Solutions Engineer, Core Digital Natives

OpenAI OpenAI · AI Frontier · San Francisco, CA · Go To Market

Solutions Engineer role focused on partnering with Digital Native customers to ensure they achieve tangible business value from OpenAI's models. This involves understanding pre-sales needs, guiding AI strategy, identifying use cases, demonstrating value, recommending architectural patterns, and fostering customer relationships. The role also involves creating documentation and relaying customer feedback internally.

What you'd actually do

  1. Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
  2. Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
  3. Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
  4. Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
  5. Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

Skills

Required

  • technical pre-sales
  • customer relationship management
  • AI strategy guidance
  • use case identification
  • architectural pattern recommendation
  • Python
  • Javascript
  • Generative AI
  • traditional ML
  • network architecture
  • cloud architecture
  • presentation skills
  • communication skills

Nice to have

  • security principles
  • compliance support

What the JD emphasized

  • 4+ years of experience in a technical pre-sales or similar role
  • thorough understanding of IT security principles
  • foundational training in programming languages like Python or Javascript
  • delivered prototypes of Generative AI/traditional ML solutions
  • knowledge of network/cloud architecture