
51 - 200 employees
đą Enterprise
âïž SaaS
Enterprise âą 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.
đ„ 0 minutes ago
đșđž United States â Remote
đ” $150k - $200k / year
â° Full Time
đĄ Mid-level
đ Senior
đ Support Engineer
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51 - 200 employees
đą Enterprise
âïž SaaS
Enterprise âą 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.
âą Guide new customers through implementation and deployment âą Ensure solutions architectured during the sales cycle are realized in production âą Serve as the ongoing technical point of contact post-sale âą Drive product adoption, resolve technical issues, and identify expansion opportunities âą Build trusted, long-term relationships with customer technical stakeholders âą Understand customer business problems and technical constraints and represent their interests internally âą Monitor account technical health and troubleshoot production issues âą Recommend architecture or configuration improvements as customer needs evolve âą Relay customer patterns and pain points to the engineering and product teams âą Assist with designing or executing Proofs of Concept for prospects âą Maintain detailed records of evaluations, use cases, challenges, PoC plans, and outcomes âą Collaborate with sales to align technical discussions with business goals, address objections, and close deals âą Gather customer insights to shape the Agentic Database roadmap with product and engineering teams âą Deliver webinars, staff conference booths, speak at user groups, and write blogs on Agentic AI use cases and best practices
âą 5+ years in a pre-sales and/or post-sales role such as solutions engineering, technical consulting or customer success engineering âą Experience ideally within the data analytics, database, or cloud infrastructure space âą Hands-on experience of OLAP workloads, query optimization, and data modeling (e.g., star schema, snowflake schema) âą Proficiency in SQL âą Deep understanding of distributed data processing system theory âą Familiarity with at least one public cloud platform: AWS, GCP, or Azure âą Ability and willingness to learn PhoenixAI Agentic Database product intricacies âą Ability to distill complex technical concepts into clear narratives for diverse stakeholders, from engineers to C-level executives âą Ability to troubleshoot technical challenges during PoCs and adapt solutions to unique customer needs âą Experience supporting sales and post-sales teams in technical evaluations âą Track record of securing technical wins and driving revenue growth âą Knowledge of BI tools such as Tableau or Looker is a bonus âą Experience with streaming processing systems such as Kafka or Redpanda is a bonus
âą Equity âą PhoenixAI's full benefits package
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