Databricks에서 사내 직원 경험(Employee Experience)을 혁신할 시니어 프로덕트 매니저를 채용합니다. 5년 이상의 PM 경력과 인사(HR) 도메인 지식, 에이전트 자동화(Agentic Automation) 및 AI 워크플로우에 대한 깊은 이해가 필수입니다. 사내 시스템을 통합하고 지능형 자동화 플랫폼을 구축하는 '0 to 1' 프로젝트를 주도하게 됩니다.
Location: San Francisco, CA or Mountain View, CA
GAQ426R322
At Databricks, our mission is to help data teams solve the world’s toughest problems and that starts with empowering our own employees. The Databricks IT organization is a product-led team that builds intelligent, scalable systems to make every Brickster’s workday simpler, faster, and more connected. We’re reimagining how employees and managers interact with internal tools; designing a unified, AI-driven experience that integrates data, insights, and workflows across the company.
We’re looking for a Senior Product Manager (L5) to lead strategy and delivery for our newly formed People Pod. This role is a "zero to one" initiative focused on building next-generation agentic workflows on top of Databricks to fundamentally enhance internal employee experience tools and extend capabilities far beyond traditional systems like Workday.
Managers and employees at Databricks interact with dozens of systems every week, from Workday to performance and onboarding tools, often switching contexts and duplicating effort. This team is responsible for defining and delivering product vision to simplify and unify the employee experience, designing an integrated, intelligent automation layer that sits on top of our systems of record to surface the right tasks, insights, and actions in one place.
As the Product Manager for the People Pod, you will own a highly visible, zero-to-one product area, driving product thought leadership to shape how Databricks scales its internal workforce lifecycle through advanced automation and specialist domain applications.
This is an opportunity to build one of Databricks’ most visible and innovative internal products, touching every employee and manager. You’ll define how the company experiences its own culture, systems, and data, while shaping a product that directly leverages Databricks’ own bleeding-edge technology. You’ll have the autonomy to create the future of how Databricks works, operating in a highly strategic environment with a direct line to leadership.
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates 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
$145,000—$199,300 USD
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.
