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Added 1 day ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind…
Added 2 days ago
R
Lead Data Scientist
RBC
Toronto, ON
- Full-time
As a Lead Data Scientist in the Governance & Insights team, you will build the standards, patterns, and tools that enable RBC's AI transformation at scale. You'll be the architect behind…
Added 2 days ago
6
Senior Product Manager, WinZip
69805dbf-d10e-4118-99f6-cb47a709a502
Canada
- $130,000 to $160,000 CAD / year
- Full-time
We are transforming the WinZip portfolio, and we are hiring a Senior Product Manager in Canada to help lead that shift. You will own product areas end-to-end: roadmap, execution, and…
Added 2 days ago
1
Senior Product Manager, WinZip
1cc465ff-d8d9-4507-a995-318f570f237f
Canada
- $130,000 to $160,000 CAD / year
- Full-time
We are transforming the WinZip portfolio, and we are hiring a Senior Product Manager in Canada to help lead that shift. You will own product areas end-to-end: roadmap, execution, and…
Added 3 days ago
C
Technical Lead, Innovation
Croesus
Montreal, QC · Laval, QC
- Full-time
Lead the people, and make the work count (the rest of your time). You directly lead our innovation developers and researchers: their growth, their focus, their delivery. Real one-on-ones,…
Added 4 days ago
SL
Regulatory Analyst
Saskatchewan Liquor & Gaming Authority (SLGA)
Regina, SK
- $91,140 to $118,168 CAD / year
- Temporary
…conducting inter-jurisdictional comparisons to effectively lead and coordinate the development and review of SLGA and Government policies related to charitable gaming. Responsibilities also…
Added 4 days ago
Product Manager
HTS Engineering Ltd.
Toronto, ON
Leads problem and solution discovery through user interviews, data analysis, research, and experiments, partnering with Business Solutions Specialists on business-process validation and…
Added 4 days ago
R
SEO/GEO Lead
Rentsync
Westmount, QC
- $100,000 to $140,000 CAD / year
…strategy or advisory role - you identify opportunities and lead their implementation through hands-on execution and delegation. The ideal candidate is motivated by genuine ownership and the…
Added 4 days ago
Director, Solutions Architecture - Enterprise Architecture (Chicago)
Fitch Group
Toronto, ON
Fitch Group is seeking a Director, Solutions Architecture based in our Toronto office, reporting to the Lead Enterprise Architect for the Fitch Group line of business you support.
Added 6 days ago
C
Human Resources Support Administrator | Permanent Full Time (1.0 FTE) | CHEO Research Institute
CHEO
Canada
- Full-time
CHEO Research Institute – Office of Research Services (ORS)
Added 9 days ago
Senior Software Test Engineer
Coursera
Toronto, ON
Research and identify AI augmented agentic solutions and lead large-scale test automation initiatives
Added 10 days ago
CI
Director, Public & Alternative Investments, Data Platforms
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
…closely with your business-aligned product owner, you will lead a talented team of data engineers and analysts and own the end-to-end lifecycle of PMAA data, from vendor and internal feeds…
Added 10 days ago
M
Data and Business Intelligence Architect
Michelin
Magog, QC
- Full-time
Hybrid work - 3 days at Michelin's Magog research center, according to current policy
Added 12 days ago
T
Software Engineer III (Adobe Tech Lead)
TD
Toronto, ON
- Full-time
EMT Group is seeking an experienced Senior Adobe Tech Lead to join our Portfolio team, providing Technical Design, Development, Process Improvements, and training/mentoring as necessary for…
Added 12 days ago
M
I&IT Field Support Services Technician
Metrolinx
Toronto, ON · Scarborough
- Full-time
…information regarding incidents using thorough diagnostic and research procedures, in addition to interviewing and/or connecting remotely to end-users located at all corporate networked…
Added 12 days ago
P
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
…the solution for the customer - using Patsnap’s data, APIs, MCP capabilities and AI tools to create agents, workflows, prototypes and proof-of-concepts that bring their use case to…
Added 16 days ago
R
Principal Product Manager
REDCAN
Remote, Canada
- $150,000 to $190,000 CAD / year
- Full-time
- Remote
Company: Research Engineering Design Canada, Inc ('Redcan')
Added 17 days ago
D
Senior UX Designer – Data Services
DNV
Montreal, QC
- Full-time
Lead the design of complex, data-dense workflows across enterprise applications serving the DNV global user base, from discovery and problem framing through detailed interaction design and…
Added 18 days ago
A
Senior Sales Engineer
Ataccama
Toronto, ON
- Full-time
Spearhead Proof of Concepts (POCs): Lead and execute Proof of Concepts (POCs), demonstrating the platform’s effectiveness in addressing client-specific business pains and customizing the…
Added 19 days ago
TR
JREQ203081 Staff Software Engineer I (Open)
Thomson Reuters
Toronto, ON
- Full-time
Define the agent invocation model for the catalog: clean tool boundaries exposed over MCP (Model Context Protocol), result payloads designed for token economy, and latency budgets that hold…
Added 19 days ago
F
Senior AI Architect (Architect-Practitioner)
Fastloop
Vancouver, BC
- Full-time
…data foundations and applied AI, helping clients move from research concepts to real, deployed…
Added 20 days ago
Senior or Staff Software Engineer, Backend
League Inc.
Canada
Lead technical design and planning for platform initiatives, authoring and reviewing architecture decision records: at Staff level, own architecture direction across multiple pods
Added 20 days ago
Director of Software Development R&D - AI
Siemens
Saskatoon, SK
…electronic systems design lifecycle. In this role, you will lead the development and production deployment of industrial-grade generative and agentic AI capabilities that are purpose-built…
Added 23 days ago
Senior Product Manager - Developer Productivity
Okta
Toronto, ON
…getting outsized results and turn their patterns into playbooks; lead build, buy, integrate, and standardize decisions, including the vision for reducing implementation diversity across…
Added 24 days ago
TR
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
- Full-time
…enterprise software products. This is not a pure architecture, research, data science, or proof-of-concept role. You will remain deeply hands-on in the code while providing Staff-level…

