Applied AI Software Engineer, GTM Growth Engineering

The role

You will build production systems to improve AI-powered go-to-market workflows. You will own the agent improvement loop by connecting agent behavior, feedback, evaluation, and business outcomes.

What you will do

• Own the production improvement loop across agent behavior, feedback, evaluation, and experimentation.
• Instrument agent workflows to understand model interactions, tool use, and decisions.
• Define quality standards, evaluation datasets, and production monitoring.
• Investigate why agents underperform across context, knowledge, tools, or routing.
• Design and ship behavior improvements including prompting and decision logic.
• Build backend services, APIs, data models, and feedback pipelines.
• Run controlled experiments, production replays, or staged rollouts.
• Partner with Product, Data Science, Sales, and B2B Marketing to prioritize problems.
• Ship with safeguards for privacy, security, reliability, and human oversight.

Required 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.
• The 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.

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.

Before you apply

• Background checks for applicants will be administered in accordance with applicable law.

About the company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They seek to safely deploy AI to the world through their products.