Forward Deployed Engineer at Hatz AI | New York, NY | Rezi

Forward Deployed Engineer at Hatz AI

Forward Deployed Engineer

Hatz AI · New York, NY

2 days ago

Forward Deployed Engineer

Hatz AI · New York, NY

2 days ago
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About the Role

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. 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.

Responsibilities

  • 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 patterns into tools, playbooks, and building blocks others can reuse
  • Share field feedback that helps Product understand where the platform shines and where it can improve
  • Keep teams moving through clarity and follow-through

Requirements

  • 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 stakeholders alike
  • Calm and judgment when the stakes are high

Skills

  • Python
  • AI tools
  • complex software
  • Claude Code
  • Codex
  • OpenCode
  • security and compliance workflows (SOC reports, DPAs, security questionnaires)
  • incident management
  • on-call rotation practices

Location

  • New York City

Work Type

  • Hybrid
  • Remote
  • Onsite

Experience Level

  • 2-5+ years

Salary/Compensations

  • $90K–$160K base, plus variable, plus equity

Benefits

  • Competitive salary and equity
  • Comprehensive health, dental, and vision insurance; life and disability coverage; 401(k) with match
  • Hybrid work schedule
  • Opportunities for professional development and career growth
  • A collaborative, inclusive work environment

About the Company

  • 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.

Equal Opportunity

  • Hatz AI is proud to be an equal opportunity employer.
  • We are committed to building a diverse, inclusive team and welcome applicants of all backgrounds, identities, and experiences.
  • We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.
  • We believe diverse perspectives make for better products and a stronger company — and we're actively working to build a team that reflects that belief.