---
title: 'Partnerships Solutions Engineer at Dust'
canonical: 'https://feeny.ai/job/partnerships-solutions-engineer-dust-new-york-1kvnve60436p'
type: 'job'
last_seen: '2026-11-06'
---

# Partnerships Solutions Engineer at Dust

- **Company:** Dust
- **Location:** New York, NY
- **Compensation:** $240k–$300k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-30
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/dust/7207f358-42a5-4c4d-b7ee-142b1d9dba04

## Job description

## About Dust

Work is being rewritten, and the people holding the pen are the ones who actually run it.

With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done.

With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast.

We're serving [great customers](https://dust.tt/customers) like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.

Dust is backed by [Sequoia](https://techcrunch.com/2024/06/27/dust-grabs-another-16-million-for-its-enterprise-ai-assistants-connected-to-internal-data/) with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist [named us among the Future 50](https://www.linkedin.com/posts/dust-tt_were-honored-to-be-recognized-on-the-generalists-activity-7359284343929741313-Rq04).

## 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 You'll Do

Build partner offerings

- Collaborate with consulting and technology partners to develop packaged AI solutions and service offerings built on Dust.
- Translate partner expertise and customer workflows into reusable agent templates, demos, and solution blueprints.
- Help identify compelling use cases that partners can take to market and replicate across customers.

Develop repeatable delivery frameworks

- Create practical implementation playbooks covering discovery, solution design, deployment, and customer onboarding.
- Build reusable technical assets and reference architectures that help partners deliver Dust-powered solutions more efficiently.
- Work with partner delivery teams to establish the skills and processes needed to implement solutions independently.

Enable partners technically

- Lead technical workshops, solution design sessions, demos, and proofs of concept with strategic partners and customers.
- Help partners understand Dust's capabilities, integrations, APIs, and MCP ecosystem.
- Equip partners with the knowledge and materials to confidently position, demonstrate, and deliver Dust.

Drive cross-functional execution

- Partner with Sales Engineering, Product, and Engineering to address technical blockers and improve partner solutions.
- Bring feedback from partner implementations into product and integration priorities.
- Work with Partnerships to support joint opportunities and identify where repeatable solutions can drive pipeline and adoption.

## 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.

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.

Location

We're prioritizing building our team with an in-person culture at our offices in Paris, London, San Francisco, and New York because we value the magic that happens when talented people work closely together.

We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.

That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.

## Why Dust

The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.

We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.

If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.

Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.

Learn how we think and work.

- [Our product constitution,](https://blog.dust.tt/a-first-version-of-our-product-constitution/) a story about our mission
- [Your Next Co-Worker Isn’t Human](https://www.youtube.com/watch?v=xIvlRWEXqqw), Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
- [Dust: Gabriel Hubert on Enterprise AI](https://www.nasdaq.com/videos/dust), Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.

## About Dust

## Company Overview
- **One-liner**: Dust is a multiplayer AI platform that provides a shared workspace for teams to build, deploy, and manage AI agents that collaborate with humans.
- **Entity Type**: Private (Series A – $16.1M led by Sequoia Capital in June 2024; total funding $21.5M)
- **Headquarters**: Paris, France
- **Founded**: 2023
- **Founders**: Stanislas Polu (CEO) and Gabriel Hubert (CTO)

## Core Business
- **Primary industry**: Enterprise AI software / AI agent platforms
- **Target customers**: B2B – enterprises, SMBs, and AI operators across departments (engineering, operations, GTM)
- **Mission statement**: “Our mission is to transform how work gets done. We're crafting the AI operating system for the enterprise.”

## Products & Services
- **[Dust Platform](https://dust.tt/)** – Multiplayer AI workspace where teams build, deploy, and manage custom AI agents connected to company knowledge and tools. Includes a semantic layer, role-based permissions, and concurrent agent execution.
- **[RESTful API & MCP](https://dust.tt/)** – Integration primitives for proprietary systems, event-driven webhooks, and bidirectional sync with 100+ production connectors (Slack, CRM, etc.).
- **Model Flexibility** – Seamless switching between frontier models (OpenAI, Anthropic, Google, Mistral) within the same platform.
- **Enterprise Security & Compliance** – SOC 2 Type II, GDPR, HIPAA-ready, SSO/SAML/OIDC, SCIM, RBAC with dual-layer permissions, audit logs, AES-256 at rest, TLS 1.3 in transit.

