Pricing

$2.00 / 1,000 results

Greenhouse Public Jobs Tech Stack Extractor

Turn public Greenhouse job boards into AI and tech hiring intelligence with detected skills, role families, relevance scores, salary/remote/seniority parsing, and whyItMatches explanations.

Pricing

$2.00 / 1,000 results

Rating

0.0

(0)

Developer

Catalin Ionut Iliescu

Actor stats

Bookmarked

Total users

Monthly active users

17 days ago

Last modified

Categories

Jobs

Developer tools

Source

source

Optional

Source job board type.

Type:string

Example:greenhouse

Board token

boardToken

Optional

Public Greenhouse board token that produced the job.

Type:string

Example:databricks

Job ID

jobId

Optional

Public Greenhouse job identifier.

Type:string

Example:1234567

Internal job ID

internalJobId

Optional

Internal Greenhouse job identifier when exposed by the board.

Type:string

Example:654321

Job URL

absoluteUrl

Optional

Direct URL to the public Greenhouse job page.

Type:string

Example:https://job-boards.greenhouse.io/databricks/jobs/1234567

Title

title

Optional

Job title from the public Greenhouse board.

Type:string

Example:Senior Machine Learning Infrastructure Engineer

Company

company

Optional

Company name from the board, or the board token fallback.

Type:string

Example:Databricks

Location

location

Optional

Primary job location text.

Type:string

Example:San Francisco, CA

Updated at

updatedAt

Optional

Greenhouse updated timestamp when available.

Type:string

Example:2026-06-01T12:00:00Z

Department

department

Optional

Department names joined from the Greenhouse job record.

Type:string

Example:Engineering

Office

office

Optional

Office names joined from the Greenhouse job record.

Type:string

Example:San Francisco

Content text

contentText

Optional

Cleaned job description text used for classification.

Type:string

Example:You will build scalable ML infrastructure...

Detected skills

detectedSkills

Optional

Normalized technologies and skills detected in the job text.

Type:string[]

Example:

[
  "Python",
  "Kubernetes",
  "MLOps"
]

Role families

roleFamilies

Optional

Normalized role-family tags inferred from the job text.

Type:string[]

Example:

[
  "ai_infrastructure",
  "mlops"
]

Seniority

seniority

Optional

Detected seniority level.

Type:string

Example:senior

Remote type

remoteType

Optional

Detected work arrangement.

Type:string

Example:remote

Salary min USD

salaryMinUsd

Optional

Minimum parsed salary in USD when a range is detected.

Type:integer | null

Example:160000

Salary max USD

salaryMaxUsd

Optional

Maximum parsed salary in USD when a range is detected.

Type:integer | null

Example:220000

Salary raw

salaryRaw

Optional

Original salary text matched from the job description.

Type:string

Example:$160k-$220k

Relevance score

relevanceScore

Optional

Deterministic 0-100 relevance score for AI, ML, infrastructure, and adjacent engineering signals.

Type:integer

Example:82

Confidence

confidence

Optional

Confidence bucket for the classification.

Type:string

Example:high

Matched keywords

matchedKeywords

Optional

Input or built-in keywords matched in the job text.

Type:string[]

Example:

[
  "AI infrastructure",
  "Kubernetes"
]

Why it matches

whyItMatches

Optional

Short deterministic explanation of why the job matched.

Type:string

Example:Strong AI infrastructure and Kubernetes signals were detected.

Other properties may be included.

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