Intercom
Late-stageFin AI Agent for customer support. Intercom FDEs configure, train, and deploy Fin across customer support operations. Connecting it to help centers, knowledge bases, CRMs, and ticketing systems. Then tune the agent's resolution rate and handoff logic for each customer.
Signals from job descriptions
Patterns mined from Intercom's open FDE postings
- 01
Claude (Anthropic) is explicitly named as the underlying model for Fin AI Agent in job descriptions. Rare to see a model partner named in deployment roles.
- 02
Resolution rate is cited as a primary success metric in FDE roles. Performance is tied directly to quantifiable AI outcomes.
- 03
Fin AI Agent is described as a "second agent" alongside human reps, signaling Intercom FDEs deploy a hybrid human+AI support model, not full automation.
Tech stack
Inferred from job descriptions
Languages
AI / ML
Cloud & infra
Tools & integrations
Sectors
Hiring regions
- UK & Europe
- United States
Seniority mix
- Mid-level / unspecified2
- Senior2
- Leadership1
Open roles · 5 total
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