Value Engineering Lead

Location: US (Remote)

About Unframe

Unframe enables enterprises to deploy production-ready AI systems in days, not months, focused on real business outcomes. We partner with organizations to identify high-impact use cases, prove value quickly through POCs, and scale into enterprise-wide AI programs.

Our approach combines modular building blocks, flexible deployment, and a focus on measurable outcomes across:

• Observability (insight from customer & operational data)


• Extraction & Abstraction (structuring unstructured data)


• Automation & Agents (executing workflows)

We are now building a Value Engineering function to sharpen how we identify, quantify, and scale high-value use cases across our go-to-market motion.

The Role

We’re hiring our first Value Engineering Lead to define and scale how Unframe:

1. Identifies the right use cases


2. Quantifies and proves business value


3. Converts POCs into enterprise programs

This is not a traditional ROI modeling role.

You will operate at the intersection of sales, product, and strategy, helping shape deals, train teams, and build the systems that turn value into a repeatable growth engine.

What You’ll Do

1. Shape High-Value Use Cases (Core Responsibility)

• Partner with AEs early in deals to identify and refine the highest-impact use cases


• Guide conversations from “what do you want to build” → where is the measurable value


• Apply structured frameworks to prioritize use cases based on:




• volume, cost, and frequency


• operational friction


• business impact

2. Quantify & Prove Value (Deal Acceleration)

• Translate use cases into clear, defensible business cases


• Define:




• baseline metrics


• expected outcomes


• success criteria for POCs




• Support POCs as proof-of-value exercises, not just technical validation


• Build executive-ready narratives that unlock budget and expansion

3. Train the GTM Team on Value Selling

• Enable AEs and SEs to:




• ask the right questions


• quantify pain early


• position use cases in business terms




• Develop simple, repeatable frameworks (not heavy training decks), such as:




• value discovery questions


• use case qualification criteria


• “good vs bad” use case patterns




• Coach on live deals to reinforce behavior

4. Build the Value Engineering System (Critical)

• Create the infrastructure for value-driven selling, including:




• use case libraries (by industry / function)


• value calculators and lightweight modeling tools


• POC success templates


• business case frameworks




• Standardize how value is:




• identified


• measured


• communicated

5. Drive POC → Expansion Strategy

• Ensure every POC is tied to:




• measurable impact


• a broader expansion narrative




• Help position single use cases as entry points into:




• multi-use-case deployments


• enterprise AI programs

6. Build Feedback Loops Across the Business

• Identify which use cases:




• close fastest


• deliver the most value


• expand most effectively




• Feed insights into:




• sales strategy


• vertical targeting


• product direction

What We’re Looking For

Background

• 5–10+ years in:




• Value Engineering / Value Consulting (e.g., Palantir, Snowflake, Databricks, Celonis), OR


• Strategy / consulting (McKinsey, Bain, BCG, etc.), OR


• RevOps / GTM strategy in a technical product company




• Experience working with enterprise customers on business cases and transformation initiatives

Skillset

• Strong ability to connect technical solutions to business outcomes


• Comfortable working in ambiguity and shaping problems from scratch


• Excellent at structuring and simplifying complex ideas


• Ability to influence both:




• frontline sellers


• executive stakeholders

Mindset Fit (Critical)

• You are not just a model builder—you shape how deals are won


• You care about speed + pragmatism, not perfect analysis


• You think in systems and repeatability, not one-off work


• You’re comfortable being embedded in deals and pushing back on weak use cases

What Success Looks Like (First 6 Months)

• Reps consistently identify higher-value use cases earlier in deals


• POCs are tied to clear, quantified success metrics


• Conversion from POC → paid engagement improves


• A foundational value engineering system is in place:




• playbooks


• templates


• use case library




• Executives in deals clearly understand business impact, not just technology

Why This Role Matters

Unframe’s growth depends on our ability to:

• focus on the right problems


• prove value quickly


• scale from single use cases into enterprise programs

This role is central to making that motion repeatable, scalable, and predictable.