Solutions Engineer (US)
Company: Dust
Location: San Francisco
Posted on: April 25, 2025
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 jobs.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 are
at an exciting stage of our journey. We've raised our Series A,
expanded in the US, and hit the $1m and $2m ARR milestones in 2024;
we aim to x5 our growth by the end of 2025.Dust is a with an
experienced and determined team of optimists (coming from companies
like Stripe or OpenAI) that like to focus on users, getting great
things done by shipping fast, and doesn't take itself too seriously
while doing so.TL;DRAs 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. Think "".
- 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
- Be instrumental in building our global Solutions Engineering
organization from the ground up as our founding US Solutions
Engineer, with the opportunity to 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 practicesRequirements
- 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
- For this role, the estimated base salary range is between
$100,000 - $200,000. 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. In addition to base salary, we offer competitive equity
packages that play a big part in recognizing you for the huge
impact you will have on helping us achieve our mission. Please
note, the salary range is a guideline that is subject to change
without notice.
- Health insurance for you and your dependents
- New MacBook Pro or Linux machine, monitor, keyboard, etc.
- Regular team events and offsitesLocationWe're prioritizing
building our team with an in-person culture at our offices in Paris
and San Francisco, valuing the magic that happens when talented
people work closely together.Why DustWe'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 that they have context and explore 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 working on 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.
- a story about our mission
- , podcast with our cofounder, Stanislas Polu, 2024
- - dotAI, podcast with our cofounder, Stanislas Polu, 2024
#J-18808-Ljbffr
Keywords: Dust, Santa Rosa , Solutions Engineer (US), Engineering , San Francisco, California
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