monday.com Logo

monday.com

Forward Deployed Engineer

Posted An Hour Ago
Be an Early Applicant
Hybrid
Denver, CO
140K-170K Annually
Mid level
Hybrid
Denver, CO
140K-170K Annually
Mid level
Deliver customer-facing technical solutions integrating monday.com into enterprise technology stacks. Responsibilities include requirements discovery, custom application and agentic AI development, data migration, integrations, technical consulting, production deployment, documentation, and customer enablement. The role also contributes to internal Services tooling and reusable components while collaborating with Product, R&D, account, and deployment teams. This hybrid Denver position requires up to 20% travel and focuses on independently managing complex technical engagements.
The summary above was generated by AI

Forward Deployed Engineer
Services | Denver
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
Our team is growing and we are looking for a Forward Deployed Engineer to join our Professional Services team! In this role, you will deliver the technical solutions that embed the monday.com AI Work Platform within a customer's enterprise tech stack through integration, custom application development, and agentic AI engineering. You will work directly with our customers to transform solution designs into production systems on which their businesses depend. You will also contribute to the internal tooling that powers the speed, quality, and consistency of projects within our global delivery organization.
Please note that this is a hybrid position with three days/week in our Denver office.
Responsibilities

  • Develop deep, hands-on knowledge of the monday.com platform, monday AI, products, and extensibility tools needed to fully integrate monday.com into clients' digital landscapes.

  • Lead post-sale technical delivery through discovery, technical requirements gathering, and the execution of technical services engagements, collaborating closely with account and deployment strategy teams.

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

  • Engineer complex and agentic AI solutions that leverage our developer tools, including the monday.com API, MCP, and apps framework, to deliver data migrations, integrations, and custom applications.

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

  • Produce the documentation, walkthroughs, and exit artifacts for your builds that allow customers to operate, maintain, and extend them independently.

  • Advocate for customers with Product and R&D teams when their needs are not met and play an active role in extending monday.com product capabilities to help customers exceed their business goals.

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

Requirements

  • 3+ years of experience as a forward deployed engineer, software engineer, or technical consultant in enterprise software, delivering hands-on technical work for external customers in complex enterprise environments.

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

  • Familiarity with the practices that keep AI reliable once it is live, covering evaluation harnesses, guardrails, human-in-the-loop review, tracing, and the failure modes that only surface in production.

  • Strong working knowledge of APIs (RESTful, 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 either React or Node.js, and full-stack experience being preferred.

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

  • Exposure to production engineering concepts spanning version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure environments.

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

  • Adaptability to move between customers, technology stacks, and unfamiliar problem domains, with the resilience to absorb a change of direction mid-engagement and genuine appetite for fast-moving work.

  • Detail-oriented with some project management experience, comfortable running standalone engagements independently and working across several projects at once.

  • Positive attitude, empathy, and high energy with the ability to take initiative and learn new technology to move 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 will also be considered.

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 Denver-based hires only: The estimated annual base salary range for this role is $140,000 - $170,000. Actual compensation will be determined based on factors including education, training, experience, business needs, and work location. In addition to base salary, employees are eligible for either an annual discretionary bonus or a role-based, sales incentive plan. Certain roles may also include equity in the form of RSUs. Full compensation details, including any applicable bonus or incentive plan, will be provided in the hiring process.

monday.com offers a competitive benefits package, including comprehensive medical/dental/vision insurance, generous paid time off (vacation, holidays, personal leave and sick leave), fully paid parental leave, automatic 401(k) contributions, the opportunity to purchase company stock at a discount (ESPP), and more. Full benefits details are available upon request. Applications are accepted on a rolling basis with no set deadline.

Similar Jobs at monday.com

2 Months Ago
Hybrid
162K-207K Annually
Senior level
162K-207K Annually
Senior level
Artificial Intelligence • Productivity • Sales • Software
Lead strategic customer AI deployments from discovery through production. Architect and build AI agents, integrations, workflows, and applications; advise C-suite stakeholders; own adoption, throughput, and ROI outcomes; run evaluations; and convert deployment insights into reusable assets, product requirements, and roadmap input.
Top Skills: AIAi AgentsEvalsLarge Language Models (Llms)McpNode.jsPrompt EngineeringReactTypescriptVibe Apps
12 Days Ago
Hybrid
123K-156K Annually
Senior level
123K-156K Annually
Senior level
Artificial Intelligence • Productivity • Sales • Software
Lead AI transformation and software implementation engagements for enterprise customers. Design and configure agentic workflows, automations, relational data structures, reporting, and AI-native solutions in monday.com. Advise clients on business process design, manage projects, deliver training and demonstrations, document solutions, and collaborate with technical teams on integrations and data conversions. Represent customer needs internally and contribute reusable implementation assets.
Top Skills: Agentic AiGenerative AiGraphQLMakeMcpMonday.ComZapier
27 Days Ago
Remote or Hybrid
148K-165K Annually
Mid level
148K-165K Annually
Mid level
Artificial Intelligence • Productivity • Sales • Software
Support complex SaaS sales by demonstrating monday.com’s platform, mapping prospect business processes, handling technical and security questions, and advising on implementation. Partner with Sales, Product, and Customer Success to strategize opportunities, streamline sales methodologies, and create pre-configured solution packages and best practices. The role requires strong customer communication, technical curiosity, business process mapping, and knowledge of APIs.
Top Skills: GraphQLJSONMonday.ComRestful ApisSaaS

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account