What Hiring Managers value — and how they’ve built their careers at PalantirEditor’s Note: Technical Recruiter Rachel Vogel speaks with Hiring Managers to learn more about their career journeys and life at Palantir.Are you eager to join Palantir’s Early Talent program? Our Early Talent program focuses on engineering hiring for new grad roles and internships. In this blog post, we shine a spotlight on the amazing individuals who oversee the hiring process and give you a glimpse into their lives at Palantir. Get to know these accomplished professionals as they share their personal journeys,…
Lessons from building an agentic software security strategy at PalantirIntroductionPalantir’s Product Security Team began experimenting with agentic AI across a variety of security workflows over a year ago. By the time Anthropic launched Project Glasswing, we were already using an internal multi-agent review harness with AI security agents focused on different areas of security expertise. Anthropic’s Mythos model and OpenAI’s cyber program helped to accelerate that work.Today, our team has operating capabilities for multi-agent source-code review, analyst-directed vulnerability hunting,…
Use of third party AI model services poses significant risk to your alpha. Without sovereign control over how your data is processed by those services (either the AI Labs or the Hyperscalers, collectively referred to as “Hosted Model Providers”), Hosted Model Providers may extract your alpha (your unique institutional knowledge and tradecraft embodied in data exposed to and generated from your use of AI models) and resell it to the broader market in the form of weights or services. Storage of your data by Hosted Model Providers also increases the attack surface against your alpha in an…
Editor’s Note: This is the fourth post in a series exploring how Palantir customizes infrastructure software for reliable operation at scale.The following is a guest contribution to the Foundations series from the Gotham Core Platform organization, which builds and maintains the bedrock for mission-critical applications within the Gotham ecosystem. This blog post by Kevin Liang, a backend developer based in CA, highlights the design considerations and improvements made to the Elasticsearch reindex machinery — which broadly aims to provide an easy-to-use, performant, reliable, and observable…
Editor’s Note: This blog post was written by Greg Little, Senior Counselor at Palantir, with Aaron Jaffe, Senior Vice President at Palantir. Over 10 years of implementing Enterprise Resource Planning (ERP) systems, I remember one project where the CFO stopped the room cold. It was 11:30 at night during a mock cutover. People were exhausted manually fixing mapping issues that “should” have been automated. The CFO looked up, rubbed his face, and said, “Tell me again why we’re changing everything we do just to keep this system happy?” It was a fair question. From the very first ERP project I…
The National Health Service (NHS) has delivered universal healthcare to an entire nation for over 75 years. With 1.5 million staff providing care to approximately 57 million patients across hundreds of hospital trusts — using decades old legacy infrastructure — the NHS is one of the most operationally complex organisations on earth.For most of its history, the NHS has run on data that couldn’t talk to itself. Patient records, waiting lists, operating theatre schedules, discharge plans: all this critical information was stored in separate systems that NHS staff couldn’t see, couldn’t share,…
The Palantir OntologyPalantir’s software powers real-time, human-agent decision-making in many of the most critical commercial and government contexts around the world. From disaster response to nuclear energy production, our customers depend on Palantir AIP to safely, securely, and effectively leverage AI in their enterprises — and drive operational transformation.While many factors contribute to achieving and scaling operational impact, including our AIP AgentCamps — where customers are hands-on-keyboards and achieving outcomes with AI in a matter of hours — the key differentiator is a…
Frontend Engineering at Palantir: Building Multilingual CollaborationAbout this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, and the margin for error is zero.This series pulls back the curtain on what that work really looks like: the technical problems we…
About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, and the margin for error is zero.This series pulls back the curtain on what that work really looks like: the technical problems we solve, the impact we have, and the approaches we take. Whether you’re…
About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, and the margin for error is zero.This series pulls back the curtain on what that work really looks like: the technical problems we solve, the impact we have, and the approaches we take. Whether you’re…
About this SeriesFrontend engineering at Palantir goes far beyond building standard web apps. Our engineers design interfaces for mission-critical decision-making, build operational applications that translate insight to action, and create systems that handle massive datasets — thinking not just about what the user needs, but what they need when the network is unreliable, the stakes are high, and the margin for error is zero.This series pulls back the curtain on what that work really looks like: the technical problems we solve, the impact we have, and the approaches we take. Whether you’re…
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