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Jobs in Canada

25+ jobs

Added 43 mins ago
T
Staff Machine Learning Engineer
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.
Added 43 mins ago
M
Software Engineer II
Microsoft
Vancouver, BC
- Full-time
…Services. Operating across 25+ global regions, our messaging platform processes billions of messages daily and supports hundreds of millions of users, including 400M+ monthly active users…
Added 1 hour ago
M
Senior Analytics Engineer - GTM
Motive
Vancouver, BC
- Full-time
…single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying…
Added 1 hour ago
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Lead Product Manager, Technical
Jobgether
Canada
- Full-time
…you will own a strategic product domain and develop shared platform capabilities that empower teams across the organization. You will define product vision, establish roadmaps, and align…
Added 1 hour ago
L
Senior Technical Recruiter
LiveKit
Canada
- Full-time
LiveKit is building the infrastructure layer for the voice-driven era of computing. Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in…
Added 1 hour ago
W
Principal Software Development Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a Principal Full Stack Software Engineer in Agent Factory, you’ll help build the user-facing and platform experiences that bring Workday’s AI agents to life. Working within a small,…
Added 2 hours ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
Remarcable builds the software that keeps trade contractors' crews equipped and on schedule. Our platform brings material procurement, inventory and tool tracking, prefab requisitions and…
Added 2 hours ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
Our Data team is the backbone of Nesto Cloud, managing the flow of data that powers Canada’s most advanced mortgage platform. As a Senior Data Reliability Developer, you won't just be…
Added 2 hours ago
EW
Senior Plant Process Engineer
ERCO Worldwide
Saskatoon, SK
- Full-time
ERCO Worldwide is looking for a Senior Plant Process Engineer to join our Saskatoon team! Under supervision of the Plant Manager, the Senior Plant Process Engineer monitors processes within…
Added 2 hours ago
T
Senior Solutions Engineer / Architect
Thri5
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Thri5 is an AI execution platform for retail operations. We help grocers and retailers turn plans into action in stores, using AI agents and workflows that frontline and head-office teams…
Added 2 hours ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital world…
Added 3 hours ago
D
Principal Software Engineer, Docker Hardened Images
Docker
Remote, Canada
- Full-time
- Remote
…security-conscious environments. We're looking for a Principal Software Engineer to set the long-term technical direction for this catalogue and shape how the broader container security…
Added 3 hours ago
S
Staff Software Engineer, Payments Intelligence
Stripe
Toronto, ON
- Full-time
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 3 hours ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
We are seeking a hands-on Senior Data Engineer for a contract opportunity supporting key enterprise data initiatives within a financial services environment.
Added 3 hours ago
W
AI Engineer, Data, AI and Analytics
WestJet
Calgary, AB
- Temporary
Strong troubleshooting and problem-solving skills with the ability to work across application, platform, and infrastructure domains.
Added 4 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
As a Forward Deployed AI Engineer, you will work independently on a diverse set of well-defined and emerging problems, using sound judgment to adapt established engineering patterns to the…
Added 4 hours ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…data hygiene across our Website CMS (Webflow), Customer Data Platform (CDP), and marketing…
Added 4 hours ago
SP
Lead Solution Engineer, ECS, Public Sector
Salesforce Partner Canada
Toronto, ON
- Full-time
…state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right…
Added 4 hours ago
T
Intermediate Software Engineer
TekRek
Toronto, ON
- Full-time
You get real ownership of full features on a production financial platform, a team that treats AI-assisted development as standard practice rather than an experiment, and direct exposure to…
Added 4 hours ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Vancouver, BC · Toronto, ON
- Full-time
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 4 hours ago
IC
Compiler Engineer
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
The Compiler Engineering team in Data Center Group at Intel has an opportunity available for a Compiler Engineer.
Added 4 hours ago
IC
Senior Compiler Engineer
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
The Compiler Engineering team in Data Center Group at Intel has an opportunity available for a Senior Compiler Engineer.
Added 5 hours ago
Q
Staff SoC Design Engineer
quadric
Remote, Canada
- Full-time
- Remote
Quadric is building a revolutionary new processor-based SoC architecture. As a Staff SoC Design Engineer, you will get in on the ground floor as a key member of our chip design team,…
Added 5 hours ago
CE
Network Engineer
Capgemini Engineering
Toronto, ON
- Full-time
We are seeking an experienced Network Engineer to audit, assess, implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will…
Added 5 hours ago
Staff Machine Learning Engineer
Twilio
ON
Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team.

Lead Product Manager, Technical

Canada

U.S. base salary reference range of $200,000–$230,000; compensation for Canadian-based candidates may vary according to location, experience, skills, and applicable local pay requirements. · Full-time

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Job details

Pay: U.S. base salary reference range of $200,000–$230,000; compensation for Canadian-based candidates may vary according to location, experience, skills, and applicable local pay requirements.
Job type: Full-time
Posting language: English
Posted: Oct 26, 2026

Original job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Lead Product Manager, Technical based in Canada.

This is an opportunity to shape technically complex products within a growing, globally distributed R&D organization serving the private markets industry. As a Lead Product Manager, Technical, you will own a strategic product domain and develop shared platform capabilities that empower teams across the organization. You will define product vision, establish roadmaps, and align engineering and business stakeholders around priorities that drive long-term impact. Working at the intersection of product strategy, data, infrastructure, and emerging technologies, you will help create scalable, reliable, and secure solutions. You will also champion adoption, translate technical complexity into clear business outcomes, and use data and customer feedback to guide decisions. This role is ideal for an autonomous, technically curious product leader who thrives in ambiguity and enjoys building foundational capabilities that support company-wide growth.

