Solutions Engineer

Mosaic.tech; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Relocation stipend up to €10k

Equity package

Health insurance

MacBook Pro or Linux machine

Team events

Résumé du poste

Dust is looking for a Solutions Engineer in Paris to act as the technical bridge between sales and prospects. You will demonstrate our AI operating system, scope use cases, and support technical evaluations, collaborating with Sales, Customer Success, and Product & Engineering teams.

You will own demos, identify high-value applications, and build custom LLM agents to showcase practical deployments. Strong communication and API understanding are essential in a fast-paced startup environment.

Qualifications

• Proven experience in technical demonstrations for diverse audiences (technical and business).
• Strong communication and presentation skills across stakeholders.
• Understanding of API concepts and how to communicate AI value.
• Experience working with cross-functional teams in fast-paced environments.
• Familiarity with generative AI and prompt engineering principles.

Responsabilités

• Partner with the Sales team to articulate Dust’s value and drive customer success.
• Deliver compelling product demonstrations to technical and business stakeholders.
• Identify high-value use cases aligned with Dust’s capabilities.
• Create and configure custom LLM agents to demonstrate practical applications.
• Own the technical evaluation end-to-end from demos to pilots.

Connaissances

Technical demos

API concepts

Communication

Cross-functional collaboration

Prompt engineering

Outils

APIs

Description du poste

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

We're prioritizing building our team with an in‑person culture at our offices in Paris, 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.

Learn how we think and work.

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.

• Our product constitution, a story about our mission
• Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024
• LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024