It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. This is my tailored application for that work — a forward-deployed team that doesn't just consult, but codes, debugs and jointly deploys frontier AI inside customer environments.
My point-by-point fit against the posting's minimum and preferred qualifications — the Google-stack proof (VisaPros on Gemini, the on-device Gemma 4 E2B chat agent on this very page), the honest gaps, and an agent you can ask anything.
View the fit analysisMy point-by-point fit against the posting's minimum and preferred qualifications — the Google-stack proof (VisaPros on Gemini, the on-device Gemma 4 E2B chat agent on this very page), the honest gaps, and an agent you can ask anything.
View the fit analysisMy point-by-point fit against the posting's minimum and preferred qualifications — the Google-stack proof (VisaPros on Gemini, the on-device Gemma 4 E2B chat agent on this very page), the honest gaps, and an agent you can ask anything.
View the fit analysisMy point-by-point fit against the posting's minimum and preferred qualifications — the Google-stack proof (VisaPros on Gemini, the on-device Gemma 4 E2B chat agent on this very page), the honest gaps, and an agent you can ask anything.
View the fit analysisGoogle Cloud's Generative AI go-to-market team is leading the AI revolution for businesses worldwide — pairing Google's most advanced AI portfolio (frontier Gemini models, the full Vertex AI platform, and direct access to DeepMind's engineering and research) with a Forward Deployed Development practice. Unlike teams that just consult, an FDD team codes, debugs and jointly deploys bespoke agentic solutions directly inside customer environments, taking frontier models all the way to enterprise-grade production maturity.
The posting wants a manager whose team doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions inside customer environments — and who can establish code standards, grow the team, and unblock production-level obstacles (data readiness, integration complexity, state management, governance). That is the seat Fauzul has held for a decade: he co-founded ELO, grew it to 22 engineers, went Engineering Manager → CIO, and led customer-facing teams that ship inside client stacks across nine geographies — including an embedded pod taken 0→production for Norway's Frontgo. He stays a player-coach, shipping the exact stack this team manages: VisaPros, a six-agent A2A mesh on Gemini 2.5 Flash Lite with Google Search grounding (the Google × Kaggle 5-Day AI Agents Intensive capstone), plus a Claude-powered natural-language CMS in a client's production stack, with MCP, tool-calling and Google ADK in real builds. He treats governance as designed-in (HIPAA, GDPR, OIDC/RBAC across five organisations) and is candid that his production AI has been Claude-led with Gemini a genuine, growing second — relocating to Toronto to build the team from inside Google Cloud.
