Forward Deployed Engineer, Strategic Deployments
Company websitemonday.com (monday.com, opens in new tab)
Base salary $180K to $230K
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (41 min ago) · observed since
About this job
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 NYC 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 New York City-based hires only: Compensation Range: $180,000-$230,000 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 New York City may differ based on the cost of labor and such additional factors for such other locations.
#LI-Hybrid
Source: monday.com on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($180,000) is above 52% of the 457 Data & ML roles in New York listed on this site; 23 others list the same floor. Their median floor is $176,000; the middle half runs from $150,000 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingForward Deployed Engineer, Strategic Deployments$180K to $230K
Commercial Legal Counsel$180K to $230K
Forward Deployed Engineer, Strategic Deployments$162K to $207K
Forward Deployed Engineer, Strategic Deployments$162K to $207K
Solutions Engineering$148K to $165K
Deployment Architect (Solutions Architect)$140K to $180K
Senior Channel Partner Marketing Manager$130K to $170K
Chart as a table
| Role | Published base |
|---|---|
| Forward Deployed Engineer, Strategic Deployments (this listing) | $180K - $230K |
| Commercial Legal Counsel | $180K - $230K |
| Forward Deployed Engineer, Strategic Deployments | $162K - $207K |
| Forward Deployed Engineer, Strategic Deployments | $162K - $207K |
| Solutions Engineering | $148K - $165K |
| Deployment Architect (Solutions Architect) | $140K - $180K |
| Senior Channel Partner Marketing Manager | $130K - $170K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-09-04
Where this pay comes from
Location as the employer wrote it: New York
USD 180,000 – 230,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
