US: $281000 - $391000 (USD) + 30% bonus target + equity + benefits
Learn more about benefits at Google.
Develop and execute on the product outlook for landing recursive self-improvement at Google-scale.
Serve as a high-bandwidth partner for Engineering, Code AI teams and DeepMind research teams to identify critical gaps in core intelligence pieces (e.g., LLM, Harness and adjacent capabilities (memory, context engineering, recursive self-improvement loops)), activating and successfully executing on research and development work to improve LLMs.
Translate frontier capabilities into high-value products that professionals love and set up feedback flywheel to and extract and upstream rich expert signal to GDM.
Influence and inspire an organization of AI-native product builders by maintaining focus on the fast pace of experimentation/iteration and identifying the biggest blockers to getting to AGI.
Partner with Engineering and GDM partners to land research breakthroughs and value breakthroughs at Google-scale, through first-principles thinking.
Minimum qualifications
Bachelor's degree in Computer Science or equivalent practical experience.
15 years of product management experience at a technology-driven company, including experience driving zero-to-one products from concept to adoption.
Experience leading and translating AI research into production-grade enterprise GenAI products/agents.
Preferred qualifications
Experience changing established, high-scale products with large installed bases while introducing disruptive new ideas, such as moving from a manually updated tool to an ambient, agent-native system.
Experience building platforms and extensibility models (e.g., APIs, event hooks, ecosystems) that let other teams build on top of your product.
Experience shipping products powered by LLMs or AI agents.
Experience experimenting and landing high-value GenAI products, including concepts such as hill-climbing for quality, fine-tuning/SFT, and agentic systems.
Established presence and thought-leadership in the AI/ML community, demonstrated through landed value by high-impact research or high-value Applied AI products/agents.
Bachelor's degree in Computer Science or equivalent practical experience.
15 years of product management experience at a technology-driven company, including experience driving zero-to-one products from concept to adoption.
Experience leading and translating AI research into production-grade enterprise GenAI products/agents.
