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
Weâre 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 Youâll 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 âwhat do you want to buildâ â 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
âgood vs badâ 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 â 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 Weâre Looking For
Background
5â10+ 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 builderâyou shape how deals are won
You care about speed + pragmatism, not perfect analysis
You think in systems and repeatability, not one-off work
Youâre 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 â 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
Unframeâs 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.If youâre a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact â weâd love to meet you.
Apply Now
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
Weâre 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 Youâll 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 âwhat do you want to buildâ â 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
âgood vs badâ 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 â 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 Weâre Looking For
Background
5â10+ 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 builderâyou shape how deals are won
You care about speed + pragmatism, not perfect analysis
You think in systems and repeatability, not one-off work
Youâre 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 â 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
Unframeâs 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.If youâre a strong, independent builder who thrives on ownership, cares deeply about quality, and wants to have a real impact â weâd love to meet you.
Apply Now