Accountabilities

Product strategy and ownership: Lead a large, technically complex product area, define success criteria, prioritize key problems, and establish a strategy aligned with broader business objectives.
Roadmap development: Identify short- and long-term opportunities, build consensus on priorities, and sequence initiatives based on engineering capacity, business needs, technical risk, and expected impact.
Shared platform capabilities: Treat internal platform services and shared capabilities as products in their own right, ensuring they are well documented, easy to adopt, and scalable across multiple teams.
Adoption and reliability: Establish clear expectations for adoption, reliability, and quality, and monitor how consistently teams use shared capabilities rather than creating separate solutions.
Technical decision-making: Partner with engineering leadership on architecture discussions, evaluating trade-offs involving build-versus-buy decisions, technical debt, scalability, and implementation sequencing.
Technology research and innovation: Research industry best practices and emerging technologies, including AI, and translate findings into actionable product strategy.
Stakeholder collaboration: Develop effective feedback channels with stakeholders across and beyond R&D, incorporating their insights into prioritization and product development.
Metrics and continuous improvement: Define success metrics and key performance indicators, track outcomes, and adapt product strategy as new information and business needs emerge.
Influence and adoption leadership: Communicate a compelling technical vision, build trust across teams, align stakeholders, and drive adoption through influence rather than direct authority.
End-to-end product leadership: Operate autonomously, apply first-principles thinking, and maintain a strong focus on customer needs, product quality, and security throughout the product lifecycle.

Requirements

Professional experience: At least 8 years of experience in product management or a comparable role, including a minimum of 5 years working with technical platform, data, or infrastructure products.
Platform product expertise: Proven experience owning shared capabilities used across multiple teams, with a strong track record of driving adoption and creating value beyond a single team or function.
Technical problem-solving: Demonstrated ability to manage complex technical challenges and develop durable, scalable solutions that balance immediate needs with long-term architecture and maintainability.
Strategic thinking: Ability to connect product decisions to wider business goals, identify high-impact opportunities, and make informed prioritization decisions in evolving environments.
Communication skills: Excellent written and verbal communication, including the ability to explain complex technical concepts clearly to technical and nontechnical stakeholders.
Autonomy and adaptability: A track record of working independently in ambiguous environments, establishing direction, and building alignment without relying on predefined processes.
Cross-functional leadership: Strong stakeholder management and influencing skills, with the ability to earn trust, facilitate technical and business discussions, and drive decisions across teams.
Analytical mindset: Experience defining meaningful KPIs, measuring product outcomes, and using data and feedback to refine roadmaps and improve adoption.
Technical curiosity: Comfort participating in technical discussions and engaging deeply with engineering teams. Previous engineering experience is beneficial but not required.
Preferred AI experience: Practical examples of using large language model (LLM)-based agents to automate real-world workflows.
Preferred engineering background: Previous experience as a software engineer or in another technical role is an advantage.

Benefits

Competitive base salary, equity, and a comprehensive benefits package.
U.S. base salary reference range of $200,000–$230,000; compensation for Canadian-based candidates may vary according to location, experience, skills, and applicable local pay requirements.
Health, dental, and vision coverage for employees and their families.
Life insurance.
Mental wellness coverage.
Fertility and family-building support.
Flexible time off, in addition to company-paid holidays.
Paid family leave, medical leave, and bereavement leave.
Retirement savings plans.
Home office and technology setup allowance.
Annual professional development stipend.
Flexible work arrangements within a distributed, digital-first environment.
The opportunity to influence foundational technology, collaborate with global teams, and shape product capabilities with organization-wide impact.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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More about this job

Responsibilities

Own a strategic, technically complex product domain by defining its vision, success measures, and roadmap, and by prioritizing initiatives with engineering and business stakeholders. Develop and drive adoption of scalable shared platform capabilities, guide technical trade-offs, use data and stakeholder feedback to improve outcomes, and communicate the product vision across teams.

Requirements

Requires at least 8 years of product management or comparable experience, including at least 5 years with technical platform, data, or infrastructure products, plus a record of delivering shared capabilities and driving adoption. Candidates should demonstrate strategic and analytical judgment, technical problem-solving, strong communication and stakeholder influence, and autonomy in ambiguous environments; practical LLM-agent experience and an engineering background are preferred.

Skills

Product Strategy
Product Roadmapping
Platform Product Management
Technical Product Management
Stakeholder Management
Cross-Functional Leadership
Technical Decision-Making
Architecture Evaluation
Build-Versus-Buy Analysis
Data Analysis
KPI Definition
Product Adoption
Reliability Management
AI And LLM Agents
Strategic Prioritization
Technical Communication

Benefits

Equity
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Mental Wellness Coverage
Fertility And Family-Building Support
Flexible Time Off
Paid Holidays
Paid Family Leave
Medical Leave
Bereavement Leave
Retirement Savings Plans
Home Office And Technology Setup Allowance
Professional Development Stipend
Flexible Work Arrangements

Visa sponsorship

Not detected in the job text

Keywords

Product Management
Technical Product Management
Product Strategy
Product Roadmaps
Platform Products
Shared Platform Capabilities
Data Products
Infrastructure Products
R&D
Private Markets
Architecture
Build-Versus-Buy Decisions
Technical Debt
Scalability
Reliability
Security
Artificial Intelligence
Large Language Models
LLM-Based Agents
Workflow Automation
Product Adoption
KPIs
Product Metrics
Stakeholder Management
Cross-Functional Leadership
Customer Feedback
First-Principles Thinking
Continuous Improvement
Engineering

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