Applied AI Software Engineer, GTM Growth Engineering

Details

GTM Growth Engineering builds AI-native products that help OpenAI's go-to-market and B2B marketing organizations scale with greater speed, intelligence, and operational effectiveness. The team applies OpenAI models to real business workflows and builds systems for customer context, agent behavior, feedback, evaluation, experimentation, and appropriate human oversight.

This role focuses on building production systems that help AI-powered go-to-market workflows improve over time. The engineer will connect agent behavior, customer and operator feedback, evaluation, experimentation, and business outcomes to make these systems more effective, reliable, and responsive to evolving customer needs.

This is a deeply technical, cross-functional role with end-to-end ownership of the agent improvement loop: understanding production behavior, identifying failure modes, improving how systems decide or act, and validating the resulting impact. The role partners with Engineering, Product, Data Science, Sales, and B2B Marketing to improve customer engagement, conversion, qualified pipeline, and team productivity.

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 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 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.

Requirements

• 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 operating on real production traffic.
• Experience diagnosing and improving agent behavior using production traces, user feedback, evaluation, experimentation, or 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, including the ability to scope ambiguous problems, ship useful improvements, and build toward a durable system.

Nice to Have

• Experience building agent evaluation, observability, experimentation, or AI infrastructure products.
• Experience with production replay, LLM grading, human-labeled datasets, shadow evaluation, or staged rollout.
• Experience improving model or agent behavior through context design, prompting, tools, decision logic, or feedback loops.
• Experience with sales, B2B marketing, revenue, CRM, campaign, or other GTM-facing systems.
• Experience measuring customer engagement, qualified pipeline, conversion, or operational efficiency.

Benefits

• Base salary of $230,000–$385,000 USD, plus equity.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent care expenses, commuter expenses, parking, and transit.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, company holidays, office closures, and 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 offices and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

OpenAI is an equal opportunity employer and is committed to reasonable accommodations for applicants with disabilities. Background checks are administered in accordance with applicable law.