Principal Product Manager, Bryte AI Platform

Why UKG At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do. We never stop learning, never stop challenging the norm, push for better, and celebrate the wins along the way. Here, you'll get flexibility that matters, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you. About the Role We're looking for a Principal Product Manager to own and evolve Bryte, UKG's AI platform powering assistive and agentic experiences across our product suite. This includes conversational agents, intent classification systems, AI SDKs, shared services, and the evaluation infrastructure that keeps it all working. What You'll Do Own product strategy and execution for Bryte's AI platform capabilities, including conversational agents, intent classification, tool orchestration, SDKs, and shared AI services. Drive the architecture and roadmap for multi‑agent systems, including how agents route intents, select tools, handle failures, and degrade gracefully. Think deeply about the customer experience: how AI features surface in‑app, how they build trust, and how they drive adoption organically. Design experiences that make customers want to use AI more rather than just ship capabilities. Own the narrative. Translate complex AI systems into clear, compelling stories for customers, GTM teams, and leadership. Articulate use cases that connect technology to real customer outcomes. Drive 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 mechanics. Define and own AI quality metrics (helpfulness rates, failure mode taxonomy, out‑of‑domain deflection rates) and run feedback loops that drive continuous improvement. Translate complex customer and business problems into clear requirements, priorities, and tradeoffs. Write PRDs and decision documents that don't need follow‑ups. Work directly in the codebase: read agent code, debug production issues from logs and telemetry, prototype integrations, and submit changes when appropriate. Drive delivery across multiple engineering teams and dependencies, even when no one reports to you. Partner with engineering and AI teams to make pragmatic tradeoffs on scope, quality, speed, and risk, with enough technical depth to challenge and be challenged. Surface risks early, propose solutions, and follow through. Communicate effectively across levels: engineers, partners, and senior leaders. What Success Looks Like Agent success rates and user helpfulness scores improve measurably quarter over quarter. You can explain exactly why the system is failing for a given query category and what we're doing about it, backed by data, not intuition. Customers engage with AI features more over time. You track adoption curves, identify friction points, and design experiences that pull users in rather than push features at them. Stakeholders and GTM teams can articulate the value of what you've shipped because you gave them the narrative, use cases, and proof points. New AI capabilities ship to GA with evaluation criteria, quality baselines, and GTM plans already in place. Engineering teams trust your technical judgment and pull you into architecture discussions, not just planning meetings. Platform consumers (other UKG product teams) adopt Bryte capabilities with clear documentation and minimal hand‑holding. Stakeholders understand priorities and tradeoffs without constant escalation. Required Qualifications 7‑8+ years of Product Management experience in enterprise SaaS. Shipped AI‑powered products with direct involvement in the underlying architecture, not just adding AI to a product. Strong understanding of LLM‑based agent systems: multi‑agent orchestration, intent classification, tool routing, prompt engineering, and failure handling. Comfortable reading code, navigating a codebase, and debugging alongside engineers. Experience submitting PRs, reviewing code, or prototyping solutions. Experience defining and tracking AI quality metrics: accuracy, helpfulness, failure modes, regression detection. Exceptional communicator and storyteller. Able to explain a complex AI system to an engineer, pitch its value to a customer, and present a strategy to a VP with appropriate depth and framing. Product‑led growth mindset. Think about how features drive adoption, engagement, and expansion, bridging technology and usage. Proven ability to lead through influence and operate across teams without formal authority. Expected Skills and Abilities Complete PM toolkit: strong across process, technical depth, domain understanding, influence, and strategy. Quick to grasp new domains, frameworks, and system architectures. Strong ownership mindset. Takes action, closes loops, doesn’t wait to be told. Even‑keeled, reliable, and calm under pressure. Comfortable working across highly technical and non‑technical audiences. Platform thinking: understands that internal product teams are customers and balances their needs against end‑user outcomes. Customer empathy at the experience level. Focuses on what it feels like to use the product, inspiring confidence in AI through thoughtful UX and clear value demonstration. Nice to Have Hands‑on experience with agent frameworks such as Claude API/tool‑use, Google ADK, LangGraph, or similar. Background in HCM, payroll, or regulated enterprise environments where AI decisions have compliance implications. Experience with AI trust, safety, or guardrails (content filtering, PII handling, model governance). Familiarity with AI evaluation tooling and observability platforms. Platform or developer tools product management experience. GTM experience: partnered on launch strategy, customer enablement, or adoption programs for technical products. This is NOT for You If You prefer narrowly defined problems with minimal ambiguity. You need formal authority to move work forward. You avoid execution details or hands‑on problem solving. You think “AI product management” means writing prompts and handing them to engineering. You’re uncomfortable opening a codebase, reading logs, or getting into system‑level debugging. You build features but don’t consider how customers discover, adopt, and get value from them. Equal Opportunity Employer UKG is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, disability, religion, sex, age, national origin, veteran status, genetic information, or any other legally protected categories. UKG participates in E‑Verify. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Disability Accommodation in the Application and Interview Process For individuals with disabilities that need additional assistance at any point in the application or interview process, please email View email address on click.appcast.io. Pay range for this position: $163,900.00 to $235,550.00. The actual base pay offered may vary depending on skills, experience, job‑related knowledge and work location. In addition to base pay, employees may be eligible to participate in a performance‑based bonus plan and receive restricted stock unit awards as part of total compensation. Learn more about UKG's benefits and rewards at #J-18808-Ljbffr Fairygodboss