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Operator Sr Agent Architect (Germany) at Parloa

Design and deploy enterprise AI agent architectures, integrate with customer systems, and optimize conversational AI performance using prompt engineering and LLM knowledge.

Senior Remote Posted 29 minutes ago RemoteFirstJobs Product
What this role involves

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role

As a Sr Agent Architect at Parloa, you will act as a solution architect for enterprise AI Agent deployments. You will design end-to-end system architectures that connect Parloa’s platform to complex enterprise environments, solve multi-system integration challenges, and apply systems thinking to build reliable, scalable AI solutions for global enterprise clients.

You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent behavior. Architecture and integration depth are the core of this role. Conversational design skills are valued and can be developed on the job.

Areas of ownership

  • Design end-to-end solution architectures for AI Agent deployments, mapping how Parloa’s platform integrates into customers’ enterprise systems (CRMs, ERPs, ticketing systems, contact center platforms).
  • Build and configure integrations using integration platforms and APIs, applying systems thinking to solve complex, multi-system data flows.
  • Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
  • Apply structured testing approaches to validate architecture, integration reliability, and AI agent performance under real-world conditions.
  • Identify and resolve blockers together with other departments at Parloa (e.g., Product, Solution Engineering, Sales) and the customer.
  • Scope AI Agent deployments, providing strategic architecture advice and execution support to customers and partners.
  • Use your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design prompts for reliable, user-aligned agent behavior.
  • Translate complex customer workflows into structured conversational components that LLMs can execute reliably.
  • Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
  • Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are

  • 3+ years of experience in enterprise customer-facing roles, with proven expertise in solution architecture, systems architecture, or enterprise integration.
  • Strong systems thinking, with a track record of solving complex technical problems across multiple systems and data sources.
  • Experience with complex SaaS implementations at scale (CRMs, ERPs, contact center platforms, ticketing systems).
  • Proficiency in REST API design, JSON/XML data structures, API testing tools (e.g., Postman), and API authentication patterns (OAuth, API keys, JWT).
  • Experience reading and consuming API documentation across enterprise SaaS platforms, including data transformation and field mapping logic.
  • Analytical and critical thinker with expertise in risk assessment and problem-solving.
  • Strong project and stakeholder management skills, with a passion for meeting milestones and effective communication.
  • Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact.
  • Ability to analyze customer requirements and translate them into LLM prompts and conversational flows, with attention to subtle conversational nuance and A/B testing to assess agent performance.
  • Prior conversation design, prompt engineering (e.g., chain-of-thought, few-shot learning), or A/B testing experience is a plus, not a requirement - we will train this.
  • Excellent written and spoken German and English skills are required.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale and want your work to matter in real, everyday moments, this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

Read the full description
Operator Operations Engineer at MUI

Build automated internal tools, data models, and AI-driven workflows across Finance, GTM, People, and Product to eliminate manual operational bottlenecks.

Senior Remote Posted about 1 hour ago RemoteFirstJobs Product
What this role involves

Details of the role

  • Location: Remote (preference for UTC-6 to UTC+5).

  • Type of work: Full-time (contractor or employee depending on circumstances).

  • Level: IC4 Senior and above.

  • We’re a remote company, operating mostly asynchronously.

The company

MUI’s story began in 2014 with Material UI, the most successful React implementation of Google’s Material Design. This open-source project has paved the way for the fully-fledged startup known as MUI (founded in 2019), which now boasts an ever-expanding ecosystem of React UI products. We’re a company of 40 people as of 2026, and we’re growing steadily.

The products

MUI is best known for our flagship product, Material UI—but this is just one of the UI libraries we maintain. Material UI is complemented by advanced components through MUI X (Data Grid, Charts, Date and Time Pickers, Tree View) for more complex user interactions and data visualization needs. Base UI is our headless component library. We also host Design Kits and pre-built Templates.

The culture

MUI is a fully remote company with a team that spans the globe. The majority of our work is asynchronous, and we rely on written communication to collaborate. We’re radically transparent: a lot of our work happens in public. Each contributor has the freedom to decide how and when they work, and that work is primarily self-directed: it’s your responsibility to define and complete your own tasks in a timely manner.

For additional details about the culture, you can check our careers and about pages and also our public Handbook.

Why we’re hiring

MUI is scaling, but traditional business operations have become a strong bottleneck to our growth. The leadership team is spending too much time on manual, repetitive tasks, building spreadsheets, debugging ETL regressions, wiring SaaS tools together, firefighting operational issues, etc.

Rather than hiring a conventional IT team, we treat internal company operations as an engineering problem. We believe that applying systems thinking, modern software engineering, and AI automation directly to business operations will create immense leverage.

We are opening this role to act as a hands-on force multiplier across the organization—building zero-defect data models, automated internal tools, and AI-driven workflows across Finance, GTM (RevOps, Sales, Marketing), People, and Product.

Overall, both our open-source community and our premium products are growing fast. We need talented people to keep up with the demands of our exigent community!

Why this is interesting

  • Function as a modern hands-on CIO / Head of business systems: Instead of managing large corporate budgets or enterprise governance, you will directly apply software engineering (TypeScript, SQL, AI frameworks) to real-world business systems.

  • Massive organizational leverage: You will step into cross-functional gaps to eliminate operational bottlenecks, saving hundreds of hours of leadership time and accelerating company velocity.

  • High-agency autonomy: Operating without a rigid backlog, you will systematically map MUI’s cross-functional workflows using Lean principles, identify high-leverage opportunities, and build end-to-end technical solutions.

  • AI-first execution: You will be at the forefront of implementing AI agents, LLM tool integrations, and low-code orchestration engines to automate routine business tasks across every department.

Our products empower React developers to build awesome applications faster – we see millions of developers on MUI’s docs every year, one million a month.

The role

Key responsibilities

Depending on the day, you’ll:

  • Internal systems architecture & management (Modern IT/CIO): Own, maintain, and connect the company’s internal software stack—from CRM, billing, and Accounting platforms to internal databases and analytics dashboards.

  • AI & workflow automation engine: Identify, prototype, and build custom scripts (SQL, JavaScript), AI agents, low-code integrations (for example, Zapier, Make), etc. to eliminate manual tasks across People, Finance, Sales, Marketing, Product, and Operations.

  • GTM & RevOps technical execution: Partner with Sales and Marketing to streamline lead pipelines, customer data enrichment, conversion funnels, and customer-facing website updates.

  • Data Engineering & Operational analytics: Build and maintain data pipelines, operational dashboards, and data models to power strategic decision-making (for example, pricing model LTV analysis, product adoption telemetry, sales PO volumes, npm/GitHub ecosystem metrics, or OKRs progress).

