Join Dust as a Solutions Engineer to bridge sales and customers, showcasing AI solutions that enhance workflows.
Posted by employer 8 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
We use Dust ourselves every day to shape how humans and agents collaborate while solving our own problems.
Requirements
Not disclosed in this posting: compensation, years of experience.
Benefits
Joblaze summary
In the role of Solutions Engineer at Dust, the individual will serve as a crucial link between the sales team and potential clients, focusing on demonstrating the transformative capabilities of Dust's AI operating system. Key skills include technical aptitude in API concepts and generative AI, along with the ability to effectively communicate complex ideas to diverse audiences. This position is well-suited for someone with a blend of technical and customer-facing experience, particularly in fast-paced environments. Dust's small, high-impact team fosters a collaborative culture that values proactive problem-solving and rapid iteration.
Joblaze insights
Quick facts
From the original posting
As 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.
Product-First: Unlike others focused on building foundation models, we're laser-focused on creating delightful product experiences with existing LLMs.
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.
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
Create and configure custom LLM agents in Dust to demonstrate practical applications
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 API capabilities and prompt engineering best practices
Educate customers on how to maximize value from generative AI within their workflows
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
Competitive compensation based on experience
We offer substantial support for relocation, including a stipend up to €10k, finding an apartment in Paris, and supporting you with all residence and work permit-related procedures
Significant equity package in a Sequoia-backed startup
Health insurance for you and your dependents
New MacBook Pro or Linux machine, monitor, keyboard, etc.
Regular team events and offsites
Learn how we think and work.
Our product constitution, a story about our mission
Standard company text repeated across Dust's postings is omitted here.
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