For hiring teams

Post a role.Meet 3 to 5 vetted finalists.

Maya turns your role into a rubric, invites the candidates who fit, and scores their work against a model-generated baseline for the same problem. You spend your time on the few who earned it.

You brief the role. We source and invite. You get a ranked shortlist.

Not a job board. Not a marketplace.

You post a role

Senior Product Manager

1 opening · fintech · Series B · Bangalore

Hiring for a confidential client
253
Scored
eligible pool
19
Invited
above the bar
6
Case study
completed
4
Finalists
delivered

Your shortlist

4 finalists
1ARAnanya R.88 / 81+7
2VSVikram S.84 / 81+3
3MNMeera N.82 / 81+1

Scored against a model-generated baseline

How it works

One conversation to brief. A ranked shortlist to review.

01

You brief the role

You describe the role to Maya in one conversation. She turns it into a clear definition and a vetting rubric, and confirms both before it goes live.

Tell me about the role you're hiring for.
Senior PM · fintech · Series B · Bangalore

Vetting rubric

Product senseExecutionAnalytical depthCommunication

Above the bar

Invited
ARAnanya R.Invited
VSVikram S.Invited
RMRahul M.Invited

19 invited of 253 scored. No inbound to sift.

02

We source and invite

We find product and founder's office candidates for your role and invite the ones who fit. You do not sift through inbound.

ARAnanya R.
88 / 81
Product sense92
Execution86
Analytical depth84

Grey mark is the baseline.

03

Candidates do real work

Each candidate completes a case study, scored against a model-generated baseline for the same problem. Judged on thinking, not pedigree.

Your shortlist

Ranked
1ARAnanya R.88
2VSVikram S.84
3MNMeera N.82

04

You get 3 to 5 finalists

A ranked shortlist, strongest first, with each candidate's skill breakdown and the reasoning behind their score. You review the finalists and decide who to take forward.

Measured so far: across 7 mandates, shortlists arrived in about 33 working hours, against a 48 working hour commitment.

Assessed and scored, not just sourced.

Anyone can send you a stack of CVs. We send you people whose work we measured, scored against a baseline our own model produces for the same case.

Just sourced

CV
CV
CV

A stack of resumes. No signal.

Assessed and scored

88 / 81
Product sense92
Execution86

Measured work against a baseline.

Prefer to talk first?

Tell us what you are hiring for and we will take it from there. Or start with Maya now.

Post a role.Meet 3 to 5 vetted finalists.

Self-serve signup. New accounts are reviewed before they go live.