Product Manager, Growth & Discovery Platform, Gemini App at DeepMind

Los Angeles, California, United States

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Experience in full-funnel growth and discovery architecture for user growth, monetization, and strategic user segments
Ability to operate at the intersection of Product, Data Science, and Marketing
Expertise in designing and scaling core systems for personalization, experimentation, notifications, and signals infrastructure
Technical proficiency in building AI-powered systems, including dynamic content generation, A/B testing platforms, and data foundations
Strong strategic vision for long-term platform architecture ensuring velocity, reuse, and scalability

Responsibilities

Lead the Vision for Growth & Discovery Platform: Define 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

Skills

Product Management

Growth Strategies

Funnel Optimization

A/B Testing

Experimentation Platforms

Data Science

Performance Marketing

User Acquisition

Retention

Monetization

AI Personalization

Notifications Systems

Viral Loops

DeepMind

Develops artificial general intelligence systems

About DeepMind

This company leads in the field of artificial general intelligence (AGI), with notable applications across healthcare, energy management, and biotechnology. Their work in early diagnostic tools for eye diseases, optimizing energy usage in major data centers, and groundbreaking contributions to protein structure prediction underlines their commitment to harnessing AI for diverse practical applications. The company's dedication to pushing the boundaries of AI technology not only propels the industry forward but also creates a dynamic and impactful working environment for its employees.

London, United KingdomHeadquarters

2010Year Founded

$4.9MTotal Funding

ACQUISITIONCompany Stage

AI & Machine Learning, BiotechnologyIndustries

1,001-5,000Employees

Product Manager, Growth & Discovery Platform, Gemini App at DeepMind

Requirements

Responsibilities

Skills

DeepMind

About DeepMind

Benefits

Performance Bonus

Risks

Emerging AI models may challenge DeepMind's current strategies.

Backlash against AI models like Gemini poses reputational risks.

Labeling AI-generated content could increase operational complexity for DeepMind.

Differentiation

DeepMind combines AI, ML, and neuroscience for general-purpose learning algorithms.

DeepMind's AlphaFold model advances protein folding research significantly.

GraphCast by DeepMind offers rapid, accurate ten-day weather forecasts.

Upsides

AI-driven drug discovery is set to grow significantly in 2024.

AlphaCode 2 showcases AI's potential in competitive programming.

DeepMind's AI tools are transforming music creation and meteorology.