Deepmind Logo

Deepmind

Product Manager, Growth & Discovery Platform, Gemini App

Reposted 11 Days Ago
Easy Apply
In-Office
2 Locations
227K-320K Annually
Senior level
Easy Apply
In-Office
2 Locations
227K-320K Annually
Senior level
The role involves driving user growth and revenue for Gemini through product management, AI integration, experimentation, and cross-functional collaboration.
The summary above was generated by AI
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


  

Top Skills

AI
Analytics
Data Science
Experimentation

Deepmind Mountain View, California, USA Office

Ampitheatre Pkwy, Mountain View, CA, United States, 94034

Similar Jobs

9 Minutes Ago
Remote or Hybrid
United States
67K-84K Annually
Mid level
67K-84K Annually
Mid level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
As a Senior Community Associate, you will engage with players on Discord, support community initiatives, create campaigns, monitor trends, and ensure player satisfaction.
Top Skills: Discord
15 Minutes Ago
Hybrid
20-20 Hourly
Internship
20-20 Hourly
Internship
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Join the New York markets team to report on financial markets and economic trends, write articles using Morningstar research and data, collaborate with data journalists and editors, create data-driven charts and tables, and learn to use Morningstar's financial database.
Top Skills: ExcelMicrosoft WordMorningstar Database
16 Minutes Ago
Hybrid
133K-240K Annually
Senior level
133K-240K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
The Senior Director will oversee AI integration in Credit to enhance workflows, ensure compliance, and manage risk while leading a team within regulatory guidelines.
Top Skills: Artificial IntelligenceComplianceData ManagementRisk Management

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account