Companies Palantir Technologies

Palantir Technologies

United States

Total Offices: 6

4,400 Total Employees

Year Founded: 2003

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Engineering 14 Finance 6 Cybersecurity 2 Design 2 Legal 2 Operations & Support 2

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Palantir Technologies Offices

Palantir Technologies is headquartered in United States and has 6 office locations.

OnSite Workplace

Employees work from physical offices.

Typical time on-site: 5 days a week

U.S. Office Locations

HQ United States United States United States United States United States United States

United States

Recently posted jobs

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Palantir Technologies

International Tax Manager

3 Days AgoSaved

Hybrid

Palo Alto, CA, USA

Artificial Intelligence • Software

Manages international direct and indirect tax compliance across multiple jurisdictions. Responsibilities include reviewing foreign and U.S. international tax returns, preparing true-ups, maintaining tax documentation, managing VAT/GST filings and reconciliations, forecasting payments, researching tax issues, drafting memoranda, supporting withholding tax matters, and assisting with transfer pricing documentation. The role also supports audits, process improvements, controls, and cross-functional communication.

Palantir Technologies

Technical Accounting Manager

4 Days AgoSaved

Hybrid

Palo Alto, CA, USA

Artificial Intelligence • Software

The Technical Accounting Manager oversees technical accounting topics, stock-based compensation, supports financial statement preparation, and handles complex project management in a dynamic environment.

Palantir Technologies

Software Engineer, Internship

11 Days AgoSaved

In-Office

Palo Alto, CA, USA

Artificial Intelligence • Software

Contribute production-quality code to Palantir products (Gotham, Foundry, Apollo) as part of small teams. Participate across the product lifecycle—design, prototyping, implementation, and shipping—while collaborating with engineers, PMs, designers, and users. Receive mentorship, engage with customers, and apply ownership and collaboration principles to solve real-world data problems.

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