{"id":3497546,"url":"https://alion.io/job/google-customer-engineer-cloud-ai-financial-services-google-cloud-2","title":"Customer Engineer, Cloud AI, Financial Services, Google 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":80,"open_postings":152,"ghost_share":0.046,"stale_share":0.651,"repost_share":0.046,"time_to_fill_p50_days":30,"computed_at":"2026-11-02T06:13:15Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":147000,"max_usd":284000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":827},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Machine Learning","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"TPU","optional":true}],"status":"live","first_seen_at":"2026-10-29T19:39:26Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-02T22:32:56Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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 (CE) with a specialty in Cloud AI, Financial Services, you will partner with technical sales teams to differentiate Google Cloud to our customers. You will serve as a technical expert responsible for accelerating technical wins and adoption of complex, specialized workloads. You will leverage your expertise in our product areas, in partnership with Platform CEs, to be writing code to developing prototypes, proofs-of-concept, and demos to promote new, highly specialized solutions to customers. You will solve AI-centered customer issues and provide a critical feedback loop to influence product development.\nYou will blend sales prowess, market knowledge, and technical engagement to show the value of the Google Cloud portfolio.\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: $152000 - $221000 (USD) + 42.86% bonus target + equity + benefits\nLearn more about benefits at Google.\nResponsibilities\nDrive the technical win for workloads within Cloud AI to ensure rapid and successful adoption, primarily supporting the sales cycle from technical evaluation through customer ramp.\nCombine sales strategies and development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.\nProvide technical consultation to customers, acting as a technical advisor and building lasting customer relationships.\nLeverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.\nWork 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