## Market Standing
- **Valuation**: Not publicly disclosed
- **Total Funding**: $21.5M (Seed $5.5M in June 2023, Series A $16.1M in June 2024)
- **Key Metric**: Annual Revenue – Not publicly disclosed (LinkedIn estimates $1M); 300,000+ users and 3,000+ organizations on the platform
- **Notable Investors**: Sequoia Capital (lead), Connect Ventures, Nat Friedman (AI Grant), and executives from HuggingFace, Alan, Front, Airtable, Datadog, Pigment, Photoroom
- **Growth Signals**: 79 employees (+153.6% YoY), active job postings (12 open roles), expansion into US and UK, presence in 4 countries

## Competitive Advantages
- **Multiplayer AI Design**: Built for collaboration across teams and agents – knowledge, skills, and improvements compound as more users join.
- **Self-Improving Agents**: Agents learn from usage; best practices consolidate into shared skills that spread automatically.
- **Deep Knowledge Integration**: Semantic layer that synthesizes enterprise knowledge, not just retrieval.
- **Enterprise-Grade Security**: Dual-layer permission model, zero privilege escalation, SCIM sync, and strong compliance certifications.
- **Model Provider Agnosticism**: Customers can switch between top models without vendor lock-in.

## Strategic Focus
- Become the "AI operating system for the enterprise" by providing universal AI primitives that make workflows intelligent.
- Grow the community of "AI Operators" – users who build, deploy, and run agents for their teams.
- Continue international expansion (US, UK, Europe) and deepen enterprise sales motion.

## Why Work Here
- **Culture**: High-trust, low-ego, “move fast” environment where every team member shapes product direction. Engineers own features end-to-end; GTM roles influence product roadmap.
- **Hiring Process**: Full-day onsite focused on real work – a proof-of-concept for engineers, business challenges for GTM. Emphasis on ownership, communication, product thinking, and prioritization. Detailed feedback provided to all candidates.
- **Team**: 60% engineering; strong ex-Anthropic, Alan, Notion, Aircall talent; 4.8/5.0 employee rating (15 reviews on LinkedIn).
- **Work Mode**: Hybrid – HQ in Paris with offices/remote presence in US, UK, and Portugal. Specific remote policy not detailed but global team suggests flexibility.
- **Notable**: “Think R2D2, not Skynet” – optimistic approach to AI.

## Sources
1. [dust.tt](https://dust.tt/)
2. [dust.tt/about](https://dust.tt/home/about)
3. [jobs.ashbyhq.com/dust](https://jobs.ashbyhq.com/dust)
4. [linkedin.com/company/dust-tt](https://www.linkedin.com/company/dust-tt)
5. [dust.tt/blog/interviews-at-dust](https://dust.tt/blog/interviews-at-dust)

## Other roles at Dust

- [Product Marketer](https://feeny.ai/job/product-marketer-dust-paris-3tds4c40h1ba) — Paris, France
- [Strategic Partner Marketing Lead](https://feeny.ai/job/strategic-partner-marketing-lead-dust-new-york-xbc6gc3b002c) — New York, NY
- [Founding Product Manager](https://feeny.ai/job/founding-product-manager-dust-paris-q1dqg74djeqw) — Paris, France
- [User Researcher](https://feeny.ai/job/user-researcher-dust-paris-1886y6z5frqf) — Paris, France
- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-dust-new-york-gjp8drnmsbvz) — New York, NY
- [Director of Sales](https://feeny.ai/job/director-of-sales-dust-new-york-83q1v1vcs36g) — New York, NY
- [GTM Lead, UK - SMB/MM/Enterprise](https://feeny.ai/job/gtm-lead-uk-smb-mm-enterprise-dust-london-1xcgrs55tyyx) — London, United Kingdom
- [GTM Lead, France - Enterprise/MM/SMB](https://feeny.ai/job/gtm-lead-france-enterprise-mm-smb-dust-paris-9ryswxdffrjb) — Paris, France
- [GTM Lead, France - Strategic Sales](https://feeny.ai/job/gtm-lead-france-strategic-sales-dust-paris-fs953n3ynwh0) — Paris, France
- [IT Ops](https://feeny.ai/job/it-ops-dust-paris-rbxgbk48vcgp) — Paris, France