Forward Deployed Engineer

Forward Deployed Engineer (FDE) Location: New York City (Flatiron District) — Hybrid | ~50% Travel Hatz AI is building the infrastructure that lets businesses adopt AI with confidence. Based in the Flatiron District of New York City, we work at the forefront of an AI transformation that is reshaping how work gets done. Across the country, employees are quietly turning to AI tools to boost productivity — but businesses need a trusted, secure way to embrace that same technology. That's the gap we're closing. As a Forward Deployed Engineer (FDE), you'll partner with MSPs and their end-customers to turn AI capabilities into production systems. This role sits at the intersection of customer delivery and core platform development — equal parts engineering, deployment, and product influence. About the Role FDEs lead complex, end-to-end deployments of AI agents and workflows in production, working alongside our most strategic MSP partners and their customers. You'll own the full arc — discovery, technical scoping, system design, build, and production rollout — partnering directly with MSP engineering and domain teams. Success here looks like production adoption, measurable workflow impact, and eval-driven feedback that shapes our product and model roadmaps. You'll work hand in hand with our Product, Partnerships, GRC, Security, and GTM teams. This role is based in New York City. [... source excerpt omitted ...] not traveling (~50%), the team works from our NYC office on a hybrid schedule. What You'll Do Own technical delivery across multiple deployments, from first prototype to stable production Build full-stack systems that deliver real customer value and sharpen how we learn Represent Hatz in senior client settings – CEOs, CMOs, and C-suite equivalents – with the presence to make every interaction land. Embed closely with MSP and end-customer teams to understand their needs and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make sound trade-offs between scope, speed, and quality — and adjust plans to protect delivery Codify working pat [... source excerpt omitted ...] nes and where it can improve Keep teams moving through clarity and follow-through What We're Looking For 2-5+ years of engineering or technical deployment experience, including customer-facing work A track record of scoping and delivering complex projects in fast-moving or ambiguous environments Hands-on experience building or deploying systems powered by LLMs or generative models — and an understanding of how model behavior shapes product experience You’re self-directed in ambiguity – you can shape an unclear ask into a detailed workflow, flag issues early, and deliver on customer need without hand-holding Clear communication with engineers, product teams, and MSP stakeho