Value Engineer - NYC

Description

The team helps customers turn advanced AI into measurable business results. It speeds up adoption of the company's AI technology across an organization, from first activation to impact felt company-wide. The team works with Sales, Product, Solutions Architecture, and Security to run safe, responsible AI rollouts, and it builds a repeatable playbook for enterprise launches and expansions.

The role focuses on quantifying the business value of the company's AI for Enterprise, Education, and Government customers. You will help customers and internal teams turn AI adoption into financial and operational results that can be measured.

This is an early position on the Value Engineering team, so you will help set how the company measures and explains the real-world effect of AI. You will work with Sales, AI Success Engineers, AI Deployment Engineering, and Product to find high-impact use cases and build financial and operational business cases. Your work will shape executive buy-in, investment decisions, renewals, and later expansion.

You will help build the value engineering function from scratch, creating repeatable frameworks, ROI models, value stories, dashboards, and sales materials that help internal teams and customers understand and track AI's impact.

Success means customers and internal teams can clearly measure the value of AI, business cases drive adoption and expansion, and value frameworks scale across the go-to-market organization.

The role is based in San Francisco or New York City. Relocation benefits are offered to new hires.

Responsibilities

• Lead business value assessments for the largest deals, working with customers to find the main business drivers and quantify what the company's products are worth to support investment decisions.
• Build and maintain standard ROI, TCO, and value models for internal and customer use.
• Run structured value discovery to identify high-impact use cases and set measurable outcomes.
• Write executive-ready business cases with quantified results, and build stronger relationships with C-level stakeholders.
• Turn value frameworks, methods, and reusable assets into material that lets value-based selling scale across the global go-to-market organization.
• Set baselines, KPIs, and dashboards to track and report delivered value.
• Work closely with Account Directors and post-sale teams to shape deal strategy, renewals, and expansion opportunities.
• Contribute thought leadership on AI-driven business change by spotting emerging patterns in how organizations gain value from AI.

Requirements

• Have 6 to 10 years of experience in value engineering, management consulting, or a closely related role.
• Have strong financial and analytical skills, and experience quantifying and presenting value to executives.
• Have excellent executive presence and strong written, verbal, and presentation skills.
• Have experience on large-scale AI, cloud, or digital transformation initiatives.
• Communicate clearly and confidently with both technical and business audiences.
• Can turn AI capabilities into clear financial, productivity, and workforce transformation stories.
• Are comfortable managing several complex customer accounts and driving toward concrete, measurable outcomes.
• Show humility, curiosity, and a customer-first attitude.
• Take high ownership, act with urgency, and handle ambiguity well.
• Are a creative builder who works well in 0-to-1 environments and balances strategic thinking with hands-on execution.

Conditions

Location: San Francisco or New York City.

The company is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic.

Background checks follow applicable law, and candidates with arrest or conviction records are considered in line with local fair chance laws. Certain roles in unincorporated Los Angeles County carry duties tied to the protection of company hardware, return of equipment, and confidentiality, and may also require access to secure systems.

Benefits

• Relocation benefits for new employees.