Databricks는 Technical Program Manager를 채용합니다. 빅데이터 프로젝트 관리 경험과 상업적 프로젝트 운영 능력이 필수입니다. ASEAN 및 Greater China 지역의 고객 성공을 위해 프로젝트 리스크 관리, 재무 관리, 팀 멘토링을 수행합니다. 4년 이상의 경력과 Agile 방법론에 대한 이해가 필요하며, 복잡한 데이터 및 AI 환경에서 프로젝트를 성공적으로 이끌 인재를 찾습니다.
CSQ427R141
At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big data and AI use cases. You will shape the future big data and the machine learning landscape for leading Fortune 500 organizations.
Technical Project Managers accomplish the mission of the Professional Services team, which is to accelerate and de-risk our customers' outcome through improved project success. Whilst maintaining a high level of customer satisfaction project managers balance delivery responsibilities with the commercial goals of the professional services organization. You will report to the Director, Professional Services.
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.