Customer Success Engineer
NicheAlso known as: Technical Account Manager, Technical Customer Success Manager, Customer Engineer
Combine technical expertise with relationship management to help enterprise customers achieve their goals with complex software products.
Salary Range
The highest-paid specialization or seniority level for customer success engineers.
About 1 in 14 reaches this level
Field of ~30-50K practitioners in SaaS (est., no BLS code — folded into SOC 41-9031 Sales Engineers / 15-1252 Software Developers); only the top ~7% (~2,800) reach Director of Customer Success Engineering or VP of Solutions at ~$225K total comp at enterprise software companies with technical customer bases.
Salary data based on 2025 BLS, Glassdoor, and industry reports. Actual compensation varies by location, experience, and employer.
How to Become One
This career typically requires a bachelor's degree. Here are the top colleges for it:
Cost to Qualify
Four years of tuition and required fees runs about $56K at a typical public college in our list (in-state) and about $288K at a typical private one. Both are pricier than the US national averages (about $48K public in-state, $180K private nonprofit, College Board 2025-26) because our 161-college dataset only includes nationally-ranked schools, not every US college. This excludes room and board, which we show separately on each college's page.
Sticker price, not what most people pay — scholarships, aid and in-state status all move it. Room and board is shown separately on each college's page.
AI Risk Assessment
A customer success engineer helps business customers get a complex software product working and keeps them happy enough to renew, mixing technical support with relationship work. There is no separate government job code. The nearest is sales engineers, and the Bureau of Labor Statistics projects that group to grow only 3% from 2025 to 2035, about average, noting that AI may make some of their tasks more efficient and "may limit" job growth.
A large share of the day-to-day work is the kind AI can take on. In an August 2025 survey of 235 customer success practitioners, Bain & Company found that customer success managers spend about 65% of their time on low-value tasks that could be automated with AI. Bain lists customer messages, preparing for calls and writing success plans among the things AI can help with. A 2025 Microsoft Research study of 785 jobs ranked sales engineers 101st for how much of their work AI chatbots can help with, in the top 13%. The part that stays human is the relationship: understanding what a customer is really trying to do and steering them through problems.
Adoption is still slow. Bain found about 70% of customer success leaders were not yet using AI in a meaningful way, and it openly asks whether the goal is "a better customer success experience with fewer staff". That fits the rubric's "3 Moderate": AI can do a meaningful part of the work, and as teams adopt it, we expect fewer new hires per account. That hiring effect is our expectation from these figures, not something we have seen measured yet.
What would change this score: if software companies start cutting customer success teams and pointing to AI as the reason, this would move to 4. If AI adoption stays stuck in pilots while demand for technical onboarding grows, it would move to 2.
Sources
Ratings reflect a 10-year outlook based on 2025-2026 research, weighted toward entry-level impact. Individual outcomes will vary.
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