OpenAI
Solutions Engineer, Core Enterprise
About this role
OpenAI seeks a Solutions Engineer to help enterprise customers drive business value from its AI products. You'll work with C-level stakeholders to identify high-impact use cases, design architectures, and guide AI strategy while collaborating with sales, security, and product teams.
What you'll do
- Provide technical pre-sales expertise and answer product, API, and LLM-related questions for enterprise prospects
- Build and present demos, scope use cases, and recommend architectural patterns for customer implementations
- Create documentation, guides, and FAQs addressing common customer questions and requirements
- Develop relationships with customers through evaluation, validation, and purchasing phases
- Gather customer feedback and advocate internally for product improvements and planning
- Handle security and compliance inquiries, escalating complex requirements to specialized teams
What they're looking for
- Enterprise pre-sales and solution architecture (8+ years)
- C-level stakeholder management in complex global organizations
- IT security and compliance principles for B2B SaaS
- Programming languages (Python or JavaScript)
- Generative AI/ML prototyping and deployment experience
- Cloud and network architecture knowledge
- Technical and business communication to diverse audiences
- Problem-solving and self-directed learning
Benefits
- Hybrid work model (3 days/week in office)
- San Francisco or New York based positions
- Relocation assistance for new employees
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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.
View all jobs at OpenAILikely interview questions
- Walk us through a time you led a complex pre-sales engagement with a C-level executive at an enterprise customer. How did you identify their key business needs and translate them into technical solutions?
- Describe your experience building or presenting demos of AI/ML solutions. How did you tailor your approach to different technical and non-technical audiences?