Minimum qualifications:- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience managing cross-functional technical projects with multiple stakeholders.
- Experience with quality engineering processes for machine learning.
Preferred qualifications:- 8 years of experience managing cross-functional or cross-team projects.
- Experience with abuse fighting or child safety policy and law.
- Experience dealing with sensitive content.
About the jobAs a Technical Program Manager for Google's Child Safety Cross-functional AI, you will be part of a global team that drives solutions for industry-leading responsible AI applications. Your role will sit in the Child Safety Responsible AI testing team, but will be launch agnostic and will be responsible for the end-to-end lifecycle of GenAI safety initiatives focused on preventing child sexual abuse and exploitation. You will work closely with colleagues in teams including DeepMind, Trust and Safety, SafeSearch, Core Engineering and Legal. You will take the lead in standing up new programs and processes, defining metrics and driving cross-company alignments. The aim is to design and develop solutions that will protect Google's products and keep all users, including our most vulnerable users, safe.
The US base salary range for this full-time position is $192,000-$278,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities - Combine a strong understanding of AI systems (including prompt engineering, model training, ML, and associated risks) with direct technical competency, including the ability to manage coding tasks and leverage data-driven analysis to solve complex challenges.
- Apply advanced structured thinking and critical analysis to decompose complex problem spaces, identify emerging safety threats/vulnerabilities, and apply quality engineering mindsets to resolve systemic issues.
- Manage complex stakeholder relationships to drive alignment across product areas. Act as a point of contact for GenAI stakeholders to child safety cross-functional. Synchronize policy updates, engineering cycles, client priorities, and operational capacity.
- Drive the end-to-end lifecycle of new/updated child safety policies from ideation to deployment. Coordinate prioritization, sequencing, and timelines for required implementation, including classifier updates, evaluation set refreshes, and revised client guidance.
