Senior Manager, Field Engineering - Sports (AI)

Location: Northeast, United States

Salary: $192,100–$264,175 USD annually, depending on pay zone and candidate factors. Additional compensation may include an annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.

What you will do

• Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broad portfolio.
• Set team strategy, roadmaps, resource allocation, customer coverage, and execution plans in partnership with Sales and cross-functional leadership.
• Build trusted relationships with senior customer stakeholders and guide complex technical and business decisions.
• Establish portfolio reviews, customer-health reviews, technical-risk reviews, escalation processes, playbooks, tools, and enablement programs.
• Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements and cross-functional priorities.
• Use AI and automation to improve enablement, forecasting, customer planning, execution, and team productivity.

Requirements

• Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
• Experience managing technical teams and/or people leaders, including hiring, leadership development, performance management, team structure, and resourcing.
• Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives.
• Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption.
• Strong strategic judgment, customer-advisory, communication, presentation, decision-making, and stakeholder-management skills.
• 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.
• Experience designing Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models.
• Experience building partner ecosystems and communities of practice.
• Experience using AI, automation, dashboards, or similar mechanisms to improve organizational scale and repeatability.

Culture & Benefits

• Benefits and perks are provided according to the employee’s region.
• Additional compensation may include an annual performance bonus and equity.
• Focus on psychological safety, inclusion, accountability, continuous learning, and high performance.
• Commitment to inclusive hiring and equal employment opportunity.