# Sr. Manager, Field Engineering - Sports **Company**: Databricks **Location**: Northeast - United States **Experience**: senior **Job type**: full-time **Salary**: $192,100-$264,175 USD **Category**: Engineering **Industry**: Technology **Wikidata**: https://www.wikidata.org/wiki/Q18350420 **Apply**: https://job-boards.greenhouse.io/databricks/jobs/8716314002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_31ba4dbc-73c ## Description As a 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, organisational, 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 judgement: 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 organisational 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. - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience. ## Preferred Qualifications - Experience with Databricks or comparable data and AI platforms. - Experience leading across multiple segments, geographies, countries, customer portfolios, or technical practices. - Experience designing or improving Field Engineering, Solutions Architecture, technical sales, customer success, or similar operating models. - Experience building partner ecosystems and cross-functional communities of practice. - Experience using AI, automation, dashboards, or other mechanisms to improve organisational scale and repeatability. ## Pay Range Transparency The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Zone 1 Pay Range: $192,100-$264,175 USD Zone 2 Pay Range: $192,100-$264,100 USD Zone 3 Pay Range: $192,100-$264,100 USD Zone 4 Pay Range: $192,100-$264,100 USD ## Skills ### Required - enterprise software - cloud - data - AI - analytics - technical consulting - strategic judgement - leadership - team management - customer advisory - cloud architecture - governance - security - networking - enterprise adoption ### Nice to have - Databricks - data and AI platforms - Field Engineering - Solutions Architecture - technical sales - customer success - partner ecosystems - cross-functional communities of practice - automation - dashboards --- Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8716314002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)