Solutions Engineer Post-Sales

About the role

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. As the first post-sales Solutions Engineers, you will be instrumental in building our global organization from the ground up, defining processes, establishing best practices, and laying the groundwork for future team expansion. You will lead advanced implementation projects, including high-value, high-impact use cases, technical integrations and custom workflows that become reference architectures for the broader customer base.

Key facts

What you'll do

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).

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.

Demonstrate strong ownership by owning the end-to-end success of complex, strategic customer engagements from initial scoping through long-term adoption and expansion.

Utilize a data-driven mindset to interpret customer feedback and behavior, identifying patterns that inform adoption strategies and product improvements.

Conduct discovery sessions to deeply understand customer workflows, pain points, and strategic objectives, translating these insights into tailored Dust solution designs.

Collaborate closely with engineering to reproduce and debug issues, ensuring timely and high-quality resolutions that maintain customer trust.

Design and deliver proof-of-concept projects that showcase Dust's capabilities, validating value and accelerating procurement decisions.

Establish and maintain best practices for post-sales engagements, creating reusable artifacts, playbooks, and templates that elevate the entire organization.

Communicate complex technical concepts clearly and persuasively to diverse audiences, adapting style for executives, security leaders, and engineers.

Act as the voice of the customer within Dust, synthesizing feedback and competitive signals to influence product direction and positioning.

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.