Senior Product Manager - Autonomous Agents

New
J
JobgetherEnterprise AI
CanadaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years of progressive product management experience
Required Skills
Product ManagementRESTful APIsStakeholder managementLLMDistributed Systems

Requirements

  • Bachelor’s degree in Engineering or a related technical field.
  • 5+ years of progressive product management experience.
  • Proven experience owning complex product areas and delivering technical products for enterprise customers.
  • Deep understanding of Large language model (LLM)-based reasoning and tool usage.
  • Experience with multi-step task execution and workflow orchestration.
  • Knowledge of agent collaboration patterns, including supervisor/sub-agent models and human-in-the-loop escalation.
  • Experience with AI evaluation methodologies, including task completion, accuracy, regression testing, and performance monitoring.
  • Familiarity with AI agent observability practices such as tracing, logging, alerting, and failure analysis.
  • Technical fluency across APIs, distributed systems, cloud platforms, and AI/ML deployment workflows.
  • Strong stakeholder management and executive communication skills.
  • MBA from a leading institution is a plus.

Responsibilities

  • Own the end-to-end product strategy and roadmap for autonomous agent capabilities, from discovery and prioritization through delivery and measurement.
  • Define how AI agents understand goals, plan actions, execute workflows, manage context, and collaborate with human teams across different channels.
  • Translate enterprise customer requirements into clear product specifications and actionable development priorities.
  • Partner with Applied Research, Data Science, and Engineering teams to establish evaluation frameworks, benchmarks, and quality standards for AI capabilities.
  • Drive alignment across technical and business teams, including engineering, QA, delivery, customer success, sales, and partnerships.
  • Define instrumentation and analytics requirements to measure agent usage, reliability, performance, and customer outcomes.
  • Establish execution processes including roadmap planning, delivery reviews, launch readiness, and cross-functional coordination.
  • Lead post-launch improvement initiatives through monitoring, incident reviews, feedback analysis, and continuous product optimization.
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