Hunt the right talent.
Not just inbound.
Three interlocking systems work together to make sure every candidate you see is the right fit, is authentic, and arrives with everything your team needs to make a fast decision.
Every application. One complete package.
Not just a resume. A complete intelligence package — match score, trust score, verified skills, and full work history — compiled into a structured PDF and attached to every application automatically.
JobMinglr · Candidate Dossier
Marcus Chen
Senior Software Engineer · San Francisco, CA · marcus.chen@gmail.com
Applied to
Senior Software Engineer
Acme Corp · May 18, 2026
Match Score
Role alignment
Trust Score
Verified · High
Flags
Professional Summary
Senior full-stack engineer with 8 years of experience building scalable payment infrastructure and developer-facing APIs at high-growth fintech companies. Strong background in distributed systems, TypeScript, and Go with a track record of leading cross-functional teams through 0-to-1 product launches.
Skills
Experience
Senior Software Engineer · Brex
03/2022 – Present
- ·Led redesign of card transaction processing pipeline handling $2B+ monthly volume
- ·Reduced API p99 latency by 40% through query optimization and Redis caching layer
- ·Mentored a team of 4 engineers across two product squads
Software Engineer · Plaid
06/2019 – 02/2022
- ·Built and maintained OAuth 2.0 integrations with 200+ financial institutions
- ·Shipped Link SDK improvements that increased conversion rate by 12%
Junior Software Engineer · Twilio
07/2017 – 05/2019
- ·Developed internal tooling for SMS delivery monitoring and alerting
- ·Contributed to open-source SDKs with 2,000+ GitHub stars
Education
Bachelor's in Computer Science
UC Berkeley · 2017
Certifications
AWS Solutions Architect
Amazon · 01/2024
Certified Kubernetes Admin
CNCF · 06/2023
Marcus_Chen_382410.pdf · Auto-attached to application · Generated by JobMinglr
The Matching Algorithm
When a candidate uploads their resume, JobMinglr converts it into a structured, weighted skills profile that gets scored against every open role on the platform. A preference layer then filters out roles that don't align with what the candidate is actually looking for — so only genuinely compatible candidates surface in your pipeline.
Weighted Skills
Resumes are parsed and converted into weighted skills profiles. Core competencies score higher; adjacent or transferable skills are weighted proportionally.
Office Preference
Candidates who want remote won't surface on in-office roles. Preference alignment is enforced before they ever reach your pipeline.
Salary Alignment
Candidates set their compensation expectations. If your range doesn't overlap, they don't appear — saving both sides' time.
Location & Market
Candidates targeting specific cities or regions are matched to roles in those markets. Irrelevant geographies are filtered out.
Role Targeting
Candidates indicate the job titles they're pursuing. The algorithm maps those targets to your open positions and boosts the most aligned candidates.
Candidates per role
Only candidates who clear every threshold reach your pipeline — not the usual 500.
The Candidate Trust Score Engine
A dedicated verification and scoring platform that evaluates every job seeker profile using multiple behavioral and verification signals — producing a standardized trust score from 0 to 100.
That score travels with every candidate application, match score, and structured resume your team receives — giving recruiters a complete picture before scheduling a single call.
Problems the Trust Score eliminates
Built to address the issues that make ATS inboxes unusable.
Displayed alongside every application
The trust score is shown to recruiters alongside the candidate's match score and structured resume — so your team always knows who they're looking at.
Bias-free by design.
JobMinglr's matching algorithm scores candidates exclusively on professional fit — skills, experience, preferences, and availability.
Every factor that has no bearing on a candidate's ability to do the job is deliberately excluded. The Trust Score Engine evaluates behavioral and verification signals only — never personal characteristics. Every candidate you see is evaluated on the same objective criteria.
Never factored in — ever.
Not collected, stored, or used in any part of our matching or scoring systems.
Hunt Mode — your hiring team, in the app.
Don't wait for inbound. Hunt Mode gives employers searchable access to the pre-matched, trust-scored candidate pool — post jobs, browse candidates, and chat with matches directly in the app.
Browse the candidate pool
Hunter Mode gives you searchable access to the pool of job seekers who match your open roles. You don't wait for inbound — you go find them.
Post jobs directly in the app
Create and publish open positions from within the app. They're instantly matched against the candidate pool and surfaced to qualified job seekers.
Chat with applicants in-app
When there's a mutual match, you're connected directly. Message candidates, schedule interviews, and move fast — all without leaving the platform.
Trust scores on every candidate
Each applicant arrives with a 0–100 trust score covering identity verification, behavioral signals, and profile completeness. Know who you're looking at before the first call.
Your team never logs into JobMinglr.
Connect your Greenhouse or Pinpoint account and qualified, trust-scored candidates flow directly into your existing pipeline. No new tool for your team to learn.
Greenhouse
Connect your Greenhouse job board in minutes. Candidates match and apply through JobMinglr — your team sees them in Greenhouse as normal applicants, complete with match score and trust score.
Connect GreenhousePinpoint
Pinpoint ATS users can connect their job board with a single API key. Matched candidates flow into your Pinpoint pipeline automatically.
Connect PinpointReady to start hiring smarter?
Connect your ATS or download the app to sign up as a recruiter and activate Hunter Mode.