Tech Lead, Finance & Supply Chain Engineering

Details

About the Team

The Finance & Supply Chain Engineering organization includes two complementary teams. Software Engineering builds internal full-stack applications, durable agentic workflows, plugins, MCPs, and measurable AI-enabled engineering practices. Data Engineering builds trusted analytics data assets for Finance and Supply Chain. The teams have distinct charters, with important shared dependencies and broad cross-team partnerships across Engineering, Applications, Finance, and Supply Chain.

About the Role

This is a hands-on senior technical leadership, individual-contributor role with no immediate people-management responsibility. Reporting alongside the Software Engineering and Data Engineering managers, the Tech Lead will raise the technical bar across both teams, participate in important cross-team or high-risk design decisions, and directly own and ship high-impact work. The role is intended to improve team judgment and autonomy rather than act as a floating architect or universal approval gate.

Responsibilities

• Partner with the Software Engineering and Data Engineering managers as a peer technical leader; managers retain accountability for people, staffing, priorities, performance, and delivery commitments.
• Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives, remaining accountable for real outcomes rather than advisory output alone.
• Guide important design decisions that are cross-team, difficult to reverse, or material to security, financial controls, reliability, data quality, or long-term cost of ownership.
• Establish pragmatic engineering standards across architecture, APIs and data contracts, testing, security, reliability, observability, lineage, data quality, and operational ownership.
• Advance engineering standards for building with AI, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement.
• Work across backend, full-stack, data, and big-data systems, making sound boundary decisions and bringing the right domain experts into the design.
• 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, clarifying principles and tradeoffs, and avoiding becoming a required approver for routine or reversible work.

Requirements

• Significant professional engineering experience with sustained staff-level or equivalent impact as an individual contributor. Prior people management is not required but is a plus.
• Ability to reason across a full-stack application, from user experience and client architecture through 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.
• Experience personally designing, building, shipping, and operating consequential systems, with the ability to move from architecture to implementation details without relying on positional authority.
• Experience leading important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership.
• Strong focus on correctness, security, data quality, auditability, operational excellence, and measurable outcomes.
• Clear communication with engineers, managers, and non-technical partners; ability to lead with context and principles rather than control.

Nice to Have

• Experience building internal products, developer platforms, workflow systems, or analytics platforms used across multiple teams.
• Experience with LLM applications, durable agents, AI evaluations, plugins, MCPs, or measurement of AI-enabled engineering outcomes.
• Experience in Finance, Supply Chain, accounting, procurement, ERP, or another domain where controls, reconciliation, and traceability matter.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. OpenAI is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Background checks for applicants will be administered in accordance with applicable law. OpenAI provides reasonable accommodations to applicants with disabilities. Additional information is available in OpenAI's policies referenced in the original posting.

Benefits

• Base salary of $230,000–$385,000 per year, plus equity.
• Performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health, dependent care, and commuter expenses.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Paid time off, paid company holidays, office closures, and paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily meals in offices and meal delivery credits as eligible.
• Relocation support for eligible employees.
• Additional taxable fringe benefits may include charitable donation matching and wellness stipends.