Product Manager II, Generative AI & Interactive Experiences

Google; Mountain View (CA); On-site; USD 163,000 - 236,000; Full time

Job summary

Google Labs in Mountain View, CA seeks a Product Manager II for Project Genie to guide next‑generation interactive experiences from concept to launch, bridging engineering and business. You will own roadmaps and collaborate with UX/UXR and engineering to shape first‑party showcases.

In a fast‑moving, high‑ambiguity environment, you will drive product-market fit, prototype new mechanics, and partner with DeepMind on model quality and product features.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or related technical role.
• 2 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1).
• Experience with Generative Media models (video, image, or world models) and Generative AI technologies.

Responsibilities

• Own the product roadmap for turning emerging model primitives into retentive consumer user journeys.
• Partner with UX, UXR, and Engineering to prototype novel interactive mechanics and define specs for 1P experiences.
• Drive product execution for hero applications across Google product teams and external creators.
• Build and run product-centric evaluation frameworks to benchmark quality, latency, and grounding.
• Collaborate with GDM research teams to align breakthroughs with product features.

Skills

PM experience

End-to-end product development

Generative AI

UX collaboration

Model evaluation frameworks

Generative video/image/world models

Entrepreneurial PM

Education

Bachelor's degree or equivalent experience

Job description

Google Labs in Mountain View, CA seeks a Product Manager II for Project Genie to guide next‑generation interactive experiences from concept to launch, bridging engineering and business. You will own roadmaps and collaborate with UX/UXR and engineering to shape first‑party showcases.

In a fast‑moving, high‑ambiguity environment, you will drive product-market fit, prototype new mechanics, and partner with DeepMind on model quality and product features.