AI Deployment Strategist at Dust, a Sequoia-backed AI operating system company. Role bridges Sales and customers, delivering technical demos, scoping AI use cases, and guiding pilot evaluations for enterprise clients.
We're creating a new AI operating system that has the potential to change the way companies operate. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their work.
With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.
We're at an exciting stage of our journey and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to 5x our growth by the end of 2026.
Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.
As a Pre-Sales AI Deployment Strategist at Dust, you’ll serve as the technical bridge between Sales and prospective customers, demonstrating how our AI operating system transforms their workflows. You’ll partner with prospects to scope high-impact use cases, deliver compelling technical demonstrations, and guide evaluations from first conversation through pilot success.
You’ll work closely with Sales, Customer Success, and Product & Engineering to ensure every engagement clearly communicates value and sets customers up for long-term success.
Be instrumental in building our global Pre-Sales Deployment organization from the ground up as one of our first US Solutions Engineers, with the opportunity to help define processes, establish best practices, and lay the groundwork for future team expansion
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
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 product, platform capabilities and prompt engineering best practices
Experience in roles that combine technical depth with customer-facing work
Proven success helping customers unlock value from complex 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
Passion for educating customers on emerging technologies
Ability to speak to both the technical and business value of a solution
Experience collaborating cross-functionally in fast-paced environments
Nice to have
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 and Compensation
For this role, the estimated base salary range is between $135,000 to $220,000 a year. (Please note, we are hiring at different levels).
Base salaries are just one component of the total compensation package and are determined by a number of factors such as years of experience, expertise, qualifications and more. The salary range is a guideline that is subject to change without notice.
Significant equity package at a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Opportunity to travel to the EU multiple times a year
Regular team events and off-sites
We're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, because we value the magic that happens when talented people work closely together.
We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better). The key is building the infrastructure so they have the right context, and building the best interfaces for humans to interact with them.
We have the unique opportunity to explore and shape the way humans interact with machines while building a product we use ourselves every day.
If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, 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.
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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 Stanislas Polu (2024)