Pin for Tech Companies

AI Recruiting for Tech Companies — Hire Engineers From GitHub, Stack Overflow, and Beyond

Tech recruiting software for engineering, ML, and infrastructure hires. Signal from GitHub, Stack Overflow, patents, and papers — not just LinkedIn. 14-day time-to-fill, 35% fewer interviews. From $100/mo.

Multi-source technical data
35% fewer interviews per hire
4.8/5 on G2
Try For Free
Book a Demo

No credit card · 14-day free trial

850M+
Profiles across LinkedIn, GitHub, Stack Overflow, patents, publications
35%
Fewer interviews per hire (Pin 2026 user survey)
14 days
Average time-to-fill for engineering roles
91%
Of Pin users reduced or eliminated LinkedIn Recruiter spend
4.8 / 5
Rating on G2
How Pin works for tech companies

From job description to signed offer in 14 days

  1. 01

    Write the role the way your team talks about it

    "Senior backend engineer with Go and distributed systems, comfortable owning a service end-to-end, ideally exposure to eBPF or kernel work." Pin parses this natively — no boolean strings, no manual filter tweaking.

  2. 02

    Pin searches where your engineers actually live

    GitHub, Stack Overflow, patents, academic publications, plus LinkedIn and the broader web. One query returns multi-source results ranked by the technical signals that predict engineering performance.

  3. 03

    Review candidates with evidence

    Each candidate comes with links to relevant repos, answered Stack Overflow questions, filed patents, or published papers. No guessing whether the "Senior Software Engineer" title matches real seniority — the evidence is attached.

  4. 04

    Send outreach that cites their actual work

    Pin drafts messages that reference specific repos, papers, or Stack Overflow answers. Tech candidates respond at 5x industry averages because the outreach is demonstrably personal — not a templated blast.

  5. 05

    Interview scheduling and ATS sync on autopilot

    Replies, scheduling, and ATS updates happen inside Pin. Ashby, Greenhouse, Lever, and Workday all sync bidirectionally — so recruiters and hiring managers see the same pipeline state in real time.

  6. 06

    Pipeline by team or product area

    Engineering orgs track reqs by team — platform, ML, product eng, infra. Pin's custom pipelines map to your org structure so leadership has visibility into where each search stands without weekly status meetings.

Req · Staff SWE · Distributed Systems
"Staff-level SWE for the core Platform team. Deep distributed systems experience — Raft/Paxos, has owned a multi-region service in prod."
RoleStaff SWE, Distributed Systems
Must-haves7+ yrs · Raft/Paxos · multi-region prod
Nice-to-havesEx-infra at FAANG or Cockroach/Mongo/Snowflake
LocationSF or remote US
Compensation$320–380K + equity
Pin asks:Does this role code day-to-day or is it design-heavy? Pin surfaces very different people for each.
850M+ profiles · engineering signals
JZ
Jialin Zhou
Staff SWE · CockroachDB
RaftMulti-regionSF
97
match
RN
Rafael Núñez
Principal SWE · MongoDB
PaxosStorageNYC
94
match
HT
Hana Takeshita
Staff SWE · Snowflake
DistributedQuerySF
92
match
OW
Oskar Wagner
Sr Staff SWE · Scylla
Low-latencyRustRemote
90
match
Sources: GitHub · Stack Overflow · Papers (arXiv) · Conference talks · LinkedIn
Outreach · Jialin Zhou
Email · Day 0
Hi Jialin — read your CockroachDB change-feed post. Building a multi-region control plane; would love your take on the design. 20 min?
LinkedIn · Day 3
Nudge — happy to share the system doc before we talk.
Email · Day 6
Last one — no pressure. If the scope's off, would love to stay in touch.
Replied at Day 3. System doc shared.
Tech screen · Jialin × Platform lead
Wed Apr 22
10:00 AM11:30 AM3:00 PM
Thu Apr 23
9:00 AM1:00 PM4:00 PM
Fri Apr 24
11:00 AM2:00 PM4:30 PM
Booked Wed 3:00 PM · 60 min · distributed-systems deep dive
Platform org · 31 active candidates
CandidateClientStageIdle
Jialin ZhouStaff SWEOffered2d
Rafael NúñezStaff SWEInterview 25h
Hana TakeshitaStaff SWEInterview 11d
Oskar WagnerSr Staff3h
Ngozi AdeyemiStaff SWEEngaged6d
1 stale — Ngozi idle 6 days. Pin drafted a re-engagement.
Tech hiring scenarios where Pin wins

