Principal Product Manager

Principal Product Manager Company: Research Engineering Design Canada, Inc ('Redcan')

Location: Remote within Canada, ideally in the Greater Toronto Area, Kitchener-Waterloo, or Vancouver, British Columbia, to support occasional in-person collaboration.

Travel: Travel is regularly expected up to 25% of the time for customer engagements, industry events, and team collaboration, according to business needs.

About Redcan and the Role Redcan builds agentic AI solutions leveraging the enterprise platforms its clients already use including solutions that make enterprise software faster to migrate and configure. The value comes from vertical applications built around existing data, workflows, and rules while people stay on the loop to step in where judgment matters.

We are seeking a Principal Product Manager to lead product strategy and execution across multiple products and initiatives. You will own customer problems and product outcomes from discovery through launch and adoption, balancing priorities, dependencies, and team capacity across the portfolio. Working with a small, experienced team of engineers and designers, you will turn opportunities into validated products and coordinate delivery across teams. You will engage directly with customers and collaborate with portfolio companies in the VC and PE ecosystem. This role calls for an entrepreneurial approach, practical AI proficiency, and the initiative to take on unfamiliar problems and move work forward with sound judgment.

Key Responsibilities and Outcomes Customer and Market Insight

Lead continuous discovery across products with customers, developers, and business users, including public-sector and regulated-industry teams. Turn interviews, workshops, usability sessions, and usage data into clear problem statements.

Identify workflows where AI can deliver measurable value, such as case triage, routing, document search, and work order drafting. Validate demand and feasibility before committing delivery capacity.

Track customer needs, competitors, agent frameworks, model providers, and relevant policy and regulatory developments. Assess their implications across the product portfolio.

Anticipate market shifts and identify opportunities for new products or capabilities. Test assumptions early and use evidence to recommend where to invest.

Outcome: Product priorities reflect validated customer problems and change when new evidence warrants it.

Product Mastery and Solution Fit

Develop enough hands‑on knowledge across the products you lead to run demonstrations, configure pilots, and build working prototypes with limited engineering support. Understand where existing capabilities meet customer needs and where investment is required.

Define requirements for AI‑enabled products and workflows, including tasks, agent roles, permissions, human review, audit trails, and feedback loops.

Guide reusable capabilities and developer tooling where they improve delivery across products. Balance shared standards with the needs of individual customers and markets.

Partner with engineering on architecture decisions that affect security, privacy, tenancy, reliability, or auditability. Identify scale and edge‑case risks early and agree on mitigations.

Outcome: Products solve the intended problems, and AI capabilities are bounded, reviewable, and reliable in use.

Product Strategy and Roadmapping

Own product strategies and coordinated 6 to 12 month roadmaps across multiple products and projects. Prioritize investment and sequence work against customer value, business objectives, dependencies, delivery capacity, and risk.

Lead build, buy, hybrid, and sunset recommendations, supported by customer evidence, cost, expected return, and the alternatives considered.

Decide which capabilities should be shared across products and which should remain product‑specific, considering reuse, delivery speed, quality, and maintenance cost.

Set longer‑term direction and contingency plans for model and vendor dependencies, data residency, and procurement constraints. Help shape positioning, go‑to‑market plans, and pricing for new products.

Outcome: Teams have clear product direction and an achievable sequence of priorities tied to customer and business outcomes.

Execution and Performance

Define and report product success measures, including adoption, customer outcomes, time to value, delivery speed, quality, AI performance, and operating cost.

Design experiments and comparisons with clear success criteria. Use the results to guide investment and improve products after launch.

Write product requirements with measurable outcomes. Coordinate execution across engineering, design, and other stakeholders, with clear ownership, milestones, dependencies, and release readiness.