Solutions Engineer Post-Sales
Technologies
APIs · web development · scripting · GPT-4 · Claude · Mistral · Gemini · LLMs · prompt engineering
About Dust
Dust lets companies build secure, specialized AI agents connected to internal knowledge, tools, and workflows across models like OpenAI, Anthropic, Google, and Mistral.
Series A · 50–100 people
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Customer adoption & accounts · Evidence for this classification:
named us among the Future 50. TLDR; As a Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through value realization, identifying expansion opportunities, and creating high-value, sticky use cases that make Dust indispensable to their operations. You will work closely with our Customer Success and Product & Engineering teams to deepen customer relationships and drive retention. Responsibilities Develop and maintain deep expertise in Dust's product, platform capabilities, and prompt engineering best practices to serve as the internal expert for customer scenarios Serve as a trusted technical advisor to our Enterprise customers, building deep relationships with both technical
More from the job description
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. TLDR; As a Post-Sales Solutions Engineer at Dust, you will act as the technical partner for our existing customers, ensuring they maximize value from our AI operating system throughout their journey with us. Your primary focus will be driving long-term customer success through value realization, identifying expansion opportunities, and creating high-value, sticky use cases that make Dust indispensable to their operations. You will work closely with our Customer Success [... source excerpt omitted ...] tention. Responsibilities Develop and maintain deep expertise in Dust's product, platform capabilities, and prompt engineering best practices to serve as the internal expert for customer scenarios Serve as a trusted technical advisor to our Enterprise customers, building deep relationships with both technical and business stakeholders over time Lead advanced implementation projects, including high-value, high-impact use cases, technical integrations and custom workflows Lead training & workshop sessions, effectively communicating Dust's value proposition to buyers and evaluators (e.g. security and compliance teams). You must possess strong technical acumen and high emotional [... source excerpt omitted ...] ations to the audience, ensuring clarity and engagement. Partner with Customer Success to drive high-value adoption, retention and expansion among your book of business Champion customers' needs with Product & Engineering teams, translating usage patterns and feedback into product requirements and roadmap priorities Be instrumental in building our global Solutions Engineering organization from the ground up as our first post-sales SE hires, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion Requirements 4+ years in a combination of technical and customer-facing roles (e.g. software engineering, solutions archi
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