Four ways a working desk actually uses Pin.

Every scenario below comes from a real Pin customer — solo desks, small agencies, and larger teams alike. No composite personas.

01

Hiring senior and staff engineers with specific open-source experience

The best senior engineers often have a public GitHub history that tells you more than a resume. Pin parses contribution graphs, repo ownership, and language-specific activity to surface candidates with demonstrated expertise — the kind of signal technical recruiting AI needs to rank senior talent correctly.

35%
fewer interviews per hire
02

Filling ML engineer roles requiring published research

Academic publications and pre-prints are the strongest signal for ML seniority. Pin indexes arxiv, Google Scholar, and related publication data to find ML engineers with relevant citation history and co-author networks.

Applied-scientist pipelines built in days, not months
03

Scaling an engineering org from 10 to 50

Hiring 5+ engineers per quarter requires pipeline velocity. Pin's shared team pipeline plus AI sourcing cuts sourcing time by 90% — the bottleneck moves from finding candidates to interviewing fast enough.

14
day average time-to-fill
04

Sourcing for niche infrastructure roles (Rust, Kubernetes, eBPF)

Rare stacks are under-represented in generalist LinkedIn searches. Pin's GitHub index surfaces candidates by commit history on the actual tools — not just resume mentions — making it the strongest engineering recruiting software for infrastructure and systems hires.

Qualified shortlists for stacks LinkedIn boolean search misses
05

Replacing expensive LinkedIn Recruiter seats company-wide

Engineering orgs with multiple hiring managers often accumulate 3–5+ LinkedIn Recruiter seats at $10K+/yr each. Pin consolidates to one platform at a fraction of the cost, with richer multi-source signal on every candidate.

91%
of Pin users reduced or eliminated LinkedIn Recruiter spend
Integrates with your stack

Integrations that matter for engineering orgs

Pipelines sync bidirectionally with Bullhorn, Loxo, Crelate, Greenhouse, Ashby, Lever, and 120+ more. Place first, file paperwork later.

Compliance
SOC 2 Type 2 · GDPR · EEOC

Pin is built for teams that handle protected data across multiple jurisdictions.

  • SOC 2 Type 2 certified
    Annual third-party audit. Report on request.
  • GDPR compliant
    UK/EU placements, DPA in place, EU data residency option.
  • Candidate right-to-delete
    One-click redaction workflow, 30-day purge guaranteed.
  • EEOC bias-elimination checkpoints
    No names, gender, or protected characteristics fed to the AI.
Visit trust.pin.com
The stack, replaced

Pin vs. the typical engineering hiring stack.

Capability
Pin
Typical engineering stack (LinkedIn Recruiter + GitHub sourcing tool + ATS)
Multi-source sourcing in one query
Included
Not supported
GitHub contribution and language signal
Included
Partial
Academic publication and patent indexing
Included
Not supported
Personalized outreach that cites candidate's actual work
Included
Partial
120+ ATS integrations (Ashby, Greenhouse, Lever, Workday)
Included
Partial
Starting price
$100/mo
$10K–$15K+/yr per seat for LinkedIn alone
G2 rating
4.8 / 5
Varies
Pricing

Simple pricing. Start free. Cancel anytime.

