Related skills
ci/cd build systems cuda gpu ai tools📋 Description
- Understand internal customers across Research, Inference, Infra, and Product.
- Define and iterate the developer experience model and tooling primitives.
- Partner with engineers to design scalable build, CI, and test infra as headcount grows.
- Drive strategy for developer acceleration, including AI-assisted code review and governance.
- Own the velocity-reliability-security-cost trade-off framework and communicate with leadership.
- Establish productivity metrics for AI-native engineering and human-agent collaboration.
🎯 Requirements
- 7+ years of product management with developer tooling, build systems, CI/CD, or platform infra.
- Experience taking technical platform products from infancy to scale serving internal or external engineering customers.
- Balance velocity, reliability, and security; communicate trade-offs clearly.
- Internalize complex systems (builds, monorepos, CI pipelines, accelerator toolchains) into product vision.
- Fluent across functions: build-graph optimization, velocity economics, and AI governance.
- Strong thesis on how AI will reshape software development and tooling.
🎁 Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Lovely SF office space for collaboration.
- Visa sponsorship available in some cases.
🛃 Visa sponsorship
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