Head of Platform Engineering

• Lead, mentor, and grow a high-impact platform engineering team, setting technical standards and fostering strong engineering culture.
• Partner closely with ML research, product leaders, and computational chemist teams to ensure the platform meets real user needs and evolves with the science.
• Own the end-to-end platform and infrastructure strategy supporting data, training, and large-scale inference.
• Design, build, and operate systems for large-scale AI workloads, with strong judgment around build vs. buy decisions.

This role enables the next generation of AI-driven drug discovery, building reliable platforms for training and deploying state-of-the-art AI models that are genuinely good for humanity and aim to create real breakthroughs in medicine.

• 8+ years experience leading teams of directs and indirects in fast-moving environments, with a startup mindset.
• Experience designing and operating infrastructure for AI training and inference at scale.
• Strong systems thinking and ability to reason about tradeoffs across performance, cost, reliability, and development velocity.
• Value engineering craftsmanship, ability to code, and sustained technical curiosity.

No specific benefits, compensation, or perks mentioned in the job description.