Principal Technical Product Manager, Evaluations & Governance

Role overview

Product strategy and delivery

• Own the end-to-end product strategy and multi-year roadmap for AI evaluations and governance.
• Lead discovery, requirements definition, prioritization, sequencing, and build-versus-buy-versus-partner decisions.
• Partner with engineering, architecture, and project management teams on feasibility, delivery planning, funding, and trade-offs.
• Represent the capability area to risk, audit, compliance, architecture, governance, vendor, and senior leadership stakeholders.
• Define launch value messaging, target personas, success metrics, and business case inputs.
• Build and lead a team of product managers and establish consistent discovery, prioritization, and delivery practices.

Required qualifications

• 10+ years of product management experience, including several years in risk, compliance, safety, or governance-oriented technology products or services.
• Experience delivering production enterprise AI/ML systems, including hands-on LLM API integration and ownership of testing, evaluation, or monitoring.
• Experience in a regulated industry with direct exposure to audit and regulatory review processes.
• Technical foundation in system design, API integration patterns, data pipelines, and vector database or RAG architecture.
• Excellent communication skills for engaging senior executives and engineering teams.
• University degree in Computer Science, Engineering, or a related technical field, or equivalent experience.

Preferred qualifications

• Experience leading product managers or moving into people leadership from an individual contributor or lead product role.
• Experience converting regulatory or audit requirements into automated processes or tooling.
• Experience with shared interfaces, AI safety, model risk management, automated AI evaluation, observability, or monitoring platforms.
• Familiarity with OSFI E-23, NIST AI RMF, SR 26-2, ISO/IEC 42001, or related AI risk frameworks.
• Experience establishing a new function in a scaling organization.

Workplace

• The posting lists an RBC office address in Toronto but does not explicitly state an onsite, hybrid, or remote work policy.

Compensation

• The posting identifies the role as full time, regular, and salaried but does not state a compensation cadence or amount.

Benefits

• RBC describes total rewards that may include bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.
• Additional offerings include flexible work-life balance options, development support, training, and challenging work opportunities.

About the AI Group