Field Engineering Management
This role leads teams of solutions architects and engineers who guide enterprise customers from initial AI discovery through production deployment. The manager sets technical strategy, owns customer technical outcomes, and serves as both a people leader and senior technical advisor—coaching engineers through architecture decisions, managing resource allocation across accounts, and escalating on complex implementations. What distinguishes this from pure sales engineering is the emphasis on post-sales technical strategy, production value realization, and building repeatable implementation patterns that scale across a customer portfolio. These leaders typically sit in go-to-market organizations alongside Sales and Customer Success, translating customer business objectives into credible technical roadmaps while developing their team's expertise in platform architecture, deployment patterns, and adoption methodologies.
Measured across 103 of 103 open postings.
This role is advertised at 2 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 |
|---|---|---|---|
| Manager | 66%(68) | 7 | — |
| Director | 32%(33) | 8.5 | $345k |
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 Most companies do not publish a salary band, so pay is indicative rather than a market rate. 2 levels with fewer than 10 open postings are not shown.
“Be the senior, credible voice on security and access: guardrails, approval workflows, least-privilege and just-in-time access”
“hands-on deployment and measurable impact with innovative AI solutions”
“Deep familiarity with legal technology and AI tools, with an ability to quickly develop and demonstrate platform expertise”
“Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity”
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, 10 postings each on average. Weekly values span 68 points across this window, so read the line, not the gap between two dots. Across this window the share has been broadly flat.
Skills
What companies are looking for in this role.
Technical solution advisory
Technical pre-sales solution design
Sales enablement
Technical program management
Process design and improvement
Complex enterprise deal management
Go-to-market strategy
Manager and leadership development
Proof-of-concept and pilot execution
Account health management
Enterprise AI solution architecture
AI transformation advisory
Technical team leadership and mentoring
Customer-facing technical delivery
Cross-functional collaboration
Executive relationship building
Technical communication
Customer feedback synthesis
Change management
Executive communication and storytelling
Technology
The tools and technologies that define this role.
Open Jobs
103 open Field Engineering Management jobs across 27 companies.
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