Staff AI Product Manager

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff AI Product Manager based in Canada. This is an exciting opportunity for a seasoned AI product leader to shape the future of enterprise generative AI and agentic AI solutions. You will define product vision, lead strategic decision-making, and transform promising AI concepts into reliable, production-ready systems. Working at the intersection of product strategy, engineering, and enterprise consulting, you will drive initiatives from discovery and prototyping through deployment and scale. You will collaborate closely with engineering teams, AWS specialists, and executive stakeholders to deliver solutions that address real business challenges. The role combines hands-on technical exploration with high-level product leadership, requiring a deep understanding of AI architectures, evaluation frameworks, and responsible deployment. You will also establish best practices, mentor other product managers, and influence how enterprise AI products are designed, evaluated, and delivered. If you thrive in a fast-paced, collaborative environment and are passionate about turning AI innovation into measurable business value, this role offers significant ownership and impact. Accountabilities - Define AI product strategy: Develop and own the vision, roadmap, and delivery strategy for enterprise generative AI and agentic AI solutions, translating business objectives into clear priorities and measurable outcomes. - Lead product discovery and validation: Research enterprise user needs, identify adoption barriers, formulate testable hypotheses, and build prototypes to validate assumptions before committing to full-scale development.

- Drive AI architecture decisions: Collaborate with engineering teams to evaluate multi-model architectures and balance quality, cost, latency, scalability, and reliability across AI-powered workflows. - Design and optimize AI agents: Define agent behavior, system prompts, tool schemas, context management, memory strategies, human-in-the-loop controls, safety guardrails, and failure recovery mechanisms. - Manage product delivery: Own backlogs, prioritize competing workstreams, refine requirements, coordinate sprint execution, and keep cross-functional teams focused on delivering production-ready solutions efficiently. - Establish evaluation and measurement frameworks: Develop and maintain evaluation processes that assess task completion, reasoning quality, tool selection, safety, and recovery from failures. Define success metrics covering quality, cost per task, user trust, and escalation rates. - Ensure production readiness: Partner with engineering teams to establish observability, drift detection, prompt versioning, and other operational practices required to maintain reliable AI systems after deployment. - Communicate business impact: Define initiative-level performance indicators, report outcomes to leadership, and connect technical decisions to measurable business value and long-term platform sustainability. - Advise clients and stakeholders: Build trusted relationships with client executives, communicate AI capabilities and limitations clearly, manage expectations, and guide decisions on scope, timelines, and technical trade-offs. - Collaborate with technology partners: Work with AWS solution architects and account teams to align on technical approaches, service selection, and go-to-market strategies for enterprise AI solutions. - Establish product leadership standards: Develop reusable product delivery practices, agent design patterns, evaluation methodologies, deployment playbooks, and knowledge-transfer materials. - Mentor and influence: Support the development of other AI product managers, strengthen product judgment across teams, monitor emerging AI trends, and contribute to proposals and business development initiatives.