Founding Solutions Engineer, Post-Sales

Dust; San Francisco (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

An innovative technology company in San Francisco is seeking a Post-Sales Solutions Engineer to serve as a technical partner for customers and drive long-term success. Responsibilities include building the Solutions Engineering organization, developing expertise in the product, and acting as a trusted advisor. Ideal candidates will have a strong technical background and excellent relationship-building skills. Join a cutting-edge team focused on revolutionizing the way companies operate while enjoying an in-person culture.

Qualifications

• 4+ years in technical/customer-facing roles required.
• Strong work ethic and commitment to excellence are essential.
• Experience with LLMs like GPT-4 is a plus.

Responsibilities

• Build global Solutions Engineering organization.
• Develop expertise in Dust's product and prompt engineering.
• Serve as a trusted advisor to Enterprise customers.

Skills

Relationship-building

Technical acumen

Multitasking

Problem-solving

Data-driven mindset

Tools

APIs

Web development

Scripting

Job description

About Dust

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.

TLDR;

As our founding 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

• Be instrumental in building our global Solutions Engineering organization from the ground up as our first post-sales SE hire in the US, with the opportunity to define processes, establish best practices, and lay the groundwork for future team expansion
• 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 intelligence (EQ) to adapt explanations and presentations 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

Requirements

• 4+ years in a combination of technical and customer-facing roles (e.g. software engineering, solutions architect, implementation engineer).
• An action-oriented and organized self-starter mindset who isn’t afraid to get scrappy to solve customer issues.
• A strong work ethic and commitment to excellence.
• A deep interest in understanding customer needs and the desire to become an expert on Dust’s product.
• Strong relationship-building skills with ability to establish yourself as a trusted technical advisor
• Effective multitasking and prioritization skills under pressure and in ambiguous situations across a wide variety of tasks.
• Demonstrated ability to work collaboratively with cross-functional teams to achieve shared goals.
• A data-driven mindset that can interpret customer feedback and behavior.
• A passion for technology, problem-solving, and a commitment to your customers’ success.
• High technical aptitude, with an ability to work directly with engineers as well as business stakeholders. Experience with APIs, web development, and writing scripts to build internal tools is a plus. Familiarity with LLMs like GPT-4, Claude, Mistral or Gemini is highly desirable.

Location

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.

Why Dust

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.

Learn how we think and work.

• 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)