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. 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. You will engage directly with customers and collaborate with portfolio companies in the VC and PE ecosystem. 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. Track customer needs, competitors, agent frameworks, model providers, and relevant policy and regulatory developments. Anticipate market shifts and identify opportunities for new products or capabilities. Test assumptions early and use evidence to recommend where to invest.



Product priorities reflect validated customer problems and change when new evidence warrants it. 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. Balance shared standards with the needs of individual customers and markets. Identify scale and edge‑case risks early and agree on mitigations. 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 recent products. 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. Manage scope and lead user acceptance testing and launch preparation. Track risks, blockers, and changes across concurrent initiatives. Resolve issues promptly and elevate material trade-offs before they affect customer commitments. Teams deliver coordinated releases and measurable customer value, with clear accountability for progress, quality, and results. Customer Engagement and Influence Document decisions, trade‑offs, and results in shared team materials, and revisit them against outcomes. Present product direction and evidence to executives, engineers, portfolio companies, and customers, adjusting the depth and framing for each audience. Lead customer discovery sessions, demonstrations, workshops, and pilot reviews. Customers and stakeholders understand what we are building, why it matters, and what it will take to deliver. Mentor product managers, co‑ops, and designers, including coaching on discovery, product requirements, and evidence‑based decisions. Exercise commercial judgment, collaborate with specialists, and model Redcan's culture of rigor, curiosity, and continuous improvement. Teams become more effective, new opportunities receive disciplined attention, and useful practices carry forward across projects. Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience. ~Experience shipping AI or LLM-powered features to production, with an understanding of quality evaluation, failure modes, and cost management. ~ Experience with developer platforms, enterprise software, or workflow and low-code produ

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