Update on Pin's presence on LinkedIn

From job description to booked interviews.

Pin finds the right candidates, writes to each one, follows up and books the interviews. You decide how much it handles.

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Finds the strongest matches in 850M+ profiles

  • Maya ChenShipped LLM products, 6 yrs
  • Daniel OkaforML infrastructure at a robotics startup
  • Priya RamanBuilt AI search at a Series B startup
  • Alex RiveraLeads evals at an AI research lab
  • Jordan LeeFounding engineer, LLM fine-tuning

Sends personalized emails from your account

Senior AI Engineer role at ByteLogic

Hi Maya, six years shipping LLM products is exactly what our team needs. We're building AI agents like the ones you've launched at Parallel Labs, and the role is hybrid in NYC, close to you. Would you be open to a quick chat this week?

Contacted 40 new candidates for you today.

Takes the next step when candidates reply

  • Maya Chen repliedInterested Booked an intro Thu 2:00 PM
  • Priya Raman repliedAsked about hybrid days. Answered
  • Alex Rivera repliedNot looking right now. Archived

Trusted by 10,000+ recruiters at 2,000+ companies

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Recruiting should be about people. Most of the week isn't.

Sourcing, chasing, sorting, scheduling. Pin takes care of all of it.

Your week today

MonTueWedThuFri
Boolean search
Scroll 300 profiles
Write intro emails
Write more intro emails

Maya Chen

Intro

Follow up ×12
Update the ATS
Inbox triage
Archive the no-thanks
Chase the hiring manager

Priya Raman

Intro

Is it remote? ×9
Find a time for 4 people
Reschedule
Follow up again

Daniel Okafor

Intro

Write the search string again
LinkedIn messages
More follow-ups

Ana Souza

Intro

Sourcing report
Answer the same question
Scheduling back-and-forth
Write Monday's emails

Jordan Park

Intro

Somewhere in there: five candidate calls.

Your week with Pin

MonTueWedThuFri

Add the position

You

Sources matches

Pin

Emails 40 candidates

Pin

Answers replies

Pin

Archives the no-thanks

Pin

Books intros

Pin

Ana Souza

Intro

Jordan Park

Intro

Maya Chen

Intro

Priya Raman

Intro

Daniel Okafor

Intro

You choose how much of your week Pin takes on.

How Pin works

Every step from open role to interested candidate, done for you or with you.

Brief

Start with a title. Pin fills in the blanks.

Give Pin a role and a company. It researches the company, drafts the profile, and asks the questions a great sourcer would ask.

Have a JD? Paste it, upload it, or import it from your ATS.

Try it yourself. Give Pin your hardest role to fill.

Hi Alex, I can help you build the search for your Senior AI Engineer at ByteLogic. Do you already have a job description I should work from?

Not yet. Just the title for now.

No problem. I looked up ByteLogic: Series C, NYC HQ, building AI agents for customer support. A few quick questions to sharpen the search.

What seniority are you targeting?

Select all that apply

2 of 4
Tell Pin what you need...
Ask Pin to add or change any criteria
AI Engineer New York, hybrid 5–8 years of experience LLMs AI agents Python Evals Crypto Criteria

ByteLogic

AI · Series C · 400 employees · New York

Match

850M+ profiles. Only the ones that fit.

Pin reads every profile the way you would: trajectory, skills, the companies they've built at. Then it tells you why each person matches.

Approve the ones you like, pass on the rest. Need the hiring manager's eyes? Send them a review link.

Try it: approve or decline

Maya Chen

Brooklyn, NY

10FIT SCORE
Criteria

Shipped LLM products? Yes, six years shipping them, two AI agents in production.

Leadership? Yes, tech lead for 4 engineers, ready for a staff-track role.

LLMs & agents – Launched the AI agents behind Parallel Labs' support product.

Python – Python daily; owns the team's eval pipeline.

5–8 years – 6 years of experience.

Current

PSenior ML Engineer at Parallel Labs

Past

HSoftware Engineer at Helio

CBackend Engineer at Cartwheel

Education

CB.S. Computer Science at Cornell

Daniel Okafor

New York, NY

9FIT SCORE
Criteria

Shipped LLM products? Maybe, deep ML infrastructure, newer to LLM applications.

Startup pace? Yes, early engineer at a robotics startup.

LLMs & agents – Built model serving for Kinetic's vision models.

Python – Python and CUDA in production.

5–8 years – 8 years of experience.

Current

KML Infrastructure Lead at Kinetic Robotics

Past

OSenior Engineer at Orbit Systems

LSoftware Engineer at Lumen Labs

Education

NM.S. Computer Science at NYU

Priya Raman

Jersey City, NJ

8FIT SCORE
Criteria

Shipped LLM products? Yes, built AI search at Searchlight, a Series B startup.

Leadership? Maybe, mentors two engineers, no formal lead role yet.

LLMs & agents – Built retrieval and ranking for AI search.

Python – Python services behind Searchlight's search API.

5–8 years – 5 years of experience.

Current

SAI Engineer at Searchlight

Past

FSoftware Engineer at Fieldstone

BData Analyst at Brightwave

Education

GB.S. Computer Science at Georgia Tech

Approved 11

  • Sofia Alvarez9
  • Tom Becker10

Request review

Send

jordan@bytelogic.com

Reviewer can approve or decline shortlisted candidates for 48 hours.

Jordan approved 3 of 4

Outreach

Emails that sound like you, because they're from you.

