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AI & Big Tech Software Engineering Jobs (Greenhouse)

Open software engineering roles at Anthropic, Databricks, Stripe, Scale AI, Figma, Airbnb, Coinbase, Reddit and more, straight from their Greenhouse job boards: title, team, location, salary range when published, apply link. Add or swap companies freely. Turn on onlyNew and add a schedule for a daily feed of only new postings.

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Greenhouse Jobs Scraper
Greenhouse Jobs Scrapervocal_rhapsody/greenhouse-jobs
Title
Company name
Company
Department
+6 fields
Text
Number
Boolean
List
Object

Input

Companies:anthropic+11
Title keywords:engineer+1
Remote jobs only:false
Include job description:true
Only new since last run (turn on for scheduled monitoring):false
Max items:100

Output fields

Title
Company name
Company
Department
Location
Workplace type
Employment type
Salary
Posted
Job page

How it works

Sign up on Apify or log in

The Greenhouse Jobs Scraper Actor is ready to run with the inputs already set for "AI & Big Tech Software Engineering Jobs (Greenhouse)". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "AI & Big Tech Software Engineering Jobs (Greenhouse)" task

The Greenhouse Jobs Scraper Actor will start running based on the input automatically. You can also change all the input fields, like companies, title keywords, and more, to match your specific use case.

Receive the "AI & Big Tech Software Engineering Jobs (Greenhouse)" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as title, company name, company, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "AI & Big Tech Software Engineering Jobs (Greenhouse)" task via API.

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Integrate "AI & Big Tech Software Engineering Jobs (Greenhouse)" into your workflow

Connect "AI & Big Tech Software Engineering Jobs (Greenhouse)" with 100+ integrations, or run it via API or MCP.

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