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AI Research & Product Strategy Lead – Handshake AI

AI Research & Product Strategy Lead – Handshake AI

CompanyHandshake
LocationSan Francisco, CA, USA
Salary$200000 – $300000
TypeFull-Time
DegreesPhD
Experience LevelSenior, Expert or higher

Requirements

  • Advanced degree (PhD preferred) or equivalent experience in Machine Learning, Computer Science, or related fields.
  • Hands-on experience with LLMs and proficiency in frameworks like PyTorch, JAX, or TensorFlow.
  • Track record of publishing in top ML venues (ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.) or equivalent real-world research impact.
  • Exceptional communication skills, comfortable presenting complex technical topics to audiences ranging from C-suite to PhD-level researchers.
  • Ability to empathize with customer needs, influence decision-makers, and drive internal alignment on strategic priorities.
  • Proven capacity to define problems, propose solutions, and execute effectively in fast-moving, high-stakes contexts.
  • Strong bias toward action and a willingness to innovate beyond traditional product playbooks.
  • Comfort debugging ML models and iterating on experiments at scale.
  • Familiarity with cloud technology stacks (AWS, GCP, or similar) and ability to handle data workflows or ML pipelines in a production environment.

Responsibilities

  • Serve as Handshake’s primary liaison to leaders at frontier AI labs.
  • Maintain active communication channels with AI researchers and technical buyers.
  • Dig beyond the surface of customer requests to uncover unarticulated needs.
  • Bridge the gap between technical buyers and the product team.
  • Define and prioritize roadmaps addressing tough questions in AI talent.
  • Collaborate with engineering and operations to scope, prototype, and launch solutions that push the boundaries of AI evaluation and deployment.
  • Translate AI research challenges into clear product objectives.
  • Stay current with the AI/ML research landscape and turn cutting-edge ideas into proof-of-concepts.
  • Work with engineering, operations, and business teams to deliver end-to-end solutions, from concept through production.

Preferred Qualifications

  • PhD preferred in Machine Learning, Computer Science, or related fields.