Staff Product Manager, AI Agents & Intelligence
J
JobgetherSaaS AI
CanadaFull-TimeStaff
SalaryCAD $150,000–$180,000
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Job Details
- Experience
- 6+ years
- Required Skills
- Artificial IntelligenceProduct ManagementProduct AnalyticsRESTful APIsLLM
Requirements
- 6+ years of product management experience, including experience delivering AI-powered features, intelligent agents, APIs, or technically complex products to production.
- Proven ability to create and execute product strategies, balancing long-term vision with practical delivery priorities.
- Strong understanding of AI/LLM technologies, including model behavior, evaluation approaches, observability, and responsible AI practices.
- Experience using data and analytics to guide product decisions, measure adoption, and demonstrate business impact.
- Familiarity with usage-based monetization models, product analytics tools, and quantitative decision-making.
- Ability to collaborate effectively with engineering, design, customer success, and business teams in a fast-moving environment.
- Strong communication skills with the ability to explain complex technical concepts to diverse audiences.
- Experience working independently in remote or distributed teams while maintaining strong collaboration and accountability.
- Knowledge of AI-assisted development tools and workflows is highly valued.
- Familiarity with LLM observability platforms, agent safety frameworks, continuous delivery practices, or human-in-the-loop AI design is a plus.
Responsibilities
- Define and evolve the AI product vision, strategy, and roadmap, creating a forward-looking product thesis that responds to emerging AI trends and customer opportunities.
- Lead the development and delivery of AI agent platforms, including agent capabilities, permissions, integrations, and user-facing experiences.
- Drive AI product monetization strategies, including pricing models, packaging approaches, and measurement of business value generated through automation.
- Establish product analytics, AI observability practices, and success metrics to evaluate adoption, performance, reliability, and customer impact.
- Partner closely with engineering, design, and customer teams to translate complex AI capabilities into clear product requirements and successful releases.
- Conduct customer discovery, gather feedback, validate hypotheses, and continuously improve AI-powered experiences.
- Ensure safe and reliable AI deployments through thoughtful design of validation processes, user controls, transparency, and governance practices.
- Communicate product progress, strategic decisions, and business impact to leadership and internal stakeholders.
- Mentor and influence product practices by promoting innovation, collaboration, and customer-focused decision-making.
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