Sales engineering jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, Sales engineering appears in 190 job postings indexed by Skillenai over the past 90 days — Solutions Architect has the most postings mentioning Sales engineering, with demand down 25% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
190
Demand vs prior month
down 25% vs the prior 4 weeks
Top role · 24.7% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Sales engineering

+Is Sales engineering in demand in 2026?

Yes. Sales engineering appears in 190 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 25% vs the prior 4 weeks. Solutions Architect accounts for the most postings mentioning Sales engineering (24.7% of all postings mentioning Sales engineering).

+What jobs require Sales engineering?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Sales engineering are Solutions Engineering Manager (26.1% of that role’s postings mention Sales engineering), Systems Analyst (13.3% of that role’s postings mention Sales engineering), AI Strategist (10.0% of that role’s postings mention Sales engineering).

+What skills are commonly paired with Sales engineering?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Sales engineering most often appears alongside solutions architecture, solution architecture, APIs, Python, Solutions engineering.

+Where is Sales engineering most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring Sales engineering are New York City, London, Austin, San Francisco, Washington, according to the Skillenai jobs index.

+How can I keep up with new Sales engineering content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Sales engineering alongside the jobs index. You can subscribe to a daily email digest of new Sales engineering content from your Skillenai account.

Weekly job postings requiring Sales engineering — last 90 days

Roles most likely to require Sales engineering

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Solutions Engineering Manager1226.1%
Systems Analyst413.3%
AI Strategist310.0%
Solution Consultant29.1%
Solutions Engineer26.5%
Applied Value Engineer25.0%
Customer Engineer64.6%
Value Engineer24.2%
AI Deployment Lead14.2%
Sales Systems Engineer13.6%

Roles with the most Sales engineering postings

RolePostings mentioning skillShare of skill postings
Solutions Architect4724.7%
Solution Architect157.9%
Solutions Engineering Manager126.3%
Sales Engineering Manager84.2%
Systems Engineer84.2%
Customer Engineer63.2%
Customer Solution Engineer42.1%
Product Manager42.1%
Systems Analyst42.1%
AI Strategist31.6%

Top metros hiring for Sales engineering

NamePostingsShare
New York City1910.0%
London147.4%
Austin52.6%
San Francisco52.6%
Washington52.6%
Boston42.1%
Chicago42.1%
San Mateo42.1%
Toronto42.1%

Skills commonly paired with Sales engineering

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Sales engineering by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Sales engineering postings by all Sales engineering postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).

source
Skillenai jobs index, deduplicated daily
entity_id
010d8d0c14eec435
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Sales engineering?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index