Job DescriptionWhat's the opportunity?This is an opportunity for a Technical Product Manager who has owned products, shaped roadmaps, and worked closely with engineering on AI Platforms.
In the RBC AI Group, you'll be part of a fast-paced, dedicated, and passionate product team that works directly with engineering, product management, machine learning researchers, and advisory teams to deliver AI solutions that create value to our RBC clients. Our mission is to think big and go beyond what's possible today to help unlock the full potential of AI for RBC.
The Lumina AI and Data team is at the forefront of creating the next generation platform that empowers all teams at RBC to build innovative AI solutions. Our goal is to empower our customers to create transformative AI and ML solutions off data that they securely store in our compliant data platform, to create new and innovative experiences for their customers - all while helping to accelerate RBC's AI digital transformation.
Lumina is a platform that targets personas ranging from data engineers, software engineers, machine learning researchers and business analysts, so you'll need to have the technical background to truly understand the users that we're building for; at the same time, you'll need to have the product chops to help deliver and grow a product that users will love and solves real customer and business problems.
What will you do? As a Principal Product Manager on the Lumina Product team, you'll get a chance to build and lead a portfolio of innovative AI and Data platform products for RBC and partner with enterprise teams to use and continuously improve them. You will be responsible for defining and delivering products that solve high-impact business problems and driving the strategic product roadmaps for your portfolio with the support of the engineering, advisory and research teams.
You will partner with engineering teams building AL/ML platforms on AWS and Azure using modern data platforms such as Databricks or Snowflake to define capabilities that enable scalable, enterprise grade AI solutions.
- Own product vision - Define 'what' and 'why' the platform should build, and what business and user problems they will solve;
- Act as the glue with customers and key stakeholders to derive insights to inform product strategy and planning;
- Lead product discovery
- Drive Product Strategy
- Influence without authority
- Measure success through customer outcomes
- Champion the product
What do you need to succeed? - You are a Technical Product Manager who has shipped products, owning product strategy throughout the full product lifecycle- defined roadmaps, prioritized features and delivered products from concept through launch and adoption.
- You have a strong technical understanding of AL/ML Platforms. Experience partnering with engineering teams building machine learning or GenAI products, with familiarity with AWS or Azure and modern data platforms such as Databricks or Snowflake.
- You have a customer first mindset and a proven ability to engage customers, identify unmet needs, translate feedback into product requirements, and prioritize capabilities that create measurable business value.
- You are a strategic thinker with strong influence skills. You are comfortable leading cross-functional teams, influencing engineering and business stakeholders, and driving product vision in a fast-paced AI environment.
Nice to have- Bachelor's degree in computer science, engineering, or a related field. Master's or MBA is a plus
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Job SkillsBusiness Case Design, Critical Thinking, Knowledge Organization, Product Development Lifecycle, Product Development Methodology, Product Manufacturing, Product Services, Product Testing, Results-Oriented, Waterfall Model
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-09
Application Deadline:2026-07-17
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
