Base Salary
$230k - $385k/yr
Responsibilities
- Partner with Software Engineering and Data Engineering managers as a peer technical leader.
- Own the architecture, implementation, launch, and operation of one or more high-impact initiatives.
- Guide cross-team, difficult-to-reverse, and materially consequential design decisions involving security, financial controls, reliability, data quality, or long-term cost.
- Establish engineering standards for architecture, APIs, data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership.
- Advance standards for AI-enabled engineering, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement.
- Work across backend, full-stack, data, and big-data systems and make appropriate system-boundary decisions.
- Partner with Engineering, Applications, Product, Finance, Supply Chain, Security, and other stakeholders to translate ambiguous needs into durable technical systems.
- Raise the technical capability of both teams through design reviews, code reviews, mentoring, written guidance, and reusable reference implementations.
- Protect team autonomy by focusing involvement on consequential decisions and avoiding routine approval gates.
Requirements
- Significant professional engineering experience with sustained staff-level or equivalent individual-contributor impact.
- Ability to reason across full-stack applications, including user experience, client architecture, backend services, integrations, authorization, and durable state.
- Strong data-engineering judgment across analytical modeling, batch or streaming pipelines, orchestration, lineage, quality, scale, and downstream data contracts.
- Demonstrated experience designing, building, shipping, and operating consequential systems.
- Experience leading important technical decisions and cross-team initiatives through influence and clear reasoning.
- Strong focus on correctness, security, data quality, auditability, operational excellence, and measurable outcomes.
- Clear communication skills with engineers, managers, and non-technical partners.
- Prior people management is not required and is a plus.
- Experience with internal products, developer platforms, workflow systems, or analytics platforms used across multiple teams is a plus.
- Experience with LLM applications, durable agents, AI evaluations, plugins, MCPs, or AI-enabled engineering measurement is a plus.
- Experience in Finance, Supply Chain, accounting, procurement, ERP, or other domains requiring controls, reconciliation, and traceability is a plus.
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.