240K–300K USD / year

Partnerships Solutions Engineer

Customer successHybrid — New York
Published on 2026-10-30
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Build the technical foundation of Dust’s US partner ecosystem by helping partners create and deliver repeatable AI solutions. The role combines hands-on solution engineering with partner enablement and go-to-market collaboration.

About the company

Dust is a platform that helps companies build and deploy AI agents connected to their internal tools and knowledge.

The team

Partnerships

Stack

MCPAPIsLLMs

What you'll do

  • Develop packaged AI solutions, agent templates, demos, and solution blueprints with partners.
  • Create implementation playbooks, reusable technical assets, and reference architectures.
  • Lead partner workshops, solution design sessions, demos, and proofs of concept.
  • Enable partners to understand and deliver Dust solutions, integrations, APIs, and MCP capabilities.
  • Collaborate across Partnerships, Sales Engineering, Product, and Engineering to address blockers and improve offerings.
  • Bring partner feedback into product priorities and support joint opportunities.

What we're looking for

  • Experience in Solutions Engineering, Technical Consulting, Forward Deployed Engineering, or a similar customer-facing technical role.
  • Hands-on experience building AI applications, agents, automations, or enterprise software integrations.
  • Strong understanding of MCPs, APIs, technical architecture, and connecting business systems and workflows.
  • Ability to turn customer problems into practical, repeatable technical solutions.
  • Strong communication skills with technical and business stakeholders.
  • Comfort with ambiguity and creating processes from scratch.

Nice to have

  • Experience with consulting partners, systems integrators, or technology alliances.
  • Familiarity with MCP, LLMs, and modern AI tooling.
  • Experience developing partner solutions, implementation playbooks, or packaged consulting offerings.
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