Principal Product Manager, CodeAI

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. As the Principal Product Manager for CodeAI, you will partner deeply with Google DeepMind (GDM) and the Director, Engineering CodeAI to lead the technical strategy for bringing frontier AI capabilities to enterprise scale Product Development Workflows. Your mission is to frame and lead research and Applied AI efforts to make Gemini better for Google-scale product development workflows. To bridge the gap between model breakthroughs and production-grade development agents and solutions that drive user delight and accelerate innovation velocity for Google product areas. You will be a part of a high-velocity organization responsible for coding agent research and technologies (with active partnerships with GDM) and evaluation, validation systems to ensure recursive self improvement is landed for Model and Product building at Google. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $281000 - $391000 (USD) + 30% bonus target + equity + benefitsLearn more about benefits at Google.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Jose, CA, USA; New York, NY, USA.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.