Forward Deployed Engineer

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. When not traveling (~50%), the team works from our NYC office on a hybrid schedule.

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

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

Qualifications

• Experience writing or maintaining customer-facing documentation
• Proficiency in Python or familiarity with AI tools and complex software
• Experience using coding tools like Claude Code, Codex, OpenCode, etc.
• Prior exposure to security and compliance workflows (SOC reports, DPAs, security questionnaires)
• Familiarity with incident management and on-call rotation practices

Skills

• Self-directed in ambiguity
• Clear communication
• Ability to shape unclear asks into detailed workflows
• Experience with customer-facing documentation
• Proficiency in Python or familiarity with AI tools
• Experience with coding tools like Claude Code, Codex, OpenCode, etc.
• Prior exposure to security and compliance workflows
• Familiarity with incident management and on-call rotation practices

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

Pay

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

Schedule

Hybrid | ~50% Travel