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Solutions Engineer

Solutions Engineer

CompanyDust
LocationSan Francisco, CA, USA, New York, NY, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
Degrees
Experience LevelMid Level, Senior

Requirements

  • 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

Responsibilities

  • 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 practices

Preferred Qualifications

  • 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