Forward Deployed Engineer, Strategic Deployments
Generate a McCoy IQ challenge in 30 seconds.
See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
Key details
Why this role is notable
The work combines embedded customer-site engineering with executive advisory and direct accountability for business outcomes of AI agent deployments, a role built around getting AI to execute inside enterprise systems rather than just assist. The 'forward deployed engineer' model existed at firms like Palantir, but this version centers on shipping production AI agents, MCP integrations, and vibe apps for a small set of strategic accounts, which is a newer specialization.
Job Description
monday.com is the AI work platform powering the most ambitious teams. 250,000+ customers across departments use us to bring people, workflows, and AI agents together on one flexible platform where AI doesn't just assist, it executes. We move fast, build things that matter, and foster an ownership-driven culture where you're empowered to shape how organizations work and outpace their competition.
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.
Please note this is a hybrid position of 3 days/week in our Atlanta office.
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 Atlanta-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 Atlanta may differ based on the cost of labor and such additional factors for such other locations.
#LI-Hybrid
Interested in working for companies like this one?
Answer a McCoy challenge. Companies hiring in customer success see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Monday.com.
Audit details(provenance, verification trail, raw fields)
Core fields
monday:cc73c9b7-6fbc-407f-bc36-5c53767fb428Provenance
mondayVerification trail
This posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
LLM enrichment
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.
