Solutions Engineer, Core Enterprise
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.
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 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 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. Requirements: - 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 8+ years of experience in a technical pre-sales or similar role, including 4+ years selling to Enterprise 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. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.
Day-to-day expectations
OpenAI lists these responsibilities for the Solutions Engineer, Core Enterprise role.
- 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 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
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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 8+ years of experience in a technical pre-sales or similar role, including 4+ years selling to Enterprise 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.
Why this listing is more than a copied job post.
Solutions Engineer, Core Enterprise is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
United States roles on UpJobz are filtered for high-tech relevance, source freshness, and actionable employer detail before they are allowed into SEO surfaces.
Compensation read
$221K - $245K is visible before the click, so candidates can compare the role against local market expectations before applying.
Work authorization read
Current extracted signal: United States residents. UpJobz treats this as a search signal, not legal advice, and links visa-sensitive roles back to the relevant visa hub where possible.
Location read
Hybrid roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
Browse similar jobs
Turn this listing into an application plan.
This is the first pass at the premium UpJobz layer: a fast brief that helps serious applicants move with more clarity.
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, core enterprise 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.
Interview themes
Watchouts
- $221K - $245K 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.
Keywords to match against your background
Use these terms to decide whether your resume, portfolio, and recent projects line up with the role.
Apply through the employer source
Open the source listing from jobs.ashbyhq.com, confirm the role is still active, then apply on the employer or ATS page.
Source: jobs.ashbyhq.com · Source ID: 1953efa7-5c1f-4878-b4cb-926cd35aafdb · Confidence: 97/100 · Last checked: May 7, 2026
How UpJobz verifies job sourcesContinue browsing tech jobs