Group Product Manager, Flow Growth and Monetization Lead, Google Labs

MINIMUM QUALIFICATIONS

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in product management or related technical role.
• 5 years of experience taking technical products from conception to launch

(e.g., ideation to execution, end-to-end, 0 to 1, etc.).

• Experience integrating generative AI tools or LLM interfaces into workflows.
• Experience partnering with Engineering, Data Science, and Design teams to

execute and measure growth experiments.

PREFERRED QUALIFICATIONS

• 10 years of experience in product management, strategy, or marketing, leading

consumer growth, and engagement.

• Experience with SQL for analyzing complex datasets, and with generative AI,

multimodal media pipelines, and GPU/TPU compute constraints.

• Experience designing, launching, or optimizing subscription tiers,

freemium-to-premium pricing models, and consumption-based credit systems.

• Experience executing cross-platform strategies and presenting roadmaps,

resource allocations, and business reviews to senior executives.

• Understanding of the creator economy, viral distribution loops, and

trust/safety/copyright policies for user-generated content.

ABOUT THE JOB

• At Google, we put our users first. The world is always changing, so we need
• Product Managers who are continuously adapting and excited to work on products
• that affect millions of people every day.

• In this role, you will work cross-functionally to guide products from conception
• to launch by connecting the technical and business worlds. You can break down
• complex problems into steps that drive product development.

• One of the many reasons Google consistently brings innovative, world-changing
• products to market is because of the collaborative work we do in Product
• Management. Our team works closely with creative engineers, designers,
• marketers, etc. to help design and develop technologies that improve access to
• the world's information. We're responsible for guiding products throughout the
• execution cycle, focusing specifically on analyzing, positioning, packaging,
• promoting, and tailoring our solutions to our users.

• Flow has rapidly grown to tens of millions of users, has grown into a product
• line including Flow and Flow Music, and is continuing to scale as a business.
• We're seeking a Product Manager for Flow Growth and Monetization to lead the
• cross-functional product pod responsible for user acquisition efficiency,
• first-mile activation, ongoing habituation, and user progress from free tier to
• paid.

• In this role, you will be operating at the intersection of core Product,
• Engineering, Data Science, Marketing and platform partners (such as Google One),
• you will define and execute the product-led growth roadmap. You will turn
• top-of-funnel traffic into creators and paid subscribers, optimize the user
• journey while navigating AI unit economics, compute availability, and
• consumption credit economies.

• Individual pay is determined by factors including job-related skills,
• experience, and relevant education or training.

US: $240000 - $333000 (USD) + 25% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES

• Partner with Marketing/Engineering teams to optimize landing surfaces for

• search/generative AI, maximizing top-of-funnel traffic, and integrate native
• creator workflow distribution.

• Optimize first-run onboarding to reduce drop-off, guiding new users to their

"aha!" moment and building engagement loops for long-term keeping.

• Build product-led viral loops (sharing, remixing, galleries) and collaborate

• with the Marketing team on contextual in-app, push, and email re-engagement
• flows.

• Partner with G1 to execute consumer/prosumer pricing strategies, optimizing

• checkout flows, tier packaging, credit packs, and free-to-paid conversion
• loops.

• Lead the growth pod in maintaining an excellent hypothesis-driven

• experimentation backlog, balancing quick tactical optimizations with
• high-impact architectural bets.