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How to find companies hiring for a specific role

Hiring is one of the strongest buying signals in B2B sales. A company posting five data-engineer roles is about to buy data tools, and one hiring SDRs is building a sales team. Recruiting agencies use the same signal to find clients. Here’s how to build that list yourself from public job boards.

The method

  1. Build a company directory. Collect careers-board slugs for Greenhouse (boards.greenhouse.io/{slug}), Lever (jobs.lever.co/{slug}) and Ashby (jobs.ashbyhq.com/{slug}). A good free source is Common Crawl’s URL index: query url=jobs.lever.co&matchType=domain and extract the first path segment. Then verify each slug against its API and drop empty boards. Roughly 75% of discovered slugs have open jobs.
  2. List each board cheaply. For Greenhouse, call boards-api.greenhouse.io/v1/boards/{slug}/jobs without content=true. That returns titles and locations in kilobytes instead of megabytes. Lever and Ashby return full postings in one call.
  3. Match and aggregate per company.
import collections, httpx

def greenhouse_jobs(slug):
    r = httpx.get(f"https://boards-api.greenhouse.io/v1/boards/{slug}/jobs", timeout=30)
    return [{"title": j["title"], "location": (j.get("location") or {}).get("name")} for j in r.json().get("jobs", [])] if r.status_code == 200 else []

def hiring_summary(slug, keywords):
    jobs = greenhouse_jobs(slug)
    matched = [j for j in jobs if any(k in j["title"].lower() for k in keywords)]
    if not matched:
        return None
    return {"company": slug, "openJobs": len(jobs), "matchingJobs": len(matched),
            "topLocations": [l for l, _ in collections.Counter(j["location"] for j in matched).most_common(3)],
            "sampleTitles": [j["title"] for j in matched[:5]]}

print(hiring_summary("airbnb", ["engineer"]))

Pitfalls

Skip the build

Hiring Companies Finder does all of this over a verified directory of 4,400+ companies: type a role and location, and get one row per hiring company with open and matching jobs, remote share, top locations and departments, and sample titles. $10 per 1,000 companies. (Built by the author of this guide.)

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