Dust · Enterprise software

Partnerships Solutions Engineer

  • New York (Hybrid)
  • Full-time
  • $240,000 - $300,000 / year

Still open on Dust's site · checked just now

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What you'll do

As written by Dust · Read the original

The Role

We're looking for a Partnerships Solutions Engineer to help build the technical foundation of Dust's partner ecosystem in the US.

You'll work closely with our Partnerships, Sales Engineering, Product, and partner teams to turn relationships into repeatable solutions and customer outcomes. You'll help partners develop AI offerings on Dust, establish the frameworks to deliver them successfully, and build the technical capabilities to bring those solutions to market.

This is a hands-on role for someone who enjoys working at the intersection of AI, technical implementation, and go-to-market strategy.

What Success Looks Like

  • Partners can confidently demonstrate and implement Dust-powered solutions.

  • Partners have repeatable offerings and delivery frameworks they can use across multiple customers.

  • Successful implementations translate into reusable assets, faster delivery, and less reliance on Dust's internal teams.

  • Partner-led opportunities and deployments increase as the ecosystem matures.

Requirements

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 translate customer problems into practical technical solutions and repeatable implementation approaches.

  • Strong communication skills and the ability to work effectively with technical teams, consultants, and business stakeholders.

  • A builder mindset: comfortable with ambiguity, able to prioritize, and motivated to create repeatable processes from scratch.

Nice to have

  • Experience working 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.

Skills

Working languages

English

Company

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