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From 23 hours of screening to a ranked shortlist in 2 minutes.

Paste the JD. Upload the resumes. Get a ranked shortlist with evidence — in under 2 minutes.

For recruiting agencies · in-house talent teams · independent recruiters

~90 hrssaved per month at 30 reqs — roughly $4,500 at a $50/hr loaded rate.

No credit card · Cancel anytime

5.0 on G2· Verified reviewSee pricing →

Works alongside your ATS — no integration, no API keys, no migration

+ any ATS

See it work

Paste, extract, rank — no signup required

The full flow, replayed here. Tap any stage, or let it play.

1 · Paste your JD

Job description

Senior Technical Recruiter — SaaS Growth
Location: Remote (US)
 
What you'll do:
• Own full-cycle recruiting for engineering + product roles (Series B/C SaaS)
• Partner with hiring managers to build calibrated pipelines
• Manage 8–12 reqs simultaneously across mid-senior levels
• Build talent brand, referral loops, and outbound sourcing cadence
 
Requirements:
• 5+ years technical recruiting experience
• Track record closing senior engineers at venture-backed startups
• Proficient with Greenhouse or Lever
• Comfortable with data-driven pipeline reporting

Inside a ranking

Open any candidate. See the full diagnostic.

Qualification checklist with evidence quotes, interview transcript analysis, keyword coverage. Every ranking has receipts.

Jordan Mills91 · Strong MatchSample output
Interview Transcript
88/ 100
Strong Match
Technical interview

Jordan Mills identified as candidate — speaks first and consistently refers to personal ownership of infrastructure described on the resume

Demonstrated SkillsSkills from the job description that the candidate actively backed up with specific examples during the interview.

  • Walked through a real multi-region EKS outage with clear ownership of the recovery — credible and specific, matches resume claims
  • Articulated CI/CD architecture decisions with reasoning on trade-offs; referenced the 400-engineer GitHub Actions pipeline directly
  • Demonstrated working knowledge of AWS cost optimization beyond surface-level answers — gave specific numbers from a previous cost-reduction initiative

Gaps AddressedResume weaknesses or missing areas that the candidate clarified or provided new context for during the interview.

  • Team leadership gap from resume analysis partially resolved — candidate has mentored two junior engineers and led incident response, though no formal direct reports yet

Unsupported ClaimsResume strengths the candidate couldn't back up, contradicted, or walked back when questioned during the interview.

  • Resume mentions 'chaos engineering familiarity' but candidate could not name a specific tool or describe a real fault injection exercise when asked directly

Notable ResponsesStandout moments from the interview — specific answers that were particularly strong, revealing, or memorable.

1.

When pushed on scaling beyond current team size, gave a thoughtful answer about delegation patterns and hiring bar — signals leadership readiness

2.

Proactively flagged a limitation in their CloudFormation knowledge without being asked — honesty is a good sign

CommunicationHow clearly and effectively the candidate communicated — structure, conciseness, and command of language.

Concise and technically precise. Answers stayed on-topic without prompting. No rambling, no over-explaining. Strong communicator for a senior IC.

Overall AssessmentOverall evaluation tying interview performance to role fit, referencing specific things the candidate said.

Resume score holds up under interview scrutiny. The chaos engineering gap is confirmed but candidate is self-aware about it. The leadership gap is smaller than the resume suggested. Recommend advancing to the team-fit round.

Resume Analysis
91±5/ 100
Strong Match
YearsexceedsLevelalignedIndustrysame industry

Seven years of dedicated DevOps experience across fintech infrastructure, with direct Kubernetes cluster management and CI/CD pipeline ownership at scale. The strongest alignment is in AWS and Terraform — the gap is in chaos engineering practices the JD lists as preferred.

Strengths

  • Kubernetes at Scalehigh
    "Manages 30+ EKS clusters across 4 AWS regions" maps directly to the JD's multi-region cluster requirement.
  • CI/CD Pipeline Ownershiphigh
    "Built GitHub Actions pipelines supporting 400+ engineers" — the JD asks for 500+, but the architecture transfers.

