Google DeepMind · 2 days ago
Product Manager, Growth & Discovery Platform, Gemini App
Google DeepMind is a team of scientists and engineers dedicated to advancing artificial intelligence for public benefit. The role involves acting as a growth and discovery architect, responsible for designing systems that drive user growth, monetization, and strategic initiatives for the Gemini App.
Artificial Intelligence (AI)Business DevelopmentFoundational AIMachine Learning
Responsibilities
Lead the Vision for Growth & Discovery PlatformDefine and evolve the long-term architecture for shared Growth, Discovery, and Analytics platforms — ensuring velocity, reuse, and scalability across Gemini’s AI ecosystem
Scale the Experimentation System Build and optimize the high-velocity A/B and multivariate testing platform, enabling teams to run and analyze experiments rapidly, safely, and at scale
Develop the personalization backbone that surfaces the right Gemini modes, prompts, and workflows to the right user at the right moment — driving utility, retention, and subscription conversion
Build AI-Powered Content Systems: Launch creative intelligence systems that generate, adapt, and personalize content automatically across surfaces (Chat, App, Web, Notifications, Email)
Develop the Notifications & Messaging Engine: Design a multi-channel communications layer that orchestrates timely, contextual, and high-value engagement moments — balancing UX quality with measurable impact
Establish the Data & Signals Foundation. Create the unified Signals Platform that ingests behavioral, contextual, and performance data to train models, drive personalization, and power discovery relevance
Implement the Evals Platform for Growth. Automate model and system evaluation loops to ensure consistent quality, reliability, and lift measurement for every product or model change impacting user experience
Drive Operational Excellence through Automation. Systematically remove manual dependencies by building growth tools, APIs, and reusable triggers that accelerate experimentation and decision-making
Define Cross-Functional Metrics & Measurement Frameworks: Partner with Data Science and Finance to build a full-funnel growth model — linking acquisition, activation, retention, and monetization into a single incremental impact view
Act as the Technical Bridge Across Functions: Serve as the connective tissue between Product, Marketing, Engineering, and AI research — translating strategic growth objectives into scalable systems and measurable business outcomes
Qualification
Required
7+ years of Product Management experience delivering highly successful and innovative products from ideation through launch, implementation and expansion
Familiarity with systems thinking, analytics and experiment design, and a solid understanding of software development processes and concepts
Measurable growth experience and a track record of delivering highly successful and innovative 0-to-1 products
Entrepreneurial experience building and leading businesses, including ownership and optimization of business performance metrics
Experience managing and aligning stakeholders on a global scale
Extensive experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes
Customer obsession with a knack for taking on complex product challenges and finding elegant solutions that are delightfully simple for users
Startup / founder mentality with a bias toward action, great collaboration skills, and a focus on clarity and delivery
A high bar across the board with a desire to grow and learn
Preferred
A true passion for Google DeepMind's mission, products, and the AI field
Consumer growth experience with a track record of delivering highly successful and innovative products
Experience building and leading scaled businesses, including ownership and optimization of business performance metrics
Experience leading geographically distributed cross-functional teams in an energetic, high octane environment
Ph.D., M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field
Benefits
Bonus
Equity
Benefits
Company
Google DeepMind
Google DeepMind aims to research and build safe artificial intelligence system to solve intelligence and advance science and humanity. It is a sub-organization of Google.
Funding
Current Stage
Late StageTotal Funding
unknown2014-01-26Acquired
2011-02-01Series A
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