CyberMax-tools/hireheat-career-site-jobs-weekly

HireHeat Jobs: every job posted this week on 10,000+ company career sites

This week's open roles for your own company list, live, by API: $5 for 500 companies. Buy now → · API key on screen the moment checkout ends · no subscription · 14-day refund if it doesn't work as described · help: cybermax.tools@gmail.com

Need it fresh, filtered or via API? This free file is a snapshot (one week of career-site job postings), last updated 2026-09-24.

• HireHeat Jobs on Apify ($0.002 per job returned): searches 12,000+ company career sites for your own job query, fresh every run.
• HireHeat hiring signals API (card checkout) (20 free companies a day, $5 for 500 (no expiry, no subscription), or $19/month for 2,500): returns fresh hiring signals for your own companies (open roles, new roles in 7 and 30 days, functions, seniority, locations, newest jobs) by REST API or MCP; pay by card in one click, key shown instantly, no Apify account needed (the HireHeat Apify tool for bulk lists and schedules is linked from the same page).
• HireHeat on Apify ($0.001 per job returned): returns fresh hiring signals (open roles, departments, growth) for your own company list, on a schedule, with a monitor mode.
• Using it at work? Commercial license + support (from $49/year): invoice, PDF licence certificate, named support, freshness and availability commitments and an SLA; the data stays free and open for everyone.
• Get an email when this dataset updates: free, double opt-in, unsubscribe any time.
• CyberMax Store: every CyberMax data product, API plan and weekly brief in one place.

Each snapshot holds every job first posted in the last 7 days on the company career sites in the HireHeat Jobs directory, read straight from each employer's applicant tracking system (Greenhouse, Ashby, Workable, SmartRecruiters). One row per job with title, company, location, remote flag, department, employment type, salary where the employer publishes it, posting date and the apply link, plus a derived job function and seniority. No description text and no people: job postings only. A new file is added every week, so the history of who hires what builds up.

First snapshot, 2026-09-24 17:50 UTC (see meta.json):

Career sites read	10,524 of 10,528 (4,044/4,047 Greenhouse, 2,716/2,716 Ashby, 2,711/2,712 Workable, 1,053/1,053 SmartRecruiters; the 4 misses returned HTTP 404)
Open jobs read	439,697
Jobs first posted 2026-09-17 → 2026-09-24	49,909
Companies with at least one new job	5,373
Marked remote	7,406 (14.8%)
With a published salary	2,014 (4.0%, all on Ashby boards)
By platform	SmartRecruiters 23,169 · Greenhouse 14,822 · Workable 6,936 · Ashby 4,982
Crawl time	309 s, from one cloud location

Top hiring companies this week: AccorHotel (1,000, see limits), Domino's (1,000, see limits), AECOM (695), Bosch Group (555), Centria Autism (509), Northwestern Memorial Healthcare (490), BAYADA Home Health Care (487), H&M Group (473), JYSK (457), Veolia Environnement SA (399).

By derived function: engineering 9,492 · sales 5,308 · customer 4,721 · operations 3,188 · data 2,680 · marketing 1,598 · finance 1,225 · people 1,195 · product 951 · design 932 · legal 589 · other 18,030 (hospitality, retail, healthcare and trades titles mostly land here). By seniority: mid 30,181 · manager 9,383 · senior 4,130 · junior 1,887 · director 1,394 · intern 1,090 · staff+ 1,057 · executive 787.

Postings by days before the snapshot: 0: 11,162 · 1: 9,575 · 2: 9,741 · 3: 7,628 · 4: 641 · 5: 2,745 · 6: 8,417 (days 4-5 were the weekend of 19-20 September).

Browse AI/ML roles from the same source: AI & ML jobs posted this week.

Use it

from datasets import load_dataset
df = load_dataset("CyberMax-tools/hireheat-career-site-jobs-weekly", split="train").to_pandas()

latest = df[df.snapshotAt == df.snapshotAt.max()]
print(latest[latest.remote & (latest.jobFunction == "data")][["title", "company", "location", "url"]].head(20))

# Which companies opened the most engineering roles this week
print(latest[latest.jobFunction == "engineering"].company.value_counts().head(20))

# Combining weeks: windows can overlap by a day, so dedupe on jobId
allweeks = df.sort_values("snapshotAt").drop_duplicates("jobId", keep="first")

DuckDB: SELECT jobFunction, count(*) FROM 'hf://datasets/CyberMax-tools/hireheat-career-site-jobs-weekly/data/*.parquet' GROUP BY 1 ORDER BY 2 DESC.

