Value Engineering Lead

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: 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. 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 deal ... (truncated, view full listing at source)