Applied AI Software Engineer, GTM Growth Engineering

OpenAI
San Francisco
Workplace: OnsiteFull timeUSD 230,000 - 385,000 annuallyFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Product judgment","Pragmatism","Cross-functional collaboration"]

Own the end-to-end agent improvement loop for AI-powered go-to-market workflows. Instrument agent behavior, tool use, decisions, and human edits to diagnose failure modes and connect changes to measurable outcomes like customer engagement, conversion, qualified pipeline, and team productivity. Build production backend services, APIs, data models, and evaluation pipelines, and run controlled experiments and rollouts in partnership with Engineering, Product, Data Science, Sales, and B2B Marketing.

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FursaFursa
OpenAI
OpenAI
1 month ago

Applied AI Software Engineer, GTM Growth Engineering

āœ“ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the end-to-end agent improvement loop for AI-powered go-to-market workflows. Instrument agent behavior, tool use, decisions, and human edits to diagnose failure modes and connect changes to measurable outcomes like customer engagement, conversion, qualified pipeline, and team productivity. Build production backend services, APIs, data models, and evaluation pipelines, and run controlled experiments and rollouts in partnership with Engineering, Product, Data Science, Sales, and B2B Marketing.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • ā€¢Own the production improvement loop across agent behavior, feedback, evaluation, experimentation, and verified business outcomes.
  • ā€¢Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes are understood in context.
  • ā€¢Define quality standards, representative evaluation datasets, regression coverage, and production monitoring for real GTM workflows.
  • ā€¢Investigate underperformance across context, knowledge, instructions, tools, routing, guardrails, or workflow design.
  • ā€¢Design and ship targeted behavior improvements and build backend services, APIs, data models, and feedback pipelines to make behavior observable and steerable.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually
Equity and Bonus:Equity

Key Requirements

  • ā€¢4+ years of software, backend, applied AI, or product-engineering experience building reliable production systems.
  • ā€¢Experience building AI agents or LLM-powered applications that operated on real production traffic.
  • ā€¢Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or careful systems design.
  • ā€¢Practical experience with evaluation design, regression testing, human/model grading, online quality signals, or controlled experiments.
  • ā€¢Strong backend engineering skills across Python, APIs, data pipelines, stateful workflows, and production services.
Experience:4+ yearsAI agentsLLM-powered applicationsProduction engineeringEvaluationExperimentation
Skills:Product judgmentPragmatismCross-functional collaboration
Tech Stack:PythonAPIs

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
WebsiteLinkedInGlassdoor