Gaps

  • No Team Lead Experiencedealbreaker
    The JD requires managing a team of 3–5 engineers. The resume shows IC work only — no direct reports or people management mentioned.
  • No Chaos Engineeringsignificant
    The JD lists Gremlin or Litmus as preferred. No mention of chaos practices anywhere on the resume.
  • CloudFormation Gapminor
    The JD lists CloudFormation alongside Terraform, but the candidate's IaC experience is Terraform-only.

Keywords

AWS Kubernetes Terraform CI/CD Chaos Engineering

Experience Alignment

Seven years exceeds the five-year minimum. Staff-level scope aligns with the senior IC role. Fintech infrastructure background is a direct match for the industry context.

Overall Assessment

Strong shortlist candidate. The Kubernetes and CI/CD depth directly answers the core of the JD. Chaos engineering is a preference, not a requirement — worth probing in the technical screen rather than screening out.

AI-generated assessment — not a professional evaluation or predictor of hiring outcomes.

Features

Built to defend your shortlist

Every feature is designed so you can answer the question "why is this candidate at the top?" in one sentence — with evidence.

Evidence-backed fit scores

Every 0–100 fit score is backed by quoted evidence from the resume — so you can justify every rank to a hiring manager.

MATCH / PARTIAL / MISS checklist

A qualification checklist per requirement. Not a black-box number — a defensible breakdown you can walk anyone through.

JD calibration before scoring

Review and adjust the AI-extracted requirements before any resume is processed. Promote, demote, remove, or add criteria to match exactly what you're hiring for.

Interview transcript analysis

Upload interview recordings for evidence-based evaluation. See who actually demonstrated their resume claims — and flag unsupported claims automatically.

Privacy by default

End-to-end encryption at rest. No training on your data. Sessions expire automatically. Your candidate pool stays yours. CSV + PDF export included on every plan.

All rankings are AI-generated decision-support. Final hiring decisions should always involve qualified human review.

The honest comparison

Why not just use LinkedIn Recruiter or your ATS?

You can. Here's what you give up, and what you get. No hand-waving — side-by-side capabilities.

CapabilityResume AutopsyLinkedIn RecruiterBuilt-in ATS screeningManual review
Setup time0 min1–2 hoursDaysOngoing
Ranked shortlist for 250 resumes< 2 minHoursHoursDays
Evidence quote per requirementIf you write it
MATCH / PARTIAL / MISS per JD requirement
Calibrate requirements before scoringLimitedN/A
Interview transcript analysisAdd-on
Works alongside your ATSLimited
CSV + PDF export includedPaid add-onVariesManual
No candidate data trainingUnclearVariesN/A
No per-seat pricing or lock-inN/A

Comparison based on publicly documented capabilities as of April 2026. Competitor offerings vary by tier and plan.

Looking for a specific alternative? See all comparisons →

How it works

From job description to ranked shortlist in 3 steps

No integration, no API keys, no CSV templates. Paste a JD, upload resumes, get ranked results.

01

Paste your job description. Optionally review and adjust the AI-extracted requirements before any resume is processed — promote, demote, or add criteria to match exactly what you're hiring for.

02

Upload your candidate pool of resumes. Every candidate is processed in parallel.

03

Get a ranked list with fit scores, match verdicts, qualification checklists, and evidence quotes — in under 2 minutes on average. Interview transcript analysis and CSV + PDF export included.

Why we built this

Every recruiter we know spent the first 60 minutes of every req skimming the same resumes everyone else had already skimmed. Not reading — skimming. Looking for the one signal that would let them move on to the next.

We built Resume Autopsy so that 60 minutes becomes 2. Not AI that makes hiring decisions — AI that shows its work, so every shortlist you present is one you can defend line by line. Evidence quotes. Match / partial / miss per requirement. The same questions a hiring manager will ask you, answered before they're asked.

The Resume Autopsy teamBuilt for recruiters, by people who've been in their seats

What recruiters say

“Finally, an AI screener that explains itself”

A verified 5-star review from a recruiter on G2 — the world's most trusted B2B software review platform.

5.0 on G2· Verified Review

“Finally, an AI Screener That Actually Explains Its Logic”

Most AI screening tools give a 'match score' without explaining why, which makes it hard to trust the results or explain them to a hiring manager. This tool provides a transparent Qualification Checklist for every candidate — it identifies exactly where someone meets, partially meets, or misses a requirement. This data-driven approach gives me much more confidence when presenting a shortlist to my team.

