Solutions Engineer, Core Enterprise

Details

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from highly capable models. OpenAI's customers range from early-stage startups to established global enterprises.

Responsibilities

• Deliver an exceptional pre-sales customer experience for Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value by building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• 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.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources such as the trust portal, and escalating complex requirements to the appropriate teams.
• Partner with senior business stakeholders to understand pre-sales needs, guide AI strategy, identify high-value use cases and applications, demonstrate solutions, recommend architectural patterns, and support implementation and development.
• Work closely with Enterprise Sales, Security, and Product teams.

Requirements

• 8+ years of experience in a technical pre-sales or similar role, including 4+ years selling to Enterprise customers and managing C-level technical and business relationships with complex global organizations.
• Thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.
• Foundational training in programming languages such as Python or JavaScript.
• Experience delivering prototypes of generative AI or traditional machine learning solutions.
• Knowledge of network and cloud architecture.
• Effective presentation and communication skills, including the ability to translate business and technical topics for all audiences, including senior leaders.
• Ability to own problems end-to-end and acquire missing knowledge as needed.
• Humble attitude, eagerness to help colleagues, and commitment to team success.

Benefits

• Equity and performance-related bonuses for eligible employees.
• Medical, dental, and vision insurance, with employer contributions to Health Savings Accounts.
• Pre-tax accounts for health and dependent-care expenses, parking, and transit.
• 401(k) retirement plan with employer match.
• Paid parental, medical, and caregiver leave.
• Flexible paid time off for exempt employees and up to 15 paid days annually for non-exempt employees.
• Paid company holidays and office closures, plus paid sick or safe time as required by law.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.