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We are looking for a Cloud FinOps Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
Collaborate with R&D and DevOps to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is a core part of our infrastructure evolution.
Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
Manage and optimize our portfolio of RIs, Savings Plans, and Spot instances to maximize our cloud ROI.

Required Cloud - Customer Success Engineer
As a Cloud Customer Success Engineer, you will be regarded as a technical expert specialized in deploying, supporting, and optimizing our enterprise platform within cloud environments. You will be a vital part of the "Flight Crew" for our customers, working closely with a dedicated team of Support Engineers and Success Managers to manage all post-sales activity and ensure maximum adoption.
Your focus will extend beyond traditional support into active customer success-helping clients design, automate, and navigate hybrid and multi-cloud architectures. You will use your deep cloud-native expertise, hands-on troubleshooting skills, and client-facing mastery to help customers successfully run the AI OS across the world's leading public and private cloud platforms.
Key Responsibilities:
Deploy & Maintain: Deploy, configure, and maintain cloud services and infrastructure components in customer public and private cloud environments.
Build Trusted Relationships: Develop deep, technical, and trusted relationships with customers based on technical excellence, a customer-first mindset, and your command of the Cloud product portfolio.
Automation & IaC: Contribute to cloud automation and orchestration efforts using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Shell).
Cloud Operations & Observability: Understand and regularly interact with each cloud provider's native monitoring, logging, dashboards, and observability tools, alongside infrastructure monitoring tools (e.g., Grafana, Prometheus).
Deep Troubleshooting: Troubleshoot complex CSP instances and networks. Systematically parse logs to identify and resolve issues within the Cloud Provider that extend beyond the AI OS itself.
Root Cause Analysis: Perform thorough root cause analysis (RCA) and post-incident reviews for infrastructure-level incidents to ensure continuous improvement and platform stability.
OnPrem/Hybrid Integration: Work with customers to integrate our Cloud with their existing On-Premises systems, facilitating robust Hybrid Cloud architectures.
Cross-Functional Collaboration: Partner with our engineering, product management, pre-sales, and professional services to elevate product features, escalate unresolved bugs, and advocate for customer-specific priorities

Required Customer Support Engineer
As a Technical Support, you will be regarded as our product expert and, as such, you will be involved in daily technical operations and escalations.
The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team.

We are building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time - with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it - already running in production inside Fortune 500 environments, where being wrong is not an option. The team is small and deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Solutions Engineer to be our technical face in front of the worlds largest data and AI organizations. You will sit with the engineers who run those environments, prove what autonomous execution does to their cost, performance, and reliability, and turn what you learn in the field into what we build next.
What Youll Do
* Own the technical win end to end: discovery, solution architecture, and the case that convinces senior engineering and data leaders
* Run proof-of-value engagements on customers own telemetry and real workloads - measured results, not slideware
* Quantify our impact in the numbers the customer already trusts: cloud cost, SLA, workload efficiency, and reliability
* Be the trusted technical voice on Databricks, cloud infrastructure, and workload orchestration for teams running mission-critical production systems
* Bring the field back into the building: shape roadmap, integrations, and enterprise capabilities with what only you see
What We Offer
* Own the technical customer journey for a category we are defining, not competing in High ownership from day one: direct exposure to founders, and field insight that changes the product within weeks
* A small, deeply technical team where the bar is the point - we hire slowly and expect a lot Top-of-market compensation and meaningful equity The teams running the worlds largest data and AI workloads are about to stop tuning them by hand. Come be the person who shows them what that looks like. Hit Apply.

We are seeking a highly motivated and experienced Team Leader to join our R&D group, and be responsible for planning, coordinating and leading activities across the full delivery lifecycle, to ensure successful deliveries.To join us, you need to demonstrate the ability for hands-on leadership and ensure you can offer guidance and support, as well as assist developers at the code level.

As an R&D Team Leader , you will...
Lead a high-performing team of 6-8 developers working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from initial architecture and design to production release.
Proactively identify and mitigate risks and bottlenecks, driving cross-functional stakeholders to deliver on time without compromising quality.
Make key technical and strategic decisions to align engineering efforts with business impact.

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