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we are looking for a talented R&D Team Leader to join our innovative development team. As a vital part of our mission to deliver leading security solutions, you will contribute to the development of security products that ensure the safety and integrity of our customers' software throughout the entire lifecycle, from code development to runtime operations. If you thrive in dynamic environments, take ownership of features from end to end, and are eager to mentor and share knowledge with the team, this is the role for you!

To join us, you should demonstrate hands-on leadership while providing guidance and support, as well as assisting developers at the code level.

As an R&D Team Leader Security, you will...
Lead a team of 4-6 developers, working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from design to release.
Ensure that risks and issues are identified and managed closely, while driving all stakeholders to deliver on time and to the required quality standards.
Make key decisions to ensure the right effort for the successful implementation of all initiatives.

This role sits at the intersection of engineering, product, and the global developer community. Youll translate technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into R&D and business teams to influence product direction.

As a Developer Advocate you will:
Represent across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs

We're looking for a Senior AI Product Manager to take ownership of core areas of our B2B platform - the point where powerful AI capabilities become real products that customers rely on. We've already built the foundation: rich data, agentic infrastructure, and deep domain intelligence. Now we need someone who can take what's working with one customer and make it work everywhere - productizing capabilities, scaling them across our customer base, and raising the quality bar as they grow.

This is a hands-on builder role. You'll work in close, direct partnership with both customers and R&D - running discovery, analyzing the data, and prototyping ideas yourself, then teaming up with R&D to bring them to life at scale.

This is a fast-moving area, and we'll shape the exact scope together, based on where you can create the most leverage for the business. We're looking for true startup reflexes: the ability to shift focus as priorities shift, zero in on what matters most this quarter, and make clear, deliberate trade-offs.

If you thrive in a fast-paced startup environment and want to build AI products that make complex insights accessible and actionable for a real-world, >$1B industry, this role is for you.

What You'll Do

Own core areas end to end - strategy, discovery, execution, and measurement. Define what success looks like in numbers, and stay accountable to it well beyond launch.
Productize and scale what works. Turn capabilities proven with one customer into products that work seamlessly across your entire customer base.
Lead discovery yourself. Run customer and prospect conversations to uncover what people will actually pay for, and bring back a scoped, evidenced bet.
Prototype your ideas. Go from concept to working prototype using coding agents and AI tooling, with a design bar high enough to serve as a real proposal.
Own quality. Define what "good" means for our agents, build the evals to measure it, and raise the bar on reliability, cost, and trust as the system evolves.
Partner deeply with R&D. Engage on technical trade-offs - accuracy, latency, cost, build vs. buy - and earn the team's respect through substance.
Drive it to market. Team up with design, sales, marketing, and customer success to package, position, and launch it, then feed adoption data back into the roadmap.

We are looking for an experienced, hands-on Software Engineer with proven abilities to deliver fast and efficiently. A true team player who is eager to be part of a unique opportunity in the startup scene.
Key Responsibilities

Design software according to agreed standards, architecture, and requirements
Plan and build creative, scalable, and secure solutions
Work closely with product managers in defining and implementing roadmap features
Contribute and drive technological and architectural decisions
Interface with various R&D groups, as well as support groups

As a Deployment Strategist, you'll work as part of a driven and creative team of Engineers, Product Designers, and other Deployment Strategists to deploy software against the most challenging problems our world faces. Your mission is to synthesize disconnected streams of thought into a cohesive understanding of what the most important problem is, what the data means, what the product needs, what users are motivated by, and where the impact could be.

Deployment Strategists are do-ers who immerse themselves in our customers' most intricate workflows, partner with customer teams and explore the data, and dive into the product landscape to enable us to scale. A select number of Deployments Strategists may also be deployed to Palantir internal teams and problems. In this role, the problems you'll tackle will require a curious and analytical mindset, a sharp intuition for product, and a strong degree of user empathy to ultimately empower our customers to make better decisions.
No two days are the same, but as a Deployment Strategist you can expect to:
Go onsite and meet with customer analysts to understand the critical questions they need to answer and locate their biggest pain points.
Identify relevant datasets through deep engagement with customer problems and workflows, and work with Forward Deployed Engineers to integrate the data into a stable and extensible pipeline.
Work with the customer to build bespoke workflows for new user groups.
Lead training sessions to ensure that the product is meeting user needs, and to ensure it is being used widely enough to have concrete impact on our partners' operations.
Present the results of our work and proposals for future work to audiences ranging from analysts to C-suite executives.
Embed with our Software Engineering and Product Design teams to incorporate what you saw in the field into cross-Palantir product offerings.
Build and deliver demos to new and existing customers.
Scope out potential engagements in new industries and in increasingly expanding locations around the world.

