Why This Job is Featured on The SaaS Jobs
This Value Engineer role sits at a key junction in the enterprise SaaS ecosystem where adoption depends on more than product capability. As AI platforms move from experimentation to embedded, organization-wide usage, companies need repeatable ways to translate technical potential into financial and operational outcomes that executives can fund and govern. The remit described here reflects that maturation, connecting frontline deployments with value narratives that can scale across sectors.
For a SaaS career, the work builds durable leverage in value-based go-to-market motions. Experience creating ROI and TCO models, defining measurable outcomes, and packaging executive-ready business cases transfers across product-led and sales-led environments, particularly in categories where payback periods and risk management shape buying committees. The cross-functional surface area with Sales, Product, solutions teams, and security also maps closely to how modern SaaS organizations operationalize customer outcomes and renewal strategy.
This role tends to suit professionals who enjoy analytical storytelling and can move between spreadsheets, stakeholder interviews, and boardroom-level communication without losing rigor. It is a strong match for those drawn to ambiguous, framework-building work and to influencing both pre-sale decisions and post-sale expansion through measurable impact rather than feature comparison.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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-first mindset.
Operate with high ownership, urgency, and comfort navigating ambiguity.
Are a creative builder who thrives in 0→1 environments and enjoys rolling up your sleeves to balance strategic thinking with hands-on execution.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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