CelerData
CelerData
51 – 200 Darbuotojai
ĮmonėSaaS
CelerData builds analytics software for data lakehouses, powered by StarRocks. Its platform supports real-time and customer-facing analytics, running demanding queries directly on lakehouse data instead of relying on a traditional data warehouse. CelerData focuses on fast OLAP performance and scalable analytics for enterprise use. The company operates in enterprise software and SaaS.

Database Support Engineer (Remote, United States) – CelerData

Help enterprise customers deploy, adopt, and optimize PhoenixAI’s Agentic AI Database. Support technical evaluations and sales efforts while building lasting customer success.

Aprašymas

  • Lead new customers through implementation and deployment.
  • Translate solutions designed during sales into working production environments.
  • Act as the primary technical contact for customers after the sale.
  • Increase product adoption, resolve technical problems, and uncover opportunities to expand accounts.
  • Develop lasting, trusted relationships with customers’ technical teams.
  • Learn customers’ business needs and technical constraints, then advocate for them internally.
  • Track technical account health and diagnose production issues.
  • Suggest architecture and configuration changes as customer requirements evolve.
  • Share recurring customer needs and challenges with product and engineering teams.
  • Help prospects plan and run Proofs of Concept.
  • Document evaluations, use cases, challenges, PoC plans, and results in detail.
  • Work with sales to connect technical conversations to business objectives, address concerns, and support deal closure.
  • Bring customer feedback to product and engineering teams to inform the Agentic Database roadmap.
  • Present Agentic AI use cases and best practices through webinars, conference appearances, user groups, and blog posts.

Reikalavimai

  • Bring 5+ years of experience in a pre-sales or post-sales position, such as solutions engineering, technical consulting, or customer success engineering.
  • Experience in data analytics, databases, or cloud infrastructure is preferred.
  • Have hands-on experience with OLAP workloads, query optimization, and data modeling, including star and snowflake schemas.
  • Be proficient in SQL.
  • Understand the theory behind distributed data processing systems in depth.
  • Have experience with at least one public cloud platform: AWS, Google Cloud Platform, or Azure.
  • Be ready and willing to learn the details of the PhoenixAI Agentic Database product.
  • Explain complex technical topics clearly to audiences ranging from engineers to C-level executives.
  • Troubleshoot technical issues during PoCs and tailor solutions to different customer needs.
  • Have supported sales and post-sales teams with technical evaluations.
  • Show a history of winning technical evaluations and contributing to revenue growth.
  • Experience with BI tools such as Tableau or Looker is a plus.
  • Experience with streaming systems such as Kafka or Redpanda is a plus.

Privalumai

  • Equity.
  • PhoenixAI’s full benefits package.

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