Technical Program Manager III, Generative AI, Google Drive

Technical Program Manager III, Generative AI, Google Drive corporate_fare Google place Boulder, CO, USA ; New York, NY, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. info_outline X The application window will be open until at least April 13, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to your preferred working location from the following: Boulder, CO, USA; New York, NY, USA .

Minimum qualifications:

Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management. Experience with software development program management. Experience with Generative AI Models.

Preferred qualifications:

5 years of experience managing cross-functional or cross-team projects. 5 years of experience as a technical program manager. Experience in launching AI/ML features. Ability to define projects, execute within timelines, and with multiple stakeholders, and to deliver projects on time and on budget. Excellent investigative and quantitative skills. About the job Google'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. As a Technical Program Manager, you will possess exceptional problem-solving skills to lead the charge in delivering Drive's Generative AI products to enterprise and consumers. You will guide the organizational complexities with ease. You will navigate the ever-changing landscape of Generative AI, which requires frequent planning and product roadmap iterations. The US base salary range for this full-time position is $163,000-$237,000 + 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 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 . Responsibilities Drive the end-to-end life-cycle of Google Drive GenAI projects by gathering technical requirements, assessing risks, and managing milestones. Prioritize features alongside product and engineering teams, leveraging a deep understanding of algorithms and GenAI strategy to lead technical discussions and pseudo-coding initiatives. Partner with engineering and product management to define drive-specific requirements, dependencies, and resource schedules. Identify technical bottlenecks, implement risk mitigations, and resolve complex issues to ensure the successful delivery of high-demand Google Drive directives. Exercise independent judgment to develop program recommendations that translate into actionable plans. Implement process improvements by identifying, developing, and implementing process improvements to help the team scale. Demonstrate technical knowledge and thought leadership in algorithms and GenAI strategy to enhance project efficiency and distill complex technical concepts into actionable steps for engineers and leadership.