Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
Preferred qualifications:- 8 years of experience leading large-scale engineering projects, preferably
across multiple geographies and time zones. - Understanding of safety, alignment and other alignment related topics in ML.
- Understanding of ML/AI principles and their distinctions from traditional
software development. - Demonstrated success in changing program execution and deliveries.
About the jobGoogle's projects, like our users, span the globe and require managers to keep the big picture in focus while being able to dive into the unique engineering challenges we face daily. As a Technical Program Manager at Google, you lead complex, multi-disciplinary engineering projects using your engineering expertise. You plan requirements with internal customers and usher projects through the entire project lifecycle. This includes managing project schedules, identifying risks and clearly communicating them to project stakeholders. You're equally at home explaining your team's analyses and recommendations to executives as you are discussing the technical trade-offs in product development with engineers.
Using your extensive technical and leadership expertise, you manage projects of various size and scope, identifying future opportunities, improving processes and driving the technical directions of your programs.
In this role, you will own the operational strategy and execution of Google's commitments to safe, responsible frontier AI development. You will lead highly technical, cross-functional initiatives that bridge AI research with enterprise-wide product deployment. This role requires an agile leader who can navigate the complexities of nascent risk vectors, manage highly visible executive stakeholders, and build operational structures from the ground up to secure the next generation of foundation models.
US: $256000 - $279000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Drive end-to-end program management and evolution of Google's Frontier Safety Framework, balancing innovation with risk governance.
- Scale and implement unified safety gates across Google DeepMind, Research, and product pipelines for frontier model training and deployment while acting as the central interface for leadership updates on model risk posture, and collaborate with external policy, academic, and industry partners to align on global safety standards.
- Coordinate "early warning evaluations" to monitor Critical Capability Levels across core domains (autonomy, cyber, biosecurity, etc).
- Manage rapid mitigation plans for model CCL breaches, coordinating weight exfiltration security and misuse-limiting deployment protocols.
- Serve as the central liaison for leadership updates on model risks, collaborating with external policy, academic, and industry partners on global safety standards.
