Applied AI Software Engineer, GTM Growth Engineering

Highlights

• Build AI-native products that help OpenAI's GTM and B2B marketing scale.
• Own the agent improvement loop from production behavior to business outcomes.
• Turn real-world signals into safer, more effective GTM agent behavior.

What they offer

• equity

Ideal candidate

Pragmatic, product-minded builder who loves turning messy production signals into reliably improving AI agents and partnering closely with sales and marketing to drive real business impact.

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 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.