  • Process engineering & Systems optimization: Apply the five core Lean principles and systems analysis to map company workflows, identify operational or financial bottlenecks, and build technological solutions to resolve them.

  • Technical force multiplier for Leadership: Serve as a direct execution arm for executive leadership—stepping in to resolve unowned, cross-cutting technical issues across products, vendor platforms, or internal operations.

Who we’re looking for

Required

  • High-agency & Cross-functional judgment: Self-directed problem solver who thrives in ambiguity and can prioritize among many opportunities. See Manager of one.

  • High conscientiousness & Detail rigor: Strong commitment to eventually reach no-defect execution; double-checks everything, maintains immaculate documentation, focuses on friction-free user experiences.

  • Modern business Tech Stack management (CIO/RevOps): Technical mastery over core SaaS ecosystems (Salesforce/HubSpot, Stripe, NetSuite/Xero, Segment, GitHub/npm APIs).

  • Full-Stack engineering: Proficiency in TypeScript and SQL; can quickly build internal tools, scripts, and API integrations.

  • Systems & Process engineering (Lean/Systems thinking): Ability to map cross-functional workflows, spot operational bottlenecks, and apply Lean principles to eliminate non-value-added steps.

  • Data engineering & Analytics architecture: Track record of designing reliable data pipelines, maintaining zero-defect data models, and delivering actionable BI dashboards (Revenue, LTV, PLG telemetry). For example, ensures data & financial models match to the cent.

  • Workflow automation & AI agents: Hands-on experience with modern AI workflows (LLM APIs, agentic frameworks, function calling) alongside low-code orchestration engines (for example, Pipedream, Make, Zapier, n8n).

  • 4+ years of professional software engineering experience, with at least 2+ years spent building internal tools, data pipelines, or cross-functional business automation.

Nice to have (but not required)

  • Prior experience as an early-stage startup founder, Technical Operations Lead, GTM Engineer, Finance Ops Engineer, or Principal Engineer with cross-functional scope.

  • Experience with React, Next.js, and MUI’s tool ecosystem.

  • Deep familiarity with open-source ecosystems, developer tools, or PLG (Product-Led Growth) telemetry metrics.

  • Background in applying Lean principles within knowledge work or software development contexts.

Benefits and compensation

We offer competitive compensation commensurate with your experience level and location and are prepared to pay top market rates for someone who can clearly exceed the role’s expectations. You can find the other perks and benefits on the careers page.

Don’t meet every requirement? Apply anyway! Research shows that certain folks are less likely to apply for a role than others unless they meet 100% of the outlined qualifications. If this role excites you, we want to hear from you. We’d love for you to share the unique skills, passion, and experience you could bring to MUI.

Read the full description
Operator Operations Engineer at MUI

Build automated internal tools, AI-driven workflows, and data models to streamline Finance, GTM, People, and Product operations across the organization.

Senior Remote Posted about 1 hour ago RemoteFirstJobs Product
What this role involves

Details of the role

  • Location: Remote (preference for UTC-6 to UTC+5).

  • Type of work: Full-time (contractor or employee depending on circumstances).

  • Level: IC4 Senior and above.

  • We’re a remote company, operating mostly asynchronously.

The company

MUI’s story began in 2014 with Material UI, the most successful React implementation of Google’s Material Design. This open-source project has paved the way for the fully-fledged startup known as MUI (founded in 2019), which now boasts an ever-expanding ecosystem of React UI products. We’re a company of 40 people as of 2026, and we’re growing steadily.

The products

MUI is best known for our flagship product, Material UI—but this is just one of the UI libraries we maintain. Material UI is complemented by advanced components through MUI X (Data Grid, Charts, Date and Time Pickers, Tree View) for more complex user interactions and data visualization needs. Base UI is our headless component library. We also host Design Kits and pre-built Templates.

The culture

MUI is a fully remote company with a team that spans the globe. The majority of our work is asynchronous, and we rely on written communication to collaborate. We’re radically transparent: a lot of our work happens in public. Each contributor has the freedom to decide how and when they work, and that work is primarily self-directed: it’s your responsibility to define and complete your own tasks in a timely manner.

For additional details about the culture, you can check our careers and about pages and also our public Handbook.

Why we’re hiring

MUI is scaling, but traditional business operations have become a strong bottleneck to our growth. The leadership team is spending too much time on manual, repetitive tasks, building spreadsheets, debugging ETL regressions, wiring SaaS tools together, firefighting operational issues, etc.

Rather than hiring a conventional IT team, we treat internal company operations as an engineering problem. We believe that applying systems thinking, modern software engineering, and AI automation directly to business operations will create immense leverage.

We are opening this role to act as a hands-on force multiplier across the organization—building zero-defect data models, automated internal tools, and AI-driven workflows across Finance, GTM (RevOps, Sales, Marketing), People, and Product.

Overall, both our open-source community and our premium products are growing fast. We need talented people to keep up with the demands of our exigent community!

Why this is interesting

  • Function as a modern hands-on CIO / Head of business systems: Instead of managing large corporate budgets or enterprise governance, you will directly apply software engineering (TypeScript, SQL, AI frameworks) to real-world business systems.

  • Massive organizational leverage: You will step into cross-functional gaps to eliminate operational bottlenecks, saving hundreds of hours of leadership time and accelerating company velocity.

  • High-agency autonomy: Operating without a rigid backlog, you will systematically map MUI’s cross-functional workflows using Lean principles, identify high-leverage opportunities, and build end-to-end technical solutions.

  • AI-first execution: You will be at the forefront of implementing AI agents, LLM tool integrations, and low-code orchestration engines to automate routine business tasks across every department.

Our products empower React developers to build awesome applications faster – we see millions of developers on MUI’s docs every year, one million a month.

The role

Key responsibilities

Depending on the day, you’ll:

  • Internal systems architecture & management (Modern IT/CIO): Own, maintain, and connect the company’s internal software stack—from CRM, billing, and Accounting platforms to internal databases and analytics dashboards.

  • AI & workflow automation engine: Identify, prototype, and build custom scripts (SQL, JavaScript), AI agents, low-code integrations (for example, Zapier, Make), etc. to eliminate manual tasks across People, Finance, Sales, Marketing, Product, and Operations.

  • GTM & RevOps technical execution: Partner with Sales and Marketing to streamline lead pipelines, customer data enrichment, conversion funnels, and customer-facing website updates.

