Free Tool

Stop guessing on fit.
Start reading signal alignment.

A resume tells you where someone has been. A job description tells you what a role needs. The RED Signal Match tells you whether the capability signals in both actually align — and what the conversation should focus on.

Paste a resume and a job description. Get a signal alignment score, a per-capability breakdown, and a diagnostic narrative in seconds.

What it measures
Capability signal alignment across all five RED signals
What it produces
Score + per-signal breakdown + conversation diagnostic
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RED Signal Capability Model™
Five signals evaluated in every match Judgment Ownership Adaptability Learning Agility Systems Thinking

See a Signal Match in action

A senior platform engineering candidate evaluated against a Director-level AI infrastructure role. Same inputs a hiring team would use — resume on the left, job description on the right — and the signal alignment analysis below.

Illustrative Example  ·  Jordan M. Reeves vs. Director, AI Infrastructure  ·  Composite Role
Resume — Candidate Traditional
Jordan M. Reeves
San Francisco, CA  ·  14 years experience
Senior Director, Platform Engineering
Meridian Technologies · 2020–Present
  • Led 45-person engineering organization across platform, infrastructure, and SRE
  • Managed $28M annual infrastructure budget across AWS and GCP
  • Reduced infrastructure costs 34% through optimization initiatives
  • Rebuilt orchestration layer on Kubernetes maintaining 99.97% availability
  • Supported 3x user growth through platform architecture decisions
Director, Infrastructure Engineering
Cascade Systems · 2017–2020
  • Led cloud migration for 22-person team across 3 time zones
  • Compressed deployment cycles from 3 weeks to 2 days
Education

B.S. Computer Science, UT Austin, 2011

Skills

AWS · GCP · Kubernetes · Terraform · Python · Go · SRE · CI/CD

Job Description — Role Role
Director, AI Infrastructure & Platform Engineering
Enterprise Technology Company · Senior Leadership
What this role demands
  • Judgment under ambiguity — architectural decisions when requirements are incomplete
  • Ownership across the full system — from compute through observability, not a slice
  • Influence without authority — hyperscaler and cross-functional alignment
  • Adaptability at the frontier — new protocols and architectures in real time
  • Systems thinking at scale — decisions that compound across the entire platform
What you bring
  • Track record of architectural leadership on large-scale AI or ML infrastructure
  • Deep knowledge of distributed systems, Kubernetes, cloud-native tooling
  • Experience managing significant infrastructure budgets and board-level reporting
  • GPU compute, InfiniBand networking, PyTorch/JAX at training scale a plus
Compensation

$310,000 – $420,000 base · Equity · Full benefits

Signal Match Results Illustrative output
74
/ 100
Good alignment with targeted gaps
Strong Ownership and Systems Thinking evidence. Judgment and Learning Agility signals present but require deeper exploration in the AI-specific context this role demands.
Judgment
68
Ownership
85
Adaptability
72
Learning Agility
61
Systems Thinking
82
What the conversation should be about

Jordan's Ownership signal is the strongest in the profile — the pattern of inheriting broken systems and choosing not to manage around them is well-evidenced across all three roles. The Kubernetes rebuild at Meridian while maintaining 99.97% availability is exactly the kind of high-stakes, irreversible architectural decision this role requires. That signal is clear.

The gap worth exploring is the AI-specific depth this role demands. Jordan's infrastructure experience is enterprise-grade, but the role requires someone operating at the frontier of GPU compute, distributed training, and ML-specific platform design. The conversation should probe: has Jordan operated in environments where the infrastructure directly shapes model capability, or has the work been more general-purpose cloud and platform engineering?

Learning Agility is the signal to test most rigorously. The 61 score reflects that the resume shows Jordan learning well within known domains — but this role requires learning in motion at a technical frontier that changes faster than most planning cycles. The hiring conversation should surface a specific example of Jordan absorbing a genuinely unfamiliar technical paradigm under time pressure and applying it in production.

This is what the free tool produces. The full Signal Match Report — available through a RED engagement — maps every signal gap, names the specific evaluation questions to ask, and builds the complete interview architecture.
Run Your Signal Match — Free Paste any resume and job description. Results in seconds.

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Paste a resume and a job description to begin

The Signal Match evaluates capability signal alignment across all five RED signals — surfacing where the candidate and the role connect, where gaps exist, and what the hiring conversation should actually focus on.

Resume Candidate
Job Description Role

What the Signal Match actually does

The match isn't a keyword comparison. It's a capability signal evaluation — analyzing what the candidate demonstrates against what the role actually demands across all five RED signals.

01

Extracts candidate signals

Reads the resume for evidence of each RED signal — Judgment, Ownership, Adaptability, Learning Agility, Systems Thinking — based on what the candidate has actually demonstrated.

02

Extracts role demands

Reads the job description for the capability signals the role actually requires — explicit or implied — based on the complexity and context of the work described.

03

Scores signal alignment

Compares the two signal profiles across all five capabilities and produces a score for each — showing where candidate and role connect and where gaps exist.

04

Names the conversation

Produces a diagnostic narrative about what the hiring conversation should actually focus on — not a pass/fail verdict, but a framework for a meaningful evaluation.

05

Works both ways

Candidates use it to evaluate role fit before applying. Hiring teams use it to prepare for interviews. Both get the same signal intelligence from the same analysis.

06

Points toward the report

The free tool surfaces the signal pattern. The full Signal Match Report — available through a RED engagement — maps every gap, names the questions, and builds the evaluation architecture.

The Signal Match is just the beginning.

The free tool shows you where capability signals align and where they don't. The RED Talent Intelligence Diagnostic™ examines why — and builds the evaluation architecture to fix it systematically across your entire hiring process.

For growing organizations ready to stop guessing on fit and start building a system that consistently surfaces the right people.