Columns

Column	Type	Notes
title	string	Job title as posted
company	string	Board name from the ATS; for Ashby boards (no name in the feed) it is derived from the board slug, e.g. openai → Openai
location	string	As posted (free text)
remote	bool	True when the ATS flags the job remote or the location/title says remote
department	string	As posted (Greenhouse departments come from the board's departments feed)
team	string	Ashby only
employmentType	string	As posted (Full-time, FullTime, Part-time, Contract…; not normalized)
salary	string	Only when the employer publishes it (in this snapshot: Ashby boards)
postedAt	timestamp (UTC)	First published date from the ATS
daysAgo	int	Whole days between postedAt and the snapshot
url	string	Apply link on the employer's own career site
ats	string	greenhouse, ashby, workable, smartrecruiters
boardSlug, boardUrl	string	The employer's board on that ATS
jobId	string	Stable id ats:slug:jobid, same as the Actor's
jobFunction	string	Derived from title + department + team by keyword rules: engineering, data, product, design, sales, marketing, customer, people, finance, legal, operations, other
seniority	string	Derived from the title: intern, junior, mid, senior, staff+, manager, director, executive
snapshotAt	timestamp (UTC)	When the crawl started

Example rows (real, from this snapshot)

title	company	location	remote	salary	postedAt	ats	jobFunction	seniority
Staff & Software Engineer, Payments & Billing, Consumer Monetization	Openai	San Francisco	true	$266K – $445K • Offers Equity	2026-09-24	ashby	engineering	staff+
DATA SCIENCE COORDINATOR | INVESTMENTS & TREASURY MG	Inter Carreiras	Belo Horizonte, MG	false		2026-09-24	greenhouse	data	mid
Seasonal Customer Experience Representative	Indigo Books & Music	St. John's, NL, Canada	false		2026-09-24	smartrecruiters	sales	mid

Each row also carries url (e.g. https://jobs.ashbyhq.com/openai/b3fcdad3-abcb-4612-8fd9-a69e17210f0f), department, team, employmentType, boardSlug, boardUrl and jobId.

What it's good for

• Job boards and newsletters: a weekly feed of fresh roles with direct apply links, by function, seniority, location or remote.
• Labor-market research: which companies and functions are hiring week over week, remote share, where salaries are published.
• Lead generation / hiring intent: companies that just opened sales, data or engineering roles are buying tools and services for those teams.
• Training and evaluating classifiers: job-title → function or seniority (the derived labels are keyword rules, a baseline to beat, not ground truth).

Method and limits

• Only the boards in the HireHeat Jobs directory (collected from the public web and validated against each live ATS API, built 2026-09-23): 4,047 Greenhouse, 2,716 Ashby, 2,712 Workable and 1,053 SmartRecruiters boards. Companies not in the directory are not covered.
• Four platforms. Recruitee boards (1,803 in the directory) are skipped because Recruitee rate-limits cloud servers; Lever, Workday, iCIMS, Taleo, SuccessFactors and in-house career sites are not covered, so many large enterprises are missing.
• "First posted in the last 7 days" uses the ATS's own date (Greenhouse first_published, Ashby publishedAt, Workable published_on, SmartRecruiters releasedDate). A job re-published by the employer counts as new; undated jobs are left out.
• SmartRecruiters boards are read up to their first 1,000 postings (as in the Actor); 33 boards had 1,000 or more, so their counts (e.g. AccorHotel and Domino's at exactly 1,000) are lower bounds.
• Workable's feed lists a multi-location job once per location; rows are deduplicated on jobId, so such a job appears once with one of its locations (11,615 Workable rows before, 6,936 after).
• No description text, no recruiter or hiring-manager names or emails. jobFunction and seniority are simple keyword rules; employmentType and location are not normalized.
• One crawl per week from one cloud location, 16 concurrent requests, 10 s timeout with one retry (boards that time out are retried once with 30 s).

Licence

Job postings are public listings published by employers on their own career sites; the postings and their text belong to those employers. This dataset compiles them for research and discovery. The compilation, derived columns and code are by CyberMax; reuse the compilation freely, and follow each employer's terms for the postings themselves. Not affiliated with Greenhouse, Ashby, Workable, SmartRecruiters or any listed employer. To have a board removed, open a discussion on this dataset.

Live search and job alerts: HireHeat Jobs

This dataset is a free weekly slice. For live, filtered results use HireHeat Jobs on Apify:

• Search 12,000+ career sites on demand by title keywords, excluded words, location, remote and posted date, newest first, same schema as here.
• "New jobs only" alerts: schedule it daily with newOnly and each run returns only postings you haven't received.
• $0.002 per job, plus $0.02 per search across more than 25 career sites (1,000 jobs from the full directory = $2.02; a first try at one company = $0.006), no compute charges on top.
• Callable by AI agents via Apify's MCP server: https://mcp.apify.com/?tools=cybermax/career-site-jobs.

Per-company view: HireHeat on Apify turns a list of companies into hiring signals (open roles, new in the last 30 days, by function and seniority).

More free from CyberMax

• All free CyberMax demos & datasets
• AI & ML jobs posted this week (HireHeat Jobs demo)

Quickstart notebook

Load this dataset with pandas and see real outputs in the quickstart notebook. Need it refreshed for your own list? Career Site Jobs & Job Listings API — HireHeat.