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About the Role
Redcan builds agentic AI solutions leveraging enterprise platforms. 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.
Responsibilities
- Lead continuous discovery across products with customers, developers, and business users, including public-sector and regulated-industry teams.
- 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.
- Develop hands-on knowledge across the products you lead to run demonstrations, configure pilots, and build working prototypes with limited engineering support.
- 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.
- Partner with engineering on architecture decisions that affect security, privacy, tenancy, reliability, or auditability.
- Own product strategies and coordinated 6 to 12 month roadmaps across multiple products and projects.
- 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.
- Set longer-term direction and contingency plans for model and vendor dependencies, data residency, and procurement constraints.
- 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.
- Write product requirements with measurable outcomes.
- Coordinate execution across engineering, design, and other stakeholders.
- Manage scope and lead user acceptance testing and launch preparation.
- Track risks, blockers, and changes across concurrent initiatives.
- Resolve issues promptly and escalate material trade-offs before they affect customer commitments.
- Partner with engineering and business leaders on capacity planning and return-on-investment assessments across teams.
- Document decisions, trade-offs, and results in shared team materials.
- Present product direction and evidence to executives, engineers, portfolio companies, and customers.
- Align priorities across engineering, design, and business stakeholders.
- Facilitate decisions, resolve competing needs, and secure agreement on scope and expectations.
- Lead customer discovery sessions, demonstrations, workshops, and pilot reviews.
- Translate feedback into actionable product decisions and communicate capabilities and delivery expectations clearly.
- Build collaboration across teams and external partners.
- Represent Redcan products in business reviews and the wider OpenText Ventures ecosystem.
- Mentor product managers, co-ops, and designers.
- Support recruiting and onboarding using Redcan's competency rubrics.
- Create reusable playbooks for product intake, discovery, requirements, launch, and value assessment.
- Take initiative to identify gaps, learn unfamiliar domains, and lead work beyond established responsibilities when needed.
- Exercise commercial judgment, collaborate with specialists, and model Redcan's culture of rigor, curiosity, and continuous improvement.
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience.
- 8+ years of product management experience, including end-to-end ownership of B2B SaaS products or platforms and leadership across multiple products, initiatives, or teams.
- 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 products, including products that 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 effectively to design reviews.
- Practical proficiency with AI tools in day-to-day product work, including prototyping, analysis, research synthesis, and specification writing.
- Able to evaluate AI outputs critically, protect sensitive information, and apply human judgment.
- Demonstrated entrepreneurial initiative, ownership, and communication skills.
- Comfortable managing concurrent priorities, learning beyond existing expertise, and working directly with customers.
- Authorized to work in Canada without sponsorship.
- Willingness and ability to undertake occasional, reasonable business travel.
Skills
- Agentic AI, including tool use, Model Context Protocol (MCP), agent skills, multi-agent orchestration, human-on-the-loop review, and evaluation methods.
- Workflow and case management, including workflow engines, state machines, approvals, service-level deadlines, and task assignment.
- Enterprise SaaS foundations, including multi-tenancy, identity and role-based access control, audit logging, and data residency.
- Hands-on prototyping with AI coding tools such as Claude Code or Cursor, or with AI design tools.
- Canadian public-sector context, such as municipal services or access-to-information processes including ATIP and FIPPA/MFIPPA.
- Experience with OpenText data platforms and the wider ecosystem, or with VC- or PE-backed portfolio companies.
Location
- Remote within Canada
- Ideally in the Greater Toronto Area
- Ideally in Kitchener-Waterloo
- Ideally in Vancouver, British Columbia
Work Type
- Remote
- Full-time
Experience Level
- Principal
Education Level
- Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience.
About the Company
- 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.
Equal Opportunity
- Redcan is an equal opportunity employer that is committed to diversity and inclusion in the workplace.
- We are building products for a diverse world and are committed to building and fostering an environment where our employees feel included, valued, and heard.
- We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.
- We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, provincial, or local laws in the regions we operate.
- This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, or internships.