# Tech Lead, Finance & Supply Chain Engineering **Company**: OpenAI **Location**: San Francisco **Work arrangement**: onsite **Experience**: senior **Job type**: Full time **Salary**: $230K - $385K **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q124605186 **Apply**: https://jobs.ashbyhq.com/openai/5f17de2e-ab3f-4fc3-be23-a6edd916337b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_b0e084b7-f7d ## Description ## Compensation The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $230K – $385K, with generous equity, performance-related bonuses, and the following benefits: - Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts - Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit) - 401(k) retirement plan with employer match - Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks) - Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees - 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time - Mental health and wellness support - Employer-paid basic life and disability coverage - Annual learning and development stipend to fuel your professional growth - Daily meals in our offices, and meal delivery credits as eligible - Relocation support for eligible employees - Additional taxable fringe benefits, such as charitable donation matching and wellness stipends ## About the Team The Finance & Supply Chain Engineering organization includes two complementary teams: Software Engineering and Data Engineering. 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. ## About the Role We are looking for a hands-on senior technical leader who will report alongside the Software Engineering and Data Engineering managers. This is an individual-contributor role with no immediate people-management responsibility. 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. **In this role, you will:** - Partner with the Software Engineering and Data Engineering managers as a peer technical leader - Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives - 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 deeply 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: focus involvement on consequential decisions, clarify principles and tradeoffs, and avoid becoming a required approver for routine or reversible work ## You might thrive in this role if you: - Have significant professional engineering experience with sustained staff-level or equivalent impact as an individual contributor - Can reason across a full-stack application,from user experience and client architecture through backend services, integrations, authorization, and durable state - Have strong data-engineering judgment across analytical modeling, batch or streaming pipelines, orchestration, lineage, quality, scale, and downstream data contracts - Have personally designed, built, shipped, and operated consequential systems, and can go from architecture to implementation details without relying on positional authority - Have led important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership - Care deeply about correctness, security, data quality, auditability, operational excellence, and measurable outcomes - Communicate clearly with engineers, managers, and non-technical partners; 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 ## Skills ### Required - full-stack application - data engineering - analytical modeling - batch or streaming pipelines - orchestration - lineage - quality - scale - downstream data contracts - AI engineering - agentic workflows - evaluation - telemetry - adoption - outcome measurement ### Nice to have - LLM applications - durable agents - AI evaluations - plugins - MCPs - measurement of AI-enabled engineering outcomes - Finance - Supply Chain - accounting - procurement - ERP --- Source: [Apply at jobs.ashbyhq.com](https://jobs.ashbyhq.com/openai/5f17de2e-ab3f-4fc3-be23-a6edd916337b?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)