  • Data Engineering & Operational analytics: Build and maintain data pipelines, operational dashboards, and data models to power strategic decision-making (for example, pricing model LTV analysis, product adoption telemetry, sales PO volumes, npm/GitHub ecosystem metrics, or OKRs progress).

  • Process engineering & Systems optimization: Apply the five core Lean principles and systems analysis to map company workflows, identify operational or financial bottlenecks, and build technological solutions to resolve them.

  • Technical force multiplier for Leadership: Serve as a direct execution arm for executive leadership—stepping in to resolve unowned, cross-cutting technical issues across products, vendor platforms, or internal operations.

Who we’re looking for

Required

  • High-agency & Cross-functional judgment: Self-directed problem solver who thrives in ambiguity and can prioritize among many opportunities. See Manager of one.

  • High conscientiousness & Detail rigor: Strong commitment to eventually reach no-defect execution; double-checks everything, maintains immaculate documentation, focuses on friction-free user experiences.

  • Modern business Tech Stack management (CIO/RevOps): Technical mastery over core SaaS ecosystems (Salesforce/HubSpot, Stripe, NetSuite/Xero, Segment, GitHub/npm APIs).

  • Full-Stack engineering: Proficiency in TypeScript and SQL; can quickly build internal tools, scripts, and API integrations.

  • Systems & Process engineering (Lean/Systems thinking): Ability to map cross-functional workflows, spot operational bottlenecks, and apply Lean principles to eliminate non-value-added steps.

  • Data engineering & Analytics architecture: Track record of designing reliable data pipelines, maintaining zero-defect data models, and delivering actionable BI dashboards (Revenue, LTV, PLG telemetry). For example, ensures data & financial models match to the cent.

  • Workflow automation & AI agents: Hands-on experience with modern AI workflows (LLM APIs, agentic frameworks, function calling) alongside low-code orchestration engines (for example, Pipedream, Make, Zapier, n8n).

  • 4+ years of professional software engineering experience, with at least 2+ years spent building internal tools, data pipelines, or cross-functional business automation.

Nice to have (but not required)

  • Prior experience as an early-stage startup founder, Technical Operations Lead, GTM Engineer, Finance Ops Engineer, or Principal Engineer with cross-functional scope.

  • Experience with React, Next.js, and MUI’s tool ecosystem.

  • Deep familiarity with open-source ecosystems, developer tools, or PLG (Product-Led Growth) telemetry metrics.

  • Background in applying Lean principles within knowledge work or software development contexts.

Benefits and compensation

We offer competitive compensation commensurate with your experience level and location and are prepared to pay top market rates for someone who can clearly exceed the role’s expectations. You can find the other perks and benefits on the careers page.

Don’t meet every requirement? Apply anyway! Research shows that certain folks are less likely to apply for a role than others unless they meet 100% of the outlined qualifications. If this role excites you, we want to hear from you. We’d love for you to share the unique skills, passion, and experience you could bring to MUI.

Read the full description
Operator Specialist Solutions Architect – AI/ML

Serves as technical ML/AI expert for customers and field teams, architecting and implementing AI/ML solutions on the Databricks platform.

Senior Posted about 1 hour ago Jobicy AI
What this role involves
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work...
Read the full description
Operator Specialist Solutions Architect – AI/ML

Acts as technical ML/AI expert advising customers and field engineers on Databricks implementations and AI/ML solutions.

Senior Posted about 7 hours ago Jobicy AI
What this role involves
P-226 As an AI/ML Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work...
Read the full description
Operator Senior/Staff FDE - Synthetic Data Generation at Snorkel AI

Leads technical delivery of synthetic data generation solutions for enterprise AI projects, designing pipelines and experiments to improve model training and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

  • Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
  • Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
  • Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
  • Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
  • Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
  • Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
  • Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
  • Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
  • Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
  • Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
  • Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
  • Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
  • Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
  • Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
  • Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

  • Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
  • Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
  • Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator Senior/Staff FDE - CUA at Snorkel AI

Senior engineer designs task environments, datasets, and evaluation frameworks for computer-use agents deployed at enterprise customers, from discovery through production delivery.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator Senior/Staff FDE - Synthetic Data Generation at Snorkel AI

Leads technical execution of synthetic data generation projects for enterprise AI customers, designing pipelines and running experiments to improve model training and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

  • Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
  • Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
  • Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
  • Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
  • Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
  • Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
  • Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
  • Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
  • Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
  • Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
  • Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
  • Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
  • Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
  • Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
  • Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

  • Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
  • Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
  • Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator Senior/Staff FDE - CUA at Snorkel AI

Leads technical execution of customer engagements with computer-use agents, designing task environments, datasets, and evaluation frameworks to improve agent reliability and performance.

Senior Posted 3 days ago RemoteFirstJobs Product
What this role involves

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

  • Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
  • Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
  • Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
  • Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
  • Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
  • Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
  • Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

  • Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
  • Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
  • Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
  • Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
  • Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

  • Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
  • Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
  • Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
  • Lead technical design reviews, share expertise, and provide guidance to other engineers
  • Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

  • 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
  • Strong Python skills and experience building reliable production software, data, or ML systems
  • Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
  • Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
  • Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
  • Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
  • Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
  • Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
  • Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
  • Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

  • Experience developing agent benchmarks, task suites, or simulators
  • Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
  • Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
  • Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
  • Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Read the full description
Operator Senior IT Systems Engineer, IT Innovation at Spring Health

Designs and builds complex business-critical automations and integrations across systems, including AI-powered workflows, to eliminate manual processes company-wide.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health’s IT Innovations team builds the automations and integrations that let every team here move faster and stay focused on removing barriers to mental healthcare. We connect our business systems and look for the manual, repetitive work across the company so we can engineer it away. As a Senior IT Systems Engineer, you will take on the most complex of that work — where requirements are ambiguous, systems are interdependent, and the right approach is not yet obvious — turning manual processes into reliable automations, and turning what you learn into the patterns the rest of the team builds from.

The toolkit keeps evolving, and AI and agent-based approaches are an increasing part of it. What stays constant is the judgment to choose an approach when there is no precedent, the care to build automations others can rely on and troubleshoot without you, and the ability to move partners toward a sound technical decision. You will work as a technical peer with teams across the company, cultivate the vendor relationships that give us leverage, and help the engineers around you grow.

This is a full-time individual contributor role reporting to the Director, IT System Engineering, and it is fully remote within the United States.

