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Forward Deployed Engineer, Strategic Deployments

monday.com
Denver, USA
Full-time
Senior · 5+ years experience
Hybrid
USD 162000-207000 yearly / year
Discovered 1 months ago
TypeScriptNode.jsReactmonday AI agentsMCPAI

Full Job Posting

About The Role

Strategic transformation. Embed with C-level stakeholders across your accounts to architect end-to-end AI solutions and scalable workflows that solve complex, mission-critical business pains. You own the narrative from pilot to full production rollout.

Outcome ownership. Your success metric is the business result the engagement committed to: adoption, workflow throughput, measurable ROI. You define the success criteria with the customer up front and you own getting there.

Build and ship. Design sophisticated platform configurations, build monday agents and vibe apps, wire MCP integrations into customer systems, and prototype custom scripts where the platform ends. Your leverage is architecture and judgment; your credibility is that you can build it yourself.

Eval-driven product feedback. Instrument your deployments, run evals against real customer workflows, and translate what you find into PRDs and roadmap input that changes what we build. You are a sensor for the product org, with data behind every claim.

Cross-functional leadership. Partner with Sales and CS as the technical authority on account strategy. Productize what you learn: patterns, agents, and assets from one account become reusable machinery for the whole motion.

What we promise

This role has been built with a direct line into the product roadmap, a mandate to productize rather than repeat, and outcome-based success criteria agreed before the build starts.

Requirements

  • 5+ years building applications from scratch using TypeScript/Node.js/React, with full-stack depth
  • Experience leading hands-on projects end to end in a production environment, preferably client-facing
  • Background in Solution Architecture or Software Engineering with a strong grasp of AI/LLM systems: agent architectures, MCP or comparable tool-use protocols, evals, and prompt-to-production workflows
  • Experience navigating C-suite relationships and influencing executive decisions in ambiguous environments
  • Track record of turning one-off delivery work into reusable assets, product requirements, or repeatable playbooks
  • Entrepreneurial, fast-moving, and focused on long-term impact over immediate fixes
  • What monday.com can offer you:
  • Join a customer-obsessed team where transparency and ownership are how we actually operate - not just things we put on a wall
  • Work on a multi-product suite powered by advanced AI, where what you ship reaches hundreds of thousands of customers worldwide
  • Competitive salary, benefits, bonus potential, and equity eligibility for many roles — we believe people should share in our success
  • Grow fast through a dedicated L&D team, AI workshops, bootcamps, and internal hackathons - the industry moves quick and so do we
  • A collaborative, global culture backed by Employee Resource Groups and workplace teams across New York, Tel Aviv, London, Munich, Warsaw, Tokyo, Sydney, and more
  • Visa sponsorship for this role is currently not available.
  • monday.com is proud to be an equal-opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, military or veteran status, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws.
  • For Denver-based hires only: Compensation Range: $162,000-$207,000 base salary, subject to standard withholding and applicable taxes. In addition to base salary, the role includes opportunity to receive and/or earn a discretionary bonus and/or equity based on Company’s plans and in accordance with Company’s policies. Compensation finally awarded to the candidate will be commensurate with the candidate’s skills and experience. Compensation ranges for candidates in locations outside of Denver may differ based on the cost of labor and such additional factors for such other locations.
  • #LI-Hybrid

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