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Added 4 mins ago
TI
Account Manager (Influencer Marketing & Social Media)
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Toronto, ON
- Full-time
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Added 4 mins ago
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- $70,000 to $90,000 CAD / year
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Added 6 mins ago
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
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Senior Manager, Forward deployed Decision Scientist
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- Full-time
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- Full-time
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Manager / Senior Manager, AI Model Risk & Operational Risk Oversight, Global Risk
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Senior Manager, Data Risk Oversight
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Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
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Added 2 hours ago
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RBC

Principal Technical Product Manager, Evaluations & Governance

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 31, 2026
Experience: 10+ years of product management experience, including several years focused on risk, compliance, safety, or governance-oriented technology products or services
Posting language: English
Posted: Oct 15, 2026

Original job description

Job Description

What is the opportunity?

Deploying AI at scale in Canada's largest bank is the opportunity of a lifetime. This role focuses on one of the most critical enablers of AI at RBC, connecting deep evaluation of agents' performance and accuracy with the risk-based governance that allows AI to be enabled for safe use.

Own product strategy for the evaluations and governance capabilities that let the bank build and scale agentic AI responsibly - the layer that assesses AI system quality and safety before and after deployment, and turns those assessments into risk and compliance reporting that business leaders across the bank can act on. This is the single accountable product leader for a capability area that sits at the center of how the bank governs its growing AI footprint, partnering closely with engineering leadership, risk, and compliance stakeholders to keep pace with an area that's evolving quickly both technically and regulatorily.

What will you do?

Product Strategy & Roadmap

Own end-to-end product strategy and a multi-year roadmap for the evaluations and governance capability area, prioritized against business risk, regulatory need, and platform adoption
Lead discovery and requirements definition, translating input from engineering, risk, compliance, and business stakeholders into clear product requirements
Own portfolio-level prioritization and sequencing across the capability area's roadmap, balancing near-term regulatory/compliance needs against longer-term platform investment
Evaluate build-vs-buy-vs-partner options for evaluation and governance tooling, weighing internal investment against third-party solutions

Delivery Partnership

Partner with engineering and architecture leadership on feasibility, sequencing, and trade-offs, converging on a plan both sides can commit to
Work with the project-management function to convert prioritized requirements into a funded, scheduled program of work
Stay engaged through delivery, resolving product-scope questions and re-planning trade-offs as they arise

Stakeholder & Business Engagement

Represent the capability area to risk, audit, and compliance stakeholders across the bank's business lines
Serve as the primary product voice to senior leadership on the health and trajectory of the capability area
Represent product considerations within architecture reviews, governance forums, and vendor evaluations
Partner with adjacent product and engineering leaders across the platform so requirements are considered early, not retrofitted later

Launch & Value Input

Help define value messaging and target user personas for the capability area's launches, in partnership with your peer Principal for go-to-market
Define and track success metrics for the capability area and use them to inform ongoing prioritization
Contribute the capability area's inputs into the broader business case articulating value delivered

People Leadership

Build, mentor, and lead a team of product managers focused on evaluations and governance, giving them ownership of their individual areas
Help your team apply consistent discovery, prioritization, and delivery practices as they build out their own areas
Foster a culture of iterative delivery, understanding of user needs, and decision-making backed by data

What do you need to succeed?

Must-have:

10+ years of product management experience, including several years focused on risk, compliance, safety, or governance-oriented technology products or services
Demonstrated experience delivering production AI/ML systems in an enterprise environment, including hands-on experience with LLM API integration (e.g., Anthropic Claude, OpenAI, Azure OpenAI, or equivalent) and direct ownership of how those systems are tested, evaluated, or monitored for quality and risk
Experience operating in a regulated industry (e.g., financial services, healthcare, government) with direct exposure to audit and regulatory review processes
Strong technical foundation - able to engage credibly with engineers and architects on system design, API integration patterns (authentication, rate limiting, observability), data pipelines, and vector database/retrieval-augmented generation (RAG) architecture as it relates to evaluating AI system outputs
Excellent communication skills, with proven ability to represent a complex technical and risk-related agenda credibly to both senior executives and engineering teams
University degree in a technical field (Computer Science, Engineering, or related), or equivalent experience

Nice-to-have:

Experience leading and developing other product managers, or a track record of stepping into a people-leadership role from an individual-contributor/lead-level product position
Demonstrated experience building products that convert regulatory or audit requirements into automated processes or tooling
Experience defining shared interfaces or working agreements between two or more engineering teams building interdependent systems
Prior experience specifically with AI safety, model risk management, or automated evaluation of AI/ML systems, rather than general software QA/compliance
Experience with observability or monitoring platforms for distributed or ML-based systems
Familiarity with AI-specific financial-services regulatory and risk-management frameworks (e.g., OSFI Guideline E-23, NIST AI RMF, SR 26-2, ISO/IEC 42001) - familiarity with the direction these are heading is more relevant than hands-on implementation experience, since several (e.g., OSFI E-23) are not yet in force Experience standing up a net-new function inside a scaling organization, rather than in a steady-state team

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services
Flexible work/life balance options
Opportunities to do challenging work

About the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

#TechPJ

Job Skills

Communication, Critical Thinking, Effectiveness Measurement, Financial Regulation, Interpersonal Relationship Management, Long Term Planning, Product Development Lifecycle, Product Development Methodology, Product Services, Results-Oriented, Waterfall Model

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-08

Application Deadline:

2026-10-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

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More about this job

Responsibilities

The Principal Technical Product Manager will own the end-to-end product strategy and roadmap for AI evaluations and governance capabilities. They will lead a team of product managers while partnering with engineering, risk, and compliance stakeholders to ensure safe and scalable AI deployment.

Requirements

Candidates must have 10+ years of product management experience with a focus on risk, compliance, or governance-oriented technology. A strong technical foundation in AI/ML systems, LLM integration, and experience in a regulated industry is required.

Skills

Product management
AI/ML systems
Risk management
Compliance
Governance
LLM API integration
Technical strategy
Stakeholder management
Data pipelines
RAG architecture
System design
People leadership
Regulatory frameworks
Observability
Product roadmap
Vendor evaluation

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock options
Coaching and management opportunities
World-class training program
Flexible work/life balance

Visa sponsorship

Not detected in the job text

Keywords

Product Management
AI
Machine Learning
Governance
Risk Management
Compliance
LLM
Anthropic Claude
OpenAI
Azure OpenAI
RAG
Vector Database
API Integration
Observability
OSFI Guideline E-23
NIST AI RMF
ISO/IEC 42001
Agentic AI
Product Strategy
Stakeholder Engagement
Technical Leadership
Data Pipelines
Regulatory Review
Audit
Model Risk Management
Software QA
Distributed Systems
Financial Services
Product Roadmap
People Leadership

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