Databricks
Sr. Manager, Field Engineering - Sports
$192K–$264K
Northeast - United States +1 · Remote · Manager · Full-time · Posted Sep 14, 2026
- Location
- Northeast - United States
Remote - California - Experience
- No specific number of years stated; requires experience managing technical customer-facing teams and/or people leaders, leading complex customer engagements, and working in a related technical domain.
- Education
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
About the job
Leads Field Engineering teams and strategy across a broad portfolio, strengthening customer outcomes and scaling operational impact through leaders and cross-functional partnerships.
What you'll do
- Lead, coach, and develop Field Engineering professionals and people leaders; set portfolio strategy, roadmaps, and resource priorities.
- Build senior customer relationships and partner with Sales and cross-functional teams on technical-win strategy, customer coverage, risks, and execution.
- Create scalable playbooks and operating mechanisms, and use AI and automation to improve enablement, planning, forecasting, and productivity.
What they ask for
- Experience managing technical customer-facing teams and/or other people leaders.
- Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives.
- Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Nice to have
- Experience with Databricks or comparable data and AI platforms.
- Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices.
Pay
$192,100 — $264,175 USD (base salary); $192,100 — $264,100 USD (base salary); $192,100 — $264,100 USD (base salary); $192,100 — $264,100 USD (base salary)
Tools
AI, data platforms, analytics, cloud architecture, governance, security, networking
AI focus
Use AI and automation to scale enablement, execution, forecasting, customer planning, team productivity, and organizational effectiveness.
Model-written summary · the original posting is authoritative