<p>FEQ427R388<br><br>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.</p> <p>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.</p> <p>THE IMPACT YOU WILL HAVE</p> <ul> <li>Lead, coach, and develop Field Engineering professionals and emerging people leaders across a broader portfolio.</li> <li>Set team strategy and roadmaps that connect customer needs, technical priorities, business outcomes, and broader Field Engineering goals.</li> <li>Increasingly influence the most important priorities for the portfolio and help teams see around corners over the next 3–6–12 months.</li> <li>Partner with Sales and cross-functional leadership to shape technical-win strategy, resource allocation, customer coverage, and execution plans.</li> <li>Build trusted relationships with senior customer stakeholders and use customer, market, and competitive insight to improve account and portfolio strategy.</li> <li>Establish repeatable inspection mechanisms across teams, including portfolio reviews, customer-health reviews, technical-risk reviews, and escalation processes.</li> <li>Coach leaders and senior practitioners through complex customer, technical, competitive, organizational, and performance situations.</li> <li>Build and share playbooks, tools, enablement, and operating mechanisms that increase productivity and consistency beyond one team.</li> <li>Influence Product, Engineering, Support, Professional Services, Marketing, and Partners on customer requirements, product gaps, and cross-functional priorities.</li> <li>Use AI and automation to create one-to-many impact across enablement, execution, forecasting, customer planning, and team productivity.</li> <li>Model and strengthen a culture of psychological safety, inclusion, accountability, continuous learning, and high performance.</li> </ul> <p>WHAT WE LOOK FOR</p> <ul> <li>Significant experience leading technical customer-facing teams in enterprise software, cloud, data, AI, analytics, technical consulting, or a related environment.</li> <li>Proven ability to hire bar-raising talent, develop leaders, manage performance, and make thoughtful decisions about team structure, capability mix, and resourcing.</li> <li>Experience leading through other leaders or serving as a senior leader on a complex team.</li> <li>Strong strategic judgment: you can identify the highest-impact priorities, allocate resources, manage risk, and connect near-term execution to longer-term goals.</li> <li>A track record of building repeatable operating mechanisms, playbooks, tools, or programs that scale beyond your immediate team.</li> <li>Ability to influence senior internal partners across Sales, Professional Services, Solutions Architecture, Marketing, Partners, Product, Engineering, and Support.</li> <li>Strong customer-advisory capability, including the ability to guide senior stakeholders through complex technical and business decisions.</li> <li>Proficient understanding of data and AI technologies, cloud architecture, governance, security, networking, and enterprise adoption considerations.</li> <li>An AI-first, builder mindset with evidence of applying emerging tools or approaches to improve customer outcomes and organizational effectiveness.</li> <li>Demonstrated alignment with Databricks Culture Principles and the ability to translate them into clear expectations and daily team practices.</li> </ul> <p>BASIC QUALIFICATIONS</p> <ul> <li>Experience managing technical customer-facing teams and/or other people leaders.</li> <li>Experience leading complex, multi-stakeholder customer engagements and cross-functional initiatives.</li> <li>Experience in data platforms, analytics, AI, cloud, software, technical consulting, or a related technical domain.</li> <li>Strong written, verbal, presentation, decision-making, and stakeholder-management skills.</li> <li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.</li> </ul> <p>PREFERRED QUALIFICATIONS</p> <ul> <li>Experience with Databricks or comparable data and AI platforms.</li> <li>Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices.</li> <li>Experience designing or improving Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models.</li> <li>Experience building partner ecosystems and cross-functional communities of practice.</li> <li>Experience using AI, automation, dashboards, or other mechanisms to improve organizational scale and repeatability.</li> </ul> <p><br><br></p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p> </p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation pract