Engineering Manager, Forward Deployed Engineering

Intercom Intercom · Enterprise · EMEA · R&D

Engineering Manager for Forward Deployed Engineering (FDE) team in EMEA, focusing on scaling Intercom's AI-first platform for complex organizations. This is a hands-on, player-coach role involving technical execution, business value outcomes, and close collaboration with Sales, Solutions, and Product. The role requires leading a team, engaging in strategic deals, providing technical guidance, architecture, demos, and product evaluation support, and translating field experience into product roadmap feedback.

What you'd actually do

  1. Lead, coach, and nurture a high-performing FDE team while operating under pressure in high-stakes customer engagements.
  2. Own end-to-end outcomes through clarity in communication, speed of execution, tight coordination, and technical quality.
  3. Operate as a player-coach, actively engaging in strategic deals while developing team capabilities. We value leaders who are in the details, and “show, not tell”.
  4. Lead discovery, design, and delivery of tailored technical solutions, including PoCs, evaluations and business value assessments.
  5. Champion a customer-obsessed culture, noticing early indicators of success or failure in customer engagements and raising and correcting them with urgency.

Skills

Required

  • 3+ years of technical experience in roles such as Software Engineer, Forward Deployed Engineer, Solutions Architect, Applied AI or related technical roles.
  • 2+ years of experience leading technical customer-facing teams, with a proven track record of mentoring and managing high-performing teams.
  • Strong technical judgment and the ability to coach engineers through complex architectural trade-offs.
  • Comfortable with a problem space that is ambiguous in nature, and capable of translating that ambiguity into clear signals for Product and Engineering and for positive customer outcomes.
  • Ability to flex working hours to partner with global teams.
  • Excellent communication and presentation skills.

Nice to have

  • Experience selling and deploying AI, data, or highly technical products in complex enterprise environments.
  • Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production.
  • Experience hiring and managing high-performing teams.

What the JD emphasized

  • high-stakes deployments
  • high commercial fluency
  • tight feedback loop
  • hands-on EM role
  • deeply technical leadership role
  • technical guidance, architecture, demos, and product evaluation support are core to the job
  • technical customer-facing teams
  • complex architectural trade-offs
  • ambiguous customer engagements
  • ambiguity into clear signals
  • selling and deploying AI, data, or highly technical products in complex enterprise environments

Other signals

  • AI-first platform
  • AI agent Fin
  • customer service AI