[All remote jobs](https://jobicy.com/jobs.md)[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)[Databricks](https://jobicy.com/company/databricks.md) # Manager, Forward Deployed Engineering – CMEG Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 211,800–291,300 / yrDepartment[Project & Program Management](https://jobicy.com/categories/project-management.md)EmploymentFull TimeExperienceSeniorPublished27 Sep 2026Apply before27 Oct 2026Listing views42Application actions3Opportunity details ## About this role. CSQ227R53 Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the world’s most ambitious data-driven enterprises, we sit at the intersection of cloud migrations, AI transformation, and real-time intelligence and our customers challenge us every day to go further. As Manager, Forward Deployed Engineering, you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks’ most strategic enterprise customers across Communications, Media, Entertainment & Gaming (CMEG), you will shape how leading organizations migrate to the lakehouse, build next-generation AI and GenAI systems, and unlock sustained business value from their data investments. As a people leader, you will build and scale a team that represents Databricks’ highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions, from large-scale data migrations and legacy modernization programs to cutting-edge generative AI, MLOps, and AI agent deployments. You will set the bar for delivery quality, grow world-class talent, and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact. While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. ### The impact you will have: * Oversee regional performance targets including billable utilization, team growth, and hiring while championing delivery excellence and customer success across the FDE portfolio. * Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver transformational Professional Services (PS) programs spanning data migrations, AI/ML platforms, and advanced analytics. * Establish best practices for project oversight, risk management, and quality standards that scale with a growing FDE practice, ensuring projects are delivered on time and to specification. * Synthesize field insights from your team’s engagements to provide direct feedback to Engineering and Product management, helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks. * Serve as the critical escalation point for high-stakes customer situations, leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution. * Mentor Forward Deployed Engineers through structured career pathways, technical coaching, and a culture of innovation, mastery, and continuous growth. ### What we look for: * 4+ years of people leadership experience managing high-performing technical delivery teams, solution architects, or professional services organizations with a proven track record of building excellence-driven cultures. * 5+ years of hands-on individual contributor experience as a technical solutions architect or data/AI engineer, providing the technical depth to coach and credibly support senior practitioners. * Demonstrated success leading large-scale data platform migrations and AI/ML programs within enterprise environments, across industries such as Finance, Healthcare, Retail, Telco, or Energy. * Strong understanding of technical project delivery, including managing scope, timelines, statements of work (SOWs), and professional services delivery metrics. * Strong stakeholder management skills, with experience navigating complex, high-stakes customer environments and influencing at the C-suite level. * Familiarity with Databricks, Apache Spark™, MLflow, Delta Lake, or the modern data and AI ecosystem; hands-on experience with Databricks or a direct competitor is highly valued. * Ability to travel to customer sites and Databricks offices approximately 20% of the time. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page [here](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $211,800—$291,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more [Apply now >](https://jobicy.com/jobs/154102-manager-forward-deployed-engineering-cmeg.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This role leads a team of Forward Deployed Engineers delivering enterprise data-platform migrations, AI/ML programs, and GenAI solutions for Communications, Media, Entertainment, and Gaming customers. The manager owns delivery quality, utilization, hiring, team development, project governance, and escalation management for strategic professional-services engagements. Success requires both people leadership and substantial hands-on technical credibility in modern data and AI platforms, especially Databricks-related technologies. The position also involves executive stakeholder management, cross-functional coordination with sales and product teams, and approximately 20% travel. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior technical-delivery leadership position requiring proven management capability alongside deep experience with enterprise data migrations and AI/ML implementations. The manager must balance commercial delivery metrics, high-stakes customer escalations, talent development, and technical governance across complex programs. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$251,550US market range$190k–$310k0$341k AI insightThe disclosed yearly USD range is $211,800 to $291,300, with a midpoint of $251,550. A competitive US market range for a senior manager leading forward-deployed engineering or technical professional-services teams is approximately $190,000 to $310,000 annually in base salary, varying by location, enterprise delivery scope, technical depth, and equity or bonus structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [People Leadership](https://jobicy.com/jobs?search_keywords=People%20Leadership.md)[Professional Services Delivery](https://jobicy.com/jobs?search_keywords=Professional%20Services%20Delivery.md)[Enterprise Data Migration](https://jobicy.com/jobs?search_keywords=Enterprise%20Data%20Migration.md)[AI/ML Platforms](https://jobicy.com/jobs?search_keywords=AIML%20Platforms.md)[Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)[MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Apache Spark](https://jobicy.com/jobs?search_keywords=Apache%20Spark.md)[Stakeholder Management](https://jobicy.com/jobs?search_keywords=Stakeholder%20Management.md)[Project Governance](https://jobicy.com/jobs?search_keywords=Project%20Governance.md) Sample interview questionsHow have you led a technical delivery organization while maintaining high customer satisfaction and billable utilization?I establish clear delivery health metrics covering utilization, milestones, customer outcomes, staffing risk, and quality. I review them regularly with delivery leads, intervene early on capacity or scope issues, and ensure teams prioritize measurable customer value rather than utilization alone. Describe your approach to governing a complex enterprise data-platform migration. I begin with an assessment of source systems, target architecture, security requirements, data quality, dependencies, and success criteria. I then create a phased plan with accountable owners, decision logs, risk reviews, validation gates, and executive reporting so that migration progress and business outcomes remain visible. How would you handle an escalation from a strategic customer whose AI deployment is behind schedule? I would quickly align stakeholders on the facts, business impact, technical blockers, and immediate containment actions. After assigning accountable owners and a recovery plan, I would communicate transparently with the customer, provide frequent progress updates, and conduct a retrospective to prevent recurrence. How do you coach Forward Deployed Engineers with different levels of technical and consulting experience? I use individual development plans that combine technical goals, customer-delivery behaviors, and progression expectations. Coaching includes regular feedback, pairing on difficult engagements, opportunities to lead reusable accelerators, and calibrated performance discussions grounded in observable outcomes. How do you translate field feedback into useful input for product and engineering teams? I synthesize recurring customer pain points into concise, evidence-based themes that include business impact, technical context, frequency, and proposed priority. 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