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Added 1 min ago
Specialist, Customer Experience & Enterprise Applications (Non-Union)
Alectra Utilities
Guelph, ON · Hamilton, ON · Mississauga, ON · St. Catharines, ON · Vaughan, ON
Lead system enhancements and integrations, gather input, and support development of test plans and System Integration Testing (SIT).
Added 46 mins ago
DC
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- Full-time
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Added 46 mins ago
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- Full-time
Leaders who support your development through coaching and managing opportunities.
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LBMX

Product Manager

London, ON, N6A 5P3, Canada

Salary Range: $100,000 - $115,000, based on experience and qualifications · Full-time

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Job details

Pay: Salary Range: $100,000 - $115,000, based on experience and qualifications
Job type: Full-time
Positions available: 1
Posting language: English
Posted: Oct 28, 2026

Original job description

Product Manager

About LBMX

LBMX is a dynamic and growing SaaS company with an international perspective, proudly based in London, Ontario. As we continue our strong growth trajectory, we’re looking for talented, driven, and collaborative individuals to join us and help shape what’s next.

Recognized as one of Canada’s Top 100 Employers, LBMX combines strong performance with a people-first culture. We believe in building meaningful careers, supporting work-life balance, and creating an environment where your contributions are valued and your growth is encouraged.

At LBMX, you’ll have the opportunity to grow, contribute meaningfully, and be part of a team building something exceptional.

Position Description:

In this role, you'll be part of ideation and solution design from the start, bringing your own ideas and a point of view grounded in customers and data. Then you'll carry the work through - resolving the details with engineering, running customer feedback and validation sessions, and owning the metrics that tell us whether what we shipped is working. Principals set the strategic direction for their areas; you help decide how we get there, and make sure nothing between idea and outcome stalls.

AI fluency is core to this role. We are moving to an AI-native SDLC, where specs, prototypes, and code move far faster than before. You'll use AI tools daily to write and refine specs, synthesize customer feedback, collaborate on prototypes, analyze usage data, and generate the release content our teams need, so your time goes to judgment, customers, and decisions. This role is designed as a growth path - working closely with experienced Principals is the fastest way to learn how great product decisions get made, and to take on more of them yourself.

Candidates must be legally eligible to work in Canada.

Positions Available: 1

What You Will Do:

Shaping the Product

Contribute ideas and identify opportunities from customer conversations, usage data, support trends, and what new AI capabilities make possible, and bring them forward with evidence.

Work alongside the Principal Product Managers and the Product Design Lead on discovery, problem framing, and solution design: pressure-testing ideas, prototyping options with AI, and turning direction into a clear plan.

Take on problems that aren’t fully defined and own the workstream from start to finish, through to a measured outcome.

Bring a point of view: challenge assumptions with evidence from customers, data, and engineering.

Building with Engineering in an AI-native SDLC

Be the day-to-day product partner for engineering: join standups and refinement, answer questions quickly, and make scope and trade-off calls within agreed guardrails.

Write clear, testable specs and acceptance criteria, using AI to draft, stress-test, and refine them, and to produce working prototypes where that's faster than a document.

Adapt how product and engineering work together as AI changes the pace of delivery: shorter cycles, faster prototypes, and earlier customer validation.

Triage incoming bugs and enhancement requests for your area, and close the loop with whoever raised them.

Customers, Research & Validation

Plan, coordinate, and run customer feedback sessions, usability tests, betas, and validation calls: recruiting the right customers, preparing the materials, and synthesizing what you learn.

Partner with the Product Design Lead on research and usability testing, so customer evidence shapes the design before it's built.

Metrics, Adoption & Launch

Define success metrics for every release with the Principal for that area, then own the tracking: instrumentation, dashboards, and regular reporting on adoption and impact.

Spot where customers drop off or don't adopt, and drive the fixes: product changes, in-product guidance, or targeted outreach.

Own launch readiness for your area: brief Sales, Support, and Implementation, and make sure the demo environment and standard demo reflect what's shipped.

Supply the source content for release notes, training, and help documentation (generated largely with AI from specs and tickets) for Customer & Integration Ops to deliver to customers.

What You Will bring:

3–6 years in product management or a closely related role (product owner, business analyst, solutions consultant, engineer moving into product) in B2B SaaS.

Hands-on experience running customer conversations: discovery calls, usability tests, betas, or UAT, and enjoying it.

Strong working relationship with engineers: comfortable in technical discussions, writing specs they can build from, and making trade-off calls.

Data fluency: able to define metrics, pull and analyze usage data, and build simple dashboards (SQL, Amplitude, Mixpanel, Power BI, or similar).

Daily, practical use of AI tools (e.g., Claude, ChatGPT, Copilot) across product work (specs, prototyping, research synthesis, and analysis), with the judgment to check and correct their output.

Curious, organized, and fast: you close loops, keep momentum, and don't need to be chased.

Experience with EDI, supply chain, distribution, rebates, or buying-group environments considered an asset.

Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent experience.

Compensation

Salary Range: $100,000 - $115,000, based on experience and qualifications

What You Can Expect at LBMX

Competitive compensation and a comprehensive benefit package, including a health spending account and employee assistance program
Three weeks’ vacation and five personal days to start, plus additional paid LBMX holidays throughout the year
Company matched GRSP contributions
Flexible summer hours and a strong commitment to work-life balance
Education subsidies to support your professional growth
Maternity, Parental, and Compassionate Care Leave top-up program
$500 new hire home office allowance

LBMX is committed to building an inclusive workplace. We encourage applications from qualified individuals of all backgrounds, and we are dedicated to providing accommodations throughout the recruitment and employment process. If you require accommodation at any stage, please let us know.

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More about this job

Responsibilities

You will drive product strategy and execution by collaborating with engineering in an AI-native SDLC to deliver high-impact solutions. You will also own the end-to-end product lifecycle, from customer discovery and research to defining success metrics and managing launch readiness.

Requirements

Candidates must have 3–6 years of experience in product management or a related role within B2B SaaS. A bachelor's degree in a relevant field and strong technical fluency, including practical experience with AI tools and data analysis, are required.

Skills

Product management
B2B SaaS
AI fluency
Data analysis
Customer discovery
Usability testing
Technical writing
Engineering collaboration
SQL
Amplitude
Mixpanel
Power BI
Prototyping
Product strategy
Metrics tracking
Stakeholder management

Benefits

Health spending account
Employee assistance program
Three weeks vacation
Five personal days
Company matched GRSP contributions
Flexible summer hours
Education subsidies
Maternity leave top-up
Parental leave top-up
New hire home office allowance

Visa sponsorship

Not detected in the job text

Keywords

Product Manager
SaaS
AI-native SDLC
B2B
Engineering
Product Design
Customer Feedback
Data Fluency
SQL
Amplitude
Mixpanel
Power BI
Claude
ChatGPT
Copilot
EDI
Supply Chain
Distribution
Rebates
Buying-group
Discovery calls
Usability tests
UAT
Acceptance criteria
Product strategy
Metrics
Dashboards
Launch readiness
Release notes
Technical specifications

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