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Forward Deployed Engineer
Hatz AIForward Deployed Engineer at Hatz AI responsible for deploying AI systems with strategic partners. Engaging with clients to enhance productivity through tailored AI solutions.
Posted 7/31/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $90,000 - $160,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in technical delivery and project management, with a focus on building full-stack systems and customer engagement. Proficient in scoping complex projects and adapting to fast-paced environments while ensuring clear communication and collaboration with stakeholders.
Highest-signal resume keywords
Technical Delivery ManagementFull-Stack System DevelopmentCustomer-Facing ExperienceProject Scoping and ExecutionLLM and Generative Model Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Full-Stack DevelopmentProject ManagementSystem DeploymentLLM ExperienceGenerative Model Understanding
Soft Skills
Clear CommunicationSelf-Direction in AmbiguityJudgment Under PressureClarity and Follow-Through
Tools & Technologies
Deployment ToolsPlaybooksBuilding Blocks
Industry Keywords
Customer EngagementC-Suite InteractionStakeholder ManagementAgile Environment
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Benefits
Comp & perks- 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