Forward Deployed Engineer

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Productivity • Sales • Software
Power the most ambitious teams.
The Role
Lead end-to-end technical delivery of complex enterprise engagements using integrations, custom applications, and agentic AI. Design architectures, scope and estimate work, migrate data, build production systems, and ensure AI reliability through evaluation, guardrails, and monitoring. Partner directly with senior customers, define outcome metrics, mentor engineers, contribute to shared tooling, and influence product roadmaps. The role is hybrid in London and requires travel up to 20%.
Summary Generated by Built In

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.

About the Role

We are looking for a Senior Forward Deployed Engineer to join our Professional Services team in London. You will own the technical delivery of solutions that embed the monday.com AI Work Platform into a customer's enterprise tech stack through integration, custom application development, and agentic AI engineering. You will work directly with customers to turn business problems into production systems their businesses depend on.

As a senior member of the team, you will set the technical direction of our most complex EMEA engagements, including outcome-based engagements where monday.com delivers a working business result. You will also raise the technical bar of the London team and help shape the global Services tooling roadmap.

Please note that this is a hybrid position with three days/week in our London office.

Responsibilities
  • Own the end-to-end technical design of complex, multi-workstream engagements: architecture, integration approach, security and governance, and the path from pilot to scale.

  • Lead technical scoping before and after the sale: break a business problem into a deliverable solution, estimate effort and risk, and shape the delivery plan and the commercial model with account and deployment strategy teams.

  • Deliver outcome-based engagements, where success is measured by the business result in production (throughput, cycle time, manual effort removed), not hours delivered. Define the success metrics, the operating model after go-live, and how the solution keeps improving.

  • Engineer complex and agentic AI solutions using our developer tools, including the monday.com API, MCP, and apps framework, to deliver data migrations, integrations with core enterprise systems (ERP, CRM, ITSM, data platforms), and custom applications.

  • Lead technical consulting engagements for customers, applying industry knowledge in the areas of AI transformation, system scale, security, user governance, and data architecture.

  • Navigate both complex engagements, where you execute defined technical scope within a delivery team, and standalone engagements, carrying customer communication, sequencing, and delivery yourself.

  • Mentor and review the work of other engineers. Set standards for code quality, testing, documentation, and AI reliability across the team's builds.

  • Produce the documentation, walkthroughs, and exit artifacts that let customers operate, maintain, and extend what you build.

  • Advocate for customers with Product and R&D when their needs are not met, and help extend monday.com's product capabilities.

  • Contribute to the global Services tooling roadmap and shared asset library: internal utilities, reusable components, and reference implementations that make each engagement faster than the last.

Requirements
  • 5+ years as a forward deployed engineer, software engineer, solutions engineer, or technical consultant in enterprise software, with a track record of leading hands-on technical delivery for external customers in complex enterprise environments.

  • Breadth over specialisation: a strong engineer with AI depth who is comfortable across the stack, rather than a pure frontend or backend specialist.

  • Fluency in Generative and Agentic AI development: LLM-based workflows, agent orchestration and tool use, context and retrieval design, with AI-assisted editors such as Cursor or Claude Code in daily use.

  • Experience keeping AI reliable in production: evaluation harnesses, guardrails, human-in-the-loop review, tracing, and the failure modes that only show up once a system is live.

  • Strong working knowledge of APIs (REST, GraphQL), webhooks, MCP, identity management (SCIM), and authentication protocols (SAML 2.0 / OAuth 2.0).

  • Software development experience in TypeScript and JavaScript, with depth in React or Node.js; full-stack experience preferred.

  • Hands-on experience in enterprise data mobility and integrations: the SQL, scripts, and n8n or Workato automations that migrate and transform customer data into target systems.

  • Production engineering practice: version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure.

  • Experience scoping and estimating technical work, and owning delivery against an agreed outcome, timeline, or commercial commitment.

  • Consultative range and communication skills to understand a business problem, frame a solution for senior client stakeholders, and explain technical topics clearly to a non-technical audience.

  • Adaptability across customers, technology stacks, and unfamiliar domains, with the resilience to absorb a change of direction mid-engagement.

  • Comfortable running several engagements at once, with strong project management habits.

  • Positive attitude, empathy, and high energy; takes initiative and learns new technology to go where the work is.

  • Willingness to travel up to 20% of the time.

  • BS or BA in Computer Science, Engineering, or a related field preferred; equivalent professional experience also considered.

Skills Required

  • 5+ years of experience as a forward deployed engineer, software engineer, solutions engineer, or technical consultant in enterprise software
  • Track record of leading hands-on technical delivery for external customers in complex enterprise environments
  • Strong engineering breadth with depth in AI development across the technology stack
  • Experience developing generative and agentic AI solutions, including LLM workflows, agent orchestration, tool use, context design, and retrieval
  • Experience using AI-assisted editors such as Cursor or Claude Code
  • Experience maintaining AI reliability in production through evaluation harnesses, guardrails, human-in-the-loop review, and tracing
  • Strong knowledge of REST, GraphQL, webhooks, MCP, SCIM, SAML 2.0, and OAuth 2.0
  • Software development experience with TypeScript and JavaScript
  • Depth in React or Node.js; full-stack experience preferred
  • Experience with enterprise data migration and integrations using SQL, scripts, n8n, or Workato
  • Production engineering experience with version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure
  • Experience scoping and estimating technical work and owning delivery against outcomes, timelines, or commercial commitments
  • Strong consultative communication skills with senior client stakeholders and non-technical audiences
  • Adaptability across customers, technology stacks, and unfamiliar domains
  • Ability to manage several engagements simultaneously with strong project management habits
  • Willingness to travel up to 20% of the time
  • BS or BA in Computer Science, Engineering, or a related field, or equivalent professional experience

What the Team is Saying

Ruchita
Nate
Kyle
Brad Wisselman
Brad Wisselman
Bianca Collado

monday.com Compensation & Benefits Highlights

  • Healthcare Strength — Comprehensive medical, dental, and vision coverage is highlighted, with multiple plan options and HSA availability. In some cases the employer covers a large share of premiums.
  • Retirement Support — Employer 401(k) contributions are explicitly advertised, with automatic contributions described in U.S. postings. This creates a clear baseline of retirement support.
  • Parental & Family Support — Fully paid parental leave is prominently featured, with substantial paid time available to both primary and secondary caregivers. This sits alongside paid sick leave and broader time-off provisions.

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The Company
HQ: New York, NY
3,155 Employees
Year Founded: 2012

What We Do

At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we’re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.

Why Work With Us

At monday.com we believe in transparency, accountability, and impact. Together, those values have lent themselves to create a strong culture of professional and creative autonomy where every team member is encouraged to share ideas and help bring them to life!

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Employees engage in a combination of remote and on-site work.

monday.com embraces a flexible work environment with our hybrid model.

Typical time on-site: 3 days a week
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