Job Description
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.
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.
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.
