Partner Solutions Engineer (namer & Latam)

Intercom Intercom · Enterprise · San Francisco, CA · Customer Success & Solutions

This role is a Partner Solutions Engineer focused on enabling a partner ecosystem to integrate and deliver Intercom's AI Customer Agent, Fin. The role involves technical evangelism, enablement, and supporting partner-led Proofs of Concept (POCs). While the company's product is AI-driven, the role itself is not directly building or researching AI models but rather enabling partners to leverage the existing AI agent.

What you'd actually do

  1. Evangelize Fin’s AI-first customer service transformation story to partner executives, sellers, architects, and consultants.
  2. Support qualified partner-sourced and partner-influenced opportunities where technical credibility can improve conversion, velocity, ACV, or expansion.
  3. Enable partner-led POCs from the back end through architecture review, evaluation design, and risk guidance.
  4. Build reusable partner assets including golden demos, technical playbooks, reference architectures, integration guides, and objection-handling materials.
  5. Support technology partners by validating integration use cases, improving marketplace quality, and translating ecosystem requirements into R&D feedback.

Skills

Required

  • Deep technical understanding of AI agents, customer support operations, APIs, integrations, workflows, and enterprise evaluation processes.
  • Strong executive and practitioner-level communication.
  • Ability to teach complex technical concepts clearly.
  • Experience in Solutions Engineering, Partner Engineering, Field Engineering, Solutions Architecture, or Technical Enablement.
  • Comfort working with GSIs, services partners, implementation partners, ISVs, and technology partners.
  • Strong judgment on prioritization and when to scale vs. go bespoke.
  • Ability to translate partner needs into high-signal Product and R&D feedback.
  • Fluent in Spanish and/or Portuguese

Nice to have

  • Experience with AI, automation, customer service platforms, or enterprise SaaS ecosystems.
  • Experience supporting strategic integrations, APIs, or marketplace partner motions.
  • Experience with GSI or services partner enablement.
  • Experience supporting partner-sourced or partner-influenced revenue motions.

What the JD emphasized

  • Deep technical understanding of AI agents, customer support operations, APIs, integrations, workflows, and enterprise evaluation processes.
  • Experience in Solutions Engineering, Partner Engineering, Field Engineering, Solutions Architecture, or Technical Enablement.
  • Ability to translate partner needs into high-signal Product and R&D feedback.