Salary for Mid-level / Intermediate Product Manager in Canada during 2024

Salary details

The average mid-level / intermediate Product Manager salary lies between USD 113,760 and USD 185,000 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 29, 2024

Top 20 Job Tags for Mid-level / Intermediate Product Manager roles

The three most common job tag items assiciated with mid-level / intermediate Product Manager job listings are Engineering, Machine Learning and Research. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Engineering | 620 jobs Machine Learning | 438 jobs Research | 360 jobs Computer Science | 306 jobs Agile | 286 jobs SQL | 234 jobs Python | 230 jobs Generative AI | 197 jobs Data analysis | 169 jobs Architecture | 154 jobs Privacy | 149 jobs LLMs | 145 jobs Testing | 141 jobs Security | 133 jobs Data Analytics | 130 jobs R | 124 jobs Finance | 120 jobs KPIs | 117 jobs Market research | 105 jobs APIs | 102 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Product Manager roles

The three most common job benefits and perks assiciated with mid-level / intermediate Product Manager job listings are Career development, Health care and Equity / stock options. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 590 jobs Health care | 367 jobs Equity / stock options | 293 jobs Competitive pay | 246 jobs Startup environment | 240 jobs Flex hours | 215 jobs Salary bonus | 170 jobs Flex vacation | 161 jobs Insurance | 158 jobs Medical leave | 143 jobs Parental leave | 139 jobs Team events | 135 jobs Wellness | 106 jobs 401(k) matching | 103 jobs Transparency | 53 jobs Home office stipend | 42 jobs Relocation support | 41 jobs Flexible spending account | 41 jobs Unlimited paid time off | 39 jobs Conferences | 37 jobs

Salary Composition

In Canada, the salary composition for a mid-level/intermediate Product Manager in AI/ML/Data Science typically includes a mix of base salary, bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary often constitutes the largest portion, ranging from 60% to 80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually account for 10% to 20%. Additional remuneration, like stock options, can vary significantly depending on the company size and industry. For instance, larger tech companies or startups might offer more substantial equity packages compared to traditional industries. Regional differences also play a role, with tech hubs like Toronto or Vancouver potentially offering higher compensation packages compared to other regions.

Increasing Salary

To increase your salary further from this position, consider the following strategies:

• Skill Enhancement: Continuously upgrade your skills in AI/ML and data science. This could involve learning new programming languages, mastering data analytics tools, or understanding emerging technologies.
• Networking: Build a strong professional network within the industry. Attend conferences, join relevant professional groups, and engage with thought leaders on platforms like LinkedIn.
• Leadership Roles: Seek opportunities to lead projects or teams. Demonstrating leadership capabilities can position you for promotions or higher-paying roles.
• Industry Transition: Consider transitioning to industries that offer higher compensation for AI/ML roles, such as finance or healthcare.
• Advanced Education: Pursue advanced degrees or certifications that are highly valued in the industry.

Educational Requirements

Most mid-level/intermediate Product Manager roles in AI/ML/Data Science require at least a bachelor's degree in a relevant field such as computer science, engineering, mathematics, or business. However, a master's degree, particularly an MBA or a specialized degree in data science or AI, can be advantageous and sometimes preferred. The educational background should ideally provide a strong foundation in both technical and business aspects, enabling you to bridge the gap between development teams and business stakeholders.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

• Certified Scrum Product Owner (CSPO): Useful for understanding agile methodologies and product ownership.
• Google Cloud Professional Data Engineer: Demonstrates proficiency in designing and building data processing systems.
• AWS Certified Machine Learning – Specialty: Validates expertise in building, training, and deploying machine learning models on AWS.
• Data Science Certifications: From platforms like Coursera, edX, or Udacity, which offer specialized courses in data science and AI.

Required Experience

Typically, a mid-level/intermediate Product Manager in AI/ML/Data Science is expected to have 3 to 5 years of experience in product management or a related field. This experience should include working on AI/ML projects, collaborating with cross-functional teams, and managing product lifecycles. Experience in a specific industry can also be beneficial, as it provides domain knowledge that can be crucial for certain roles.

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