{"id":2717220,"url":"https://alion.io/job/google-customer-engineer-sled","title":"Customer Engineer, SLED","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":75,"open_postings":101,"ghost_share":0,"stale_share":0.98,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":130000,"max_usd":252000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":726},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Outlook","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Gemini","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-16T11:39:03Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T03:07:37Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the job\nThe Google Cloud Platform team helps customers transform and build what's next for their business - all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers - developers, small and large businesses, educational institutions and government agencies - see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.\nAs a Customer Engineer, you will partner with technical Sales teams to differentiate Google Cloud and our unique Google Public Sector offerings to Ohio state agencies. You will empower these agencies to harness the full potential of the Google ecosystem by designing creative, agentic AI solutions that solve complex institutional challenges.\nMoving beyond traditional data lifecycles, you will lead proofs of concept and guide technical strategy to build autonomous AI agents and intelligent data ecosystems. Leveraging your technical expertise and presentation skills, you will engage with state leaders to translate their requirements into highly automated and practical architectures tailored for the public sector.\nBringing excellent technical, communication, and organizational skills, you will join a team of fellow Googlers dedicated to mutual respect and equal opportunities for success.\nGoogle Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nCollaborate with the sales team to uncover and qualify Google Cloud and AI-first opportunities, proactively addressing technical objections around adoption, and developing strategic pathways to clear technical blockers.\nOwn the technical relationship with stakeholders across state government agencies in Ohio, leading product briefings on Google Cloud and Google's GenAI portfolio. Drive innovative, agentic proof-of-concept (PoC) work, and orchestrate specialized technical resources across Google Public Sector.\nDemonstrate and rapidly prototype intelligent integrations, bringing autonomous agents and AI-powered workflows to life directly within complex environments.\nDesign and recommend AI-optimized enterprise architectures and integration strategies, laying the secure platform and data infrastructure foundations required to successfully deploy comprehensive, forward-looking solutions using Google Cloud best practices.\nTravel to state agency offices, industry conferences, and related events as required to advocate Google Public Sector's outlook and engage directly with leaders.\nQualifications\nMinimum qualifications:\nBachelor's degree or equivalent practical experience.\n10 years of experience with cloud native architecture in a customer-facing or support role.\nExperience with cloud engineering, on-premise engineering, virtualization, or containerization platforms.\nExperience migrating and modernizing legacy applications to scalable cloud platforms, laying the essential data groundwork for advanced AI/ML workloads.\nExperience working as a Technical Sales Engineer in a cloud computing environment, or equivalent experience in a customer or partner-facing role.\nPreferred qualifications:\nExperience partnering with state and local government customers, specifically with Cloud and AI solutions, to drive digital transformation and AI-readiness.\nExperience architecting innovative solutions and building compelling demonstrations using generative AI technologies, specifically Gemini and autonomous agentic workflows.\nUnderstanding of enterprise security and complex networking principles needed to secure AI pipelines, LLM deployments, and distributed architectures.\nAbility to rapidly learn and adapt to the fast-paced evolution of emerging AI methodologies and new Google Cloud 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