{"id":3301742,"url":"https://alion.io/job/google-customer-engineer-ukie-startups-2","title":"Customer Engineer, UK/IE Startups","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":157,"ghost_share":0.045,"stale_share":0.611,"repost_share":0.045,"time_to_fill_p50_days":30,"computed_at":"2026-10-28T05:59:10Z"}},"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":"explicit","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":104000,"max_usd":183000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":47},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"RAG","optional":false},{"name":"Apache Kafka","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-26T16:36:55Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T13:02:28Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the job\nAs a Customer Engineer in the UK/IE Startups & Scaleups Growth team, you will lead high-impact technical engagements with rapidly scaling, high-potential startups and VC-backed businesses. You will help startup founders, CTOs, and developers scale their products on Google Cloud. You will act as a trusted advisor, helping to accelerate their product delivery, optimize their technical architecture, and drive strategic business outcomes.\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.\nResponsibilities\nDeliver compelling presentations, product demonstrations, and technical workshops at Google events, accelerator programs (e.g., Plug n Play, local startup hubs), and industry conferences.\nBuild and nurture strong, trusted-advisor relationships with startup CTOs, founders, lead architects, and engineering teams.\nHelp customers design and scale modern data platforms using BigQuery, real-time streaming, and vector databases as the core foundation for their application logic and AI capabilities.\nGuide startups on implementing advanced AI workloads, including Generative AI, Large Language Models (LLMs), RAG systems, and agentic workflows, utilizing both first-party (Gemini) and partner model ecosystems (e.g., Anthropic).\nPartner with the Sales team to qualify opportunities, address technical objections, and design secure, scalable, and cost-effective cloud architectures.\nQualifications\nMinimum qualifications:\nBachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.\n\n10 years of experience in a customer-facing technical role (e.g., Customer Engineer, Solutions Architect, or Developer Advocate) within the cloud computing industry.\nExperience designing, architecting, and deploying cloud-native applications, containerized environments (Kubernetes/GKE), and modern data pipelines.\nPreferred qualifications:\nExperience working directly within or as a technical advisor to high-growth, venture-backed startups or scaleups.\nBackground as a CTO, lead architect, or head of engineering at a startup, or equivalent experience navigating fast-paced startup lifecycles.\nStrong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka).\nDeep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain or LlamaIndex).\nActive participation in the startup and AI ecosystem, with a track record of public speaking, technical writing, or community contribution.","description_format":"text","description_chars":2974,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Internet Services","Digital Storage","Digital Media","Marketing Analytics & Attribution"],"lifecycle":[{"event":"open","at":"2026-10-26T23:49:21Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Skilled Worker, Senior or Specialist Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker; 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