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: Nov. 24, 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 | 558 jobs Machine Learning | 390 jobs Research | 322 jobs Computer Science | 277 jobs Agile | 257 jobs SQL | 209 jobs Python | 200 jobs Generative AI | 171 jobs Data analysis | 149 jobs Architecture | 141 jobs Privacy | 133 jobs LLMs | 130 jobs Security | 127 jobs Testing | 127 jobs Data Analytics | 113 jobs R | 109 jobs KPIs | 107 jobs Finance | 103 jobs APIs | 93 jobs UX | 89 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 | 530 jobs Health care | 331 jobs Equity / stock options | 265 jobs Competitive pay | 225 jobs Startup environment | 212 jobs Flex hours | 194 jobs Salary bonus | 151 jobs Flex vacation | 149 jobs Insurance | 144 jobs Medical leave | 128 jobs Parental leave | 127 jobs Team events | 120 jobs 401(k) matching | 97 jobs Wellness | 96 jobs Transparency | 50 jobs Flexible spending account | 40 jobs Relocation support | 38 jobs Unlimited paid time off | 36 jobs Conferences | 34 jobs Home office stipend | 34 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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