Applied AI Engineer for GTM Growth Systems

OpenAI; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

OpenAI is seeking an Applied AI Engineer to build production systems for AI-powered GTM workflows. You will connect agent behavior, feedback, and evaluation to improve reliability, safety, and business impact across real production traffic.

You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into measurable improvements in customer engagement, conversion, and pipeline.

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.

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.

Skills

Python

APIs

Data pipelines

Production systems

Backend engineering

Applied AI

Model-driven workflows

Job description

OpenAI is seeking an Applied AI Engineer to build production systems for AI-powered GTM workflows. You will connect agent behavior, feedback, and evaluation to improve reliability, safety, and business impact across real production traffic.

You will partner with Engineering, Product, Data Science, Sales, and B2B Marketing to turn real-world signals into measurable improvements in customer engagement, conversion, and pipeline.