MKTQ125R59
Databricks is seeking a **Director, Paid Media **to lead our global media planning function and define how paid media supports brand awareness, demand generation, and pipeline growth across the full funnel.
You will lead a team of global media planners to develop audience-first, account-focused strategies that engage both technical practitioners and executive decision-makers across priority accounts. This highly cross-functional role partners closely with Corporate Brand, Product Marketing, Integrated Campaigns, Field Marketing, Analytics, and external agencies to deliver cohesive, data-driven media strategies at scale.
The impact you will have:
- Guide the development of cross-channel media strategies that deliver measurable year-over-year increases in brand awareness, target account engagement, and pipeline contribution across integrated campaigns and priority product areas.
- Build and scale a high-performing global media strategy organization by hiring and developing top talent, increasing talent density, scalability, and strategic output over time.
- Create an environment of continuous learning with clear expectations, coaching, and growth opportunities, resulting in improved team performance, stronger bench strength, and readiness to support evolving business priorities.
- Establish and scale global media planning frameworks, processes, and best practices that improve consistency and efficiency across regions and campaigns, reducing planning cycle times and increasing adoption of standard methodologies.
- Align media investment strategy and budget allocation to business goals so that a greater share of spend is directed toward the highest-impact audiences, channels, and programs, improving return on media investment and pipeline efficiency.
- Ensure media strategies are grounded in strong audience insights and aligned to key practitioner and executive personas, increasing reach, penetration, and engagement within priority accounts.
- Implement consistent global measurement frameworks and executive-ready reporting in partnership with Analytics, improving visibility into media’s contribution to pipeline and revenue and enabling faster optimization cycles.
- Model and reinforce Databricks’ culture principles while staying ahead of evolving media trends and best practices through a structured test-and-learn agenda, resulting in a collaborative, high-performance team and continuous improvements in overall media effectiveness.
What we look for:
- 10+ years of experience in media strategy, digital marketing, or integrated marketing in a B2B environment within SaaS or enterprise technology.
- Proven experience leading global media planning efforts across multiple channels and funnel stages, with demonstrated impact on pipeline, engagement, or revenue metrics.
- Demonstrated experience hiring, developing, and managing teams of individual contributors, including early and mid-career talent, with a track record of building high-performing teams.
- Strong understanding of full-funnel marketing measurement, including brand, demand, pipeline, and revenue metrics.
- Ability to set clear objectives, prioritize effectively, and empower teams to deliver results with autonomy.
- Strong collaboration and influencing skills, with experience driving alignment across matrixed organizations.
- Excellent analytical skills with the ability to translate complex data into clear strategic recommendations that drive business decisions.
- Familiarity with modern media platforms, AdTech, and measurement tools.
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 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.
Zone 1 Pay Range
$183,400—$252,250 USD
Zone 2 Pay Range
$165,100—$227,050 USD
Zone 3 Pay Range
$155,900—$214,400 USD
Zone 4 Pay Range
$146,700—$201,750 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
**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.