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Use cases

Practical workflows for high-volume hiring.

OpenSeat helps Lever teams review applicant overload, build evidence-backed shortlists, and keep candidate context clear.

Early proof point

10 roles

Supported hiring across 10 roles in 4 months.

Framed conservatively: this reflects roles supported by OpenSeat, not a claim that OpenSeat alone caused every hire.
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Until then, the public page uses only the roles-supported metric and avoids invented quotes, company details, or revenue claims.
Applicant overload review

Turn large inbound pools into review lanes.

When one role attracts hundreds or thousands of applications, OpenSeat groups candidates by role fit and review priority so the team can find qualified candidates without opening every resume first.

  • Process thousands of applications in a day
  • Separate review-ready candidates from off-target applications
  • Keep recruiters focused on the candidates most worth a closer look
Triage buckets
Group applicants into review lanes.
Updated
Just now
High signal
18
SWEBackendInfraMLSecurity
Review
42
SWEBackendInfraMLSecurity
Needs review
317
SWEBackendInfraMLSecurity
Evidence-backed shortlists

Make quality candidates available at a glance.

OpenSeat ranks candidates against the role requirements and shows the reasoning behind each recommendation, so recruiters and hiring managers can review the same evidence instead of comparing disconnected opinions.

  • Rank candidates by demonstrated skill and experience fit
  • Show clear rationale tied to resume evidence
  • Create shortlists the team can review, challenge, and align on
Ranked shortlist
Calibrated ranking with reviewable signals.
Pool
Top 3 / 377
#1A. Chen
match 0.91
Strong infra + incident response
#2M. Patel
match 0.88
Relevant stack + leadership
#3J. Rivera
match 0.84
Great depth, weaker domain fit
Candidate summaries

Prepare reviewers with concise candidate context.

OpenSeat turns resume and rubric context into short summaries that help reviewers understand strengths, gaps, and follow-up areas before interviews or team discussions.

  • Summarize experience, strengths, and open questions
  • Keep reviewer prep connected to the hiring rubric
  • Carry AI rationale, notes, scorecards, and workflow states into the candidate record
Explainable rationale
Plain-English “why” with evidence snippets.
Confidence
High
Why this candidate matches
  • Built and operated distributed systems with on-call ownership.
  • Hands-on experience with Postgres, Redis, and containerized deployments.
  • Evidence of security-minded engineering (CSP, secrets hygiene, audits).
Evidence snippet
“Led incident response and built automated rollback tooling; reduced MTTR by 32%…”

See the workflow on your applicant pipeline.

Walk through review lanes, shortlists, summaries, and decision history with your own hiring workflow in mind.