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Added 2 hours ago
GC
Staff Software Engineer - GNSS / INS
Garmin Canada
Cochrane, AB
- Full-time
Contributes inventions, new designs, and techniques regarded as significant advances to the product and/or application development process
Added 3 hours ago
W
Full Stack Engineer
Wiraa
Canada
- Full-time
…digital landscape. The company’s focus on high-quality software development, cloud-native architectures, and agile practices positions it as a trusted partner for enterprise clients seeking…
Added 3 hours ago
AN
Project Manager (Design-Build)
Avia NG Airport Consultants
Richmond Hill, ON
- $100,000 to $140,000 CAD / year
- Full-time
You will manage the development and coordination and review of design submissions, drawings, specifications, calculations, cost estimates, quantity takeoffs, technical reports, and…
Added 8 hours ago
HR
OCS Senior Engineer
Hitachi Rail
Mississauga, ON
- Full-time
Hitachi Rail (STS) is seeking an enthusiastic self-motivated Senior OCS (Overhead Catenary System) Engineer to work on our HMLRT project. As the successful candidate your ideas for…
Added 10 hours ago
ES
Lead AI Engineer
EPAM Systems
Canada
- Full-time
We are looking for a Lead Software Engineer (7+ years of experience) to join a high-caliber product team building a next-generation AI-powered financial assistant platform. In this role,…
Added 12 hours ago
A
Lead Document Control Senior
AtkinsRéalis
Vancouver, BC
- Full-time
Responsible for overseeing, implementing, maintaining, and supporting the continued development of tools, systems, processes, and procedures.
Added 13 hours ago
RE
Senior Drilling & Completions Engineer
Rubellite Energy
AB · Calgary, Alberta
- Full-time
This role requires an experienced drilling and completions engineer who thrives in a collaborative,
Added 13 hours ago
X
Senior Software Developer - Automation Systems
Xanadu
Toronto, ON
- Full-time
As a Senior Software Developer on our AI team, you will be a hands-on individual contributor who sets the technical bar for the internal AI research platform that accelerates Xanadu's R&D.…
Added 13 hours ago
X
Senior Electrical Engineer
Xanadu
Toronto, ON
- Full-time
…electronic boards for photonic quantum computers. In the role of senior electrical engineer, you will contribute your experience spanning precision analog measurement and digital control.…
Added 13 hours ago
X
Senior Photonics Engineer - Homodyne Detection
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Integrated Homodyne to participate in designing, developing and experimentally validating cutting-edge photonic systems. You will be working with…
Added 13 hours ago
X
Senior Photonic Engineer - Experimentalist
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonic Engineer – Experimentalist to participate in designing, developing and experimentally validating cutting-edge photonic systems. Your primary focus will be…
Added 13 hours ago
X
Senior Mechanical Engineer
Xanadu
Toronto, ON
- Full-time
…solutions, and apply it to Xanadu's rack-scale quantum computer development. In the role of mechanical engineer, you will join a growing team to model all elements that make up our complex…
Added 13 hours ago
X
Senior Low Temperature Device Engineer (SNSPDs)
Xanadu
Toronto, ON
- Full-time
● Contribute to the end-to-end device development lifecycle, from concept through validation and deployment in multi-pixel arrays
Added 13 hours ago
X
Senior Cryogenic Engineer
Xanadu
Toronto, ON
- Full-time
Xanadu is looking for a Cryogenic Engineer to lead designing, developing, and building Xanadu’s next generation cryostats as well as contribute to the build-out of our facility-level…
Added 13 hours ago
X
Senior Photonics Design Engineer
Xanadu
Toronto, ON
- Full-time
We are seeking a Senior Photonics Design Engineer to drive the design and scaling of state-of-the-art passive and active components powering Xanadu’s future fault-tolerant quantum hardware.…
Added 13 hours ago
X
Senior Photonics Engineer - Experimental Nonlinear Optics
Xanadu
Toronto, ON
- Full-time
Benchmarking: Contribute to next-generation squeezer development by benchmarking experiments against nonlinear simulations and analytical models.
Added 13 hours ago
X
Senior Photonics Design Engineer - Integrated Nonlinear Optics
Xanadu
Toronto, ON
- Full-time
Experience working in a collaborative team-based development environment, preferably using version control systems such as git
Added 13 hours ago
X
Senior Analog ASIC Design Engineer
Xanadu
Toronto, ON
- Full-time
We are looking for an experienced and driven ASIC Engineer to join our hardware team and contribute to the development of cutting-edge photonic quantum computing systems. If you thrive on…
Added 13 hours ago
X
Sr. Packaging NPI Engineer
Xanadu
Toronto, ON
- Full-time
We are looking for a highly motivated and experienced Senior Packaging New Product Introduction (NPI) Engineer to join our dedicated engineering team. In this pivotal role, you will lead…
Added 13 hours ago
X
Packaging Engineer - Die Bonding Process
Xanadu
Toronto, ON
- Full-time
…contribute directly to Xanadu’s rack-scale quantum computer development. In the role of Packaging Engineer, you will work under the guidance of senior engineers to operate, optimize, and…
Added 13 hours ago
X
Process Integration Engineer - SNSPD Nanofabrication
Xanadu
Quebec, QC
- Full-time
While we are primarily seeking a Process Integration Engineer, we are open to considering candidates for a Senior role should their experience and technical leadership significantly exceed…
Added 14 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
Identify practical opportunities to use AI in applications and the software development lifecycle
Added 16 hours ago
AC
Senior Analytics Engineer
Aviva Canada
Markham, ON
- Full-time
Outstanding career development opportunities.
Added 16 hours ago
LC
Senior Director, Pharmacy Experience and Transformation
Loblaw Companies Limited
Toronto, ON
- Full-time
Post-Secondary education in Industrial or Process Engineer / Technology / Business/ Healthcare or Operations
Added 19 hours ago
LD
Senior ILS Engineer
Leonardo DRS
Bedford, QC
- Full-time
Reporting to the Manager, Engineering the ILS Engineer supports logistics, product support, and reliability activities throughout the program lifecycle, including analyzing engineering…

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

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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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