Principal Product Manager, Bryte AI Platform

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.

Responsibilities:

• 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, how they drive adoption organically. This isn't just about shipping capabilities; it's about designing experiences that make customers want to use AI more
• Own 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 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 the feedback loops that drive continuous improvement
• Translate complex customer and business problems into clear requirements, priorities, and tradeoffs. Write PRDs and decision docs 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

Requirements:

• 7-8+ years of Product Management experience in enterprise SaaS
• Shipped 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 handling
• Comfortable reading code, navigating a codebase, and debugging alongside engineers. You've submitted PRs, reviewed code, or prototyped solutions yourself
• Experience defining and tracking AI quality metrics: accuracy, helpfulness, failure modes, regression detection
• Exceptional 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 audience
• Product-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 usage
• Proven ability to lead through influence and operate across teams without formal authority
• 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: you've partnered on launch strategy, customer enablement, or adoption programs for technical products