Solutions Engineer, Healthcare & Life Sciences
About the Team 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 our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage start
What this role actually needs.
Solutions Engineer, Healthcare & Life Sciences at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team 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 our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage start
Day-to-day expectations
A clear list of the work this role is designed to cover.
- Deliver an exceptional pre-sales customer experience for large Healthcare & Life Sciences prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
- 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.
- 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 (e.g., trust portal), and escalating complex requirements to the appropriate teams.
What a strong candidate brings
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- 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 (e.g., trust portal), and escalating complex requirements to the appropriate teams.
- Have 10+ years of experience in a technical pre-sales or similar role, including 3+ years selling to Healthcare & Life Sciences customers, managing C-level technical and business relationships with complex global organizations.
- Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.
- Have foundational training in programming languages like Python or Javascript.
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Next moves
- Tailor your resume around ai and llm instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to solutions engineer, healthcare & life sciences is a high-signal hybrid role in san francisco, and it is most realistic for united states residents.
- Open the role quickly if it fits and bookmark three similar jobs before you leave the page.
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- $221K - $278K is visible, so calibrate your application around the posted range.
- Use united states residents as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in hybrid environments.
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