OpenAI· AI Success· San Francisco
Value Engineer, AI Success - San Francisco
Comp$252K – $280K
Classified Tasks (19)
Automate 0%Augment 58%Human-Only 42%
Augment (11)
AI assists, human decides
Articulate and quantify the business value of OpenAI’s technology across Enterprise, Education, and Government customers
communication
Translate AI adoption into measurable financial and operational impact for customers and internal teams
analytical
Define how OpenAI measures and communicates real-world impact of AI across customers
operational
Build financial and operational business cases for identified AI use cases
analytical
Develop repeatable frameworks, ROI models, value narratives, dashboards, and collateral that scale value-based selling
operational
Build and maintain standardized ROI, TCO, and value modeling tools for internal and customer use
technical
Publish executive-ready business cases that quantify results and strengthen relationships with C-level stakeholders
communication
Codify value frameworks, methodologies, and reusable assets to scale across the global GTM organization
operational
Establish baselines, define KPIs, and create dashboards to track and communicate value delivery
analytical
Contribute to thought leadership by identifying emerging patterns in how organizations realize value from AI
creative
Create repeatable blueprints for successful enterprise launches and expansions
operational
Human-Only (8)
Requires human judgment
Partner with Sales, AI Success Engineers, AI Deployment Engineering, Product, Solutions Architecture, and Security to deliver safe and responsible AI transformation
leadership
Identify high-impact AI use cases through structured discovery processes
analytical
Lead business value assessments for large deals by identifying key business drivers and quantifying product value to support investment decisions
leadership
Lead structured value discovery engagements to define measurable outcomes and success criteria
leadership
Partner with Account Directors and post-sale teams to influence deal strategy, renewals, and expansion opportunities
leadership
Influence executive alignment, investment decisions, renewals, and long-term expansion through data-driven business cases
leadership
Help build and shape the value engineering function from the ground up, including processes and repeatable assets
leadership
Accelerate customer adoption of OpenAI technology and guide organizations from initial activation to organization-wide impact
operational
Job description
Value Engineer, AI Success - San Francisco | OpenAI Careers ## Value Engineer, AI Success - San Francisco AI Success - San Francisco Apply now(opens in a new window) **About the Team** The AI Success team helps customers turn frontier AI into real business value. We accelerate adoption of OpenAI technology at scale and guide organizations from initial activation to measurable, organization-wide impact. We partner closely with Sales, Product, Solutions Architecture, and Security to deliver safe and responsible AI transformation. Our work shapes how customers generate and measure tangible outcomes from OpenAI products and creates a repeatable blueprint for successful enterprise launches and expansions. **About the Role** We are hiring a Value Engineer to help articulate and quantify the business value of OpenAI’s technology across Enterprise, Education, and Government customers. In this role, you will help customers and internal teams translate AI adoption into measurable financial and operational impact. As an early member of the Value Engineering team, you will help define how OpenAI measures and communicates the real-world impact of AI across its customers. You will partner closely with Sales, AI Success Engineers, AI Deployment Engineering, and Product teams to identify high-impact AI use cases and build financial and operational business cases. Your work will directly influence executive alignment, investment decisions, renewals, and long-term expansion. You will play a key role in helping build and shape the value engineering function from the ground up — developing repeatable frameworks, ROI models, value narratives, dashboards, and collateral that help internal teams and customers understand and measure the impact of AI adoption. Success in this role is measured by how clearly customers and internal teams can quantify the value of AI, how effectively business cases support adoption and expansion, and how scalable value frameworks become across the GTM organization. This role is based in San Francisco or New York City and we offer relocation benefits to new employees. **In This Role, You Will** * Lead business value assessments for our largest deals, working closely with customers to identify key business drivers and quantify the value of OpenAI’s products to support investment decisions * Build and maintain standardized ROI, TCO, and value modeling tools for internal and customer use. * Lead structured value discovery to identify high-impact use cases and define measurable outcomes. * Publish executive-ready business cases that quantify results and strengthen relationships with C-level stakeholders. * Codify value frameworks, methodologies, and reusable assets that scale value-based selling across the global GTM organization. * Establish baselines, KPIs, and dashboards to track and communicate value delivery. * Partner closely with Account Directors and post-sale teams to influence deal strategy, renewals, and expansion opportunities. * Contribute to thought leadership on AI-driven business transformation by identifying emerging patterns in how organizations realize value from AI. **You Will Thrive in This Role If You** * Bring 6–10 years of experience in value engineering, management consulting, or adjacent roles. * Have strong financial and analytical skills, with experience quantifying and presenting value to executive stakeholders. * Demonstrate exceptional executive presence with strong written, verbal, and presentation skills. * Have experience working on large-scale AI, cloud, or digital transformation initiatives. * Communicate with clarity and confidence across technical and business audiences. * Can translate AI capabilities into compelling financial, productivity, and workforce transformation narratives. * Enjoy managing multiple complex customers and driving toward concrete, measurable outcomes. * Demonstrate humility, curiosity, and a customer-fir