What You’ll Do

  • Design and deliver the complex, business-critical automations and integrations that connect Spring Health’s core systems, including AI-powered and agentic workflows that call our automations as tools and run inside our governance guardrails.
  • Choose the technical approach where no established pattern exists, document it so the team can repeat it, and bring recommendations that carry options, risks, and tradeoffs.
  • Look past the request to the structural cause — a brittle integration, a workflow gap, an unclear data contract — and fix the cause, not the instance.
  • Develop the reusable patterns, shared components, and agent building blocks — tool definitions, permission scopes, fallback paths — that other engineers build from, and drive adoption across IT.
  • Guide how technical principles are applied — how integrations authenticate, how errors are handled, what an agent may act on without human approval, how work is tested — and help shape new standards with Security and Compliance.
  • Own monitoring, alerting, and incident response for production automations and agents, and lead the investigation when something breaks.
  • Serve as the escalation point for IT Systems Engineers and the last escalation inside IT Innovations, reducing that volume over time through root-cause fixes, added automation, and better tooling.
  • Work as a technical peer on integration design across the company and build durable relationships with partners outside your own area of expertise, shaping approaches together rather than handing requirements over.
  • Cultivate relationships with the vendors and platform partners whose roadmaps affect our work, and bring what you learn back to the team.
  • Support the growth of IT Systems Engineers through design review and pairing, and help colleagues across the organization build orchestration and AI agent building fluency through training and shared documentation.

What Success Looks Like in This Role

  • You deliver the team’s highest-complexity automation and integration projects each quarter, against committed scope and date.
  • Production automations you own sustain a defined successful run rate (for example, 99% or better), with mean time to resolution trending down.
  • The patterns and components you author are adopted, and a rising share of new team automations build on them.
  • Escalation volume reaching you and recurring incident categories decline over time.
  • Hours of repetitive operational work reclaimed each quarter through the automations you deliver.
  • Partners outside IT Innovations bring you in early, and the shared processes you design hold up without rework.
  • IT Systems Engineers grow in capability and confidence through your support, with less design rework needed over time.

What You’ll Bring

  • 7+ years in automation, integration, or IT systems engineering, with hands-on delivery of business-critical automations.
  • Deep hands-on experience with Workato preferred — recipe design, API integrations, error handling — or another integration platform as a service (iPaaS) such as Boomi, MuleSoft, Tray, or n8n.
  • Experience integrating enterprise systems — identity and access management, human resources, ticketing, finance — using APIs, webhooks, and event-driven patterns.
  • A track record of designing reusable patterns other engineers adopt, not just individual solutions.
  • Hands-on experience building AI-powered and agentic workflows in a governed environment.
  • Proficiency in a scripting language such as Python.
  • Comfort choosing an approach on unfamiliar problems and defending it with evidence.
  • Experience partnering with engineering and security colleagues on technical design, and cultivating vendor relationships.
  • Ability to influence without authority by adapting your message to the audience, and to grow less experienced engineers.
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Workato or an equivalent iPaaS certification is a plus.

The target base salary range for this position is $125,000 - $138,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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Operator Staff Simulation Data Modeler at Onebrief

Directs AI agents to research and build military simulation entities, manages data catalog accuracy, and establishes standards for a proprietary game engine.

Senior Hybrid Posted 4 days ago RemoteFirstJobs Product
What this role involves

Consequential Work. Dedicated People.

About Onebrief

Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination.

Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real.

We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world.

Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth.

WHY THIS ROLE EXISTS

As a Staff Simulation Data Modeler at Onebrief, you own the ground truth that AtomEngine’s entire simulation stands on.

AtomEngine is our proprietary, cloud-based game engine that makes the world playable to solve real-world military problems — and every scenario it runs is only as credible as the entities inside it. You’ll build and defend that credibility: directing AI agents to research and construct entities at scale, codifying the standards and formulas that make and keep the catalog accurate, and stress-testing your own assumptions in competitive wargames before a customer ever finds the gap.

As a Simulation Data Modeler you own the AtomEngine entity catalog end to end — not just the entities themselves, but the sources, the standards, parametric formulas, tooling, and test coverage that make them credible. You’ll direct AI agents to do the bulk of first-pass research, data entry, and testing at scale, while you focus on the judgment calls: what “right” looks like, where the catalog is weakest, and how to prove it’s correct. You’ll partner closely with Customer Relations to prioritize what gets built next, with Engineering to automate testing, and with other Content Creators in competitive wargames designed to break your own assumptions before a customer does.

Key Responsibilities

Catalog strategy & prioritization

  • Lead catalog strategy across multiple catalog segments. Build and maintain a structured catalog of all entities to be created across all service branches, nations, and eras — tracking completion, freshness, and data confidence for each segment.

  • Partner with Customer Relations to translate customer and field feedback into a prioritized roadmap for which catalog segments matter most right now.

Standards & tradecraft

  • Research the sources and codify the governing principles that any agent (human or AI) must follow when building entities.

  • Research and adopt or develop defensible formulas for weapon effects, sensor effects, fuel burn, survivability, and other performance models; make calls on when to adapt existing precedent versus build an original model from scratch; defend those models directly to customers and SMEs. Partner with Engineering on implementation.

  • Create & maintain a trusted network of subject matter experts you can pull in to ground the toughest modeling calls in real-world judgment.

Agent-directed production

  • Use modern agentic AI workflows as your primary force multiplier: design prompts, review loops, and guardrails that other analysts and their agents adopt to handle first-draft research, data entry, and documentation at scale, while you supervise for accuracy and catch what they miss.

  • Envision and define requirements for tools that accelerate the team’s workflow further, and partner with Engineering to help build them.

Verification, validation & accreditation (VV&A)

  • Lead the ongoing VV&A across multiple catalog segments: is it accurate, is it tested, and can you prove it.

  • Direct which automated test batteries get built and why, partnering with Engineering to design and implement automated tests that run continuously against the content catalog, catching regressions and inconsistencies before they reach customers.

  • Organize and run competitive wargames against other Simulation Content Creators and Customer Relations to stress-test your own entities and assumptions, using the results to validate or correct parametric data.

  • Continually interrogate the catalog and drive its ongoing improvement.

Knowledge & documentation

  • Lead documentation standards across the team, and author internal and external-facing knowledge articles that defensibly explain the model’s logic and sourcing to “show your work” so customers and internal teams trust the numbers.

  • Train and mentor other analysts on the tradecraft, rubrics, and VV&A methods you’ve established.

Minimum Qualifications

  • Strong research and analytical skills, with the judgment to make sound assumptions when source data is incomplete or conflicted.

  • Demonstrated ability to direct AI agents productively, writing clear instructions, structuring review checkpoints, and catching agent errors, rather than doing all research and data entry by hand.

  • Comfort with quantitative modeling: you can reason about and sanity-check formulas for things like weapon effects, fuel consumption, or survivability, even if you’re not writing production code yourself.

