- 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
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree in a a technical field, or equivalent practical experience.
- 10 years of experience in program management.
- 10 years of experience in product, engineering, operations, or technical consulting roles.
Preferred qualifications:
- 10 years of experience managing complex cross-functional or cross-team projects.
- 7 years of experience in leadership roles with/without direct reports.
- Experience in building AI features or AI Platforms.
- Experience in cloud computing emerging technologies or a related technical field.
- Experience leading strategic planning frameworks for complex program portfolios, including direct influence over resourcing decisions and planning stakeholders.
About the job
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.
In this role, you will play a pivotal role in shaping the AI user experience, working across a range of components in the stack, including Frontend, Serving, Integrations, and more. Your primary focus will be managing a team of Technical Program Manager (T/PgMs) in the Workspace Intelligence and Workspace Search teams to build an AI agent driven ecosystems to empower internal 1P and 2Ps to implement faster and higher quality AI results, partnering closely with teams across Workspace (WS) Engineering, Program Manager (PM), and UX to drive improvements across all Workspace apps.
You will collaborate with teams across Google, including DeepMind and Gemini. If you have a strong technical background and thrive in fast-paced, collaborative environments, this is your chance to make a significant impact on the future of AI.
AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $240000 - $334000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Establish a reliable and visible cadence for portfolio reviews, decision making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide. e.g., effective (re)deployment of machine and people resources leading to efficiency and utilization gains.
- Drive measurable program performance gains correlated to execution velocity. Establish governance over prioritization decisions to ensure alignment with key performance indicators.
- Lead strategic planning framework for a complex program portfolio including direct influence over resourcing decisions, planning cadence, and planning stakeholders.
- Drive mission-critical success for GenAI programs and ensure the execution of a rich portfolio including AI, 1p/2p/3p programs, and infrastructure projects.
