Solutions Engineer Post-Sales Ajouter aux favoris
- 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
- 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
- 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.
- 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)
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