Product Manager vs Network Engineer: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Product Manager
Define product vision and roadmap, working across engineering and design.
Network Engineer
Design, implement, and manage computer network infrastructure.
Product Manager earns more on average — the national median is $37,220/year (28%) higher than a Network Engineer. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Product Manager vs Network Engineer — Salary by City
National median figures in USD across top cities.
| City | Product Manager | Network Engineer | Difference |
|---|---|---|---|
| San Francisco, CA | $244,797 | $195,491 | Product +$49,306 |
| New York, NY | $210,902 | $165,772 | Product +$45,130 |
| Seattle, WA | $247,751 | $192,889 | Product +$54,862 |
| Austin, TX | $196,435 | $149,704 | Product +$46,731 |
| Chicago, IL | $188,512 | $145,221 | Product +$43,291 |
| Boston, MA | $226,765 | $176,955 | Product +$49,810 |
| London, UK | £88,049 | £106,873 | Product $18,824 |
| Toronto, Canada | CA$224,019 | CA$177,211 | Product +$46,808 |
Frequently Asked Questions
Does a Product Manager or Network Engineer earn more?+
A Product Manager earns more on average. The national median salary for a Product Manager is $171,270/year, compared to $134,050/year for a Network Engineer — a difference of $37,220 (28%).
Which has better career growth — Product Manager or Network Engineer?+
Product Manager roles are growing at 20% YoY while Network Engineer demand is growing at 6% YoY. Product Manager has stronger near-term demand growth.
Can you switch from Product Manager to Network Engineer?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Product Manager or Network Engineer?+
Product Manager has a lower AI automation risk (34% vs 52%). Based on Oxford Martin School and McKinsey 2023 analysis.