Salary for Mid-level / Intermediate Product Manager during 2024

Salary details

The average mid-level / intermediate Product Manager salary lies between USD 130,000 and USD 225,000 globally. 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.

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Nov. 17, 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 | 522 jobs Machine Learning | 361 jobs Research | 299 jobs Computer Science | 256 jobs Agile | 244 jobs SQL | 190 jobs Python | 184 jobs Generative AI | 158 jobs Data analysis | 135 jobs Architecture | 132 jobs Privacy | 126 jobs Security | 124 jobs LLMs | 123 jobs Testing | 117 jobs Data Analytics | 105 jobs R | 100 jobs Finance | 96 jobs KPIs | 95 jobs APIs | 87 jobs UX | 83 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 | 494 jobs Health care | 310 jobs Equity / stock options | 251 jobs Competitive pay | 207 jobs Startup environment | 197 jobs Flex hours | 181 jobs Salary bonus | 143 jobs Flex vacation | 140 jobs Insurance | 137 jobs Medical leave | 122 jobs Parental leave | 121 jobs Team events | 111 jobs 401(k) matching | 93 jobs Wellness | 92 jobs Transparency | 47 jobs Flexible spending account | 37 jobs Relocation support | 36 jobs Unlimited paid time off | 36 jobs Home office stipend | 32 jobs Conferences | 31 jobs

Salary Composition

The salary for a Mid-level/Intermediate Product Manager in AI/ML/Data Science typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The base salary is often the largest component, accounting for 60-80% of the total compensation package. Performance bonuses can range from 10-20%, depending on the company's profitability and individual performance metrics. Additional remuneration, such as stock options, can vary significantly based on the company's size and stage. In larger tech companies or startups with high growth potential, equity can be a substantial part of the compensation. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York tend to be higher than in other regions due to the cost of living and competitive job markets.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in AI/ML and data science. Specializing in emerging technologies or methodologies can make you more valuable.
• Leadership Roles: Aim for leadership positions such as Senior Product Manager or Director of Product Management. These roles typically come with higher compensation.
• Industry Transition: Moving to a high-paying industry, such as finance or healthcare, where AI/ML applications are critical, can lead to salary increases.
• Networking: Build a strong professional network. Opportunities often arise through connections, and referrals can lead to better job offers.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.

Educational Requirements

Most mid-level 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. These advanced degrees provide a deeper understanding of both the technical and business aspects of product management.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile:

• Certified Scrum Product Owner (CSPO): Demonstrates your ability to manage agile teams and processes.
• Project Management Professional (PMP): Validates your project management skills, which are crucial for product management.
• Google Cloud Professional Data Engineer: Shows proficiency in designing and managing data solutions on Google Cloud, relevant for AI/ML roles.
• AWS Certified Machine Learning – Specialty: Highlights your expertise in building, training, and deploying machine learning models on AWS.

Required Experience

Typically, 3-5 years of experience in product management or a related field is required for mid-level roles. Experience in AI/ML or data science projects is highly valued. Candidates should have a proven track record of managing product lifecycles, from ideation to launch, and working cross-functionally with engineering, design, and marketing teams. Experience in agile environments and familiarity with data-driven decision-making processes are also important.

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