Applicant Tracking System Jobs API

API ID 14933

Live job postings from named company applicant tracking systems, as structured JSON.

API Documentation

Endpoints

Request
Returns the live job postings of named companies by reading their applicant tracking system, with title, location, remote flag, employment type, posting date and department.
Endpoint ID: 39020
GET https://zylalabs.com/api/14933/applicant+tracking+system+jobs+api/39020/get+company+ats+job+postings
INPUT PARAMETERS

Get Company ATS Job Postings — Endpoint Features

Object Description
companies Optional Comma-separated company names, domains or careers URLs to read
atsPlatforms Optional Comma-separated platforms to force, such as greenhouse,lever,ashby,workable
titleKeywords Optional Comma-separated keywords the job title must contain
locationKeywords Optional Comma-separated keywords the job location must contain
postedWithinDays Optional Only return jobs posted within the last N days
remoteOnly Optional Restrict results to remote roles: pass true or false
limit Optional Maximum number of jobs to return per company, up to 200

Free test requests remaining: 3 of 3.


INPUT PARAMETERS

companies
atsPlatforms
titleKeywords
locationKeywords
postedWithinDays
remoteOnly
limit
API EXAMPLE RESPONSE
JSON
{
    "endpoint": "ats-jobs",
    "count": 1,
    "truncated": true,
    "took_ms": 5653,
    "items": [
        {
            "ats": "greenhouse",
            "companySlug": "stripe",
            "companyName": "Stripe",
            "jobId": "8172508",
            "title": "Abuse Investigator",
            "department": "8611 Security Analytics",
            "location": "Dublin",
            "locations": [
                "Dublin",
                "Ireland Locations"
            ],
            "isRemote": false,
            "postedAt": "2026-09-03T17:32:53.000Z",
            "updatedAt": "2026-10-29T14:42:09.000Z",
            "jobUrl": "https://stripe.com/jobs/search?gh_jid=8172508",
            "applyUrl": "https://stripe.com/jobs/search?gh_jid=8172508",
            "descriptionText": "Who we are\n\nAbout Stripe\n\nStripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.\n\nAbout the team\n\nAbuse Operations is the front-line incident response and remediation function handling active product abuse and fraud impacting Stripe and its merchants. This multi-disciplinary group, spanning Incident Managers, Investigators, Forward Deployed Security Engineers, and Data Scientists, neutralizes active attacks, gathers requirements for operational tooling, and leads incidents. The team  works directly with impacted merchants to resolve technical incidents and policy abuse rapidly. Operating primarily across Eastern, Pacific and Western European time zones, these team members regularly coordinate with global stakeholders across the world.\n\nWhat you’ll do\n\nYou'll play a critical role in safeguarding our financial ecosystem by investigating high-risk accounts and identifying complex patterns of fraud during incidents. You will lead incident response for product abuse and fraud events, conducting deep-dive analyses to identify root causes. By collaborating cross-functionally, you will drive improvements that enhance our fraud detection and prevention strategies at scale. Your expertise will be essential in automating response processes through agentic approaches, allowing us to safeguard merchants and neutralize threats with speed and precision.\n\nResponsibilities\n\n• Investigate, mitigate, and remediate urgent fraud incidents (e.g., ATO, card testing), utilizing FT3-mapped detection and signals enrichment to reduce uncertainty and accelerate response.\n\n• As part of incidents, analyze high-risk accounts to identify fraudulent merchants, card testing, account takeovers, and other fraud vectors, classifying them using FT3 (Fraud Taxonomy 3.0) to standardize threat intelligence.\n\n• Lead incident root cause analyses to identify gaps in current systems and strategies, leveraging the FT3 framework, data-driven model to drive enhancements and process improvements for emerging fraud risks.\n\n• Streamline incident response capabilities, ensuring the tooling and processes are clear, accurate and efficient\n\n• Work cross-functionally with security, fraud and data science teams to build agentic solutions for responding to abuse incidents at scale\n\n• Effectively communicate cross-functionally with legal and policy teams to assess and mitigate risks, while demonstrating strong problem-solving under pressure.\n\n• Collaborate effectively with teammates, leading projects, mentoring others, and developing and championing quality standards within the team\n\nWho you are\n\nWe're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.\n\nMinimum requirements\n\n• 3+ years of experience conducting incident response in security, product abuse or trust domains\n\n• 3+ years experience analyzing large data sets to solve problems and/or building models with a behavioral approach to fraud detection\n\n• B.S. or M.S. Computer Science or related field, or equivalent experience\n\n• Expert knowledge of Python and SQL, and familiarity with other programming languages\n\n• Existing experience with log analysis (e.g. first or third party applications, system / data access, event logs), network security, digital forensics, and incident response investigations\n\n• Ability to communicate results clearly and focus on impact\n\n• Ability to think creatively and holistically about reducing risk in a complex environment\n\nPreferred qualifications\n\n• An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors.\n\n• Experience with engineering, data processing and analysis tools (e.g. Databricks, Trino, etc.)\n\n• Familiarity with common open-source frameworks for big data processing and/or data science (PySpark, Pandas, Sci-kit Learn, etc.)\n\n• Experience with tactical threat intelligence and/or hunting for sophisticated threat actors in an enterprise environment\n\n• Ability to proactively challenge the status quo by leveraging data and taking a user-centric approach to address complex product integrity challenges",
            "companyInput": "stripe",
            "scrapedAt": "2026-11-11T16:07:12.668Z"
        }
    ]
}
Get Company ATS Job Postings — CODE SNIPPETS

curl --location --request GET 'https://zylalabs.com/api/14933/applicant+tracking+system+jobs+api/39020/get+company+ats+job+postings?companies=stripe&postedWithinDays=OptionalremoteOnly=false&limit=2' --header 'Authorization: Bearer YOUR_API_KEY' 


    

API Access Key & Authentication

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Headers
Header Description
Authorization Required Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

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Overview

Live job postings from named company applicant tracking systems, as structured JSON.

Applicant Tracking System Jobs API FAQs

Every response is JSON with a count, a took_ms field and an items array of flat records ready to store or query.

No. Requests are handled server-side; you only send your API key and the parameters described in this endpoint.

Each call reads the source live, so the records reflect the state of the upstream source at request time.

You receive an explicit error status instead of an empty result, so a failure is never mistaken for no data.

Yes, each endpoint caps the number of records per request; the maximum is stated in the limit parameter.

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