Sr. Manager, Field Engineering - Strat Media

Req ID FEQ327R504

• You will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode.
• Make your customers in the Agencies segment successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Partner with sales leadership to hit sales and consumption targets and ensure customer success
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media Advertising industry. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

• 7+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning).
• 3+ years of first-line management experience leading technical pre-sales or solutions architecture teams — including hiring, onboarding, coaching, performance management, and career development.
• Understanding of the advertising and media agency ecosystem — how holdcos are structured, how data flows between brands, agencies, publishers, and ad tech platforms.
• 3+ years of experience building and leading technical pre-sales teams - hiring, on-boarding, and enabling pre(and post)-sales professionals.
• A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry, with a specific focus on the Media Agency Ecosystem.
• Trusted advisor to technical executives who guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations.
• Experience hiring candidates, ramping them up to be successful, and promoting them into larger roles.
• Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners.
• Experience working with teams across Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions - that scale.

Databricks is committed to fair and equitable compensation practices. 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.  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 anticipated 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.

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.

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.