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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