Job Search Intelligence

See who's already
in the seat
you want.

HiredLens maps the real backgrounds of people in the role you want at the company you choose.

Analyze a companySee how it works
5–10
Profiles per analysis
Ranked
Profile gap analysis
Pay once
Credits never expire
15+
Showcase sample reports
How it works

From company name to a clearer picture — in three steps

Browse pre-built sample reports for free, or sign in and buy credits when you're ready for a personalized company + role analysis with your LinkedIn profile.

1
Explore sample reports

Open the gallery of showcase Role Patterns — real companies and roles, no account required. Get a feel for the output before you spend a credit.

SAMPLE
2
Buy credits

Create an account and purchase a one-time credit pack. Credits stack, never expire, and each run covers full Role Patterns plus gap analysis when you add your profile.

CREDITS — FROM $49
3
Run a personalized analysis

Enter the company and role you want. We build patterns from public profiles in that title, then compare your LinkedIn profile with ranked, copyable suggestions.

CREDITS — FROM $49
Sample outputSAMPLE

Role Patterns

Role Patterns summarize people in that title at that company — typical backgrounds, where they came from, and the language patterns that show up across their public profiles.

Illustrative only. The numbers and quotes below are invented for this example. A real lookup uses live public data for your chosen company and role, and results will differ.

Stripe · Senior Product Manager · 20 profiles analysed

8.5
Avg yrs experience
2.4
Prior companies
42%
Computer software
Most common prior industry
38%
Business administration
Most common education focus

Where they came from

Google
35%
Amazon
22%
PayPal
18%
Other
25%

Common skills

PaymentsAPI productsCross-functional leadershipSQLGo-to-market

How they write about themselves

Headline and About section

42% of profiles
Mission-first headline

"Payments infrastructure for the internet"

35% of profiles
Dense skills-forward About

"APIs · data · cross-functional leadership · 0→1"

How they write about their work

Experience role summaries

38% of profiles
Quantified shipping narrative

"Launched checkout used by 3M merchants…"

31% of profiles
Stakeholder + scope framing

"Partnered with eng and legal to ship…"

What you learn from Role Patterns

Most job descriptions don't tell you what the team actually looks like. Role Patterns do — and that context changes how you present yourself.

Prior industries cluster in predictable places — You see where this cohort actually came from — not generic 'industry' labels from a job post. That helps you decide how to frame a different sector as relevant.
38% use infrastructure & scale language — "I built X for Y customers" is the dominant framing for this team. Knowing the register they use helps you write in a way that feels familiar to this audience.
Education backgrounds are more diverse than you might guess — Shared education themes show up as patterns — useful for deciding what to foreground when your path is non-traditional.
Prior employers skew large-company, late-stage — Strong candidates from smaller companies do appear. Knowing the field helps you decide how to position earlier-stage experience as depth, not limitation.
Sample outputCREDITS — FROM $49

Gap Analysis

Once you add your LinkedIn URL, HiredLens compares your profile against Role Patterns for that role — and returns a match score with ranked, specific suggestions for how to present your experience more effectively to this audience.

Sample only — not your profile. The match score, strengths, and suggestions below are invented to illustrate what the output looks like. Your real Gap Analysis uses your actual LinkedIn data and the live Role Patterns for your chosen company and role.
62/100
Good candidate match
2 presentation areas to strengthen
Strengths
  • Strong infrastructure framing and API experience are clearly visible on your profile.
  • Your cross-functional track record reads well against the team norms in the cohort patterns.

Suggestions — ordered by impact

HIGH IMPACT
Lead with concrete scale

People in this role frequently anchor their profile in numbers and scope. Specific metrics help hiring managers compare profiles quickly — they are often scanning dozens at once.

68% of profiles open with a quantified result or scope statement

Product manager with experience building checkout and payments products
PM shipping checkout features used by 3M merchants — previously led 0→1 payments product at [Company]
MEDIUM
Surface technical collaboration explicitly

This team skews toward people who can speak credibly about systems and scale. You do not need an engineering degree — but readers should see concrete collaboration with technical teams.

Most profiles name specific technical decisions or architecture work they shaped

Worked closely with engineering on API and infrastructure projects
Partnered with engineering on API architecture for our payments SDK; co-authored specs adopted across 5 squads

Start with sample reports

Browse the showcase gallery — no account required. When you're ready to run your own reports, sign in and buy credits for personalized runs.

Explore samplesBuy credits

Showcase gallery · no card required

$49
Starter · 8 credits
$99
Pro · 20 credits · best value
$149
Power · 35 credits

One-time purchase · credits never expire · no auto-renew