Principal Product Manager
R
Research Engineering Design Canada, Inc ('Redcan')Enterprise AI software
Remote within CanadaFull-TimePrincipal
Salary150,000 - 190,000 CAD per year
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Job Details
- Experience
- 8+ years of product management experience
- Required Skills
- Product Management
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience.
- 8+ years of product management experience.
- End-to-end ownership experience with B2B SaaS products or platforms.
- Experience leading across multiple products, initiatives, or teams.
- Experience shipping AI or LLM-powered features to production.
- Understanding of AI quality evaluation, failure modes, and cost management.
- Experience with developer platforms, enterprise software, or workflow and low-code products, including products other teams build on.
- Experience in government, the public sector, or regulated industries where auditability, privacy, and procurement shape product decisions.
- Technical fluency to understand architecture documents, API specifications, and pull requests, and contribute to design reviews.
- Practical proficiency with AI tools for prototyping, analysis, research synthesis, and specification writing, including critical evaluation of outputs and protection of sensitive information.
- Demonstrated entrepreneurial initiative, ownership, and communication skills; ability to manage concurrent priorities, learn unfamiliar domains, and work directly with customers.
- Agentic AI experience, including tool use, Model Context Protocol (MCP), agent skills, multi-agent orchestration, human-on-the-loop review, and evaluation methods, is preferred.
Responsibilities
- Lead continuous product discovery with customers, developers, and business users, and turn research and usage data into problem statements.
- Identify and validate AI workflow opportunities, customer demand, and feasibility before committing delivery capacity.
- Develop product knowledge to demonstrate products, configure pilots, and build working prototypes with limited engineering support.
- Define requirements for AI-enabled products and workflows, including agent roles, permissions, human review, audit trails, and feedback loops.
- Own product strategies and coordinated 6- to 12-month roadmaps across products and projects.
- Make build, buy, hybrid, and sunset recommendations using customer evidence, cost, expected return, and alternatives.
- Define and report product success measures, design experiments, and use results to guide investment and improve products.
- Coordinate execution across engineering, design, and other stakeholders, managing requirements, milestones, dependencies, scope, testing, and launch preparation.
- Lead customer discovery sessions, demonstrations, workshops, and pilot reviews, translating feedback into product decisions.
- Mentor product managers, co-ops, and designers, and create reusable playbooks for product intake, discovery, requirements, launch, and value assessment.
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