Director, Gemini Growth Marketing

Google•Mountain View, CA

3d•$264,000 - $366,000

About The Position

At Google, we are conducting AI research that advances the state-of-the-art, applying it to products and new domains, and developing tools to ensure that everyone can access AI. Google’s mission is to organize the world’s information and make it universally accessible and useful, and AI is helping us do that in exciting new ways. As the Director of Growth Marketing for the Gemini App, you will define and lead the global growth strategy and organization for Google's AI assistant across mobile, web, and ecosystem integrations. You will build and lead a unified growth engine spanning user acquisition, activation, and business generation across both outbound channels and in-product experiences. Partnering at the executive level with Product, Engineering, Design, Data Science, and Regional Marketing, you will connect full-funnel marketing with product-led growth mechanics to turn first-time users into habitual daily users and subscribers. You will lead and scale a multidisciplinary organization of growth leaders, product growth marketers, performance specialists, and marketing technologists. Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $264000 - $366000 (USD) + 30% bonus target + equity + benefits Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].

Requirements

15 years of experience in growth marketing, performance marketing, Product-Led Growth (PLG), or consumer technology marketing, driving measurable acquisition, engagement, and revenue outcomes.
10 years of experience in senior leadership roles building and managing multi-layered growth, performance, and lifecycle marketing organizations globally.
Experience partnering with VP and C-level leadership across Product, Engineering, Design, Data Science, Analytics, and regional marketing.
Experience leading multidisciplinary teams through growth and organizational change, including managing managers and senior individual contributors.

Nice To Haves

Experience with the evolving generative AI landscape, enabling the foresight to guide product innovation, anticipate market shifts, and foster a culture of continuous AI experimentation and adoption.
Track record of scaling flagship consumer technology or AI products to hundreds of millions or billions of active users through full-funnel acquisition, product-led growth, and lifecycle marketing.
Strong analytical accuracy in cohort retention, funnel diagnostics, A/B experimentation, and causal incrementality measurement across global markets.
Deep expertise across paid and organic acquisition, CRM and in-product lifecycle mechanics, marketing technology platforms, and consumer subscription or freemium monetization.

Responsibilities

Define and lead the multi-year global growth marketing vision and strategy for Gemini App across user acquisition, activation, engagement, and business generation.
Own end-to-end growth accounting and funnel performance, diagnosing cohort retention, activation bottlenecks, habit formation, and user resurrection to prioritize the highest-leverage growth investments.
Lead global performance and lifecycle marketing across channels, building shared growth platforms and tooling that scale across global and regional teams.
Partner with Product Management, Engineering, Design, and Product Marketing to ideate, test, and ship in-product growth experiences (including onboarding, zero-state discovery, personalization, and recurring workflows) and scale proven optimizations across surfaces and markets.
Establish rigorous causal incrementality frameworks with Analytics and Data Science to measure business lift, allocate resources efficiently, and make disciplined decisions on when to scale or sunset programs while upholding user trust and Responsible AI standards.