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Solutions Engineer

Join Dust as a Solutions Engineer to bridge sales and customers, showcasing AI solutions that enhance workflows.

Location
Paris
Compensation
Not disclosed
Level
mid
Type
full time · Hybrid

Posted by employer 8 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Dust → Save job Scanned from dust.tt

AI in the day-to-day

We use Dust ourselves every day to shape how humans and agents collaborate while solving our own problems.

Requirements

Visa
Sponsorship available

Not disclosed in this posting: compensation, years of experience.

Benefits

Equity/Stock Options Health Insurance Relocation Assistance

Joblaze summary

In the role of Solutions Engineer at Dust, the individual will serve as a crucial link between the sales team and potential clients, focusing on demonstrating the transformative capabilities of Dust's AI operating system. Key skills include technical aptitude in API concepts and generative AI, along with the ability to effectively communicate complex ideas to diverse audiences. This position is well-suited for someone with a blend of technical and customer-facing experience, particularly in fast-paced environments. Dust's small, high-impact team fosters a collaborative culture that values proactive problem-solving and rapid iteration.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Dust's careers page October 29, 2026.

Quick facts

Is the Solutions Engineer role remote?
It's hybrid — Dust expects some on-site time in Paris.
Where is the role based?
Dust is hiring for this position in Paris.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, API, Generative AI, LLM.
Does Dust sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Dust targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Solutions Engineer role at Dust.

From the original posting

About Dust

TL;DR

As a Solutions Engineer at Dust, you will act as the technical bridge between our sales team and prospective customers, demonstrating how our AI operating system transforms and adds value to their workflows. Your primary focus will be partnering with customers to showcase our solution through technical demonstrations, use case scoping and supporting technical evaluations. You will work closely with our Sales, Customer Success, and Product & Engineering teams to ensure successful customer engagements.


Our culture

  • Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs.

  • Small, High-Impact Team: Join a team of alumni from Stripe, Square, OpenAI, and other top tech companies. We're intentionally keeping our team small and mighty – every individual has massive scope and impact.

  • Transparency & Collaboration: Our repository is open source, and we leverage serendipity between team members. We believe the best ideas emerge when the team shares information and insights openly.

  • Proactive Problem-Solving: If you see something broken, fix it—without waiting for permission. We don't wait for solutions - we create them.

  • Ship to Learn: We move fast and learn from real user feedback.

  • Intellectual Humility: We value strong convictions balanced with open-mindedness. Team members confidently advocate for their ideas while remaining receptive to new perspectives and evidence that might change their minds. If new data emerges, we adapt quickly.

What you’ll do

  • Partner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for success

  • Provide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholders

  • Help customers identify high-value use cases that align with Dust's capabilities and their specific business needs

  • Create and configure custom LLM agents in Dust to demonstrate practical applications

  • Own the technical evaluation end-to-end from customized demos to pilots, helping prospects by onboarding them onto the platform and driving pilot use-cases to completion

  • Represent the voice of the customer with Product & Engineering teams to ensure insights and feedback are being implemented into product strategy

  • Develop and maintain deep expertise in Dust's API capabilities and prompt engineering best practices

  • Educate customers on how to maximize value from generative AI within their workflows

Requirements

  • Meaningful experience in a combination of technical and customer-facing roles

  • Proven track record of helping customers unlock value from sophisticated software products

  • Experience conducting effective technical demonstrations and translating complex concepts to diverse audiences

  • Excellent communication and presentation skills with the ability to engage technical and business stakeholders

  • Strong technical aptitude with understanding of API concepts and generative AI prompt engineering principles

  • Passionate about educating customers of various backgrounds on new technologies

  • Ability to speak to both the technical and business value of a solution

  • Experience collaborating with cross-functional teams in fast-paced environments


Ideal, But Not Required:

  • Experience with AI/ML technologies, particularly generative AI and LLMs

  • Background in productivity tools, knowledge management, or workflow automation

  • Coding experience to understand API implementations and create custom demos


Benefits & Compensation

  • Competitive compensation based on experience

  • We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures

  • Significant equity package in a Sequoia-backed startup

  • Health insurance for you and your dependents

  • New MacBook Pro or Linux machine, monitor, keyboard, etc.

  • Regular team events and offsites

Location

Why Dust

Learn how we think and work.

Standard company text repeated across Dust's postings is omitted here.

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