Flow Growth & Monetization Product Lead

Google LLC; New York (NY); On-site; USD 240,000 - 333,000; Full time

Benefits offered by this job

Annual bonus target

Equity

Benefits

Job summary

Google is seeking a Group Product Manager, Flow Growth and Monetization Lead for Google Labs in New York. You will guide products from conception to launch, collaborating with Engineering, Data Science, Marketing, and design teams to drive growth experiments and monetization strategies.

You will lead a cross-functional pod focused on user acquisition efficiency, activation, habituation, and moving users from free to paid, while navigating AI unit economics and credit economies.

Qualifications

• Bachelor's degree or equivalent practical experience.

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.

Education

Bachelor's degree or equivalent practical experience

Job description

Google is seeking a Group Product Manager, Flow Growth and Monetization Lead for Google Labs in New York. You will guide products from conception to launch, collaborating with Engineering, Data Science, Marketing, and design teams to drive growth experiments and monetization strategies.

You will lead a cross-functional pod focused on user acquisition efficiency, activation, habituation, and moving users from free to paid, while navigating AI unit economics and credit economies.