AI Deployment Strategist, Pre-Sales

Dust
San Francisco$135k – $220kPosted 23 February 2026

Job Description

About DustWe'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.This RoleAs 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.ResponsibilitiesBe 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 expansionPartner with the Sales team to articulate Dust’s value proposition to our prospects and customers and set them up for successProvide compelling product demonstrations that showcase Dust's capabilities to both technical and business stakeholdersHelp customers identify high-value use cases that align with Dust's capabilities and their specific business needsOwn 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 completionRepresent the voice of the customer with Product & Engineering teams to ensure insights and feedback are being implemented into product strategyDevelop and maintain deep expertise in Dust's product, platform capabilities and prompt engineering best practicesRequirementsExperience in roles that combine technical depth with customer-facing workProven success helping customers unlock value from complex software productsExperience conducting effective technical demonstrations and translating complex concepts to diverse audiencesExcellent communication and presentation skills with the ability to engage technical and business stakeholdersStrong technical aptitude with understanding of API concepts and generative AI prompt engineering principlesPassion for educating customers on emerging technologiesAbility to speak to both the technical and business value of a solutionExperience collaborating cross-functionally in fast-paced environmentsNice to haveExperience with AI/ML technologies, particularly generative AI and LLMsBackground in productivity tools, knowledge management, or workflow automationCoding experience to understand API implementations and create custom demosBenefits and CompensationFor 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 startupHealth insurance for you and your dependentsNew MacBook Pro or Linux machine, monitor, keyboard, etc.Opportunity to travel to the EU multiple times a yearRegular team ... (truncated, view full listing at source)
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