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Sr Product Manager, AI Services- Agent Platform

Job in Vancouver, BC, Canada
Listing for: Workday, Inc.
Full Time position
Listed on 2026-06-15
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

About the Role

As a Senior Product Manager on the AI Services team, you will be a force multiplier at the intersection of AI product development, growth and adoption, and AI-augmented productivity.

This role requires three distinct strengths working together:

  • Deep fluency with AI/ML products and services,
  • The ability to operationalize growth practices for an internal platform,
  • The habit of using AI tools to dramatically increase your own output and the output of those around you: from rapid prototyping with AI coding agents to accelerating research, analysis, artifact creation, and day-to-day decision-making.

You will operate with a high degree of autonomy and ownership over your product area. You are empowered to make decisions, move fast, and drive outcomes, and you are expected to. That autonomy comes with accountability: you keep your stakeholders and leadership informed, you surface tradeoffs early, and you treat transparency as a strength, not a constraint. The best PMs on this team operate independently without ever operating in isolation.

Responsibilities
  • Owning the end-to-end product lifecycle for AI/ML services, including discovery, prioritization, roadmap definition, evaluations, and navigating the unique complexities of non-determinism, cost/latency tradeoffs, and API and service-layer design.
  • Shaping and socializing AI services as reusable capabilities for consumption by AI agent teams, traditional application teams building Workday’s UI/UX product layer, and the Workday Extend platform-as-a-service team delivering services and APIs to external developers.
  • Building and operationalizing the growth engine for AI Services by establishing the tools, tactics, instrumentation, and experimentation practices that drive awareness, activation, and durable adoption across the portfolio. This is not a supporting function: you will be the team’s primary practitioner and mentor in growth craft, educating and up leveling your PM peers and cross-functional partners who do not have this specialty today.
  • Using AI tools to multiply your own productivity and the team’s, treating AI coding agents, AI-assisted research, and AI-augmented analysis as core parts of how you work every day. You prototype working demos with tools like Claude Code, Cursor, or Copilot. You also use AI to accelerate PRDs, data analysis, internal tooling, stakeholder communication, and any task where speed and quality compound.

    You model this way of working for the broader team.
  • Partnering closely with engineering to define quality, design structured APIs and service contracts, and act as a catalyst helping application teams modernize their products with innovative AI capabilities.
  • Contributing to the evolution of the team’s operating model, including helping institutionalize AI-assisted rapid prototyping and AI-augmented PM workflows as repeatable, production-connected practices across the broader organization.
About You Basic Qualifications
  • 8+ years of product management experience in a technology environment, with meaningful experience shipping AI/ML-powered products, platform services, developer tools, and leading growth initiatives at a program or product level.
  • AI/ML product fluency:
    You have shipped at least one AI or ML-powered product or service as the accountable PM. You understand the AI product lifecycle (data, evaluations, prompt iteration, model selection, non-determinism, and cost/latency tradeoffs). You are comfortable with service-layer considerations including APIs, service contracts, versioning, and consumer onboarding. You have real stories about where the model or service surprised you and how you navigated it.
  • AI-augmented productivity and prototyping:
    You use AI tools as force multipliers across your entire scope of work: not just for prototyping, but for research, data analysis, artifact creation, internal tooling, and everyday PM workflows. You are also fluent with AI coding agents, comfortable in a terminal, and able to build working prototypes and demo-quality artifacts yourself when speed matters. You can point to specific tools you use, specific things you have built or accelerated, and specific outcomes that…
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