Engineering Director, Autonomous Cloud

Engineering Director, Autonomous Cloud

Share Engineering Director, Autonomous Cloud

corporate_fare Google place Sunnyvale, CA, USA bar_chart DirectorShare Engineering Director, Autonomous Cloud

Minimum qualifications:

• PhD in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.

• 15 years of software engineering experience building and working with large-scale systems in a technology organization.

• 5 years of experience leading frontier-level AI, AI-Engineering, Agentic Engineering, Applied AI solutions and ML-related technologies to solve real-world AI/ML problems in consumer or enterprise applications.

• 5 years of experience as a Software Engineering leader in ML Infrastructure, ML or AI for products, or related fields.

• Experience with technical innovation within cross-functional engineering environments.

• Experience leading engineering teams through organizational and technical transformations.

Preferred qualifications:

• Experience managing complex cross-functional dependencies with research groups and cloud platform teams.

• Experience successfully producing software products and large-scale distributed systems.

• Experience in configuration management tools and automation efforts with technical troubleshooting and performance tuning experience with Enterprise or Data Center Network architecture.

• Expertise in building and scaling autonomous agent frameworks or cloud automation infrastructure at planet scale.

• Expertise building Gen AI, ML products, Agent frameworks, Agent protocols (e.g., MCP, A2A), RAG, Prompt Engineering, Evals, etc.

About the job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The AI space is evolving rapidly with newer and powerful models, agent frameworks, protocols, and security. We are imagining a cloud that configures, optimizes, and secures itself without human intervention. The Autonomous Cloud represents the next generation of computing where the cloud doesn’t just host data and applications but also manages and improves itself in real time.

In this role, you will utilize frontier-level AI expertise and will be responsible for partnering with the Product Lead and Uber Tech Lead to define technical strategy and accelerate Autonomous, Agentic development, AI-Engineering, and Agent Harness innovations to drive execution across AutoCloud priorities.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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 aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Partner with the Product Manager Lead and Uber Tech Lead to define the Autonomous Cloud technical strategy and accelerate Autonomous Agentic development, AI-Engineering, and Agent Harness innovations.

• Oversee the integration of Agent Platforms and manage the expansion of Autonomous agent lifecycles and experiences.

• Establish the eval harness as the authoritative quality gate and drive the transition of the organization to an eval-first environment by hill climbing, challenging evals to Gemini models.

• Work with and influence stakeholders across the organization to build joint roadmaps and drive adoption of Autonomous Cloud.

• Partner closely with Cloud AI and Google Deepmind (GDM) to production-ize GDM research and scale Autonomous and Agentic Development across first-party AutoCloud producers with unified agentic and eval frameworks and tooling.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

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 alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.