
51 - 200 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS
CelerData is an analytics platform company that offers a fast and easy-to-use analytics solution for data lakehouses. Powered by StarRocks, CelerData provides solutions for real-time analytics, customer-facing analytics, and more, eliminating the need for traditional data warehouses. With the ability to run demanding workloads directly on data lakehouses, CelerData simplifies data architecture and enhances performance and scalability. It is particularly known for its industry-leading real-time OLAP solution and for significantly improving query performance, making it a preferred choice for enterprises looking for cost-efficient and high-performance data analytics solutions.
🕒 July 9
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51 - 200 employees
🏢 Enterprise
☁️ SaaS
Enterprise • SaaS
CelerData is an analytics platform company that offers a fast and easy-to-use analytics solution for data lakehouses. Powered by StarRocks, CelerData provides solutions for real-time analytics, customer-facing analytics, and more, eliminating the need for traditional data warehouses. With the ability to run demanding workloads directly on data lakehouses, CelerData simplifies data architecture and enhances performance and scalability. It is particularly known for its industry-leading real-time OLAP solution and for significantly improving query performance, making it a preferred choice for enterprises looking for cost-efficient and high-performance data analytics solutions.
• Drive product design for core analytical database features - conducting user research and competitive analysis, and translating insights into clear, well-scoped PRDs. • Design intuitive, easy-to-use interfaces for core database capabilities, and continuously iterate based on evolving user needs and market trends. • Partner closely with engineering, QA, and other cross-functional teams to drive the full product lifecycle - from development through testing to delivery and launch. • Own product quality throughout execution and shape the roadmap for core database features. • Track user feedback and adoption after launch, driving ongoing optimization of core features. • Manage the full feature lifecycle, ensuring capabilities continue to evolve in line with user and market needs.
• 8+ years of Product Management experience; experience with big data platforms or database products strongly preferred. • Deep, hands-on ownership of database internals - query engines, storage engines, OLAP/columnar systems, or distributed database architecture. • Comfortable using AI tools to drive product design and prototyping. • Ability to reason about technical systems and user workflows. • Experience working with engineering teams in Agile / Scrum environments. • Strong organizational skills and attention to detail. • Hands-on familiarity with at least one of: StarRocks, ClickHouse, Presto, Druid, Snowflake, Redshift, or BigQuery. • Familiarity with data warehouse modeling processes; DBA/ops experience a plus. • Prior experience at a DBaaS (Database-as-a-Service) or infrastructure-heavy startup.
• Professional development opportunities
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