Search job openings

Search live job openings across every company in the database, filtered on the job and on the company posting it.

What it does

• Searches job openings across all companies — not just LinkedIn-sourced roles.
• title is the only required parameter. Everything else narrows the result set.
• Filters split into two halves: the job (title, employment type, workplace type, location, description text, posted date) and the company that posted it (size, revenue, funding, industry, location, competitors).
• Company-side filters are the same firmographics as find_companies, applied to the hiring company. That is what makes this an account-sourcing tool, not just a job board search.

Hiring is the signal. A company posting three sales roles this month is buying sales tooling; this call finds those companies and the role that proves it, in one pass.

Use cases

• Source accounts from hiring intent. A company posting three sales roles is standing up a team and buying the tools that team needs.
• Qualify the job and the company in one call. Firmographic filters run against the hiring company, so the list comes back pre-qualified rather than needing a second pass.
• Read the stack off the job description. description_keywords finds postings that name Salesforce or Outreach — technographics for free.
• Stack funding with hiring. Companies that raised last quarter and are hiring now have both budget and an approved plan to spend it.
• Build a territory list of live reqs. Job-country filters scope the roles to the geography a rep actually covers.

How to use it

Search job openings with the titles "Account Executive" and "Enterprise AE"
in the United States, posted after 2026-07-01.

Narrow that to companies with 51-500 employees whose last funding round was
series_a or series_b, and exclude staffing and recruiting industries.

Only keep postings whose description mentions Salesforce or Outreach.

Take the hiring companies from that list and find the VP Sales and Head of
Revenue Operations at each one.

Example prompts

Best prompting practices

• title is the only required field. Start with the title, then add one filter family at a time — company filters cut hardest, so add them last.
• Say which location you mean. “Remote roles at UK companies” is workplace_types plus company_countries, not job_countries. Getting this backwards is the most common empty result.
• Set exclude_reposted for signal work. A repost is the same req surfacing again, not new hiring intent, and it inflates a hiring-velocity read.
• Exclude agencies up front. company_industries_exclude on staffing and recruiting removes most of the noise you would otherwise clean by hand.
• Use description_keywords as a technographic filter. A JD naming your competitor’s tool is a displacement play, and it costs nothing extra to filter on.
• Dates are YYYY-MM-DD. posted_after: "2026-07-01". “Last month” will not parse — your client should convert it before the call.
• Count openings per company, not just openings. Three open sales reqs at one account is a stronger buying signal than one req at three accounts.
• Set limit explicitly. Default is 25. At 0.3 credits per job found, limit is the cost dial.

Output

{
  "jobs": [
    {
      "title": "Enterprise Account Executive",
      "employment_type": "full_time",
      "workplace_type": "hybrid",
      "location": "Austin, Texas, United States",
      "date_added": "2026-07-28",
      "url": "https://example.com/careers/enterprise-ae",
      "company": {
        "name": "Example Inc",
        "primary_domain": "example.com",
        "headcount": 240,
        "last_round_type": "series_b"
      }
    }
  ],
  "next_cursor": "eyJwYWdlIjoyfQ"
}

Credits and limits

0.3 credits per job found, whatever filters you set. limit is 1–100 with a default of 25, so a default call costs up to 7.5 credits and a full page up to 30. A search that returns fewer openings than the cap costs less. Run check_credits (free) before a long paging run.

Parameters

Required

Everything below is optional. Filters combine as AND across families and any-of within a single array filter — employment_types: ["full_time", "contract"] matches either, but adding job_countries narrows that set rather than widening it.

Job

Job location

Job description

Description keywords are the cheapest technographic signal on the server: a JD that names Salesforce and Outreach tells you the stack without a find_company_techstack call.

Company

Company size

Company revenue

Company funding

Funded plus hiring is the strongest pairing here: last_fundraise_after set to the past quarter, plus a title the round is obviously funding, returns accounts with budget and an open req.

Company location

Dates

Paging

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• Signals & ABM — workflows that turn hiring signals into an account list

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.