Value Engineering Lead

Unframe•Chicago, IL

1d•Remote

About The Position

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. We’re hiring our first Value Engineering Lead to define and scale how Unframe: Identifies the right use cases Quantifies and proves business value 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.

Requirements

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
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
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

Responsibilities

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
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
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
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
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
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