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Added 5 mins ago
G
Cybersecurity Consultant II - CAN
GLI
Fredericton, NB · Moncton, NB · Halifax, NS
- Full-time
…that identify and exploit vulnerabilities across networks, systems, cloud environments, web and mobile applications, and APIs. You will take on larger, more complex engagements, simulating…
Added 5 mins ago
FD
Warehouse Associate - Day Shift - Guelph, ON - Full Time, Permanent
Fraser Direct
Guelph, ON
- $17.95 to $19.5 CAD / hour
- Full-time
Prior experience using RF scanners and voice-picking systems
Added 5 mins ago
FC
Maintenance Manager
FLEET CANADA INC
Fort Erie, ON
- $70,000 to $90,000 CAD / year
- Full-time
…responsible for overseeing maintenance activities, people, systems, vendors, facilities, utilities, and departmental…
Added 5 mins ago
FC
Manufacturing Engineer - Composites/Aerospace
FLEET CANADA INC
Fort Erie, ON
- $70,000 to $85,000 CAD / year
- Full-time
Working knowledge of MRP systems, item masters, planning processes, tool orders, and document control functions.
Added 5 mins ago
FC
Liaison Engineering Specialist
FLEET CANADA INC
Fort Erie, ON
- $60,000 to $90,000 CAD / year
- Full-time
Strong computer skills, including ERP systems, MRB software, and Microsoft Office.
Added 5 mins ago
FC
Quality Engineering Manager
FLEET CANADA INC
Fort Erie, ON
- $60,000 to $90,000 CAD / year
- Full-time
Added 5 mins ago
FC
Supply Chain Buyer / Procurement
FLEET CANADA INC
Fort Erie, ON
- $50,000 to $65,000 CAD / year
- Full-time
Prepare reports, manage department filing systems, and maintain accurate records.
Added 5 mins ago
FC
Quality System Analyst
FLEET CANADA INC
Fort Erie, ON
- $60,000 to $70,000 CAD / year
- Full-time
We are seeking an experienced Quality Systems Analyst to support and continuously improve our Quality Management System (QMS) within a highly regulated aerospace manufacturing environment.…
Added 5 mins ago
FC
CNC Machinist
FLEET CANADA INC
Fort Erie, ON
- $27 to $33 CAD / hour
- Full-time
Familiarity with AS9100 or similar quality systems
Added 5 mins ago
FC
NDT Inspector
FLEET CANADA INC
Fort Erie, ON
- $20 to $27 CAD / hour
- Full-time
Experience with ERP systems for work prioritization and tracking
Added 5 mins ago
FC
Senior Methods Planner - Assembly
FLEET CANADA INC
Fort Erie, ON
- $70,000 to $85,000 CAD / year
- Full-time
Working knowledge of MRP systems, item masters, planning processes, tool orders, and document control functions.
Added 5 mins ago
Methods Planner - Aerospace
FLEET CANADA INC
Fort Erie, ON
Working knowledge of MRP systems, item masters, planning processes, tool orders, and document control functions.
Added 5 mins ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
…Canada. You will unblock critical environment work, accelerate developer velocity through faster builds and reproducible environments, and provide same-timezone incident response for…
Added 5 mins ago
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Contract Administrator
AtkinsRéalis
Calgary, AB
- Full-time
…technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 18 mins ago
BM
Retail Store Supervisor - Winter - Full/Part-time
Blue Mountain Resort
The Blue Mountains, ON
- Part-time
Experience with cash handling, point-of-sale systems, inventory management, and retail operations.
Added 20 mins ago
GP
Production Manager - Paper Bag Manufacturing
Gather Packaging
Toronto, ON · North York, ON
- $100,000 to $120,000 CAD / year
- Full-time
This is an opportunity to join us at an important stage of our growth and help build the manufacturing standards, systems and skilled workforce that will define our operation for years to…
Added 20 mins ago
X
Quantum Software Developer - FTQC Software (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
…logical software abstractions and real-world hardware control systems. Your mission will be to ensure our quantum software stack is fully optimized and ready to unlock the capabilities of…
Added 20 mins ago
X
Quantum Software Developer - Performance
Xanadu
Toronto, ON
- Full-time
Experience in low-level systems programming (e.g. direct memory management, low-latency communication, heterogeneous hardware peripherals)
Added 20 mins ago
X
System Software Developer - Performance
Xanadu
Toronto, ON
- Full-time
Demonstrated experience in low-level networking/systems programming (e.g. networking/low-latency communication (RDMA), concurrency and authoring of high-performance libraries, OS internals)
Added 20 mins ago
X
Software Developer - Frontend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 20 mins ago
X
Software Developer - Backend (Intermediate to Senior)
Xanadu
Toronto, ON
- Full-time
As a Software Developer, you will help build out the pennylane.ai ecosystem of products. The goal of pennylane.ai is to help pioneer quantum software development as a discipline and spread…
Added 20 mins ago
X
Quantum Scientist - Algorithms
Xanadu
Toronto, ON
- Full-time
Experience with periodic and condensed-matter systems: k-point sampling, pseudopotentials, strongly correlated models, and first-quantized simulation approaches.
Added 20 mins ago
X
Quantum Scientist - Finance
Xanadu
Toronto, ON
- Full-time
Design quantum algorithms for the PDEs underlying derivative pricing and risk, including linear-systems and differential-equation solvers and the input/output bottlenecks that govern their…
Added 20 mins ago
X
AI Specialist - Representation and Reinforcement Learning
Xanadu
Toronto, ON
- Full-time
Modeling and simulation of physical systems on high performance computing hardware
Added 20 mins ago
X
AI Developer - Agentic System
Xanadu
Toronto, ON
- Full-time
As an AI Developer at Xanadu, you will play a crucial role in integrating generative AI into our R&D methodologies. This unique position allows you to contribute to the development of our…

EPAM Systems

Senior Product Manager | Applied AI

Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 10, 2026

Original job description

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

Apply About employer

More about this job

Responsibilities

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.

Skills

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

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

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Artificial Intelligence
Generative AI
Large Language Models
Machine Learning
AI-Powered Products
Product Management
Product Strategy
Product Roadmap
Product Lifecycle
AI Feature Evaluation
Quality Bars
Guardrails
Human-in-the-Loop Review
Responsible AI
Privacy
Bias
Security
Transparency
AI Output Verification
Backlog Management
Release Cycles
Model Drift
Model Versioning
AI Economics
Cost and Latency Trade-Offs
Recommendations
Search
Automation
EU AI Act

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