OpenAI

1 week ago

Tech Lead, Finance & Supply Chain Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead high-impact engineering across Finance & Supply Chain, partnering with Software and Data Engineering managers as a peer technical leader. Own the architecture, implementation, launch, and operations of critical initiatives spanning backend, full-stack, data, and big-data systems. Establish engineering standards for APIs and data contracts, testing, security, reliability, observability, and lineage—while advancing AI-enabled engineering practices like agentic workflows, evaluation, telemetry, and outcome measurement.

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Partner with Software Engineering and Data Engineering managers as a peer technical leader while maintaining accountability boundaries with managers for people and delivery commitments.
•Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives with accountability for real outcomes.
•Guide cross-team, high-risk, or hard-to-reverse design decisions affecting security, financial controls, reliability, data quality, and total cost of ownership.
•Establish pragmatic engineering standards for architecture, APIs/data contracts, testing, security, reliability, observability, lineage, and operational ownership.
•Advance engineering standards for AI-enabled systems, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•Have 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.
•Reason across full-stack applications, from user experience and client architecture through backend services, integrations, authorization, and durable state.
•Demonstrate 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, able to move from architecture to implementation details without relying on positional authority.
•Lead important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership.

Skills:CommunicationMentoringInfluenceCross-team collaborationJudgment

Tech Stack:APIsData contractsAgentic workflowsMCPsPluginsLLM applicationsTelemetryObservabilityLineageBatch pipelinesStreaming pipelines

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor

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OpenAI

1 week ago

Tech Lead, Finance & Supply Chain Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Onsite

Employment Type: Full time

Job Function: Supply Chain & Logistics

Seniority: Mid level

Key Responsibilities

•Partner with Software Engineering and Data Engineering managers as a peer technical leader while maintaining accountability boundaries with managers for people and delivery commitments.
•Directly own the architecture, implementation, launch, and operation of one or more high-impact initiatives with accountability for real outcomes.
•Guide cross-team, high-risk, or hard-to-reverse design decisions affecting security, financial controls, reliability, data quality, and total cost of ownership.
•Establish pragmatic engineering standards for architecture, APIs/data contracts, testing, security, reliability, observability, lineage, and operational ownership.
•Advance engineering standards for AI-enabled systems, including agentic workflows, evaluation, telemetry, adoption, and outcome measurement.

Pay and Benefits

Salary: USD 230,000 - 385,000 annually

Key Requirements

•Have 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.
•Reason across full-stack applications, from user experience and client architecture through backend services, integrations, authorization, and durable state.
•Demonstrate 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, able to move from architecture to implementation details without relying on positional authority.
•Lead important technical decisions and cross-team initiatives through influence, clear reasoning, and trusted partnership.

Skills:CommunicationMentoringInfluenceCross-team collaborationJudgment

Tech Stack:APIsData contractsAgentic workflowsMCPsPluginsLLM applicationsTelemetryObservabilityLineageBatch pipelinesStreaming pipelines

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Hectocorn (USD 100B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2015

Glassdoor: 4.4

Website LinkedIn Glassdoor