Product Manager, Growth & Discovery Platform, Gemini App

DeepMind • Los Angeles, California, US; Mountain View, California, US; New York City, New York, US; San Francisco, California, US • 3h ago

Snapshot

The Growth & Discovery Team is the engine responsible for driving massive user and revenue expansion for Gemini across all audiences—consumers, businesses, and developers. Operating across the full user lifecycle, the team executes a comprehensive strategy that spans Acquisition (getting people in), Activation (getting them to their "aha" moment quickly), Retention (making Gemini indispensable through feature discovery and valuable use cases), and Expansion/Monetization (converting engaged users into subscribers). We accomplish this through a combination of in-product funnel optimization, global performance marketing, disciplined experimentation powered by an advanced platform, and the exploration of novel growth loops and distribution channels like Viral Sharing and Emerging Markets, ultimately building the essential systems and infrastructure to ensure scalable, efficient, and AI-powered growth for the entire Gemini ecosystem.

About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The Role

In this role, you will act as a full-funnel growth and discovery architect, responsible for designing and scaling the core systems that power Gemini’s growth, discovery and revenue initiatives for user growth, monetization and strategic user segments.. This highly strategic and technical role sits at the intersection of Product, Data Science, and Marketing — driving how Gemini personalizes discovery, measures impact, and grows intelligently through AI. The leader will own the 0→1 buildout of dynamic content, experimentation, notifications, and signals infrastructure, transforming how the Discovery and Growth organizations identify value, measure outcomes, and accelerate adoption across the Gemini ecosystem.

Key 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

About You

In order to set you up for success as a Growth & Discovery Product Manager within our Gemini App team at DeepMind, we look for the following skills and experience:

7+ years of Product Management experience delivering highly successful and innovative products from ideation through launch, implementation and expansion
You should be familiar with systems thinking, analytics and experiment design, and have 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
Leadership. Extensive experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes
Customer obsession. You have a knack for taking on complex product challenges and finding elegant solutions that are delightfully simple for our users
Startup / founder mentality. You are biased toward action, a great collaborator, a master disambiguator/simplifier, and constantly pushing toward clarity and delivery. You never hesitate to roll up your sleeves and tackle something hands-on
A high bar across the board. From your own contributions to the people you work with, to the products you work on, you have a never-ending desire to grow and learn

In addition, the following would be an advantage:

A true passion for Google DeepMind's mission, our products, and the AI field
Extensive experience setting and delivering on a strategy you crafted, where you were accountable for the outcomes
You have a knack for taking on complex product challenges and finding elegant solutions that are delightfully simple for our users
You are biased toward action, a great collaborator, a master disambiguator/simplifier, and constantly pushing toward clarity and delivery. You never hesitate to roll up your sleeves and tackle something hands-on
From your own contributions to the people you work with, to the products you work on, you have a never-ending desire to grow and learn.
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

The US base salary range for this full-time position is between $227,000 USD - $320,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy

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