HTS Engineering Ltd.

Product Manager

Toronto, ON, Canada

Salary Range: $130k-$160k

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Job details

Pay: Salary Range: $130k-$160k
Experience: 5+ years of product management experience with B2B or enterprise software
Posting language: English
Posted: Oct 21, 2026

Original job description

Founded in 2015 in Toronto, Canada, KORE Solutions is a subsidiary company of HTS and an innovative technology solutions and services provider with a strong focus on the HVAC manufacturer’s representative industry. With a variety of offerings including business intelligence software, help service support, and more, KORE delivers end-to-end solutions that empower our partners and clients to build their successful business.

At KORE, communication and collaboration is our top priority. As a team member, you’ll be working closely with all departments to develop our software, TRAX, and the infrastructure surrounding it. We have a strong teamwork-oriented culture, meaning you’re surrounded by resources who want you to succeed. Your contributions will also have a direct impact. You’ll be providing meaningful change to the company and serve to enhance our processes.

Job Mandate

The Product Manager reports to the Director, Business Solutions, who, as Product Owner, sets product vision, strategy, and priorities. As a trusted advisor to the Product Owner, the Product Manager helps shape KORE’s AI and application strategy and translates it into product goals, roadmaps, and a prioritized backlog. The primary focus of the role is building KORE’s enterprise AI platform from the ground up – integrating third-party large language models (LLMs), business applications, and external services to deliver AI capabilities across HTS’s 20 locations in the US and Canada. The role also supports KORE’s business applications, including TRAX, through their ongoing enhancement and modernization, and develops expert knowledge of HTS’s business as a manufacturers’ representative to represent the voice of its users.

This is an individual contributor role with no direct reports. The Product Manager leads through influence, aligning Enterprise Delivery, Engineering, Architecture, and Solution Specialists so that each initiative is clearly defined and delivers measurable business value. Decisions on product direction, roadmap commitments, and priorities across initiatives rest with the Product Owner; the Product Manager has authority to make day-to-day product decisions within that approved direction, brings evidence-based recommendations to inform strategic decisions, and keeps the Product Owner consulted and informed. Enterprise Delivery decides when and how approved work lands, and Engineering builds and runs the technology.

