Databricks에서 Technical Product Manager를 채용합니다. OLTP 데이터베이스 또는 데이터 거버넌스 분야의 전문성을 바탕으로 제품 로드맵을 설계하고 엔지니어링 팀과 협업합니다. 5년 이상의 기술적 경력과 Python/SQL 역량이 필수이며, 기술 현장과 제품 팀을 잇는 가교 역할을 수행하게 됩니다.
As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.
Depending on your background, you will focus on one of two critical product areas:
You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.
You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).
This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.
You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.
5+ years of experience with a strong, hands-on technical background
Strong empathy for customers across full spectrum of Data Platform users
Deep domain expertise in one of the following:
Transactional databases (OLTP), cloud-native databases, or distributed systems
Data governance, data catalogs, lineage, and access management
Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
Strong Python and SQL skills
Experience using AI-assisted development tools
Experience with systems design and architecture
Proven ability to work effectively across product, engineering, and technical field teams
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.
