Manager, Technical Program Management, Workspace
About the role
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.
As a Technical Program Manager Lead for Workspace, you will provide leadership to a team of Technical Program Managers (T/PgMs) and strategically direct program management efforts for a large engineering organization exceeding 200 Software Engineers. Your primary focus will be to drive the vision, strategy, and successful execution of Generative AI programs.
Responsibilities
- Establish, scale, and optimize organizational frameworks, templates, and processes to improve execution speed and alignment across the entire organization.
- Lead complex, cross-functional annual planning cycles, milestone tracking, and technical review readiness to ensure long-term roadmap velocity.
- Grow your team’s technical program management skills and expertise, with a focus on driving strategic outcomes through strong portfolio and program management complemented by technical understanding and judgement.
- Drive rigorous tracking mechanisms for organizational health metrics, headcount allocation, and overall portfolio efficiency.
- Synthesize complex technical roadmaps, milestones, and strategic initiatives into clear, high-impact communications and reporting for senior leadership across Workspace and broader Google organizations.
Requirements
- Bachelor's degree in a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 7 years of experience in leadership roles with/without direct reports.
- Experience in building AI features or AI platforms.
- Experience designing organizational processes, business planning cycles, or governance frameworks for engineering organizations.
Preferred qualifications
- 10 years of experience managing cross-functional/team projects.
- 10 years of experience in product, engineering, operations, or technical consulting roles.
- Experience in building AI features or AI platforms at a large scale.
- Experience leading and aligning geographically distributed, product/platform engineering teams operating across highly asynchronous or non-overlapping time zones.
Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Pay
Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $240,000 - $333,000 (USD) + 25% bonus target + equity + benefits