The opportunity
Our mission is to automate coding. The first step in our journey is to build the best tool for professional programmers, using a combination of inventive research, design, and engineering.
What you'll do
Own COGs and R&D attribution programs. Stand up cost attribution across: inference, compute, and infrastructure workloads. Partner with Finance and Data to connect spend to products, features, and business metrics. Make cost data actionable for engineering and executive decision-making.
Drive GPU and infrastructure resource allocation. Build frameworks for: capacity planning and allocation across 1P models, 3P inference, and experimentation. Run recurring reviews with ML and Infra leadership. Translate business priorities into concrete allocation plans.
Manage technical programs with infrastructure teams. Scope and drive programs: in cost optimization, capacity planning, reliability, and migration. Own the operating rhythm for each program alongside a designated sponsor: track progress, escalate blockers, ensure outcomes.
Partner strategically with engineering leaders. Serve as a thought partner on: resource tradeoffs, investment prioritization, and operational improvements across ML, Infrastructure, and Finance. Synthesize complex technical and financial information into clear recommendations.
Roll up your sleeves. Dig into dashboards, data, and systems. Write the doc,: build the model, run the analysis, and get stuff done.
What they're looking for
- + years in Technical Program Management or similar roles in highly technical environments.
- Experience with cloud infrastructure costs, GPU/compute capacity planning, or COGs/R&D attribution .
- Strong analytical skills; comfortable with cost data, utilization metrics, and financial models.
- Proven ability to drive cross-functional programs across Engineering, ML, and: Finance without direct authority.
- Bias toward action and outcomes over process and ceremony.
