Company: Google
Location: London
Job Description:
Overview
Lead end-to-end engineering delivery for CBRNE evaluation pipelines, mitigations, and red-teaming across the model lifecycle. Collaborate with portfolio leads, SMEs, and PMs to convert scientific milestones into technical roadmaps, managing risks and compute allocation. Build cross-functional partnerships to align on objectives and remove blockers, using agile practices and OKRs. Translate complex safety updates into actionable insights for executives, shaping strategic direction in frontier AI safety.
Responsibilities
- Lead cross-functional engineering delivery for evaluation pipelines and safety frameworks
- Translate scientific safety requirements into measurable engineering goals
- Manage project plans, schedules, risks, and resource allocation across disciplines
- Facilitate collaboration between modeling, infrastructure, evaluation, and release teams
- Implement OKRs, stand-ups, and agile processes to optimize workflows
- Communicate complex technical updates to executives and stakeholders
Key requirements
- Bachelor’s degree in Computer Science, Engineering, Biology, Chemistry, Physics, or related field or equivalent experience
- 7 years of experience in technical program management, software engineering, or research engineering
- 3 years of experience partnering with research or engineering leads on AI/ML programs, evaluation suites, or safety frameworks
- cross-functional collaboration
- stakeholder management
- clear communication
- AI/ML program delivery
- evaluation suites
- safety frameworks
…
Posted: October 21st, 2026