{"id":3386880,"url":"https://alion.io/job/google-engineering-director-autonomous-cloud","title":"Engineering Director, Autonomous Cloud","company":{"id":82,"name":"Google","domain":"google.com","url":"https://alion.io/company/google","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":81,"open_postings":152,"ghost_share":0.046,"stale_share":0.632,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":202000,"max_usd":380000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"A2A","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-27T13:11:47Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-10-30T22:06:23Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About the job\nLike 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.\nWith 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.\nThe 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.\nIn 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.\nGoogle 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.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nPartner 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.\nOversee the integration of Agent Platforms and manage the expansion of Autonomous agent lifecycles and experiences.\nEstablish 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.\nWork with and influence stakeholders across the organization to build joint roadmaps and drive adoption of Autonomous Cloud.\nPartner 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.\nQualifications\nMinimum qualifications:\nPhD in Computer Science, Mathematics, or other relevant engineering discipline or equivalent practical experience.\n15 years of software engineering experience building and working with large-scale systems in a technology organization.\n5 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.\n5 years of experience as a Software Engineering leader in ML Infrastructure, ML or AI for products, or related fields. \nExperience with technical innovation within cross-functional engineering environments.\nExperience leading engineering teams through organizational and technical transformations.\nPreferred qualifications:\nExperience managing complex cross-functional dependencies with research groups and cloud platform teams.\nExperience successfully producing software products and large-scale distributed systems.\nExperience in configuration management tools and automation efforts with technical troubleshooting and performance tuning experience with Enterprise or Data Center Network architecture.\nExpertise in building and scaling autonomous agent frameworks or cloud automation infrastructure at planet scale.\nExpertise building Gen AI, ML products, Agent frameworks, Agent protocols (e.g., MCP, A2A), RAG, Prompt Engineering, Evals, 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