Engineering Manager, ML Infrastructure, London

Requirements

• Experience managing software engineers, including hiring, coaching, feedback, and performance management.
• A strong software engineering background in systems, backend, distributed systems, or platform work.
• Demonstrated ownership of delivery on an infrastructure or platform team.
• An agile mindset and a track record of operating effectively in ambiguity.
• Excellent written communication, and effective working habits across geographies and time zones.
• A genuine security and privacy mindset for systems handling sensitive user content.

Nice to Haves

• Experience with LLM inference or model serving at scale.
• Experience with GPU or custom-accelerator performance work.
• Experience leading teams that own a platform other engineers build on.
• Familiarity with production operations for latency-sensitive services.
• Background in developer experience and build or test infrastructure.
• Working knowledge of Swift, systems-language experience, and Python tooling experience.
• Experience with privacy-preserving, security-sensitive, or attested systems.
• Experience growing a team from a small senior core, and developing engineers into technical leadership.

What You'll Be Doing

• Hire, grow, and lead a team of engineers.
• Own delivery against a roadmap you help set.
• Lead design reviews and make architectural calls.
• Run a healthy on-call and incident practice.
• Partner across time zones with various teams.

Perks and Benefits

• Private Cloud Compute system.
• Rapidly evolving generative-AI landscape.
• Work with teams in London, Cupertino, and Seattle.
• Opportunity to define roadmap and technical direction.