Software Engineer, Product Velocity

# Software Engineer, Product Velocity

OpenAISan Francisco (Hybrid)
Full-time $347,000 – $445,000 / year Upload your resume once and Scout applies for you Apply with Scout Share this job:

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This infrastructure role improves the development and deployment workflow used by engineers building ChatGPT-facing services. You will work across local development, build systems, CI, deploy pipelines, and production signals to reduce delays and manual intervention.
* Permanent* Hybrid
* Experienced### Skills and expertise

Bazel Buildkite Kubernetes Temporal Python Type Script Git Hub  workflows CI/CD### Key responsibilities
* Improve local development, build, and CI performance and reliability for ChatGPT engineers.
* Automate PR and deployment workflows while preserving production safety.
* Measure developer workflow health and use the results to prioritize improvements.## How this job compares

Compared with 362 open mid-level infrastructure jobs on October 10, 2026.Pay:
This job pays $347K to $445K a year. The 96 open mid-level infrastructure jobs that publish US pay start at $170K on average, so this job starts about 104% higher.

Similar open jobs:
We Love AI Jobs lists 362 open mid-level infrastructure jobs at 144 companies.

Remote work:
This job is hybrid. 57 of the 362 mid-level infrastructure jobs (16%) are remote.

AI in this role:
Low. The company works with AI, but AI is a small part of this role's daily work. The role supports the infrastructure and delivery workflows behind ChatGPT, rather than building or evaluating AI models. Agent-assisted workflows are mentioned as a nice-to-have, not the core responsibility.## Full description

About the Team The ChatGPT Velocity team owns the health of the end-to-end developer and deploy loop for ChatGPT-facing services. Our mission is to help ChatGPT engineers ship confidently with a fast, lightweight development cycle and a trusted path to production.

ChatGPT development depends on a long chain: local environments, Bazel builds, CI, tests, merges, release candidates, deploys, synthetics, alerts, and production health. When any link is slow, flaky, or unclear, engineers lose hours, fixes reach users later, and on-call load rises. This team turns that cross-cutting drag into owned, measured, and durable improvements.

About the Role We are hiring an experienced infrastructure engineer to make ChatGPT development dramatically faster and more reliable. You will work across local development, build systems, CI, deployment infrastructure, test ownership, and production safety signals to reduce the time and attention required to move a healthy change from development to production.

This is not a narrow tooling role. The best person for this job will be comfortable diagnosing messy distributed systems, reading developer pain signals from Slack and metrics, building reliable automation, negotiating ownership across teams, and making tradeoffs between velocity and production safety. You should enjoy treating engineers as users and turning confusing workflow failures into clear, measured  this role, you will:
• Reduce local development startup and iteration latency for ChatGPT engineers
• Improve Bazel and build performance for local machines, devboxes, and CI, including cache effectiveness, reproducibility, disk usage, remote cache behavior, and observability into in validations.
• Improve CI reliability and merge throughput by reducing unrelated failures, tail latency, flaky or mis-owned tests, quarantine friction, and repeated manual reruns.
• Build agents that help PRs make forward progress: rebasing, conflict resolution, CI triage, safe reruns, owner routing, and clear identification of external blockers.
• Make deploy pipelines more self-healing, especially…