As an FDSE, your responsibilities look similar to those of a startup CTO: youll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.

Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place - with the best colleagues - to learn how. Youll learn how to unpack a problem and understand the costs and consequences of its solution. Youll learn new technologies and languages, and even develop them yourself. Youll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.
Our Principles
Impact: We take on meaningful and challenging projects that change the world for the better.
Ownership: We see projects through from beginning to end, working through any obstacles we may encounter.
Collaboration: We work internally with people from a variety of backgrounds - such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and solve their problems.
Trust: We trust each other to effectively manage time and priorities and give people the space to think for themselves.
Growth: We encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge.
Learning: We often face entirely novel problems where we need to pick up a lot of new knowledge and learn how to use it to make progress. We believe experiential learning is one of the best teachers.

You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute - and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture.

What You'll Own
Strategy & Architecture
Define and own the enterprise AI integration strategy - identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across our company core platforms
Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do
Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution.
Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption
Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria
Contribute to our enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines
Integration Architecture & Delivery

Design and own the Workato eMCP layer - the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems
Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira - specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements
Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery - including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data
Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers
Define non-functional requirements - latency, security, auditability, model drift monitoring - for AI components embedded in mission-critical business processes
Establish MLOps and LLMOps practices appropriate for our enterprise environment: model versioning, observability, and rollback procedures for production AI workloads

We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.
Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness.

We are looking for a Full-Stack Engineer who brings strong ownership, clear communication, and a practical, can-do mindset. You will join the Commerce squad and build high-impact capabilities across our core commerce and internal platforms, including Admin experiences that power pricing, promotions, product data, and order lifecycle flows, as well as Operations and Customer Support. You will operate in a fast-paced environment with high standards, partnering closely with Product, Design, DevOps, and cross-functional stakeholders to deliver meaningful business outcomes. This is an opportunity to influence technical decisions, own features end-to-end, and build scalable systems that support critical commerce experiences used across the business.
Roles and Responsibilities:
Design and implement scalable microservices with strong API contracts and maintainable architecture
Own features end-to-end: clarify requirements, propose technical designs, break down delivery, coordinate dependencies, ship, monitor, and iterate based on real usage and business impact
Contribute to event-driven commerce architecture: publish and consume events, design resilient workflows, handle retries and idempotency, and ensure data consistency across services
Work within a Scala-based monolith, adapting quickly to unfamiliar technologies and applying pragmatic refactoring practices
Work with MongoDB and other data stores as needed, designing schemas and access patterns that support scale, performance, and long-term maintainability
Work with AWS cloud infrastructure and production systems, including observability, deployments, and operational readiness.

we are building an AI-powered reverse engineering agent. As a Frontend Engineer, youll build high-signal interfaces for expert users, security researchers working inside complex binaries and large codebases.
This role is about developer tooling and research productivity, not marketing pages. Youll turn complex analysis outputs into interfaces that are fast, precise, and genuinely useful.
What Youll Do
Build UI for reverse engineering and research workflows
Partner with backend and research teams to surface complex insights clearly
Design and implement interfaces for navigating large, messy codebases
Improve performance, usability, and clarity for expert workflows
Own frontend features end-to-end: from spec → implementation → polish.

What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.

What you'll be doing
Multi-cloud architecture: Own the design and implementation of our company's multi-cloud architecture across GCP and AWS, including the cross-cloud standards, boundaries, and tradeoffs that keep two providers from becoming twice the complexity.
Infrastructure as code: Build and maintain the entire environment in Terraform, so infrastructure is reviewable, reproducible, and scales without a person in the loop.
Deployment pipelines from scratch: Create the CI/CD foundation that lets a small team ship quickly and safely, with the testing, gating, and rollback paths that make fast releases boring rather than risky.
Kubernetes at data scale: Run and scale the Kubernetes and containerized workloads behind our company's security data processing, where volume, latency, and cost pressure all show up at once.
Security of our own stack: Own identity, access, secrets, network boundaries, and infrastructure hardening to a standard that holds up under customer security review.
Reliability and visibility: Build the logging, monitoring, and alerting layer that tells us something is wrong before a customer does, and make on-call sustainable as the system grows.
Technical direction: Partner directly with the founding engineering team on architectural decisions, and raise the infrastructure and cloud fluency of every engineer who joins after you.