  • Strong organizational skills: you can build and maintain a catalog/tracking system spanning hundreds of items without losing the thread on what’s fresh, what’s stale, and what’s next.

  • Concise, effective written and verbal communication — you’ll be authoring standards documents and knowledge articles that other people and agents must be able to follow exactly.

  • A wargamer’s mindset: you care whether the simulation is right, not just whether it runs.

  • Comfortable serving as the escalation point for contested technical calls, and defending those calls directly to customers or subject matter experts.

Preferred Qualifications

  • Experience with game modding tools, editors, or simulation authoring environments (hobbyist or professional).

  • Experience partnering with engineering on test automation or QA tooling.

  • Familiarity with military doctrine, force structure, or platform performance data.

  • Experience with version control and bug-tracking systems.

  • Experience mentoring, training, or setting technical standards adopted by other analysts or contributors.

Note that this role will evolve as modern workflows continue to.

Notice to Third Party Recruitment Agencies

Please note that Onebrief does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement Onebrief explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Onebrief.

Read the full description
Operator Senior IT Systems Engineer, IT Innovation at Spring Health

Design and deliver complex business automations and integrations across company systems, increasingly using AI and agent-based approaches to replace manual processes.

Senior Remote Posted 4 days ago RemoteFirstJobs Product
What this role involves

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health’s IT Innovations team builds the automations and integrations that let every team here move faster and stay focused on removing barriers to mental healthcare. We connect our business systems and look for the manual, repetitive work across the company so we can engineer it away. As a Senior IT Systems Engineer, you will take on the most complex of that work — where requirements are ambiguous, systems are interdependent, and the right approach is not yet obvious — turning manual processes into reliable automations, and turning what you learn into the patterns the rest of the team builds from.

The toolkit keeps evolving, and AI and agent-based approaches are an increasing part of it. What stays constant is the judgment to choose an approach when there is no precedent, the care to build automations others can rely on and troubleshoot without you, and the ability to move partners toward a sound technical decision. You will work as a technical peer with teams across the company, cultivate the vendor relationships that give us leverage, and help the engineers around you grow.

This is a full-time individual contributor role reporting to the Director, IT System Engineering, and it is fully remote within the United States.

What You’ll Do

  • Design and deliver the complex, business-critical automations and integrations that connect Spring Health’s core systems, including AI-powered and agentic workflows that call our automations as tools and run inside our governance guardrails.
  • Choose the technical approach where no established pattern exists, document it so the team can repeat it, and bring recommendations that carry options, risks, and tradeoffs.
  • Look past the request to the structural cause — a brittle integration, a workflow gap, an unclear data contract — and fix the cause, not the instance.
  • Develop the reusable patterns, shared components, and agent building blocks — tool definitions, permission scopes, fallback paths — that other engineers build from, and drive adoption across IT.
  • Guide how technical principles are applied — how integrations authenticate, how errors are handled, what an agent may act on without human approval, how work is tested — and help shape new standards with Security and Compliance.
  • Own monitoring, alerting, and incident response for production automations and agents, and lead the investigation when something breaks.
  • Serve as the escalation point for IT Systems Engineers and the last escalation inside IT Innovations, reducing that volume over time through root-cause fixes, added automation, and better tooling.
  • Work as a technical peer on integration design across the company and build durable relationships with partners outside your own area of expertise, shaping approaches together rather than handing requirements over.
  • Cultivate relationships with the vendors and platform partners whose roadmaps affect our work, and bring what you learn back to the team.
  • Support the growth of IT Systems Engineers through design review and pairing, and help colleagues across the organization build orchestration and AI agent building fluency through training and shared documentation.

What Success Looks Like in This Role

  • You deliver the team’s highest-complexity automation and integration projects each quarter, against committed scope and date.
  • Production automations you own sustain a defined successful run rate (for example, 99% or better), with mean time to resolution trending down.
  • The patterns and components you author are adopted, and a rising share of new team automations build on them.
  • Escalation volume reaching you and recurring incident categories decline over time.
  • Hours of repetitive operational work reclaimed each quarter through the automations you deliver.
  • Partners outside IT Innovations bring you in early, and the shared processes you design hold up without rework.
  • IT Systems Engineers grow in capability and confidence through your support, with less design rework needed over time.

What You’ll Bring

  • 7+ years in automation, integration, or IT systems engineering, with hands-on delivery of business-critical automations.
  • Deep hands-on experience with Workato preferred — recipe design, API integrations, error handling — or another integration platform as a service (iPaaS) such as Boomi, MuleSoft, Tray, or n8n.
  • Experience integrating enterprise systems — identity and access management, human resources, ticketing, finance — using APIs, webhooks, and event-driven patterns.
  • A track record of designing reusable patterns other engineers adopt, not just individual solutions.
  • Hands-on experience building AI-powered and agentic workflows in a governed environment.
  • Proficiency in a scripting language such as Python.
  • Comfort choosing an approach on unfamiliar problems and defending it with evidence.
  • Experience partnering with engineering and security colleagues on technical design, and cultivating vendor relationships.
  • Ability to influence without authority by adapting your message to the audience, and to grow less experienced engineers.
  • Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Workato or an equivalent iPaaS certification is a plus.

The target base salary range for this position is $125,000 - $138,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

  • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
  • Employer sponsored 401(k) match of up to 2% for retirement planning
  • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
  • We offer competitive paid time off policies including vacation, sick leave and company holidays.
  • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
  • Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
  • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
  • Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
  • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
  • Up to $1,000 Professional Development Reimbursement a year.
  • $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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Operator Enterprise Solution Consultant (AI Agents SME)

Consults with enterprise customers on implementing and optimizing AI agent solutions within a cloud contact center platform.

Senior Posted 4 days ago Himalayas
What this role involves
Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.
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Operator Mission Engineer - Port St. Lucie, Florida at Axon Spain

Embedded engineer who builds and deploys AI agents, workflows, and automations on Axon's platform to solve customer operational challenges and drive mission outcomes.

Senior Onsite Posted 11 days ago RemoteFirstJobs Product
What this role involves

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

  • Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
  • Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
  • Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
  • Iterate in the field until adoption sticks, then document patterns for reuse across accounts
  • Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
  • Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

  • Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
  • Drive hands-on adoption with the people who use what you build daily
  • Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

  • Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
  • Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
  • Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
  • Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

  • Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
  • Turn one-off builds into reusable playbooks and operational frameworks
  • Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

  • Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
  • Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
  • Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

  • Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
  • Former law enforcement or military experience preferred, not required
  • Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
  • Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
  • Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
  • Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
  • Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

  • Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
  • Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
  • Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

  • Competitive salary and 401(k) with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, dental, and vision plans
  • Fitness programs
  • Emotional and mental wellness support
  • Learning and development programs
  • And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

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Operator Mission Engineer - Pasco County at Axon Spain

Embeds onsite with law enforcement agencies to design, build, and deploy AI agents, workflows, and automations on Axon's platform to solve operational challenges.

