Job description
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.
Qualifications
Job responsibilities
- Serve as a high-level individual contributor and thought leader, partnering with App Ads engineering and product leads to facilitate strategic, data-driven decision-making and facilitate cross-functional knowledge sharing.
- Conduct sophisticated quantitative analysis of performance metrics and market dynamics to drive business outcomes and long term product strategy that align with KPIs.
- Lead the development of advanced experimentation and measurement frameworks to design business-critical tests that deepen understanding of the ads ecosystem and refine product roadmaps.
- Design comprehensive data tracking plans and infrastructure for new feature launches, performing deep dives into session-level trends to prioritize engineering resources and identify growth opportunities.
- Build centralized business metric hubs to monitor key performance drivers, providing early intelligence on competitive risks, market opportunities, and the overall health of the App Ads business.
Minimum qualifications
- Bachelor's degree in a technical field, or equivalent practical experience.
- 8 years of experience in program management.
- Experience with the software development life cycle and managing engineering programs.
- Experience with designing and executing A/B testing, incrementality testing, or advanced measurement frameworks and statistical modeling.
Preferred qualifications
- Experience leading large-scale, complex programs to deliver innovative and high-impact solutions.
- Experience in software programming or with scripting languages (R, SQL, Python, etc.).
- Experience applying advanced statistical modeling and quantitative methods to drive data-informed decision-making.
- Experience translating business challenges into structured analysis.
- Experience with the digital advertising ecosystem.
- Strong stakeholder management and communication skills.
