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REQ ID: FEQ427R375 Mission: As the Director of Field Engineering, you will be responsible for partnering with our enterprise Consumer Packaged Goods (CPG) and Retail customers to democratize Data and AI within their organizations, leveraging Databricks solutions and expertise to address their most critical business challenges. Reporting to the Tech GM of Field Engineering for Retail & Consumer Packaged Goods (CPG), the Director, Field Engineering will lead a team of pre-sales Managers and Solutions Architects focused on acquiring new customers and expanding strategic relationships across the Retail and CPG industry. You will work closely with Sales, Product, Engineering, Customer Success, and executive stakeholders to drive strategy and execution against our ambitious growth goals. You will foster a culture of psychological safety while developing and scaling a high-performing team with expertise in enterprise software, data engineering, analytics, AI/ML, and cloud technologies. Your experience partnering with Sales will help drive complex enterprise opportunities while coaching managers and field engineering teams to deliver exceptional customer outcomes. You will guide your team through strategic engagements, communicate complex technical solutions in terms of business value, support enterprise sales cycles, and build trusted relationships with senior business and technology leaders across the Retail and CPG industry. The impact you will have: Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects. Build a collaborative culture within a rapid-growth team. Embody and promote Databricks' customer-obsessed, truth-seeking, diverse culture, and first principles mindset. Develop trusted, long-term executive relationships with customers while maintaining a deep understanding of the Retail and CPG industry, including key business trends, competitive dynamics, and digital transformation priorities. Help customers accelerate their Data and AI strategies across areas such as customer experience, merchandising, supply chain, demand forecasting, marketing, and operations. Promote a solution- and value-based Field Engineering organization. Display an understanding of customer business priorities and revenue opportunities across the assigned region and industry. Serve as a thought leader for Databricks and within the Retail, CPG, Data, and AI ecosystem. What we look for: At least 3 years of second-line leadership experience managing teams of 30+ individuals, with 10+ years of overall leadership experience. Proven success leading high-growth enterprise software pre-sales organizations within Retail, CPG, cloud, data, analytics, or AI. Experience partnering with Retail and/or CPG customers on large-scale data, analytics, AI, or digital transformation initiatives. Ability to elevate executive engagement, with a track record of driving large strategic transactions and expanding high-growth enterprise accounts. Proven leadership ability to influence, develop, and empower teams to achieve ambitious business objectives through collaboration. Drive operational rigor to manage a high-growth business, establishing the right operating cadence while ensuring visibility into customer priorities, escalations, and product feedback. Proven track record of delivering transformational customer outcomes and measurable business value. Track record of building strong customer relationships and cross-functional partnerships across Sales, Engineering, Product, Marketing, and Customer Success. Experience positioning technical solutions within complex enterprise environments and helping customers realize long-term value and platform adoption with Databricks. Strong operational leadership with experience implementing scalable processes that improve the effectiveness and productivity of technical field organizations. Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience. 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 , X , YouTube , and Instagram . 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 . 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.