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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 a Product Designer to cover a 6-month maternity leave. This is a solo-designer role by nature: you'll own live product work from week one, running your own surfaces end to end, sitting at the intersection of complex data and intuitive visual storytelling.

Because the window is six months, we care far more about how fast you ramp, learn, and decide on your own than about how many years you have on paper. If you are the kind of designer who reads the product, forms an opinion, and ships, you will do well here.

What You'll Do:

Own design end to end for several product areas in parallel: discovery, flows, UI, prototypes, pixel-perfect handoff, and QA of what actually ships.
Design AI-native experiences: conversational and agentic interfaces, generated content, states of uncertainty, and the trust and control patterns that help food industry professionals navigate our AI insights with ease.
Maintain and extend our design system on both sides: components and tokens in Figma, and their real counterparts in the code repo.
Work directly with engineers, product managers, marketing, and internal product builders, without a layer of translation in between.
Use AI tooling as part of your daily craft, from exploration through to working prototypes and, where it helps, real code.
Hold a holistic view of the product: how a single screen serves the user, the workflow it sits in, and the business outcome behind it.

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.

As an Associate Product Manager, you will work with Product Managers in making key product decisions, conducting market research and competitive analysis, delivering product demos, and knowledge transfer activities.

This is an opportunity to join entry level Product Management position

Key Responsibilities
Conduct Market fit and competitive research in support of new product initiatives as well as ensuring a strong market position for existing offerings.
Prepare & deliver clear, compelling presentations to customers, colleagues, and superiors
Communicating effectively with key stakeholders and other members of the organization.
Lead our demo environment, used to showcase the value of the company Orchestration Suite
Seek out and interpret user feedback and market research data to guide product development.
Collaborate closely with a diverse group of stakeholders and meet with clients to maintain an on-the-pulse knowledge of our users and the use cases that drive their successful outcomes.
The ideal candidate will have strong technical skills, strong network security background, leadership skills and passion to make an industry-wide impact

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