Product Manager- AI

Product Manager- AIOur AI platform is changing how our people deliver work, bringing generative and agentic AI into the everyday flow of practitioners across the firm. It is not a single application but a growing family of products — conversational assistants, agentic workflows, knowledge and retrieval, content creation, and the shared skills and services that power them. We are looking for a Product Manager to own one of these products end to end.You will lead the full product lifecycle for your product, from discovery through launch and iteration, translating how people actually work into capabilities that are useful, reliable, and trusted. You will operate at the intersection of product, design, and engineering, working within the platform's shared architecture and standards rather than building them alone.This is an AI-native role in practice: we expect you to use AI to do the job, not just manage it as a feature. You will prototype, draft and stress-test requirements, and accelerate your own workflow with AI tools daily. As one of the platform's most demanding users, you will also work inside the very products you build. Fluency in modern AI and the instinct to reach for it matter here as much as classic product judgment. The product you own will be matched to your strengths and to where the platform needs an owner.Key ResponsibilitiesProduct Strategy & OwnershipLead the full product lifecycle for your product — discovery, definition, launch, and iteration.Own the roadmap across its components and features, and connect it to the platform's broader goalsConduct user and stakeholder research to surface the highest-value problems, and prioritize the features that solve them.Translate ambiguous needs into clear requirements and a defensible delivery plan.Turn repeatable patterns from real delivery into reusable, scalable product capabilities.Design & Architecture (Within the Platform)Partner with Engineering and Design to shape your product's design within the platform's existing architecture, including:How your product fits the multi-agent orchestration modelUse of shared retrieval (RAG) and knowledge servicesReuse of platform skills, tools, and componentsModel selection within the platform's model orchestration layerConversational and generative UI surfacesApply and help refine shared platform standards for:Prompt and agent design patternsEvaluation, quality, and reliabilityResponsible AI, safety, and governanceHuman-in-the-loop and escalation patternsMake product-level decisions on feature flags, progressive rollout, and how your product respects the tenant isolation, data boundaries, and security patterns set by the platform.Delivery EnablementWork closely with delivery teams to:Understand real-world use cases and jobs to be doneUncover friction in how people currently get work doneDefine how your product slots into existing workflowsShape how users interact with your product — its assistants, reusable skills and workflows, shared knowledge, and configurable patterns they can tailor to their context.Execution & DeliveryCollaborate with Engineering to:Prioritize the backlog and sequence investmentsDrive latency, quality, and cost improvements for your productImprove scalability, reliability, and observabilityDefine success metrics and contribute to evaluation and monitoring, both offline and online, including usage and cost models for your product's AI workloads.Own documentation and standards for your product, aligned to platform conventions.Stakeholder ManagementPartner across Engineering, Design, Security & Compliance, fellow product managers, and the practitioner community.Communicate trade-offs and translate fluently between technical teams and business stakeholders.Present your product's roadmap, progress, and impact to platform leadership.What You'll Bring• Proven PM experience shipping technical or platform products; experience with AI/ML or data intensive products strongly preferred.• Working fluency in modern AI (LLMs, agents, RAG, evaluation) and the trade-offs between them. A track record of translating ambiguous problems into clear roadmaps and shipped outcomes.• Strong collaboration across engineering and design, and the ability to influence without authority.• Comfort operating within enterprise responsible-AI, security, and governance constraints.Nice to Have• Experience with professional services / consulting delivery models.• Hands-on familiarity with AI tooling and agent frameworks.• Background designing for both practitioner and leadership audiences.