Startup Jobs Intelligence

Discover startup job openings with rich company and funding context — all in one run.

Search across YC-backed companies and their job boards. Every result is enriched with funding stage, tech stack, salary ranges, equity details, seniority level, hiring velocity, and a lead score — giving you the full picture instantly.

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What You Get

Each job record includes:

Field	Description
Job title & apply URL	Direct link to apply
Location & remote flag	Is it remote? Where?
Seniority level	Detected automatically: junior, mid, senior, staff, lead, head
Salary range	Extracted from description: min, max, currency
Equity	Range or mention: 0.1%–0.5%, "equity offered"
Tech stack	190+ technologies auto-detected from description
Company funding stage	seed, Series A, Series B, Series C, growth, public
YC batch	W24, S23, W23 etc.
Team size	Current headcount
Industries	Fintech, AI/ML, Healthcare, SaaS…
Hiring velocity	How many open roles the company has right now
Lead score (0–100)	Composite signal: funding × velocity × salary × equity
Company links	Website, LinkedIn, Twitter, YC profile

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Use Cases

• Tech recruiters — find every Backend/ML/DevOps opening at Series A–B YC startups before they hit job aggregators
• Job seekers — filter by remote + salary + equity + tech stack in one place
• Sales & BD teams — identify fast-growing companies (high hiring velocity = available budget)
• VC analysts — track which portfolio companies are expanding
• Market researchers — analyse hiring trends across the YC ecosystem

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Input Options

Simple search (engineering jobs, remote)

{
  "roles": ["eng"],
  "remote": true,
  "maxResults": 50
}

Early-stage YC companies only, with salary filter

{
  "roles": ["eng", "data"],
  "fundingStage": ["early"],
  "minSalary": 150000,
  "hasEquity": true,
  "maxResults": 100
}

Specific YC batches + tech stack

{
  "ycBatchFilter": ["W24", "S23"],
  "techStack": ["Rust", "Go", "Kubernetes"],
  "remote": true,
  "maxResults": 30
}

AI/ML companies, all roles

{
  "industries": ["AI / ML", "Developer Tools"],
  "keywords": "machine learning",
  "sources": ["workatastartup", "greenhouse"],
  "maxResults": 200
}

Startup sales intelligence

{
  "fundingStage": ["series_b", "series_c"],
  "minTeamSize": 50,
  "maxTeamSize": 300,
  "roles": ["sales", "marketing"],
  "maxResults": 100
}

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Filters Reference

Parameter	Type	Description
keywords	string	Match against job title and description
roles	array	eng, design, product, sales, marketing, ops, finance, data
location	string	City, country, or "Remote"
remote	boolean	Remote jobs only
ycBatchFilter	array	e.g. ["W24","S23","W23"]
fundingStage	array	early (seed–Series C), growth (Series D+, late-stage)
industries	array	e.g. ["Fintech","AI / ML","Healthcare"]
minTeamSize	integer	Minimum team size
maxTeamSize	integer	Maximum team size
techStack	array	Required technologies, e.g. ["Rust","PostgreSQL","Kubernetes"]
minSalary	integer	Minimum annual salary in USD
hasEquity	boolean	Must mention equity/options
seniority	array	intern, junior, mid, senior, staff, principal, lead, head
maxResults	integer	1–1,000 (default 100)
includeJobDescription	boolean	Include full job text (default false)
sources	array	workatastartup, greenhouse

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Lead Score

Every job receives a score from 0 to 100 with a grade (A–F):

Score	Grade	Meaning
80–100	A	Prime target — high-growth stage, active hiring, salary + equity disclosed
65–79	B	Strong lead — established company, healthy hiring
50–64	C	Good opportunity — some signals present
35–49	D	Low signal — limited public data
0–34	F	Minimal data available

Factors contributing to the score include: funding stage, number of open roles, team size, YC batch recency, salary transparency, equity disclosure, and company profile completeness.

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Sample Output

{
  "jobTitle": "Senior Backend Engineer",
  "applyUrl": "https://boards.greenhouse.io/acme/jobs/123",
  "location": "San Francisco, CA / Remote",
  "isRemote": true,
  "seniority": "senior",
  "salaryMin": 180000,
  "salaryMax": 220000,
  "salaryCurrency": "USD",
  "equityMin": 0.1,
  "equityMax": 0.3,
  "equityRaw": "0.1% - 0.3%",
  "techStack": ["Go", "Kubernetes", "PostgreSQL", "AWS"],
  "atsType": "greenhouse",
  "postedAt": "2026-04-15T00:00:00.000Z",
  "company": {
    "name": "Acme AI",
    "ycBatch": "W23",
    "stage": "early",
    "totalFunding": "$45M",
    "teamSize": 65,
    "industries": ["AI / ML", "Developer Tools"],
    "website": "https://acme.ai",
    "isHiring": true
  },
  "hiringVelocity": {
    "openRoles": 12,
    "last30Days": 7,
    "trend": "growing"
  },
  "leadScore": {
    "score": 87,
    "grade": "A",
    "factors": ["stage:series_b", "open_roles:12", "team_size:65", "salary_range_disclosed", "equity_range_disclosed"]
  }
}

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Pricing

Event	Cost	Description
Run start	$0.02	Flat fee per run
Job record	$0.002	Per result (without description)
Job + description	$0.005	Per result with full job text

Example: 100 jobs without descriptions = $0.02 + $0.20 = $0.22 total

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Data Sources

• WorkAtAStartup — YC's official job board, updated daily
• Greenhouse — Direct ATS job board access (public API)

Company metadata (YC batch, funding, team size) is sourced from the YC company directory, updated daily.

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Perfect For

• Recruiting & staffing agencies focused on tech startups
• Job seekers targeting YC-backed companies
• B2B SaaS sales teams doing account-based outreach
• Early-stage investors tracking portfolio hiring
• HR analytics and market research