Product Marketing Director, Lakewatch

Databricks•San Francisco, CA

10h

About The Position

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.

Requirements

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.

Responsibilities

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).