Product Marketing Director, 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 SIEM that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response.

We are looking for a senior product marketer to own the product marketing strategy for Lakewatch and lead its next phase of growth. In this role, you will define the Lakewatch narrative, partner with product and engineering to shape the roadmap and launches, and collaborate closely with sales, partner marketing, and the broader 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 product, engineering, sales, and alliances.

• Hit or exceed Lakewatch pipeline and revenue goals by defining 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.
• Increase Lakewatch adoption and usage across priority customer segments by establishing a compelling narrative and positioning that differentiates Databricks in cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.
• Establish Databricks as a recognized leader in cybersecurity and security analytics by driving thought leadership, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and security-related pipeline contribution.
• 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 Lakewatch capabilities within defined timeframes after launch.
• Improve sales and overlay effectiveness in Lakewatch opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch win rates and reduce sales cycle times across core regions and segments.
• Grow partner-sourced and partner-influenced Lakewatch pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.
• Continuously optimize Lakewatch 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).

• Extensive product marketing experience in enterprise cybersecurity 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 segment and persona strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.
• Track record of crafting positioning and storytelling for both security practitioners and business stakeholders that led to measurable improvements in engagement, win rate, deal size, or solution attach.
• Demonstrated success partnering with product and engineering 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, and enablement improved Lakewatch-like outcomes such as win rates, sales cycle times, or attach rates.
• Experience collaborating with cloud and technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.
• Strong communication and executive presence, comfortable leading cross-functional initiatives, influencing without direct authority, and representing the product 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.

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 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.

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.