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OpenAI

Solutions Engineer, Pre-Sales

New York City (Remote)$156.6k–$245kfulltimemidAdded 1 month ago

About this role

OpenAI is seeking a Solutions Engineer to guide enterprise customers through pre-sales engagements, helping them identify high-value AI use cases and implement ChatGPT and OpenAI API solutions. You'll serve as a technical advisor, building demos, recommending architectures, and ensuring customers achieve measurable business outcomes.

What you'll do

  • Deliver pre-sales technical expertise to prospects and customers, answering questions about products, APIs, and LLMs
  • Build and present demos that show how OpenAI solutions address specific business needs
  • Create documentation, guides, and FAQs based on recurring customer questions and requirements
  • Develop and maintain customer relationships through evaluation, validation, and purchase stages
  • Gather customer feedback and represent their voice internally to inform product planning
  • Address security and compliance questions and escalate complex requirements to appropriate teams

What they're looking for

  • 3+ years technical pre-sales or similar experience with C-level stakeholders
  • IT security principles and B2B SaaS compliance knowledge
  • Python or JavaScript programming fundamentals
  • Generative AI and machine learning solution development
  • Network and cloud architecture understanding
  • Presentation and communication skills for diverse audiences
  • Problem-solving and ownership mindset
  • Ability to translate technical concepts for business leaders

Benefits

  • Hybrid work model (3 days per week in office)
  • Based in San Francisco, CA with relocation assistance
  • Work with cutting-edge AI technology and OpenAI products
  • Opportunity to influence product strategy through customer insights
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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