Senior Onsite Posted 11 days ago RemoteFirstJobs Product
What this role involves

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

  • Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
  • Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
  • Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
  • Iterate in the field until adoption sticks, then document patterns for reuse across accounts
  • Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
  • Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

  • Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
  • Drive hands-on adoption with the people who use what you build daily
  • Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

  • Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
  • Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
  • Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
  • Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

  • Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
  • Turn one-off builds into reusable playbooks and operational frameworks
  • Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

  • Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
  • Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
  • Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

  • Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
  • Former law enforcement or military experience preferred, not required
  • Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
  • Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
  • Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
  • Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
  • Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

  • Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
  • Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
  • Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

  • Competitive salary and 401(k) with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, dental, and vision plans
  • Fitness programs
  • Emotional and mental wellness support
  • Learning and development programs
  • And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Read the full description
Operator Senior Customer Architect at Netomi

Designs and manages end-to-end AI agent architectures for enterprise customers, overseeing deployment quality, integration strategy, and scaling from pilot to production across multiple use cases.

Senior Posted 13 days ago RemoteFirstJobs Product
What this role involves

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role:

Netomi is seeking a Senior Customer Architect to own the technical arc of our most complex strategic enterprise accounts — multi-brand, multi-region programs with demanding security, compliance, and scale requirements. Reporting into our Customer Engineering organization, you will own the relationship from signed deal to expanded, in-production, governed value: the agent architecture, the integration blueprint, the adoption roadmap, and the evidence that it’s working.

Getting an AI agent live is no longer the hard part. The hard part is what comes after the pilot: expanding from one use case to twenty, holding quality as policies and systems change underneath you, proving containment and CSAT to a CIO, and earning the right to the next set of journeys. On our largest accounts, that work needs a senior named technical owner. That owner is the Senior Customer Architect.

You are deeply credible in a design review — able to read an execution trace, reason about why an agent chose the wrong tool, and design guardrails and evaluation strategy. You set the architecture and own quality sign-off; our Agentic Deployment team executes. Beyond your own portfolio, you raise the bar for the whole function: you mentor Customer Architects, lead playbook development for a vertical, and represent the function in the accounts where the stakes are highest. The operating principle: make deployments prescriptive and repeatable, not bespoke.

Responsibilities:

Account Architecture:

  • Design the end-to-end agent architecture across the customer’s journeys and channels — chat, email, voice, SMS, in-app — including agent decomposition, escalation and handoff design, and how autonomous and human-in-the-loop modes divide the work.
  • Design the integration blueprint against the customer’s real stack: CRM and ticketing (Salesforce, Zendesk, ServiceNow), telephony and contact center, identity, loyalty and reservations systems, order and payments, and data platform.
  • Set the guardrail, governance, and observability architecture: define what the agent must never do, how that is enforced, how it is audited, and what the customer’s compliance and risk teams see.
  • Set the architecture and governance standard the Agentic Deployment team executes against, and own quality sign-off before anything reaches production.

Technical Success Planning:

  • Author and maintain a Technical Success Plan per account: current-state architecture, target-state architecture, the sequenced roadmap between them, and the metrics defining success at each stage.
  • Define the measurement model with the customer up front — containment, resolution rate, CSAT/DSAT, deflection economics, handle time, escalation quality, cost per resolution — and hold both sides to it.
  • Run a recurring technical business review with customer leadership: what shipped, what it moved, what’s next, and what’s at risk.

Adoption & Technical Expansion:

  • Own the technical expansion path for land-and-expand: chat to email to voice to employee-facing, plus new intents, lines of business, regions, and languages.
  • Identify expansion opportunities from technical reality rather than wishful mapping, size the work honestly, and hand qualified opportunity to the account team.
  • Anticipate what breaks at the next order of magnitude — peak-event volume, new policy regimes, upstream system migrations — and get ahead of it in the roadmap.

Trusted Technical Advisor:

  • Hold the primary technical relationship with senior stakeholders: VP/Head of Customer Experience, Director of Contact Center Technology, enterprise architects, security and compliance leadership, and often the CIO.
  • Advise on the parts of the program Netomi doesn’t own — knowledge base quality, policy clarity, agent operating model, org readiness — because agent performance depends on all of it.
  • Deliver hard technical news early and clearly. Credibility is built on accurate expectation-setting, not optimism.

Partner Co-Delivery:

  • Set the architecture and quality standard that SI delivery partners build against.
  • Certify and enable partner delivery teams; scale through them rather than absorbing all delivery work.
  • Maintain quality sign-off regardless of who executes.

Prescriptive Playbooks:

  • Contribute to vertical deployment blueprints — airline, insurance, gaming, media — covering reference architecture, guardrail configuration, evaluation packs, and expansion paths.
  • Turn what works in one account into prescriptive onboarding and day-2 playbooks the whole organization deploys from.

Product Collaboration:

  • Translate field observation into specific, evidenced, pattern-based product input — quantified, not anecdotal.
  • Be a named internal voice on enterprise requirements: security posture, deployment topology, model flexibility, and auditability.

Escalation & Incident Response:

  • Lead the technical side of escalations: quality regressions, integration failures, and incidents during peak events.
  • Drive root-cause analysis with Engineering and communicate it to the customer with precision and appropriate accountability.

Practice Leadership:

  • Mentor Customer Architects on architecture decisions, account strategy, and stakeholder management; review their Technical Success Plans and quality sign-offs.
  • Lead playbook and reference architecture development for a core vertical, and drive its adoption across the account portfolio.
  • Take the first-of-kind deployments — new channels, new verticals, new deployment topologies — and turn what you learn into standards others execute against.

Requirements:

  • 10+ years in customer-facing technical roles — solutions architecture, technical account management, forward-deployed engineering, implementation architecture, or technical consulting — including sustained ownership of post-sales technical outcomes.
  • Demonstrated ownership of multiple concurrent enterprise accounts at Fortune 500 scale, including programs spanning brands, regions, or lines of business, with senior technical stakeholders and real consequences to failure.
  • Genuine technical depth: reads code and API documentation, reasons about distributed systems and integration architecture, debugs a failing data flow, and holds their own with a customer’s principal engineer.
  • Working understanding of LLM-based systems — prompting, tool use, retrieval, evaluation, guardrails, failure modes — and judgment about where they are and aren’t the right answer.
  • Consultative and prescriptive: builds playbooks, not one-offs.
  • Moves between a CIO conversation about business outcomes and an engineering conversation about trace-level agent behavior without losing either audience.
  • Comfort with ambiguity and a bias toward writing things down.
  • Track record mentoring or leading other architects or senior technical ICs, formally or informally, and raising the standard of the work around them.

