As Director, you will manage the complex and cross-functional questions that define the future of Gemini. This isn't about optimizing a single funnel, it’s about understanding the interconnected health of our entire platform. You will be a visionary leader who grows in the space—solving ambiguous problems that don't fit into neat boxes and require a blend of creative intuition and technical aptitude.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
The US base salary range for this full-time position is $307,000-$427,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Develop sophisticated incrementality models to understand the interplay of GeminiApp with other products across the Google ecosystem (including cannibalization and spillover effects).
Qualifications
Minimum qualifications:
- Bachelor’s degree in Data Science, Statistics, Economics, or a similar technical field or equivalent practical experience.
- 15 years of experience as a Data Science leader.
Preferred qualifications:
- PhD or Master's degree in a quantitative field (e.g., Statistics, Economics, Computer Science).
- Experience establishing a data-driven culture by infusing critical measurement and "growth-accounting" into a team.