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SaaS Account Executive Jobs: Datadog & Cloudflare

Pulls open Account Executive roles from Datadog and Cloudflare Greenhouse boards, with titles, locations, departments, offices, dates and parsed salary ranges where disclosed. Helps sales job seekers, recruiters and compensation analysts compare SaaS sales hiring. Edit the keywords for other sales roles, or add more board tokens.

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Greenhouse Job Board Scraper – Salaries
Greenhouse Job Board Scraper – Salarieschain_link/greenhouse-job-board-scraper
Board Token
Company Name
Job Id
Title
+14 fields
Text
Number
Boolean
List
Object

Input

Board tokens or careers URLs(required):datadog+1
Title keywords:Account Executive
Location filter
Department filter
Remote only:false
Include description:false
Max jobs:20

Output fields

Board Token
Company Name
Job Id
Title
Location
Is Remote
Departments
Offices
Absolute Url
Updated At
First Published
Requisition Id
Description Html
Description Text
Salary Min
Salary Max
Salary Currency
Scraped At

How it works

Sign up on Apify or log in

The Greenhouse Job Board Scraper – Salaries Actor is ready to run with the inputs already set for "SaaS Account Executive Jobs: Datadog & Cloudflare". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "SaaS Account Executive Jobs: Datadog & Cloudflare" task

The Greenhouse Job Board Scraper – Salaries Actor will start running based on the input automatically. You can also change all the input fields, like board tokens or careers urls, title keywords, and more, to match your specific use case.

Receive the "SaaS Account Executive Jobs: Datadog & Cloudflare" 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 board token, company name, job id, 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 "SaaS Account Executive Jobs: Datadog & Cloudflare" task via API.

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