engineering
Posted 2 days agoSenior Value Engineer
at Hightouch
GlobalRemote
Responsibilities
- Lead Business Value Assessments end-to-end for Enterprise prospects and customers, from value discovery through ROI/TCO modeling to executive readout.
- Build directional business cases that earn the right to a CFO conversation, then sharpen them to defensible models with customer data.
- Present findings to economic buyers and committees: CFO, CMO, CDO, VP Marketing, and equivalent.
- Design and build the frameworks, playbooks, calculators, and assets that make value selling repeatable across the GTM org. Not just for VE, but for AEs and SEs to use on their own deals.
- Track record of building business cases that closed or expanded Enterprise SaaS deals at $500K+ ARR.
- Builder mentality. You want to design how a function operates, not just execute against someone else's playbook. You see a gap in process, tooling, or enablement and you go build the fix.
- Built repeatable frameworks, calculators, or playbooks adopted by a broader sales org. Hands-on
Requirements
- Teams move faster, stay on brand, and get AI marketing that actually works.
- Named a Leader in the 2026 Gartner® Magic Quadrant™ for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Cars.com, Ramp, and PetSmart.
- At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses.
- Equally important, you will help build the frameworks, playbooks, and operating motion that bring value selling to life across the GTM org.
- Contribute to the AI and agentic capabilities we are building to scale value selling across the field.
- Strong financial modeling fundamentals: ROI, TCO, NPV, IRR, sensitivity and scenario analysis.
- Pragmatic. You know when directional is enough to move a deal and when defensible is required to close one.
- AI-forward and fluent.
- You actively use AI tools in your daily work and have a point of view on where AI is reshaping value selling.
- experience in CDP, customer data activation, MarTech, AdTech, or data warehousing. •
- Experience helping stand up or scale a VE function at an early- or growth-stage SaaS company.