Senior Technical Program Manager, Privacy, Google Research
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- 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
Minimum qualifications:
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience as a technical program manager managing technical projects.
- Experience presenting to, or influencing technical stakeholders or executive leaders.
Preferred qualifications:
- 8 years of experience managing cross-functional or cross-team projects.
- Ability to deal with ambiguity and work independently across multiple functions and product areas to drive alignment and deliverables.
- Ability to communicate investigative findings and strategies to technical staff, executive leadership, legal counsel, and internal and external clients.
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.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.
US: $192000 - $278000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive engineering convergence across technical decision spaces, including data preparation, fine-tuning, sampling, and evaluation pipelines for differentially private synthetic data and privacy-preserving ML.
- Own customer engagement strategy including customer intake, office hours, bi-weekly engagement reviews, and strategic cross-product area integrations. Identify systemic gaps between research platforms and product use cases to scale bespoke engagements into repeatable, self-serve workflows across Google.
- Identify technical and operational barriers to adopting privacy tooling (data preparation bottlenecks) and build or coordinate AI-enabled prototypes and workflows to narrow the decision space and guide engineering investments.
- Lead disciplined portfolio rhythms including weekly infrastructure syncs, bi-weekly customer engagement forums, monthly technical domain reviews, and 6-week planning cycles.
- Author clear, outcome-focused upward leadership communications, quarterly OKR plans and scoring rationales, customer impact stories, and executive review materials for Research VPs, Directors, and partner product area leaders.
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