AI Product Management

RBC•New York, NY
•$120,000 - $225,000•Onsite

About The Position

The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Product Manager to develop desk-facing solutions with Sales & Trading. The role requires product-management expertise for AI and data products, applied AI and Generative AI fluency, and quantitative understanding of pricing and trading contexts. The manager will lead how initiatives are framed, prioritized, built, and governed across workflows involving client understanding, pricing, and sales. The position partners with Sales & Trading and engineering, data science, and quantitative teams to turn business needs into scoped, testable products. It owns product roadmaps and sequencing, defines delivery expectations and acceptance criteria, supports evaluation and adoption, and carries initiatives through risk, compliance, and AI governance requirements. Building models is not part of the role. This is a full-time, salaried position based in New York, with a stated work schedule of 40 hours per week. The expected salary range is $120,000 to $225,000, with potential additional discretionary variable compensation.

Requirements

  • At least 5 years of experience delivering AI, analytics, or data products for professional users in capital markets or a similarly regulated setting.
  • Demonstrated ability to convert unstructured stakeholder requests into scoped, testable problem definitions with clear success criteria and take them through delivery, evaluation, and adoption with end-to-end ownership.
  • Experience prioritizing competing requests from multiple business and technology stakeholders and aligning them on scope, sequencing, and acceptance criteria.
  • Demonstrated product-management experience, including discovery, roadmap ownership, defining acceptance criteria, and measuring adoption.
  • Applied AI and Generative AI fluency sufficient to work effectively with engineering and data science partners, including understanding evaluation, reliability, and known limitations; building models is not part of the role.
  • Quantitative comfort with pricing, trading, and risk concepts and ability to work credibly with quantitative stakeholders.
  • Strong written and verbal communication skills with senior stakeholders, including concise presentation of options, trade-offs, and recommendations.
  • Understanding of Sales & Trading workflows within Capital Markets.

Nice To Haves

  • Post-secondary degree in a STEM discipline, Quantitative Finance, Economics, or a related quantitative field, or equivalent hands-on technical experience.
  • Experience delivering AI or data products in a regulated or security-conscious environment, including exposure to model risk, compliance, or AI governance processes.
  • Exposure to electronic trading, automated pricing, or predictive analytics initiatives.
  • Risk concepts, market microstructure, and quantitative finance fluency for pricing, trading, and risk-management contexts.

Responsibilities

  • Identify and prioritize desk-facing applied AI opportunities for Sales & Trading, particularly those improving client understanding, pricing, and the link between pricing and sales.
  • Translate ambiguous commercial questions and business needs into scoped, testable product definitions with clear success criteria.
  • Own the product roadmap and sequencing across initiatives, documenting prioritization decisions and trade-offs and aligning delivery expectations with stakeholders and partners.
  • Bridge Sales & Trading with engineering, data science, and quantitative partners by establishing shared problem definitions, acceptance criteria, and evidence that capabilities work for their users.
  • Drive adoption of delivered capabilities and incorporate real-user feedback after release, focusing on usability, reliability, and practical value.
  • Ensure risk, compliance, and AI governance requirements—including controls, documentation, and human oversight—are understood early and met before capabilities reach users.

Benefits

  • Comprehensive Total Rewards Program with competitive compensation and flexible benefits.
  • 401(k) program with company-matching contributions.
  • Health, dental, vision, life, and disability insurance.
  • Paid time off.
  • Discretionary variable compensation program, subject to business performance targets and individual goals.
  • Development support through coaching and management opportunities.
  • Opportunities to do challenging work and build close relationships with clients.
  • Opportunity to make a difference and lasting impact.
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