Senior Product Manager | Applied AI

Job summary

Own the vision, strategy, roadmap, and end-to-end delivery of one or more products, including at least one AI-powered product, and define requirements, evaluation criteria, quality standards, and safeguards for AI features. Use AI tools across product work, identify and justify AI opportunities, coordinate with engineering, data, design, and AI/ML teams, manage product releases and lifecycle risks, and mentor other Product Managers.

Job details

We are growing a product-management team that runs AI-powered products and applies AI across the whole product lifecycle. As a Senior Product Manager | Applied AI, you will own the vision, strategy, roadmap and delivery of one or more products — at least one of them AI-powered — while using AI day-to-day to work faster and make sharper decisions and mentoring other Product Managers as you do. What "Applied AI" means here. This is a product role, not an engineering role. We expect confident, practical command of AI as a product manager — using it across the lifecycle and shaping AI-powered features — not the ability to build, train or tune machine-learning models as an ML engineer or data scientist would. Req# 1100335863 The recruiting efforts for this position are intended to fill an existing vacancy for a new position. Responsibilities Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-powered Define requirements and use cases for AI features, treating them as probabilistic products — scoping data and use-case fit, and setting evaluation criteria, quality bars, guardrails and human-in-the-loop review as acceptance criteria Identify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for it Use AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on them Prioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisions Manage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversight Work closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisions Set realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain language Mentor Product Managers and raise the team's practical AI capability by example Requirements 5+ years in Product Management, having managed one or more products end-to-end, including post-launch maintenance and support Launched more than one product (or key capability) to market, with at least one experience delivering or materially improving an AI-powered product or feature (e.g., GenAI, ML, recommendations, search or automation) Solid ownership of product strategy, vision and roadmap; market analysis and product visioning — including identifying and justifying where AI adds value Experience owning backlogs, cross-product dependencies and release cycles, and managing product lifecycle and support models Familiarity with product profitability, competitive positioning and pricing — including the cost, latency and quality trade-offs that shape AI-feature economics Expertise across multiple (3+) business domains, able to act as a business-domain SME Working AI literacy — what current AI (including GenAI/LLMs) can and cannot do reliably, common patterns and typical failure modes — enough to make sound product decisions and hold credible conversations with technical teams. Deep model-building knowledge is not required Able to influence stakeholders up to and including VP level, and to lead all critical aspects of a product launch Able to lead a team of Product Owners and/or Product Managers across a product line or family, guiding them through the full lifecycle Raises the team's practical AI proficiency — sharing verified ways of working and coaching on requirements and evaluation criteria for AI features Practical, daily use of AI across research, discovery, analysis, documentation, user stories, prototyping and planning — with verification of outputs Ability to identify and justify AI opportunities in products, processes, CX and business outcomes Working AI literacy — concepts, terminology, capabilities and limitations at PM depth Experience defining requirements and use cases for AI features, including evaluation criteria, quality bars, guardrails and human oversight Ability to evaluate AI outputs for quality, accuracy, risk, limitations and user impact Responsible-AI awareness — privacy, bias, security, transparency and human oversight Ability to work effectively with engineering, data, design and AI/ML teams Adaptability and continuous learning as AI tools and capabilities evolve Nice to have Hands-on prototyping with AI builder tools to near-production fidelity Building PM agents / multi-step automations across research, backlog, analytics and comms Understanding of AI-feature economics (cost, latency, unit economics) and model lifecycle (drift, versioning, vendor change) Familiarity with AI regulation (e.g., EU AI Act) and relevant sector rules Prior experience taking an AI-powered product to production at 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 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. EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA WFAHRCA@epam.com 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. 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

What you’ll do

Own the vision, strategy, roadmap, and end-to-end delivery of one or more products, including at least one AI-powered product, and define requirements, evaluation criteria, quality standards, and safeguards for AI features. Use AI tools across product work, identify and justify AI opportunities, coordinate with engineering, data, design, and AI/ML teams, manage product releases and lifecycle risks, and mentor other Product Managers.

Requirements

Requires 5+ years of end-to-end Product Management experience, multiple product or capability launches, and experience delivering or materially improving an AI-powered product or feature. Candidates need strong product strategy and lifecycle ownership, practical AI literacy and daily AI tool use, responsible-AI awareness, cross-functional and senior-stakeholder influence, and the ability to lead and coach Product Managers across multiple business domains.

Benefits

• Extended Healthcare
• Prescription Drug Coverage
• Dental Insurance
• Vision Insurance
• Healthcare Spending Account
• Life Insurance
• Accidental Death and Dismemberment Insurance
• Employee Assistance Program
• Telehealth
• Short-Term Disability Insurance
• Long-Term Disability Insurance
• Paid Time Off
• Registered Retirement Savings Plan with Company Match
• Maternity, Parental, and Adoption Leave Top-Up
• Employee Stock Purchase Program
• Critical Illness Insurance
• Employee Discounts
• LinkedIn Learning Access

Listed skills

• Stakeholder Management · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Product Strategy
• Product Vision and Roadmapping
• Product Lifecycle Management
• AI Product Management
• Generative AI and Large Language Models
• AI Requirements and Use Cases
• AI Evaluation and Quality Criteria
• Responsible AI
• Backlog Management
• Release Management
• Market Analysis
• Product Profitability and Pricing
• Stakeholder Management
• Cross-Functional Leadership
• Product Launch Leadership
• Mentoring and Coaching

Job areas

• Technology
• Management & Leadership
• Software
• Data & Analytics

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