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Salary: USD 162,000 - 207,000 / annual
monday.com is seeking a Forward Deployed Engineer to serve as the technical spearhead for AI transformation initiatives with strategic enterprise customers. You will carry a portfolio of 1–2 high-value accounts, embedding deeply with C-level and technical teams to architect, build, and ship AI solutions in production.
Key Responsibilities:
• Strategic Transformation: Embed with C-level stakeholders to architect end-to-end AI solutions and scalable workflows that solve complex, mission-critical business problems. Own the narrative from pilot through full production rollout.
• Outcome Ownership: Define success criteria with customers upfront and own delivery against committed business results—adoption, workflow throughput, measurable ROI. Your success metric is the business outcome, not just the build.
• Build and Ship: Design sophisticated platform configurations, build monday.com AI agents and vibe apps, wire MCP integrations into customer systems, and prototype custom scripts where the platform ends. Leverage architecture and judgment; credibility comes from building it yourself.
• Eval-Driven Product Feedback: Instrument deployments, run evals against real customer workflows, and translate findings into PRDs and roadmap input. Serve as a sensor for the product organization, backing every claim with data.
• Cross-Functional Leadership: Partner with Sales and CS as the technical authority on account strategy. Productize learnings—patterns, agents, and assets from one account become reusable machinery for the entire motion.
You will work with monday.com AI agents, MCP-based integrations, vibe apps, and production workflows, taking 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.
The role is hybrid, requiring 3 days per week in the Denver office.
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 production environments, preferably client-facing
• Background in Solution Architecture or Software Engineering with 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 mindset focused on long-term impact over immediate fixes
