Partnerships Solutions Engineer

present of AI; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Dust seeks a product-minded partner enablement lead who can turn partner relationships into repeatable AI offerings on Dust. You’ll build reusable agent templates, demos and solution blueprints, and translate customer problems into scalable technical approaches.

The role requires hands-on experience with AI agents or integrations, comfort with APIs and the MCP ecosystem, and the ability to run workshops and coach partner teams to deliver independently.

Qualifications

• Hands-on experience building AI agents or integrations.
• Ability to translate customer problems into repeatable technical approaches.
• Comfort with APIs, MCPs and technical architecture.

Responsibilities

• Turn partner relationships into working AI offerings on Dust.
• Build reusable agent templates, demos and solution blueprints.
• Run workshops and coach partner teams to deliver solutions.

Skills

AI agent building

API integration

Technical architecture

Partner enablement

Workshop facilitation

Tools

Dust APIs

MCP ecosystem

Job description

The role asks for someone who can turn partner relationships into working AI offerings on Dust, building reusable agent templates, demos and solution blueprints. A strong candidate has hands on experience building AI agents or integrations and can translate customer problems into repeatable technical approaches. Comfort with APIs, MCPs and technical architecture matters, along with the ability to run workshops and teach partner teams to deliver on their own.

How it fits the AI era

The work sits where AI agents meet how companies actually operate, so the role is about packaging that capability for partners rather than writing models. Much of the value comes from judgment about which use cases will replicate and how to make delivery repeatable. The human parts are the design sessions, the partner coaching and the translation between business problems and technical solutions.

How it builds AI experience

Building on Dust means hands on work with agents, integrations, APIs and the MCP ecosystem, and the role offers direct exposure to how partners package and deliver AI solutions. A candidate can strengthen this by building agents and automations connected to real business tools and by learning how MCP links systems and workflows. Experience with consulting partners or systems integrators helps, since the job is about enabling others to deliver.

Worth showing

• AI agent building
• API and MCP integration
• Partner technical enablement

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Dust

Dust is a multiplayer AI platform that connects company knowledge, tools, and teams so people and agents can work together in shared workflows, per the company.