Forward Deployed Engineer, Strategic Deployments

October 14, 2026

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About the position

As a Forward Deployed Engineer in the customer organization, you are the technical spearhead of monday.com's AI transformation motion for our most strategic customers. You will carry a portfolio of 1 to 2 strategic accounts, embedding deeply with C-level and technical teams to architect, build, and ship AI solutions in production, and you will be accountable for the business outcomes those engagements promised, not just the build. This is part of a growing motion and you will be joining a team that’s already working on active deployments. Enterprises don't struggle to access AI capability; they struggle to deploy it. Your job is closing that gap for a small portfolio of monday.com's highest-value customers. You will advise executives on AI-driven operational change, design and ship the systems that make it real, and feed what you learn back into the product with evidence, not anecdotes. You will work with: monday AI agents, MCP-based integrations into customer systems, vibe apps, and production workflows. You will take these from discovery through architecture, build, rollout, and measurable adoption. This is an autonomous, high-visibility role that shapes both customer outcomes and the future of forward deployed engineering at monday.com.

Responsibilities

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.
Own the narrative from pilot to full production rollout.
Define success criteria with the customer up front and own getting there.
Design sophisticated platform configurations, build monday agents and vibe apps, wire MCP integrations into customer systems, and prototype custom scripts where the platform ends.
Instrument your deployments, run evals against real customer workflows, and translate what you find into PRDs and roadmap input that changes what we build.
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.

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

Benefits

Competitive salary
benefits
bonus potential
equity eligibility
dedicated L&D team
AI workshops
bootcamps
internal hackathons

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