We are looking for a product leader to run a portfolio that includes AI-powered products and to own how our Product Management team applies AI — the strategy, standards, investment decisions, governance and team capability. You will lead and develop a team of Product Managers, own product strategy and P&L; across the portfolio, and raise the organization's product-AI capability.

What "Applied AI" means at Director level. The emphasis shifts from doing the hands-on AI work to judging it, funding the right AI bets and setting the guardrails. This is a product-leadership role — not an engineering, data-science or AI-research role. You set direction and standards for the specialists who build.

Req# (phone hidden)

The recruiting efforts for this position are intended to fill an existing vacancy for a new position.

Responsibilities

- Lead and develop a team of Product Managers running a portfolio that includes AI-powered products; own product strategy, vision and P&L; across that portfolio
- Set an AI-informed product strategy — where AI creates durable advantage, where it is commoditizing, and how to sequence the roadmap against advancing AI capability
- Make build / buy / partner and investment decisions for AI capabilities; own AI business cases and ROI; fund the right experiments and know when to stop them
- Own AI-feature economics and lifecycle across the portfolio — cost, latency, unit economics, pricing, and model-lifecycle decisions (drift, versioning, vendor change)
- Set the standards, operating model and review gates for how the team builds AI features and uses AI in its own work, so quality and responsibility are consistent
- Own responsible-AI governance — privacy, bias, security, transparency, human oversight, audit trails, incident response, and applicable regulation (e.g., EU AI Act) and sector rules
- Raise the team's AI capability through coaching, playbooks, shared prompt/agent libraries and an AI component in the hiring bar; advise business units or clients on adoption
- Direct effective collaboration across product, engineering, data, design and AI/ML teams, keeping product intent, constraints and accountability clear
- Represent the organization credibly on its AI product strategy with senior clients — setting realistic expectations rather than over-promising

Requirements

- 7+ years in Product Management, having managed products, product lines/families and/or groups, with experience leading PM/PO teams; developed and/or launched 3+ products to market, including AI-powered products or capabilities
- Ownership of product vision, roadmap and P&L;, and of strategic roadmap alignment across a portfolio
- Portfolio analysis and strategy formulation; prioritizing spend by ROI and supporting financial models — including AI business cases and build/buy/partner decisions




- Track record aligning product strategy with new technologies, assessing and adopting emerging AI capabilities responsibly
- SME across multiple (3+) business domains; deep grasp of consumer trends, technological disruption and competitive factors — including how AI is reshaping the domain
- AI literacy sufficient to lead — understands AI concepts, capabilities and limitations well enough to make sound portfolio and investment decisions and to challenge technical proposals credibly. ML-engineering / data-science depth is not required
- Able to shape company product strategy, convey difficult messages to senior stakeholders and own key initiatives and business KPIs
- Leads, develops and champions a team of Product Managers across a multi-product portfolio; identifies and plans for performance improvement
- Sets the operating model for how the team applies AI, and raises its proficiency through enablement, coaching and a transparent hiring bar
- AI-informed product/portfolio strategy — advantage vs commoditization, build/buy/ partner, AI business cases and ROI, roadmap sequencing against AI capability
- Responsible-AI governance across the portfolio — privacy, bias, security, transparency, human oversight, audit trails/incident response and relevant regulation
- Ownership of AI-feature economics and lifecycle — cost, latency, unit economics, pricing, drift/versioning/vendor decisions
- Setting AI standards and review gates for how the team builds AI features and uses AI
- Raising team AI capability — enablement, coaching, playbooks, shared tooling, hiring bar
- Ability to evaluate AI outputs, prototypes and technical proposals and fund the right bets
- Working AI literacy — concepts, capabilities and limitations sufficient to lead and challenge
- Continued practical use of AI in own work and adaptability as AI evolves
- Ability to direct effective collaboration across engineering, data, design and AI/ML teams
- Not required: building, training, fine-tuning or deploying ML models; data-science, MLOps or AI-research depth. The Director sets direction and standards for the specialists who do this work

Nice to have

- Deep hands-on AI prototyping or feature-building (valued, but expected to plateau here — it is the Senior PM / IC strength; the Director's job is to judge and fund, not build)
- External thought leadership on AI product management (talks, publications, community)




- Direct experience standing up an AI governance or enablement program at organization scale

We offer

- Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)
- Life and AD&D; Insurance (Company Paid)
- Employee Assistance Program (Company Paid)
- Telehealth (Company Paid)
- Short-term Disability (Company Paid)
- Long-Term Disability
- Paid Time Off (including vacation and sick days)
- Registered Retirement Savings Plan (RRSP) with Company match
- Maternity/Parental/Adoption Leave Top-up
- Employee Stock Purchase Program
- Critical Illness Insurance
- Employee Discounts
- Unlimited access to LinkedIn learning solutions

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
Engineer the Future with a Career at EPAM

EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [email protected] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.

An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.

📌 Director, Product Management | Applied AI (Canada)
🏢 EPAM Systems
📍 Canada