Technical Support Engineer
Technical Support Engineers at AI companies own the diagnosis and resolution of customer-reported technical issues—working tickets across API and SDK integration, authentication and access, deployment and configuration, and product behavior. The day-to-day is classical technical support engineering: reproducing issues, analyzing logs and telemetry, performing root-cause analysis across multi-component systems, communicating clearly with customers across technical levels, and partnering with engineering on durable fixes for systemic issues. The specific surfaces vary by product—API support at platform companies, deployment and integration support at infrastructure companies, product support at application companies—and AI-specific failure modes (model behavior, inference performance, agent debugging) appear in some of these jobs, but the foundational role is recognizable across any developer- or enterprise-software company. These engineers typically sit within customer support, customer experience, or developer experience teams, partnering with engineering on escalations and product feedback.
Measured across 155 of 157 open postings.
This role is advertised at 4 levels, so a single figure for the role would describe none of them. Experience and pay are the midpoints for each level on its own.
| Level | Share | Median years | Median pay |
|---|---|---|---|
| Entry | 30%(47) | 2 | $74k |
| Mid | 29%(45) | 4.5 | $198k |
| Senior | 26%(40) | 5 | $201k |
| Manager | 11%(17) | 5 | — |
A dash means too few postings stated it to report a midpoint. Most companies do not publish a salary band, so pay is indicative rather than a market rate. 2 levels with fewer than 10 open postings are not shown.
“helping teams debug production LLM applications and agents, improve AI observability and evaluations”
“You actively use AI tools — Claude, Notion AI, research and workflow tools — and can demonstrate how you've applied them to get real work done. This is a hard requirement.”
“We use automation, agents, and our own technology to help build the future of technical support.”
“Comfortable with modern AI concepts and proficient in using AI-assisted tools to accelerate troubleshooting”
Requirements are a share of every open posting, so a role missing from this list is one where almost nobody asks. Work mode is different: many postings never say, so that figure counts only the ones that do. A posting stops being advertised when it is filled, cancelled or reorganised, so read the last figure as how long these stay on the market, not as time to hire.
Share of new postings expecting AI in the person's own work, by the week they appeared. Measured on the same 124 companies throughout, every one of them tracked since 18 May, so the line is not moved by us adding companies.
Line is a four-week average; dots are individual weeks, 11 postings each on average. Weekly values span 60 points across this window, so read the line, not the gap between two dots.
Skills
What companies are looking for in this role.
Technical issue diagnosis
Escalation and incident response
End-user technical support
Incident response and reliability
Cloud infrastructure operations
Monitoring and observability
Account health management
Knowledge base management
Support performance analytics
Process design and improvement
Customer education programs
AI support automation
Hands-on AI tool fluency
Customer-facing technical delivery
Technical communication
Customer feedback synthesis
Technical team leadership and mentoring
Technical documentation
Technology
The tools and technologies that define this role.
Open Jobs
157 open Technical Support Engineer jobs across 44 companies.
Other Customer Support roles
Owns post-sale customer relationships, driving adoption, retention, and expansion.
Owns delivery of customer engagements after the sale: scoping, staffing and steering professional-services or deployment work to agreed outcomes. At AI vendors, often the customer-facing lead of a deployment / forward-deployed pod.
Leads customer onboarding, implementation, and deployment projects.
Manages commercial relationships with existing customers, focusing on renewals, upsells, and contract negotiations.
Develops and delivers training and enablement programs for customers.