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Latest updates to the BenchSci Job Board page
- Check6 days agoChange DetectedThe AI usage disclosure now states that AI tools may identify potential inconsistencies or verification signals in applicant materials, refining how automated review is described in the recruitment process.SummaryDifference4%

- Check13 days agoNo Change Detected
- Check20 days agoNo Change Detected
- Check28 days agoChange DetectedThe Careers page now shows a 'No job postings currently open. Check back later!' message to reflect an empty state, and listing-related fields (Work type, Team, Location, Location type, Employer Branding, Marketing, Apply, VP of Marketing (AI-Native & Autonomous Operations), Toronto, Ontario, Full-time (Remote), Remote —) are removed from the page.SummaryDifference17%

- Check42 days agoChange DetectedAdded a disclosure about using AI tools in the hiring process. Removed several location labels and specific job entries, and reorganized the page to highlight Marketing roles.SummaryDifference9%

- Check56 days agoChange DetectedSeveral listing elements were removed from the Go-To-Market jobs page, including a Toronto location, remote/full-time indicators, a Senior Product Manager – Inference entry, the Apply button, and product-related sections. This reduces the visible job details and actions available to users browsing and applying for roles.SummaryDifference7%

- Check63 days agoChange DetectedThe jobs listing view updates the visible categories and postings—removing roles such as Accounting Analyst and Systems Administrator and adding Marketing-related roles like Employer Branding and a VP of Marketing (AI-Native & Autonomous Operations). The work type/location formatting shown for these listings also changes (e.g., shifting to “Remote —” and “Full-time (Remote)” labels for the newly shown roles).SummaryDifference10%

- Check70 days agoChange DetectedMultiple job postings and related metadata (locations, work types, and role titles) were removed from the listings. This reduces the number of visible opportunities across engineering, data, ML, and product categories.SummaryDifference19%

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