Major Responsibilities:

AI Platform Strategy & Roadmap

Develops and maintains the AI platform roadmap within the direction set by the Product Owner, recommending the sequencing of capabilities – such as generative AI assistants, retrieval-augmented generation (RAG) over enterprise content, and AI agents that automate business workflows – based on business value, feasibility, and risk.
Identifies and assesses AI use cases with stakeholders across HTS and KORE, recommends priorities to the Product Owner, and validates approved use cases through prototypes and pilots before scaling.
Defines high-level requirements for third-party integrations with LLM providers, business applications, and external services through APIs and connectors, in partnership with Architecture and Engineering.
Leads the evaluation of LLMs, AI vendors, and tools against criteria such as output quality, latency, cost, security, data residency, and vendor lock-in, and provides recommendations to inform build, buy, or partner decisions.
Defines quality and evaluation criteria for AI capabilities – including accuracy, grounding, hallucination rates, and user feedback – and monitors their performance, usage, and operating cost in production.
Embeds responsible AI practices – data privacy, access control, human oversight, transparency, and guardrails – into product requirements, in partnership with Architecture and Security.

KORE Application Product Management

Translates the Product Owner’s strategy into roadmaps for KORE’s business applications, including TRAX, balancing new capabilities, enhancements, and production needs with the modernization of legacy functionality.
Leads product planning for legacy application modernization, proposing target capabilities, phased migration and retirement plans, and continuity of data and business workflows for Product Owner approval, in partnership with Architecture.
Assesses legacy functionality based on usage and business value, recommends what to retain, redesign, replace, or retire, and identifies where AI can simplify or automate existing processes.
Reviews roadmaps regularly against changes in business needs, capacity, and technology direction, and brings proposed changes to the Product Owner for approval before they are made.

Business Domain Expertise & Voice of the User

Develops and maintains an expert understanding of HTS’s business as a manufacturers’ representative – including sales, quoting, order management, project tracking, commissions, and relationships with manufacturers and customers – by working directly with users across the business.
Represents the voice of users in product decisions, translating their workflows, pain points, and business drivers into clear problem statements and product requirements.
Leads problem and solution discovery through user interviews, data analysis, research, and experiments, partnering with Business Solutions Specialists on business-process validation and with Architecture on feasibility.

Backlog & Prioritization

Maintains a single prioritized product backlog aligned to the approved roadmaps, defining epics and high-level requirements with clear business context and expected outcomes.
Has authority to make day-to-day product decisions within the approved roadmap, including backlog sequencing, requirement detail, discovery approach, and AI evaluation methods.
Consults the Product Owner before changes to approved direction, roadmap commitments, or priorities across initiatives, presenting options, trade-offs, and a recommendation, and communicates decisions to delivery teams.
Works with Enterprise Delivery Business Analysts, who elaborate epics into detailed requirements, user stories, and acceptance criteria, and with UX/UI Designers to ensure design work reflects product intent.
Uses estimates and capacity inputs from Enterprise Delivery and Engineering to inform prioritization and roadmap commitments.

Stakeholder Alignment & Product Outcomes

Defines product goals and value measures – such as adoption, efficiency, time saved, and return on investment – and tracks results after release.
Keeps the Product Owner informed of progress, risks, and emerging issues, and communicates roadmap progress and approved priority changes to stakeholders, translating AI concepts and constraints into clear business terms.
Participates in release-readiness and user acceptance reviews to confirm solutions meet product intent, while Enterprise Delivery owns release governance and testing.
Supports go-live and adoption planning, and uses user feedback and usage data to inform future iterations.
Supports the Director, Business Solutions, with portfolio investment decisions, vendor evaluations, and negotiations.

Working Conditions:

Hybrid of remote work and office setting
Office setting - Open, collaborative office space (may vary by location)
Fast paced environment with tight deadlines
Reliable access to personal transportation is a requirement

Minimum Required Technical Skills/Qualifications:

Knowledge, Education, Training:

Bachelor’s degree or higher in Computer Science, Engineering, Business, or a related field; product management or AI certifications (e.g., Pragmatic Institute, CSPO, or AI product management programs) are assets.

