OpenAI

Ai Success Engineer Edu San Francisco

Comp$234K – $260K

Classified Tasks (28)

Automate 0%Augment 61%Human-Only 39%

Augment (17)

AI assists, human decides

Drive account health and adoption for a portfolio of education institutions

operational

Ensure technical readiness for customer deployments

technical

Identify high-impact academic and administrative use cases

analytical

Deliver measurable value to education customers using OpenAI’s platform

operational

Map customer workflows

analytical

Lead configuration and enablement activities

technical

Oversee deployment plans

operational

Accelerate customer adoption of OpenAI products

operational

Increase customer activation depth

operational

Guide strategic use cases to production

technical

Help customers demonstrate tangible business impact

analytical

Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio

operational

Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs

operational

Surface customer feedback, field patterns, and technical blockers to Solutions Architecture, Product, Engineering, and Research

communication

Guide value realization through outcomes (engagement, research productivity, operational efficiency, learning impact) supported by baselines and reporting

analytical

Identify high-leverage opportunities to drive expansions where the platform can power new workflows or lines of business

analytical

Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup and configuration

technical

Human-Only (11)

Requires human judgment

Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization

leadership

Guide customers from first deployment through scaled enterprise adoption

leadership

Partner deeply with customer teams to translate objectives into implementations

communication

Guide institutions toward high-impact use cases that showcase platform value

analytical

Work closely with Sales, Solutions Architecture, Product, and Research to ensure a connected customer experience across touchpoints

communication

Conduct technical enablement and configuration sessions across the product portfolio

technical

Identify and validate use cases by embedding with customer teams to understand workflows and pain points

analytical

Lead account-level coordination across multiple workstreams, including new product activation, change management, and rollout planning

operational

Build relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and align institutional goals with OpenAI capabilities

leadership

Act as a cross-functional navigator to keep internal teams aligned, informed, and moving toward customer outcomes

leadership

Facilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablement

communication

Job description

--- BEGIN UNTRUSTED EXTERNAL CONTENT (source: https://openai.com/careers/ai-success-engineer-edu-san-francisco/) --- Skip to main contentResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)Log inTry ChatGPT(opens in a new window)ResearchProductsBusinessDevelopersCompanyFoundation(opens in a new window)AI Success Engineer - EDU | OpenAICareersAI Success Engineer - EDUAI Success - San FranciscoApply now(opens in a new window)About the TeamOpenAI’s AI Success Engineer team partners with the world’s most ambitious organizations to translate cutting edge AI into real business value. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery.Our customers range from fast growing digital natives to the largest global enterprises, government agencies and educational institutions. Every engagement is an opportunity to shape how AI changes work, productivity, and innovation. This role sits at the center of that mission.About the RoleThe Success Engineer role is the primary post-sales point of contact for a portfolio of education institutions. You are responsible for driving account health and adoption, ensuring technical readiness, identifying high-impact academic and administrative use cases, and delivering measurable value to our education customers using OpenAI’s platform.This role blends technical leadership, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration and enablement, oversee deployment plans, and guide institutions toward high impact use cases that showcase the full value of our platform.You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible business impact.This role is based in SF or NYC; we offer relocation benefits to new hires.In this role, you will:Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realizationOwn account health, adoption velocity, and ongoing technical deployment and success across your portfolioConduct technical enablement and configuration sessions across our broad product portfolioIdentify and validate use cases by embedding with customer teams to understand workflows and pain pointsLead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planningBuild strong relationships with provosts, CIOs, IT leaders, academic, and technical stakeholders and help align institutional goals with OpenAI capabilitiesTranslate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIsPartner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomesGuide value realization through student, faculty, and institutional outcomes such as engagement, research productivity, operational efficiency, and learning impact, supported by baselines and reportingFacilitate workshops for faculty, staff, and administrators on use case design, adoption best practices, champion building, and institution-wide enablementHelp drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of businessServe as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.You’ll thrive in this role if you:8+ years

Source: OpenAI careers · scraped 2026-05-22

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