Preferred Qualifications:

  • Experience co-delivering through SI partners — enabling delivery teams rather than doing all the work directly.
  • CX, contact center, or conversational AI background — CCaaS, CRM/ticketing ecosystems, IVR and voice, workforce management.
  • Depth in a core vertical: airlines and travel, media and streaming, gaming and sports betting, financial services and insurance, or retail.
  • Familiarity with enterprise security and compliance — SOC 2, HIPAA, GDPR, PCI, ISO 27001 — without escalating to Legal for every question.
  • Experience designing evaluation frameworks or quality programs for non-deterministic systems.

Disclaimer: For all United States-based applicants, please note that Netomi participates in E-Verify for the purpose of work authorization. More information on E-verify can be found here and here.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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Operator Desenvolvedor RPA SĂŞnior (UiPath)

Develops and maintains UiPath RPA automation solutions to streamline business processes and workflows.

Senior Posted 14 days ago Himalayas
What this role involves
Você é apaixonado(a) por tecnologia e inovação? 💡 No Grupo SysMap – que reúne SysMap Solutions, TriggoLabs e – acreditamos que grandes resultados nascem de pessoas incríveis.
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Operator Legal Operations Senior Manager at Gympass

Leads legal operations globally, evaluates and implements AI tools to automate contracts and litigation management, and drives efficiency improvements across the legal department.

Senior Remote Posted 18 days ago RemoteFirstJobs Product
What this role involves

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we’re revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally.

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Legal Operations Senior Manager to our Legal team in Brazil!

The Legal Operations Senior Manager strategically leads the global Legal Operations function, directing high-value operational legal projects and setting the roadmap for the automation and management of contracts, litigation management systems, and the legal team’s knowledge management practices. This role ensures the seamless and continuous functioning of all operational processes and maintains up-to-date legal knowledge bases. A critical responsibility is defining and driving the Legal team’s AI strategy, with the ability to evaluate, pilot, and implement AI tools, and to clearly articulate how AI can drive measurable productivity, efficiency, and quality improvements for the legal department, both in the short and long-term. This role shall be responsible for effectively and strategically translates the Legal team’s needs into increasingly scalable operations. The role serves as a recognized, trusted advisor to Legal and Leadership teams, leveraging advanced competence in strategic project management, hands-on AI fluency and the ability to translate AI capabilities into concrete legal workflow improvements, executive communication, and cross-functional influence to ensure deep alignment with global business objectives.

YOUR IMPACT

  • Define and lead the strategic direction for the Legal Operations team, acting as a functional leader for all global legal technology and process initiatives.
  • Serve as a recognized, trusted advisor to Legal and Leadership teams, influencing decisions by presenting legal and corresponding business rationales.
  • Independently lead complex, high-value, and cross-functional organizational projects with a global scope, balancing short-term business needs with long-term strategic implications.
  • Set the AI and technology roadmap for the Legal department, identifying specific use cases, defining expected productivity and quality outcomes at each stage, and communicating a clear business case to stakeholders.
  • Proactively anticipate regulatory shifts and technological evolution.
  • Provide direct supervision to the Legal Ops team, offering strategic mentorship and support for their performance and development while ensuring alignment with company objectives.
  • Manage talent acquisition, hiring, and onboarding for new team members to ensure the team is staffed to full capacity.
  • Cultivate and maintain strategic relationships with Legal Leadership and cross-functional partners (e.g., Business, Finance, and Product Development) to drive key strategic initiatives.
  • Oversee the management and optimization of the legal-related automation solutions, including the maintenance of all associated contractual templates.
  • Evaluate and pilot AI tools and process improvements across the Global Legal department, building a prioritized use-case roadmap with defined, measurable productivity, efficiency, and quality outcomes at each stage.
  • Manage and oversee all legal knowledge bases (e.g., intranet, CMS, LMS) to ensure they are current and accessible for the team and internal clients.
  • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

  • A Bachelor’s Degree in Information Systems, Business Administration, Law, Production Engineering, Computer Science, or a related field is required.
  • Hands-on experience using and evaluating AI tools in a professional context (e.g., contract review automation, legal research, document drafting, workflow automation), with the ability to articulate how specific AI applications drive productivity, efficiency, and quality gains for a legal team across short-, medium-, and long-term horizons.
  • Prior experience working with Salesforce as a CRM/ CLM is a plus;
  • Good proficiency in Excel.
  • A minimum of 7 years of professional experience in roles with comparable scope and responsibilities (e.g., Legal Operations, legaltech, consultancy, or comparable Operations functions) is required, including at least 2 years spent directly managing or leading a team;
  • Hands-on evaluating, piloting, and implementing Legal Operations technology — including AI tools — with demonstrable examples of delivering or articulating productivity, efficiency, or quality improvements (e.g., AI Legal Technology, Contract Lifecycle Management, Litigation management system);
  • Experience in Legal Operations and/or at a legaltech, consultancy company or comparable experience in other Operations areas (e.g., Sales Ops, Finance Ops, Marketing Ops);
  • Experience with data visualization tools such as Tableau, Looker or Power BI;
  • Demonstrated, significant experience in large-scale, global project management and delivery.
  • Fluent English is mandatory.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life.

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content.

HEALTHCARE: Health, dental, and life insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office.

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here.

Want to see what it’s really like to work here? Follow us on Instagram @lifeatwellhub and watch our team video on YouTube !

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.

#LI-REMOTE

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Operator Airtable: Senior Solutions Architect- West Coast

Senior architect designs enterprise no-code solutions and agentic workflows, translating business processes into architectures where humans and AI agents operate together.

Senior Remote Posted 19 days ago We Work Remotely — Programming
What this role involves

Headquarters: Remote-US

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

Work is being redesigned, and Airtable is built for that moment: the same platform humans run their most critical workflows on is where agents now operate alongside them. Professional Services is where that redesign happens.   The Senior Solutions Architect leads it. You hear a customer describe their problem and see the organizational design question underneath it. You bring a point of view early, design solutions that hold through delivery, and stay accountable for outcomes, not just recommendations. Depending on the engagement, you may own solution design, contribute to the build, lead delivery coordination, or all three.

