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Applied AI Software Engineer, GTM Growth Engineering

OpenAI· Applied AI
Apply on company site
San Francisco$266k - $405kFull-timePosted 2mo ago

About the role

Role focusing on building production systems to improve AI-powered go-to-market workflows, with end-to-end ownership of the agent improvement loop and cross-functional collaboration across Engineering, Product, Data Science, Sales, and B2B Marketing.

Responsibilities

  • Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes.
  • Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context.
  • Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows.
  • Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design.
  • Design and ship targeted behavior improvements, including changes to prompting, context construction, decision logic, tool use, and human-review paths.
  • Build backend services, APIs, data models, and feedback pipelines that make agent behavior observable, steerable, and reproducible.
  • Run controlled experiments, production replays, or staged rollouts to measure whether changes improve quality and downstream business results.
  • Partner with Product, Data Science, Sales, and B2B Marketing to prioritize high-value problems and define customer and business success.
  • Ship with appropriate safeguards for privacy, security, reliability, human oversight, and safe operational rollout.

Qualifications

  • 4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems.
  • Experience building AI agents, LLM-powered applications, or other model-driven workflows that operated on real production traffic.
  • Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or careful systems design.
  • Practical experience with evaluation design, regression testing, human or model grading, online quality signals, or controlled experiments.
  • Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services.
  • Strong product judgment and the ability to connect technical changes to customer experience, conversion, qualified pipeline, or operational efficiency.
  • Comfort working across model behavior, context, knowledge, tools, workflow state, and human-in-the-loop decisions.
  • Ability to work closely with technical and non-technical partners across Engineering, Product, Data Science, Sales, and B2B Marketing.
  • A pragmatic mindset: you can scope ambiguous problems, ship useful improvements, and build toward a durable system.

Skills

Required:PythonAPIsData pipelinesProduction systemsAgent behaviorEvaluation design

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 24, 2026. Interested? Apply on the company site.

About OpenAI

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