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Jobs/New York City/Solutions Engineer, Education
New York City, NY

Solutions Engineer, Education

About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and product

Company
OpenAI
Compensation
$221K - $278K
Schedule
Full-Time
Role overview

What this role actually needs.

About the Team The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and product Responsibilities: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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. - 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. - Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting. - Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately. Requirements: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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. - 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. - Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting. - Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately. Benefits: - Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions. - Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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. - 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. - Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting. - Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately. Company context: OpenAI builds frontier AI systems, research infrastructure, and applied products for developers, enterprises, and global users.

Responsibilities

Day-to-day expectations

OpenAI lists these responsibilities for the Solutions Engineer, Education role.

  • Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
  • Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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.
  • 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.
  • Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting.
  • Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately.
Requirements

What a strong candidate brings

These requirements are extracted from the source listing and normalized for UpJobz readers.

  • Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
  • Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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.
  • 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.
  • Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting.
  • Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately.
Benefits

Why people would want this job

OpenAI published these compensation, benefits, or working-context details with the role.

  • Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
  • Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, 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.
  • 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.
  • Act as a technical multiplier for the team by contributing to best practices, influencing deal strategy, and informally mentoring other Solutions Engineers through shared learnings and example-setting.
  • Serve as the first line of defense for security, privacy, and compliance discussions by exercising sound technical and risk judgment, explaining standardized collateral, guiding customers through trust tradeoffs, and escalating complex requirements appropriately.
UpJobz market context

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Solutions Engineer, Education 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

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Compensation read

$221K - $278K 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 New York City should be compared against commute, local salary bands, and nearby employer demand.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
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Interview themes

Artificial IntelligenceHybridaillmmachine-learningresearch

Watchouts

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  • 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.
Role signals

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aillmmachine-learningresearchpythongoawssecurityapiinfrastructure
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Source: jobs.ashbyhq.com · Source ID: c8fc989a-30e3-42e0-babe-fb6bb7a0acd9 · Confidence: 97/100 · Last checked: May 7, 2026

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