Pin writes a personal sequence for every approved candidate and sends it from your own Gmail or Outlook, on schedule, until they reply.

Edit anything, or don't. Jump in and take over any conversation, any time.

Maya Chen

Brooklyn, NY

Parallel Labs

Senior ML Engineer

  1. Send Email
  2. Connect on LinkedIn Task
  3. Send Email
  4. Text Message Task
  5. Message on LinkedIn Task

Step 1: Send Email

From alex@yourcompany.com Send Automatically
Subject Senior AI Engineer role at ByteLogic

Hi Maya,

Six years shipping LLM products is exactly what our team needs. We're building AI agents like the ones you've launched at Parallel Labs, and the role is hybrid in NYC, close to you.

Would you be open to a quick chat this week?

Best,
Alex

Pin Suggestions

Mention the team
Maya worked with two ByteLogic engineers at Helio.

Sends Tue 9:12 AM, her time Take over

Replies

Your inbox, pre-sorted. Most of it, already answered.

Pin reads every reply. It archives the no's, answers what it already knows, asks you once on Slack for what it doesn't, and books time with everyone who said yes.

Inbox6 new replies

Slack · Direct message

Pin
3 people asked about equity, each in their own words. How should I answer?

Alex
0.05–0.1%, 4-year vest with a 1-year cliff.

Saved to knowledge base · replied to all 3

Offered times to Maya, Priya and Daniel

Thu 2:00 PMFri 11:00 AMFri 3:30 PM

Answered from your knowledge base

"Hybrid: three days a week in the NYC office."

Archived with a polite thank-you

6 replies. You answered one Slack message.

Booked

They said yes. It's already on your calendar.

Pin offers times you're actually free, handles the back-and-forth, and sends the invite. You show up to the call.

Maya Chen · 11:04 AM

That works for me. How about Thursday at 2pm You are available Thu, Oct 29 at 2:00 PM ?

Pin replied and sent the invite

"Perfect, Maya. You'll get an invite for Thursday at 2:00 PM. Talk then!"

October 2026

This week
Mon 26Tue 27Wed 28Thu 29Fri 30

10 AM

11 AM

12 PM

1 PM

2 PM

3 PM

4 PM

Maya Chen

2:00 PM

Priya Raman

11:00 AM

Daniel Okafor

3:30 PM

Automate as much or as little as you like.

Start hands-on and let Pin take over more as you build trust. Every step has its own switch.

  1. Sourcing Automated
  2. Match approval You approve
  3. Sequences Automated
  4. FAQ replies Automated
  5. Scheduling Suggests times

Hands-On Co-Pilot: Pin finds and ranks candidates and drafts every message. You approve each match, review each email, and book the calls yourself.

Balanced Hybrid: You choose who gets contacted. Pin runs the outreach, answers questions it knows, checks with you on Slack for new ones, and suggests times.

Full Autopilot: Go straight from a job description to interested candidates on your calendar, without doing any of the work in between.

Or mix and match: turn any step on or off in settings.

No position is too big or too small for Pin.

850M+

Candidate resumes

North America & Europe coverage

83%

Match acceptance

Candidates approved into pipelines

“As a small people and talent team, we don't have a ton of time to spend hours sourcing and messaging. Pin has made it possible for us to focus on the people side of things!”
Miles RandleHead of People & Talent at Flip CX

5x

Higher reply rate

Sent from your inbox, across channels

“What I love about Pin is that it takes the critical thinking your brain already does and puts it on steroids. I can let the software handle the strategic sourcing I'd normally have to do on my own.”
Colleen RiccintoFounder & President at Cyber Talent Search

12 hrs

Saved every week

14-day average time-to-fill

“Pin delivered exactly what we needed. Within just two weeks of using the product, we hired both a software engineer and a financial planner. The speed and accuracy were unmatched.”
Fahad HassanCEO & Co-founder at Range

Works with the tools you already use

120+ ATS integrations, your inbox, your calendar, and Slack.

SOC 2 Type 2

Your data and your candidates' data, protected.

  • Greenhouse
  • Lever
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  • iCIMS
  • Jobvite
  • Gmail
  • Outlook
  • Slack
  • Google Calendar
  • Calendly
  • Cal.com
  • Google Meet
  • Zoom

Questions

Plans from $100/mo.
Free plan, no credit card. See pricing

Do emails really come from me?

Yes. Pin sends from your connected Gmail or Outlook account, in your name. Replies land in your inbox and in Pin, so you can read, edit, or take over any conversation at any time.

What if I want to approve everything myself?

Every automation is optional. You can review each candidate, each email, and each reply before anything goes out, and turn on more automation whenever you're ready.

How is Pin different from LinkedIn Recruiter?

LinkedIn Recruiter limits you to one platform. Pin searches 850M+ profiles across dozens of data sources, then handles outreach, follow-ups, and interview scheduling for you.

Do I need a job description?

No. A job title and a company are enough. Pin researches the company, drafts the criteria, and asks the questions it needs to fill in the rest.

Does Pin integrate with my ATS?

Pin integrates with 120+ applicant tracking systems including Greenhouse, Lever, Ashby, Bullhorn, iCIMS, and Jobvite. Candidates, notes, and activity sync automatically.

Is Pin a good fit for recruiting agencies?

Yes. Staffing agencies, boutique firms, and independent recruiters use Pin to run searches and outreach for multiple clients from one account.

Spend your time talking to candidates, not chasing them.

Bring an open role to a 20-minute walkthrough with our team and watch Pin source, draft outreach, and set up your workflow live.

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