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Director of Engineering for CodeAI

GoogleSan Jose, CA, USADirector+

Minimum qualifications:

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
  • 15 years of professional experience in software engineering
  • 10 years of experience in senior leadership roles leading frontier research or applied AI engineering teams
  • 3 years of experience experimenting and landing GenAI products
  • Experience with concepts such as hill-climbing for quality, fine-tuning/SFT, and agentic systems
  • Experience leading and translating frontier AI research into production-grade enterprise GenAI products/agents

Preferred qualifications:

  • Master's degree of PhD in Machine Learning, Computer Science, or a related discipline
  • Demonstrated impact through leading high-velocity, high-calibre, mission-driven teams, especially those that interface with a frontier research organization
  • 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

About the job

As the Director of Engineering for CodeAI, you will partner deeply with DeepMind (GDM) 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, and 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 lead a high-velocity organization responsible for cutting-edge 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 successful candidate will develop and execute on the strategic vision for landing recursive self-improvement at Google scale.

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: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Serve as a high-bandwidth partner for research teams in DeepMind in identifying critical gaps in core intelligence pieces - LLM, harness and adjacent capabilities (memory, context engineering, recursive self-improvement loops), activating and successfully executing on research and development work to improve LLMs+ adjacent pieces for Google scale critical user journeys.
  • Translate frontier capabilities into high-value product capabilities that professionals love and set up feedback flywheel to extract and upstream rich expert signal to GDM (e.g., high-quality, high-complexity datasets that can unlock model hill-climbing for higher level of autonomy for complex tasks).
  • Build, scale, and inspire an organization of frontier AI-native engineering by maintaining focus on fast pace of experimentation/iteration and identifying the biggest blockers to getting to AGI, partnering with GDM to land research and value breakthroughs at Google scale, through first-principles thinking.

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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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