Experience:

5+ years of product management experience with B2B or enterprise software
2+ years leading product management for AI or generative AI platform capabilities in production – such as multi-model LLM integration, connections to business applications and external services, evaluation and monitoring frameworks, and AI governance – beyond individual AI features
Proven experience developing roadmaps and managing prioritized backlogs in an agile environment
Experience leading application modernization, such as moving legacy or ERP applications to modern, cloud-based architectures, is an asset
Experience in the manufacturers’ representative, distribution, HVAC, or construction industries is an asset

Technical Skills:

Strong working knowledge of generative AI and LLM concepts, including prompt engineering, RAG, embeddings and vector search, fine-tuning trade-offs, AI agents and tool use, model evaluation, and hallucination risk
Understanding of AI platform architecture and integration patterns, including APIs, connectors and protocols such as the Model Context Protocol (MCP), identity and access, data pipelines, and cloud AI services from major LLM providers
Familiarity with responsible AI, data privacy, and security practices, and frameworks such as the NIST AI Risk Management Framework
Strong quantitative analysis skills and a data-driven approach to problem solving, including measuring AI quality, usage, and cost
Working knowledge of product discovery and prioritization frameworks (e.g., OKRs, RICE, Jobs-to-be-Done)
Understanding of UX/UI principles, including conversational and AI-assisted experiences, sufficient to evaluate design work
Understanding of application modernization approaches (e.g., refactor, re-architect, replace, incremental migration) and cloud-native architecture is an asset
Experience managing product in JIRA is an asset; familiarity with ClickUp and Microsoft 365 is an asset

Minimum Required Behavioural / Soft Skills:

Strong communication skills, with the ability to explain complex AI and technical concepts to business stakeholders and leadership
Proven ability to lead through influence and to manage multiple stakeholders and competing requests
Operates with clear decision rights – acts decisively within approved direction and brings strategic trade-offs to the Product Owner early
Curious and committed to continuous learning in a fast-evolving AI landscape
Deep empathy for users and a commitment to understanding the business domain first-hand
Self-motivated, highly organized, and able to prioritize effectively in a fast-paced environment
Comfortable managing ambiguity, complexity, and interdependencies within a product development cycle

Salary Range: $130k-$160k

In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, KORE is an equal opportunity employer. We are committed to a workplace of diversity and inclusion. KORE encourages applications from all candidates that represent the full range of communities across Canada. All qualified applicants will be considered for employment without discrimination on the basis of race, colour, age, religion, sexual orientation, gender identity, disability, national or ethnic origin or any other factors prohibited by law. Accommodations are available upon request, for all aspects of the recruiting process and thereafter.

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More about this job

Responsibilities

Shape AI and application product roadmaps and maintain a prioritized backlog, including development of an enterprise AI platform and modernization of business applications such as TRAX. Gather user and business needs, align delivery and engineering stakeholders, evaluate AI solutions, and track product outcomes, quality, adoption, and cost.

Requirements

Requires a bachelor’s degree or higher in Computer Science, Engineering, Business, or a related field, at least five years of B2B or enterprise software product management experience, and at least two years leading production AI or generative AI platform capabilities. Candidates should understand LLMs, AI platform architecture, responsible AI, product discovery and prioritization, and be able to lead through influence and communicate technical concepts clearly.

Skills

Product Management
Generative AI
Large Language Models
AI Platform Strategy
Product Roadmapping
Backlog Prioritization
Application Modernization
API Integration
Retrieval-Augmented Generation
AI Evaluation and Monitoring
Responsible AI
Data Privacy and Security
Stakeholder Management
Agile Product Development
User Research
Quantitative Analysis

Visa sponsorship

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Keywords

Enterprise AI Platform
Generative AI
Large Language Models
Retrieval-Augmented Generation
Embeddings
Vector Search
AI Agents
Prompt Engineering
Model Evaluation
AI Governance
Responsible AI
NIST AI Risk Management Framework
APIs
Connectors
Model Context Protocol
Cloud AI Services
Data Pipelines
Identity and Access Management
TRAX
Application Modernization
Cloud-Native Architecture
Agile
JIRA
ClickUp
Microsoft 365
OKRs
RICE
Jobs-to-be-Done
HVAC
Manufacturers’ Representative

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