Senior Staff TPM — AI Safety & Privacy, Impact Leader

Google; New York (NY); On-site; USD 300,000 - 333,000; Full time

Job summary

Google DeepMind is seeking a Senior Staff Technical Program Manager for Safety and Privacy to lead cross-functional execution and co-design safety mitigations with modeling teams, ensuring responsible-by-design features from base model to App UI.

The role requires deep technical understanding, regulatory awareness, and empathetic leadership to unify safety, privacy, and security across a multi-modal monitoring flywheel for a scalable AI product.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.

Responsibilities

• Lead the execution of a high-velocity virtual team to co-design safety mitigations directly with modeling teams, ensuring all features are responsible-by-design from the base model harness to the final App UI.
• Translate ambiguous, open-ended business priorities into structured and executable programs. Proactively identify and mitigate risks, implementing solutions to keep projects on velocity.
• Mechanize critical parts of the business to generate predictable outputs. Guide critical programs, driving progress from conception to delivery.
• Forge close partnerships with Product Manager, Engineering, Legal, Safety, Privacy, and other cross-functional leads on approach. Navigate and resolve complex dependencies across workstreams, functions, and organizations.
• Deliver clear, consistent updates on progress, risks, and plans to executive leadership. Guide cross-functional teams in identifying, prioritizing, and tracking tasks to meet key deadlines. Excel at managing multiple, time-sensitive projects concurrently.

Education

Bachelor's degree in a technical field or equivalent practical experience

Job description

Google DeepMind is seeking a Senior Staff Technical Program Manager for Safety and Privacy to lead cross-functional execution and co-design safety mitigations with modeling teams, ensuring responsible-by-design features from base model to App UI.

The role requires deep technical understanding, regulatory awareness, and empathetic leadership to unify safety, privacy, and security across a multi-modal monitoring flywheel for a scalable AI product.