This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager - Autonomous Agents based in Canada.

This role offers the opportunity to shape the future of enterprise AI by defining how autonomous agents operate in real-world customer environments.

You will own the strategy and execution of advanced AI agent capabilities, helping organizations automate complex workflows across multiple communication channels.

Working at the intersection of product innovation, AI research, engineering, and enterprise needs, you will transform emerging technologies into reliable, scalable solutions.

The position requires deep technical understanding, strong product leadership, and the ability to define intelligent systems that deliver measurable business outcomes.

You will collaborate with cross-functional teams to build AI experiences that reason, execute tasks, adapt, and work alongside human teams.

This is an opportunity to influence the next generation of conversational AI products used by global enterprises.

Accountabilities

The Senior Product Manager will lead the product vision, roadmap, and execution for autonomous agent capabilities, ensuring AI-driven solutions are reliable, scalable, and aligned with enterprise customer needs. This role requires close collaboration across engineering, research, customer-facing teams, and business stakeholders.

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. Advocate for customer needs while balancing technical feasibility, scalability, cost, and enterprise requirements.

Requirements

The ideal candidate is a technically strong product leader with experience building complex software products and a deep understanding of AI-driven systems. They should be comfortable working across research, engineering, and customer teams to deliver innovative solutions at enterprise scale.

Bachelor’s degree in Engineering or a related technical field, with 5+ years of progressive product management experience. MBA from a leading institution is a plus. Proven experience owning complex product areas and delivering technical products for enterprise customers. Strong understanding of conversational AI and autonomous agent systems, including: Large language model (LLM)-based reasoning and tool usage. Multi-step task execution and workflow orchestration. Agent collaboration patterns, including supervisor/sub-agent models and human-in-the-loop escalation. AI evaluation methodologies, including task completion, accuracy, regression testing, and performance monitoring. AI agent observability practices such as tracing, logging, alerting, and failure analysis. Strong technical fluency across APIs, distributed systems, cloud platforms, and AI/ML deployment workflows. Excellent stakeholder management and executive communication skills, with the ability to influence teams without direct authority. Strong customer-focused mindset with experience turning enterprise needs into clear product strategies and requirements. Ability to operate effectively in fast-paced environments with evolving priorities.

Benefits

The role provides the opportunity to work on cutting-edge AI technology while collaborating with talented teams building enterprise-scale solutions.

Opportunity to shape the future of autonomous AI agents and enterprise automation. Exposure to innovative AI research, product development, and large-scale customer deployments. Collaborative environment working across product, engineering, research, and customer teams. Opportunity to contribute to products used by global organizations. Flexible remote work environment. Professional growth opportunities within a rapidly evolving AI technology space.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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