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Salary: USD 125,000 - 144,000 / annual
Monday.com is seeking a Forward Deployed Engineer to join its Professional Services team in Atlanta (hybrid, 3 days/week in office). You will deliver technical solutions that embed the monday.com AI Work Platform into enterprise customer environments through integration, custom application development, and agentic AI engineering.
In this role, you will work directly with customers to transform solution designs into production systems. You'll develop deep expertise in the monday.com platform, monday AI, and extensibility tools. Key responsibilities include:
- Lead post-sale technical delivery through discovery, requirements gathering, and execution of technical services engagements, collaborating with account and deployment strategy teams.
- Conduct technical consulting engagements for customers, applying expertise in AI transformation, system scale, security, user governance, and data architecture.
- Engineer complex agentic AI solutions leveraging the monday.com API, MCP, and apps framework to deliver data migrations, integrations, and custom applications.
- Navigate both complex team-based engagements and standalone customer engagements, managing communication, sequencing, and delivery independently.
- Produce documentation, walkthroughs, and exit artifacts enabling customers to operate, maintain, and extend solutions independently.
- Advocate for customer needs with Product and R&D teams to extend platform capabilities.
- Contribute to the global Services tooling roadmap and shared asset library, building internal utilities and reference implementations.
REQUIREMENTS:
- 3+ years as a forward deployed engineer, software engineer, or technical consultant in enterprise software, delivering hands-on technical work for external customers in complex environments.
- Fluency in Generative and Agentic AI development, including LLM-based workflows, agent orchestration, tool use, and context/retrieval design; daily use of AI-assisted editors (Cursor, Claude Code).
- Familiarity with production AI reliability practices: evaluation harnesses, guardrails, human-in-the-loop review, tracing, and production failure modes.
- 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 React or Node.js; full-stack experience preferred.
- Hands-on experience in enterprise data mobility and integrations, including SQL, scripts, and n8n or Workato automations for data migration and transformation.
- Exposure to production engineering concepts: version control, automated testing, CI/CD, and deployment to AWS, GCP, or Azure.
- Consultative skills to understand business problems, frame solutions for stakeholders, and communicate technical topics to non-technical audiences.
- Adaptability to move between customers, technology stacks, and unfamiliar problem domains; resilience for mid-engagement pivots.
- Detail-oriented with project management experience; comfortable running standalone engagements and managing multiple projects simultaneously.
- Positive attitude, empathy, high energy, initiative, and willingness to learn new technologies.
- BS/BA in Computer Science, Engineering, or related field preferred; equivalent professional experience considered.
