[Remote] Principal Product Manager, Bryte AI Platform

Note: The job is a remote job and is open to candidates in USA. UKG is a leading workforce operating platform that focuses on enhancing workforce understanding. They are seeking a Principal Product Manager to own and evolve Bryte, their AI platform, which involves driving product strategy, creating compelling customer experiences, and ensuring successful product delivery across engineering teams.ResponsibilitiesOwn product strategy and execution for Bryte's AI platform capabilities, including conversational agents, intent classification, tool orchestration, SDKs, and shared AI servicesDrive the architecture and roadmap for multi-agent systems, including how agents route intents, select tools, handle failures, and degrade gracefullyThink deeply about the customer experience: how AI features surface in-app, how they build trust, how they drive adoption organically. This isn't just about shipping capabilities; it's about designing experiences that make customers want to use AI moreOwn the narrative. Translate complex AI systems into clear, compelling stories for customers, GTM teams, and leadership. Articulate applied use cases that connect technology to real customer outcomesDrive GTM readiness for your releases by partnering with enablement, sales, and customer success to ensure features land well. Understand rollout strategy, customer segmentation, and adoption mechanicsDefine and own AI quality metrics (helpfulness rates, failure mode taxonomy, out-of-domain deflection rates) and run the feedback loops that drive continuous improvementTranslate complex customer and business problems into clear requirements, priorities, and tradeoffs. Write PRDs and decision docs that don't need follow-upsWork directly in the codebase: read agent code, debug production issues from logs and telemetry, prototype integrations, and submit changes when appropriateDrive delivery across multiple engineering teams and dependencies, even when no one reports to youPartner with engineering and AI teams to make pragmatic tradeoffs on scope, quality, speed, and risk, with enough technical depth to challenge and be challengedSurface risks early, propose solutions, and follow through. Communicate effectively across levels: engineers, partners, and senior leadersSkills7-8+ years of Product Management experience in enterprise SaaSShipped AI-powered products with direct involvement in the underlying architecture, not just 'we added AI to the product.'Strong understanding of LLM-based agent systems: multi-agent orchestration, intent classification, tool routing, prompt engineering, and failure handlingComfortable reading code, navigating a codebase, and debugging alongside engineers. You've submitted PRs, reviewed code, or prototyped solutions yourselfExperience defining and tracking AI quality metrics: accuracy, helpfulness, failure modes, regression detectionExceptional communicator and storyteller. You can explain a complex AI system to an engineer, pitch its value to a customer, and present a strategy to a VP, adjusting depth and framing for each audienceProduct-led growth mindset. You've thought about how features drive adoption, engagement, and expansion, not just how they work technically. You understand the intersection of technology and usageProven ability to lead through influence and operate across teams without formal authorityHands-on experience with agent frameworks such as Claude API/tool-use, Google ADK, LangGraph, or similarBackground in HCM, payroll, or regulated enterprise environments where AI decisions have compliance implicationsExperience with AI trust, safety, or guardrails (content filtering, PII handling, model governance)Familiarity with AI evaluation tooling and observability platformsPlatform or developer tools product management experienceGTM experience: you've partnered on launch strategy, customer enablement, or adoption programs for technical productsBenefitsEmployees may be eligible to participate in a performance-based bonus planReceive restricted stock unit awards as part of total compensationCompany OverviewUKG™delivers HCM, payroll, HR service delivery, and workforce management solutions. It is a sub-organization of Hellman & Friedman. It was founded in 1977, and is headquartered in Lowell, Massachusetts, USA, with a workforce of 10001+ employees. Its website is https://www.ukg.com.