Value Engineer - San Francisco

OpenAI•San Francisco, CA

1d•$234,000 - $260,000

About The Position

The Value Engineer helps customers turn OpenAI technology into measurable business value across Enterprise, Education, and Government. The role translates AI adoption into financial and operational impact and works with customers and internal teams to identify high-impact use cases, develop business cases, and measure outcomes. As an early member of the Value Engineering team, this person will help establish how OpenAI measures and communicates AI’s real-world impact, influencing executive alignment, investment decisions, renewals, and expansion. The role also helps build the value engineering function by developing repeatable frameworks, ROI models, value narratives, dashboards, and collateral. Success is measured by how effectively customers and internal teams quantify AI’s value, how well business cases support adoption and expansion, and how scalable value frameworks become across the go-to-market organization. The position is based in San Francisco or New York City, with relocation benefits offered to new employees.

Requirements

6–10 years of experience in value engineering, management consulting, or adjacent roles.
Strong financial and analytical skills, including experience quantifying and presenting value to executive stakeholders.
Exceptional executive presence and strong written, verbal, and presentation skills.
Experience working on large-scale AI, cloud, or digital transformation initiatives.
Ability to communicate clearly and confidently with technical and business audiences.
Ability to translate AI capabilities into compelling financial, productivity, and workforce transformation narratives.
Ability to manage multiple complex customers and drive toward concrete, measurable outcomes.
Humility, curiosity, and a customer-first mindset.
High ownership, urgency, and comfort navigating ambiguity.
Ability to balance strategic thinking with hands-on execution in a 0→1 environment.

Responsibilities

Lead business value assessments for the largest deals, working with customers to identify business drivers and quantify the value of OpenAI 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 to scale value-based selling across the global GTM organization.
Establish baselines, KPIs, and dashboards to track and communicate value delivery.
Partner with Account Directors and post-sale teams to influence deal strategy, renewals, and expansion opportunities.
Identify emerging patterns in how organizations realize value from AI and contribute to thought leadership on AI-driven business transformation.
Partner with Sales, AI Success Engineers, AI Deployment Engineering, and Product teams to identify use cases and build financial and operational business cases.