Product Development: Design AI researcher/enterprise products; translate requirements.
End-to-End Product Ownership: Own roadmap; drive development, testing, launches.
Stakeholder Engagement: Understand needs; drive improvements for satisfaction.
Cross-Functional Execution: Align Research, Eng, DevOps, SRE, GTM.
Scale AI infrastructure: optimize GPU resources; ensure reliability and performance.

🎯 Requirements

ML product or infra experience: 5+ yrs building AI/ML platforms.
Large-scale deployments: cloud, decentralized infra, distributed systems.
Cloud familiarity: AWS, Google Cloud, or Azure.
Technical Foundation: Bachelor's/Master's in ML, CS, or Engineering.
Analytical/problem-solving; mitigate tech risks.
Experience with AI tools to accelerate analytics (e.g., ClaudeCode).

🎁 Benefits

Health insurance and other competitive benefits.
Startup equity included.
Hybrid work arrangement in the Bay Area.

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