Databricks
Sr. Manager, Field Engineering - Sports
Northeast - United States; Remote - CaliforniaRemote · United States
Manager · Field Engineering - FE Direct Enterprise
POSTED 14 SEPTVERIFIED 1D AGO
Pay · posted
$192k–264k
mkt median $175k
Open for
51d
closes ~100d here
H-1B · FY26
434
80 PERM · NL sponsor · UK sponsor
Hiring · 30d
924
+11 net · open roles
FEQ427R388
As an Senior Manager, Field Engineering, you will lead a broader team of technical customer advisors and help shape the strategy, roadmap, and operating model for a significant Field Engineering portfolio. You will scale impact beyond your immediate team through other leaders, cross-functional initiatives, reusable practices, and strong customer and partner relationships.
This role typically leads Field Engineering professionals across a broader portfolio and may include responsibility for one or two managers. Depending on the assignment, you may support a major segment, a multi-country portfolio, or an equivalent area of complexity.
THE IMPACT YOU WILL HAVE
- Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio.
- Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals.
- Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months.
- Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans.
- Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy.
- Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes.
- Coach leaders and senior practitioners through complex customer, technical, competitive, organizational, and performance situations.
- Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team.
- Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities.
- Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity.
- Model and strengthen a culture of psychological safety, inclusion, accountability, continuous learning, and high performance.
WHAT WE LOOK FOR
- Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.
- Proven ability to hire bar-raising talent, develop leaders, manage performance, and make thoughtful decisions about team structure, capability mix, and resourcing.
- Experience leading through other leaders or serving as a senior leader on a complex team.
- Strong strategic judgment: you can identify the highest-impact priorities, allocate resources, manage risk, and connect near-term execution to longer-term goals.
- A track record of building repeatable operating mechanisms, playbooks, tools, or programs that scale beyond your immediate team.
- Ability to influence senior internal partners across Sales, Professional Services, Solutions Architecture, Marketing, Partners, Product, Engineering, and Support.
- Strong customer-advisory capability, including the ability to guide senior stakeholders through complex technical and business decisions.
- Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption considerations.
- An AI-first, builder mindset with evidence of applying emerging tools or approaches to improve customer outcomes and organizational effectiveness.
- Demonstrated alignment with Databricks Culture Principles and the ability to translate them into clear expectations and daily team practices.
BASIC QUALIFICATIONS
- 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.
- Strong written, verbal, presentation, decision-making, and stakeholder-management skills.