Solutions Engineer, Large Enterprise

OpenAI OpenAI · AI Frontier · Madrid, Spain · Go To Market

Pre-sales Solutions Engineer role focused on helping enterprise customers understand and implement OpenAI's models (ChatGPT, API) to achieve business value. Responsibilities include technical expertise, demonstrating value, recommending architecture, and gathering customer feedback. Requires experience in technical pre-sales, understanding of IT security, and familiarity with Generative AI/ML solutions.

What you'd actually do

  1. Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
  2. Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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. 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.
  5. Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

Skills

Required

  • 5+ years of experience in a technical pre-sales role
  • Full professional fluency in English and Spanish
  • Thorough understanding of IT security principles
  • Experience providing higher-level security and compliance support
  • Industry experience in programming languages like Python or Javascript
  • Experience working with REST APIs
  • Delivered prototypes of Generative AI/traditional ML solutions
  • Knowledge of network/cloud architecture
  • Effective presenter and communicator
  • Own problems end-to-end

What the JD emphasized

  • technical pre-sales role
  • security and compliance questions