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Dust

Solutions Engineer

ParisOnsite · France
FullTime · Solutions
POSTED 2 MARVERIFIED 1D AGO
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Role
252 days opentrue age
Posted 2 Mar
Payats field
€80k–130kposted
▲ +71% vs market median €62k
€47k€130k
Market p25–p75
€47k–€91k
Dust p25–p75
€85k–€100kn=3
Paris · n=25 · 365d to 6 Nov
CompanyDust →
31open roles
Opened · 30d
+4
Closed · 30d
−3
7d of snapshots · 30d window
Market
37,654open · Software engineering
Opened · 7d
+2,3546% of open
All software engineering
75,188open
All tracked boards · live 10 Nov · n=37,654
LLMs

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 like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.

Dust is backed by Sequoia 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.

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

Source · DustFirst seen 4 NovOriginal ↗