Principal Product Manager

Role and Company

Customer and Market Insight

• Lead discovery with customers, developers, and business users, including public-sector and regulated-industry teams; turn research and usage data into problem statements.
• Identify AI workflow opportunities, validate demand and feasibility, and track market, competitor, technology, policy, and regulatory developments.
• Test product and market assumptions early and use evidence to recommend investment.

Product Mastery and Solution Fit

• Build hands-on product knowledge to demonstrate products, configure pilots, and create working prototypes with limited engineering support.
• Define AI product and workflow requirements, including tasks, agent roles, permissions, human review, audit trails, and feedback loops.
• Guide reusable capabilities and developer tooling; partner with engineering on architecture decisions affecting security, privacy, tenancy, reliability, and auditability.

Strategy and Execution

• Own product strategies and coordinated 6–12 month roadmaps across products and projects; prioritize against customer value, business goals, dependencies, capacity, and risk.
• Lead build, buy, hybrid, and sunset recommendations and decisions about shared or product-specific capabilities.
• Plan for model and vendor dependencies, data residency, and procurement constraints; help shape positioning, go-to-market plans, and pricing.
• Define product success measures, design experiments, write measurable requirements, and coordinate delivery, user acceptance testing, and launch preparation.
• Track risks, blockers, and changes; resolve issues, escalate trade-offs, and partner on capacity planning and return-on-investment assessments.

Customer Engagement and Leadership

• Present product direction and evidence to executives, engineers, portfolio companies, and customers; facilitate decisions and align stakeholders.
• Lead discovery sessions, demonstrations, workshops, and pilot reviews; translate feedback into product decisions and communicate delivery expectations.
• Mentor product managers, co-ops, and designers; support recruiting and onboarding; create reusable product playbooks.
• Take initiative on unfamiliar problems, exercise commercial judgment, and build collaboration across teams and external partners.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Business, or equivalent education or work experience.
• At least 8 years of product management experience, including end-to-end B2B SaaS product or platform ownership and leadership across multiple products, initiatives, or teams.
• Experience shipping AI- or LLM-powered features to production and understanding quality evaluation, failure modes, and cost management.
• Experience with developer platforms, enterprise software, or workflow and low-code products.
• Experience in government, the public sector, or regulated industries where auditability, privacy, and procurement shape decisions.
• Technical fluency with architecture documents, API specifications, and pull requests; practical AI tool proficiency for prototyping, analysis, research, and specifications.
• Entrepreneurial initiative, ownership, communication, ability to manage concurrent priorities, and comfort working directly with customers.
• Authorized to work in Canada without sponsorship and willing and able to undertake occasional, reasonable business travel.

Preferred Skills and Experience

• Preferred: agentic AI, including tool use, MCP, agent skills, multi-agent orchestration, human-on-the-loop review, and evaluation methods.
• Preferred: workflow and case management, including workflow engines, state machines, approvals, service-level deadlines, and task assignment.
• Preferred: enterprise SaaS foundations such as multi-tenancy, identity, role-based access control, audit logging, and data residency.
• Preferred: hands-on prototyping with AI coding tools such as Claude Code or Cursor, or AI design tools.
• Preferred: Canadian public-sector context, including municipal services, ATIP, or FIPPA/MFIPPA processes.
• Preferred: OpenText data platforms and ecosystem, or VC- or PE-backed portfolio company experience.