Resumes, scored against your rubric

Define what matters. Joel scores every application against it, and shows you the strongest matches first.

Shortlist

Sr. Forward Deployed Engineer

14 of 73 applicants
Maya Reid

Maya Reid

Generative AI Engineer · Loomwave Labs

92/100
Daniel Hart

Daniel Hart

Lead Forward Deployed Engineer · Northstar

89/100
Priya Shah

Priya Shah

ML Engineer · Ardent Robotics

87/100
Tomas Klein

Tomas Klein

AI/ML Engineer · Halford Aviation

84/100
Anita Mendez

Anita Mendez

Senior Engineer · Stratus AI

78/100

Trusted by talent teams at

Tricon Residential
pitt&sherry
Multiverse Computing
pitt&sherry
Movember
AMS
Customer
PFEC Global
GoSourcing

Translate hiring criteria into a resume rubric

Your must-haves and nice-to-haves become a consistent rubric every application is measured against.

AI Resume Analysis

Configure how AI evaluates resumes for this role

Requirements(3)

5+ years software engineering experience

Must Have

Bachelor's in CS or related field

Strongly Preferred

Production experience with LLMs

Nice to Have

Screen every resume the moment it arrives

Continuous evaluation surfaces strong candidates early, no application gets buried in volume.

Recruiter reviewing the shortlist
Application queue Auto-screening
Ranked shortlist14
Needs review22
Did not meet knockout37

Clear reasons, not opaque rankings

Criteria-level fit breakdowns recruiters can trust, challenge, and act on.

Maya Reid

Maya Reid

Sr. Forward Deployed Engineer

92/100
Strong fit

5+ years software engineering

6.2 years across Loomwave Labs and Evolve Robot Lab

Bachelor's in CS or related

B.Sc. Computer Science · University of Sydney

Production experience with LLMs

Shipped AI Agents and LangChain pipelines at scale

Forward-deployed / customer-facing time

Resume shows internal engineering only

Move from application pile to shortlist faster

  • Screen every applicant immediately after they apply
  • Reduce manual resume review time by hours per role
  • Use role-specific criteria instead of generic keyword matching
  • Improve shortlist consistency across recruiters and offices
  • Identify strong candidates earlier in the funnel
  • Hand off top candidates directly into screening workflows

FAQs

How is Resume Screens different from keyword matching?

Resume Screens uses a configurable role rubric so candidates are evaluated against your hiring criteria, not just keyword presence. That produces better-ranked shortlists and clearer reasoning.

Can recruiters still review candidates manually?

Yes. Resume Screens is designed to prioritize and explain decisions, not remove recruiter judgment. Teams can review, override, and tune thresholds as needed.

Does it support knockout requirements?

Yes. You can define must-have criteria and route candidates who miss them into a separate review or auto-filter path depending on your process.

Can this feed into screening interviews?

Yes. Resume Screens is especially effective when paired with AI Screening or Workflows so high-fit candidates move into the next stage immediately.

Ready to screen resumes in minutes, not days?

Use AI resume screens to surface better candidates earlier.

Explore AI Screening