What you'll do

  • Push to recommendations faster. Within the first engagements you are shaping direction and identifying where business processes need to change, not just mapping requirements. Enhanced handoffs and early POVs are how we create value at enterprise scale.
  • Recommend changes beyond the platform when the engagement calls for it: process redesign, workflow ownership, how work moves between teams and between humans and agents.
  • Design end-to-end solutions that translate existing enterprise workflows into architectures where humans and agents operate together.
  • Identify where agentic workflows create real leverage and design the handoffs that make them reliable in production.
  • Navigate organizational complexity: build coalitions, manage stakeholders with competing priorities, and find the internal champions who sustain momentum.
  • Create reusable solution patterns and reference architectures that extend impact beyond individual engagements.
  • Stay involved through delivery. Adapt the design as customer reality evolves. Hold accountability for what gets built.

Who you are

  • AI is embedded in how you work, not something you reach for on select tasks. You use AI tools to compress your own output: generating solution blueprints, structuring discovery, drafting documentation, prototyping automation logic. You have designed agentic workflows in practice, making decisions about model selection, prompt architecture, human-in-the-loop checkpoints, and where AI should not be trusted without oversight. You walk into a customer engagement and immediately identify where agentic systems create leverage versus where they introduce risk the customer isn't ready to manage.
  • You have a business process transformation background. You have led engagements where the deliverable was a change in how an organization operates, not just a software deployment.
  • 7+ years in client-facing delivery, consulting, or enterprise transformation, with a track record of leading complex engagements at VP and C-suite level.
  • Professional services or management consulting background. You know what it means to deliver to a statement of work and be accountable for outcomes.
  • You communicate across the full room: C-level sponsors, technical stakeholders, and the business SMEs whose daily work is changing. You know what each audience needs to hear and how to earn their trust.
  • You hear what a customer is not saying as clearly as what they are, and you bring a point of view on what they should do, not just what the options are.
  • Enterprise scale: thousands of users, multi-business unit complexity, compliance and security requirements that shape what can be built and when.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, Los Angeles, and New York, the on-target earnings range for this role is:$170,000—$236,900 USDFor all other work locations (including remote), the on-target earnings range for this role is:$153,000—$213,200 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here.

For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.

Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

To apply: https://weworkremotely.com/remote-jobs/airtable-senior-solutions-architect-west-coast

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Operator AI Technology Lead at Elite Technology

Guides teams through AI and agentic automation opportunities, leads experimentation and prototyping, and influences company AI strategy through hands-on technical exploration.

Senior Remote Posted 24 days ago RemoteFirstJobs Product
What this role involves

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.

Position Overview

This role is designed for an AI-fluent individual contributor who helps shape how Elite identifies, evaluates, and applies AI across both enterprise functions and product. The position partners closely with leaders and delivery teams to guide ideation around AI and agentic automation use cases, helping teams move from opportunity framing to practical implementation paths.

The position combines hands-on technical depth with strong strategic judgment. It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company’s broader AI direction through practical insight and demonstrated results. Rather than owning large-scale delivery directly, this role accelerates learning, informs decision-making, and helps establish scalable approaches that teams can adopt across the organization.

Work Arrangement:​Remote​

This role requires the individual to be based in ​Flexible across U.S. time zones​time zone.

Responsibilities

  • Guide business, product, and technology teams through ideation for AI and agentic automation opportunities, helping frame use cases, value hypotheses, feasibility, and implementation approaches
  • Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios
  • Lead experimentation and rapid prototyping to validate new ideas, reduce uncertainty, and accelerate learning before broader investment or delivery
  • Develop proof-of-concepts and reference implementations that demonstrate practical approaches for AI-enabled workflows, copilots, and agentic automation
  • Influence enterprise and product AI strategy by surfacing insights from experimentation, identifying patterns, and recommending high-value opportunities and technology directions
  • Partner with product, engineering, architecture, and business stakeholders to translate promising ideas into scalable implementation plans and adoption paths
  • Help define practical standards, reusable patterns, and guardrails for responsible AI and agentic solution design
  • Act as a trusted internal advisor on AI trends, tradeoffs, and emerging capabilities, bringing a pragmatic perspective grounded in hands-on experience
  • Build organizational confidence and fluency in AI by helping teams understand what is possible, what is practical, and how to move forward effectively
  • Reduce fragmentation by standardizing AI tools and approaches across teams while enabling innovation where it drives value
  • Contribute thought leadership that strengthens Elite’s long-term AI vision while balancing innovation, practicality, security, and business value
  • Perform other duties as assigned to support departmental and company objectives.​

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, or an equivalent combination of education and hands-on experience
  • 9+ years strong experience in AI/ML, software engineering, data platforms, solution architecture, or related technical roles, with demonstrated hands-on work in modern AI technologies
  • Hands-on experience with Generative AI, including large language models, prompt engineering, retrieval patterns, orchestration frameworks, and AI-enabled workflow automation
  • Demonstrated ability to explore new technologies quickly, build prototypes, and turn ambiguous ideas into practical recommendations and next steps
  • Experience guiding cross-functional teams through technical discovery, use case shaping, experimentation, and early implementation planning
  • Strong understanding of emerging AI patterns such as copilots, multi-step orchestration, agentic workflows, evaluation approaches, and human-in-the-loop design
  • Ability to influence senior stakeholders and strategy through clear communication, credible technical judgment, and practical insight
  • Experience balancing innovation with responsible AI considerations, including data governance, security, compliance, and operational practicality
  • Ability to travel up ​ 10–25% ​ as business needs require
  • Role requires the following physical capacity:​​Sedentary: primarily desk/computer work​
  • Must be legally authorized to work in​​United States​; ​Elite does not provide employment sponsorship for this position​

Benefits:

  • Competitive Compensation Package ($202,500-$225,000 base salary + variable component)
  • Comprehensive Healthcare Coverage (Health, Dental, Vision)
  • Retirement Savings Plan with an Employer Contribution
  • Professional Development Opportunities
  • Time Off
  • Wellness Initiatives
  • Employee Assistance Program
  • Generous Global Parental Leave
  • Calm, free premium subscription
  • Employee Discount Program

Elite may use technology, including artificial intelligence-enabled tools, to assist in aspects of the recruiting and employment process. These tools are used to support, but not replace, human decision-making.

Please note that we do not offer sponsorship for this position.

Additional Information

At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter.

In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment.

Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma .

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

We are not accepting applications submitted through recruiting agencies.

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