Senior Forward Deployed Engineer

Intercom Intercom · Enterprise · San Francisco, CA · R&D

Senior Forward Deployed Engineer at Intercom, focused on driving adoption of their AI Customer Agent (Fin) by working hands-on with strategic customers, understanding their business challenges, and collaborating with R&D and Go-to-Market teams to deliver high-impact solutions. The role involves coding side-by-side with customers, influencing product direction, and contributing to the evolution of the Forward Deployed Engineering function.

What you'd actually do

  1. Drive adoption of Fin by helping prospects unlock the power of Intercom’s AI capabilities to automate and scale their support operations.
  2. Embed deeply with strategic customers to understand their business challenges and technical requirements, and provide the insight needed to achieve outstanding results with Fin.
  3. Work hands-on with customers’ technical teams as a trusted technical expert, coding side-by-side to drive projects through to completion.
  4. Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, successful project delivery, and actionable product feedback.
  5. Contribute to the evolution of the Forward Deployed Software Engineering function by codifying best practices and sharing insights from customer engagements to help the team scale and grow.

Skills

Required

  • Strong engineering background (Computer Science, Mathematics, Software Engineering or Physics preferred)
  • Experience building a SaaS product with real-world usage
  • Interest in AI/ML and ability to quickly understand novel problems, capabilities, and architectures
  • Strong cross-functional collaboration skills
  • Proficiency in at least one high-level programming language (e.g., JavaScript, Python, Ruby)
  • Ability to prototype and ship software quickly with high quality
  • Proficiency in using and writing REST APIs
  • Strong communication skills (technical and non-technical audiences)
  • Willingness to travel and work on-site with customers

Nice to have

  • Former founders or early startup engineers
  • Deep knowledge of trade-offs and limitations of AI/ML capabilities

What the JD emphasized

  • customer impact
  • product innovation
  • applied AI
  • technical excellence
  • real customer impact
  • coding side-by-side
  • business outcomes

Other signals

  • customer-facing AI solutions
  • applied AI
  • customer impact
  • product innovation