{"id":3618385,"url":"https://alion.io/job/google-ai-technical-enablement-lead-forward-deployed-engineering-2","title":"AI Technical Enablement Lead, Forward Deployed Engineering","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":79,"open_postings":141,"ghost_share":0.05,"stale_share":0.674,"repost_share":0.05,"time_to_fill_p50_days":30,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Vertex AI","optional":false},{"name":"CrewAI","optional":true},{"name":"Google ADK","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Multi-Agent Systems","optional":true}],"status":"live","first_seen_at":"2026-11-02T13:38:15Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-04T15:30:18Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About the job\nAs part of the Google Cloud JAPAC AI Tech GTM team, the AI Technical Enablement Lead will be responsible for designing, executing, and scaling a comprehensive, high-touch technical onboarding program tailored specifically for FDEs across the region. Your role will act as the operational programmatic anchor for new talent, ensuring hires develop deep product expertise, master customer engagement methodologies, and complete rigorous skill-based capstones, because AI technologies and product interfaces iterate at speed, the lead will actively update the learning curriculum in real-time to keep the FDEs lock step with the nuanced needs of the JAPAC customer. Additionally, you will crowdsource and coordinate subject matter experts across JAPAC/globally, ultimately building a sustainable framework that elevates field readiness and drives long-term customer impact.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.Responsibilities\nDevelop deep technical enablement programs based off of Forward Deployed Engineer and Cloud AI CE requirements for learning of AI products.\nMap persona-based views of technical GTM field enablement needs, leading the development of curriculum for in-person, e-learning and other assets.\nDesign, build and execute structured AI product deep technical training and enablement programs, and build-out of materials for P0, P1 and other priority AI initiatives.\nIntegrate into technical sales teams to understand enablement needs and become a trusted advisor to technical AI leadership.\nQualifications\nMinimum qualifications:\nBachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.\n5 years of experience with software development using Python or similar coding languages.\nExperience taking production-grade 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