Sr. Product Marketing Manager, Lakewatch

MKTQ227R16

Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic Security Lakehouse that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response. We are looking for a Sr. Product Marketing Manager to support the marketing strategy for these emerging applications to support Lakewatch in its next phase of growth. In this role, you will shape and execute the go-to-market strategy and tactics for Lakewatch and other applications in the Agentic Apps portfolio, collaborating closely with demand generation, sales, partners, external agencies and contractors, and the broader Databricks marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks. This role sits within the product marketing organization and works cross-functionally with demand generation, product, sales, and alliances. The impact you will have: Hit or exceed Lakewatch and Agentic Apps pipeline and revenue goals by shaping and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months. Execute content and field marketing activities across Agentic Apps by building and deploying scalable marketing programs that increase awareness, improve perception, and drive demand for Databricks Agentic Apps, with an emphasis on decision makers and senior executives in the line of business domain areas. Increase Lakewatch and Agentic Apps adoption and usage across priority customer segments by co-creating a compelling narrative and positioning that differentiates Databricks in its various application spaces with an emphasis on cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases. Establish Databricks as a recognized leader in its App Domains, with an emphasis on Cybersecurity - by driving thought leadership, field activity, content creation, sales collateral, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and pipeline contribution and progression Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new capabilities within defined timeframes after launch. Improve sales and overlay effectiveness in sales opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch and Agentic Apps win rates and reduce sales cycle times across core regions and segments. Grow partner-sourced and partner-influenced pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals. Continuously optimize GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion). What we look for: Extensive product marketing experience in enterprise security software , with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings. Proven ability to build and scale GTM for new or early-stage products , including setting goals, defining content and field marketing strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption. Experience in both hands-on execution and 3rd party agencies for content and events in running demand generation, awareness, and field marketing activity Experience in “outbound” product marketing such as content marketing, field marketing , working with owned and 3rd party events teams, external agencies and partners, to drive results and maintain a high level of excellence in execution Attention to detail and operational thinking that uses sound judgment to determine the right levels of execution for cross-product marketing initiatives – from practitioner activity like 3rd party conference sponsorships and demand gen content creation, to executive level events like Executive Forums. Demonstrated success partnering with product and demand generation to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention. Experience enabling global sales and partner organizations on new solutions or categories , with evidence that your plays, content, field activity, and enablement improved product line outcomes such as win rates, pipeline progression, sales cycle times, or attach rates. Experience collaborating with technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline. Strong communication , comfortable driving cross-functional initiatives, influencing without direct authority, and representing Databricks with customers, partners, analysts, and at industry events. Comfort operating in a fast-paced, highly cross-functional environment , where you help define new motions and processes rather than simply optimizing established playbooks. 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

$163,400—$224,750 USD

Zone 2 Pay Range

$147,100—$202,300 USD

Zone 3 Pay Range

$139,000—$191,050 USD

Zone 4 Pay Range

$130,700—$179,750 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 onTwitter,LinkedInandFacebook. 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. #J-18808-Ljbffr Databricks