Strict matching · Verified employers · Free

Fewer, better job matches.

See only roles that meet all your must-haves, each with a plain-language reason.

  • Every must-have is checked before a role is scored.
  • Salaries only when the employer publishes them.
  • Every score shows how it was built, factor by factor.
Illustrative exampleFictional employer and profile, not a live job
Employer’s own posting · Greenhouse · checked 2 hours ago

Senior Product Manager, Payments

Northwind Analytics · Remote, US · $140k–$205k/yr

77Match score
Why it’s a match
  • Title matches your target “Senior Product Manager”
  • Remote (stated in the employer’s job data)
  • Mentions 2 of your skills: SQL, Experimentation
  • Asks for 6+ years; you have 8
  • Senior role, like your target
  • Published salary range reaches your minimum
Check before applying
  • Only the upper part of the published range meets your minimum
Filtered out for this profile
  • Product Designer, Growth: a different role
  • Senior Product Manager: hybrid in Chicago
  • Product Manager: pay not published
How it works

How a role reaches your list

Example How the list narrows after each check, for one fictional profile
  1. The employer is verifiedIts official careers page links to the job board we read.
  2. The posting is liveRe-checked within 72 hours.
  3. The title is your roleA Product Designer isn’t a Product Manager.
  4. Your work arrangement and cityRemote-only means remote only.
  5. Your salary floorA range’s top must reach it; unpublished pay only if allowed.
  6. Your employment typePlus sponsorship and clearance, if set.

Miss one check and you never see the role. Matches are then ranked, each with its reasons: see how matching works.

What you get

Free to use, with optional paid help

Free today

See an example of a resume review and a practice question.

Optional, paid

  • Assisted applications: from $39 for 10 credits ($3.90 each). Checkout isn’t open yet.
  • Application inbox for employer replies (not available yet)

See pricing.

Sample output

Sample · fictional data analyst

From a resume review

Quantify your reporting work. “Built weekly dashboards for the sales team” says what you did, not what changed. If you know it, add the result: who used them, or which decision they sped up.

Sample · fictional data analyst

From interview practice

Question: “Tell me about a time your analysis changed a decision. How did you check your numbers?”

Coaching note: Name the decision and who made it, say in one sentence how you validated the data, then give the outcome.

Best today for tech-company roles, in the US or remote.

November 2026: just launched; no outcome data yet.

See which live roles pass your checks