Senior Product Manager - Autonomous Agents

Netomi • Toronto, ON

5d

About The Position

Netomi is seeking a Senior Product Manager to lead the product strategy and execution roadmap for Autonomous Agents within the conversational AI domain. This role involves defining how Netomi's agents reason, plan, execute multi-step tasks, and collaborate across various channels (chat, voice, email, messaging) in enterprise environments. The position requires working at the intersection of agentic AI research, real-world enterprise deployments, and platform reliability. The Senior Product Manager will define the customer-facing aspects of autonomous agents, including goal understanding, tool and API invocation, state management for long-horizon tasks, failure recovery, and graceful handoffs to human agents. A key aspect of this role is understanding the requirements for successful autonomous agent deployment in production, such as multi-turn reasoning, reliable tool/workflow execution, memory and context management, human-in-the-loop escalation, observability, and cost/latency constraints at enterprise scale.

Requirements

• Engineering degree with 5+ years of progressive product management experience
• Proven ownership of a complex, multi-surface product area with demonstrated delivery of technical features to enterprise customers.
• Deep understanding of conversational AI and agentic systems, including: LLM-based reasoning, tool calling, and multi-step task execution.
• Understanding of Agent orchestration patterns (supervisor/sub-agent, planning loops, HITL escalation).
• Knowledge of Evaluation methodologies for AI systems: task completion, goal accuracy, regression, and drift.
• Familiarity with Production observability for AI agents: tracing, logging, alerting, and failure analysis.
• Strong technical fluency: APIs, distributed systems, cloud environments, and AI/ML deployment workflows.
• Excellent stakeholder leadership and executive communication; ability to drive alignment across research, engineering, and GTM without direct authority.
• Customer-first mindset with experience translating enterprise customer needs into clear, actionable product requirements.

Nice To Haves

• MBA from a Tier 1 institute
• Experience building or shipping AI agent products at a conversational AI, NLU, or enterprise AI platform company.
• Familiarity with agentic frameworks and protocols (e.g., LangChain, LangGraph, Model Context Protocol, OpenAI function calling, tool-use patterns).
• Experience supporting regulated or mission-critical environments (financial services, airlines/telephony, healthcare, payments).
• Experience working with large SI/partner ecosystems and coordinating enablement and customer success programs.
• Background in or strong familiarity with progressive delivery (feature flags, canary rollouts), incident management, and post-incident learning disciplines.

Responsibilities

• Own the Autonomous Agents roadmap end-to-end: problem discovery, prioritization, spec writing, delivery coordination, and outcome tracking.
• Translate enterprise customer and partner needs into product requirements, working closely with Customer Success, Delivery, and Sales/RevOps.
• Partner with Applied Research and Data Science to define evaluation criteria, benchmark programs, and quality gates for agentic AI capabilities.
• Drive cross-functional alignment across Engineering (Runtime, Studio, Channels, SDKs), QA, and Delivery on scope, dependencies, and launch readiness.
• Establish instrumentation requirements and ensure every shipped agent capability has the telemetry needed to measure usage, reliability, and outcomes.
• Run planning and execution cadence: quarterly roadmap inputs, monthly scope lock, weekly execution reviews, and launch readiness sign-offs.
• Drive post-release learning: monitoring windows, post-incident reviews (PIRs), and systematic feedback loops into roadmap planning.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior