Senior/Staff FDE - CUA

Snorkel AI
New York, San Francisco
Workplace: HybridFull timeUSD 180,000 - 320,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Technical communication","Problem-solving","Stakeholder management"]

Lead technical delivery for customer engagements building and improving computer-use agents. Design task environments, datasets, evaluation workflows, and automated evaluators to measure completion, correctness, robustness, and efficiency. Diagnose agent failures across planning, tool use, perception, and UI interaction, then translate findings into reusable task suites, datasets, and production-grade assets. Partner across discovery, solution design, implementation, evaluation, and production delivery while communicating tradeoffs and recommendations.

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Snorkel AI
Snorkel AI
2 days ago

Senior/Staff FDE - CUA

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Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead technical delivery for customer engagements building and improving computer-use agents. Design task environments, datasets, evaluation workflows, and automated evaluators to measure completion, correctness, robustness, and efficiency. Diagnose agent failures across planning, tool use, perception, and UI interaction, then translate findings into reusable task suites, datasets, and production-grade assets. Partner across discovery, solution design, implementation, evaluation, and production delivery while communicating tradeoffs and recommendations.
Location: New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •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 and real-world workflows into representative multi-step tasks with clear success criteria, then develop data-generation, validation, and quality-assurance pipelines.
  • •Build automated evaluators and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements.
  • •Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions.
  • •Identify recurring patterns across engagements and turn successful approaches into reusable task frameworks, evaluators, tooling, and best practices.

Pay and Benefits

Salary: USD 180,000 - 320,000 annually
Equity and Bonus:Equity

Key Requirements

  • •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 (e.g., LLM-as-a-judge/model-based evaluation, defining metrics, using empirical results).
  • •Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards).
Experience:Machine learningApplied AILLM/agentic systemsComputer-use agentsForward deployed engineeringSolutions engineering
Skills:Technical communicationProblem-solvingStakeholder management
Languages:English
Tech Stack:PythonMachine learningLLMAgentic systemsComputer-use agentsAPIsAutomationBrowser-based systemsDesktop applicationsMultimodal modelsRLReward designEvaluationDatasets

Company Brief

Snorkel AI
Develops a programmatic data labeling platform and tools to accelerate machine learning by enabling teams to generate, manage, and maintain training datasets through weak supervision and automations.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series C
Headquarters: Palo Alto, United States
Founded: 2019
WebsiteLinkedIn