Solo
$99 / month, billed annually only on annual billing
For individual recruiters getting started.
  • Single seat · solo recruiters
  • Unlimited job positions
  • 500 contact lookup credits
  • AI sourcing & agents included
  • Multi-channel outreach sequences
Business
$249 $299 / month, per user, billed annually
For growing recruiting orgs with custom workflows.
  • Everything in Professional
  • 1,500 credits per seat / month
  • Premium ATS integrations
  • SOC 2 compliance docs
  • Priority support & onboarding
Frequently asked

Questions & Answers

Still have questions?

Talk to a specialist

What is the best AI recruiting platform for tech companies?

Pin is the highest-rated AI recruiting platform for tech companies on G2 (4.8/5). Unlike LinkedIn-only sourcing tools, Pin indexes GitHub, Stack Overflow, patents, and publications — giving tech companies signal on engineering talent that resume-based tools miss.

How does Pin source engineers from GitHub?

Pin indexes public GitHub activity including repository ownership, commit history, language distribution, contribution graphs, and project stars. Natural-language queries like "senior Rust engineer with distributed systems experience" return candidates ranked by demonstrated GitHub activity — not resume keywords.

Can Pin find ML engineers with published research?

Yes. Pin indexes academic publications from arxiv, Google Scholar, and related sources. ML roles requiring published research surface candidates with relevant citation history, making Pin effective technical recruiting AI for applied science and research hires.

How is Pin different from a GitHub sourcing tool?

Most GitHub sourcing tools only cover GitHub. Pin combines GitHub with LinkedIn, Stack Overflow, patents, publications, and the broader web — one query, 850M+ candidates across all sources. That's the core advantage of AI recruiting for tech companies that hire across disciplines.

Can Pin help hire senior or staff engineers specifically?

Yes. Senior and staff engineering hires often require signal beyond a resume — open-source contributions, technical writing, conference talks. Pin's software engineer recruiting platform surfaces candidates based on this evidence, reducing interviews per hire by 35%.

Does Pin integrate with Ashby, Greenhouse, Lever, and Workday?

Yes. Pin has native bidirectional integrations with 120+ ATS platforms including Ashby, Greenhouse, Lever, Workday, SmartRecruiters, and iCIMS. Outreach replies, candidate stages, and notes sync in real time.

How much does Pin cost for an engineering org of 20 people?

Pin starts at $100/mo. Only the handful of hiring managers and recruiters sourcing engineers need seats — typically $100–$249/mo per seat. Consolidating multiple LinkedIn Recruiter seats usually saves engineering orgs 80–90% on annual recruiting tooling spend.

Is Pin better than LinkedIn Recruiter for tech companies?

For engineering hiring, yes. LinkedIn Recruiter is keyword-matched against self-reported profiles. Pin's engineering recruiting software adds GitHub, Stack Overflow, patents, and publications as ranked signals — meaning Pin surfaces senior engineers whose LinkedIn undersells their actual work.

Is Pin only for engineering hiring?

No. Pin works across every role. Tech companies commonly use Pin for engineering, design, product, data science, and go-to-market hires from the same shared pipeline — so one platform covers the whole org's recruiting workflow.

How does Pin ensure unbiased technical hiring?

Pin's AI never sees names, gender, or protected demographic characteristics. Users report 6x more diverse pipelines — especially important for engineering orgs trying to expand beyond traditional candidate networks and referral loops.

Does Pin work for hiring remote engineers internationally?

Yes. Pin covers 100% of North America and Europe and includes global data sources. Time zones, remote work preference, visa status, and location filters are native — supporting distributed engineering orgs hiring across regions.

Is Pin secure enough for proprietary engineering hiring data?

Pin is SOC 2 Type 2 compliant with encryption at rest and in transit, strict access controls, and third-party audits. Candidate data, pipeline notes, and outreach content stay private to your workspace.

Last updated: May 2026

Ready to elevate your hiring game?

Hire engineers by their actual work. Start with AI recruiting for tech companies — free.

Book a Demo

As featured in