G2

Verified User in Computer & Network Security

Small Business · April 2026

View on G2 →

Pricing

Transparent pricing. Cancel anytime.

Start free with no credit card. Upgrade when you're ready. No per-seat fees, no annual contracts, no sales calls.

Encrypted at restNo training on your dataSessions auto-expire

Try it free first — 1 session, 3 candidates, no card required.

Free Trial

Free

3 candidates / session

1 session lifetime

Best forTrying it on one real req before committing

Evidence-backed fit scores

Qualification checklist (MATCH/PARTIAL/MISS)

PDF report

Interview transcript analysis

Starter

$29/mo

8 candidates / session

15 sessions / month

Best forSolo recruiters running 1–3 reqs per month

Evidence-backed fit scores

Qualification checklist (MATCH/PARTIAL/MISS)

PDF reports + CSV export

Interview transcript analysis

Candidate notes & status tracking

Most Popular

Pro

$59/mo

15 candidates / session

30 sessions / month

Best forAgencies and in-house teams running 5+ reqs per month

Everything in Starter

PDF reports + CSV export

Interview transcript analysis

Candidate notes & status tracking

Priority processing

All plans — including the free trial — include qualification checklists, PDF reports, interview transcript analysis, and CSV export. Paid plans cancel anytime.

Cancel anytime. No lock-in. No sales call required.

FAQ

Frequently asked questions

No. Resume Autopsy does not train on your uploaded resumes, job descriptions, or candidate data. All third-party AI providers we use are contractually bound not to train on your content. Data is encrypted at rest and sessions expire automatically.

Resume Autopsy runs on a production large language model configured for deterministic, repeatable output — the same candidate scored twice returns the same result. Accuracy depends heavily on how clearly your job description defines requirements, which is why the optional calibration step exists: you review and adjust the extracted requirements before any resume is scored. When the AI is uncertain, it marks a requirement as PARTIAL rather than forcing a binary result. Every score is backed by evidence quotes so you can verify the reasoning. All rankings should be reviewed by a qualified recruiter before making hiring decisions.

Resume Autopsy scores candidates solely on their match to the requirements in your job description — not on demographics, age, name, or any protected characteristic. We do not perform bias scoring or demographic inference. All hiring decisions should involve qualified human reviewers; AI analysis is a decision-support tool, not a replacement for human judgment.

SOC 2 Type II audit is scheduled for H2 2026. Today, all candidate data is encrypted at rest on SOC 2 Type II-compliant cloud infrastructure, and never used to train AI models. For security questionnaires and enterprise agreements, email support@resumeautopsy.com.

No. Resume Autopsy sits between your ATS and your shortlist — it doesn't replace existing tools. Use Greenhouse, Lever, Bullhorn, or whatever you already use to collect applications. Upload your candidate pool to Resume Autopsy, get every resume scored and ranked against your JD, then bring the results back to your team. No integration or migration required.

Ranking sessions expire automatically regardless of your plan status — no manual deletion required. Your data is encrypted at rest and is never used to train AI models. On cancellation, your account reverts to the free trial tier and you retain access to view unexpired sessions. We do not sell or share your candidate data with third parties.

Resume Autopsy extracts the key requirements from your job description — which you can review and customize before scoring starts. It then analyzes each resume against those requirements, generating a fit score (0–100), a MATCH / PARTIAL / MISS checklist for each requirement with evidence quotes, and a match verdict: Strong Match, Good Match, Weak Match, or Mismatch. Every ranking is backed by evidence from the resume, not a black-box score.

Simple monthly pricing. Cancel anytime. No annual lock-in — we want you to stay because the product works. If your procurement requires annual billing, multi-seat commitments, or purchase orders, reach out to support@resumeautopsy.com and we'll structure something that fits.

Multi-seat team accounts are on the Q2 2026 roadmap, alongside role-based access and audit logs. Today each account is single-seat — if team usage is a blocker for your rollout, tell us at support@resumeautopsy.com so we can prioritize accordingly.

Monthly plans bill via card or ACH. For invoice-based procurement, custom security reviews, or longer-term commitments, email support@resumeautopsy.com — we respond within one business day.

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