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PhoenixAI

Real-time analytical database for AI agents

Database Support Engineer

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USAHybrid

About the Job

Requirements

  • At least 3 years of experience in a pre-sales and/or post-sales role such as solutions engineering, technical consulting, or customer success engineering; the employer is flexible on experience and welcomes outstanding Computer Science graduates from strong universities.
  • Hands-on experience with OLAP workloads, query optimization, and data modeling, including star and snowflake schemas.
  • Proficiency in SQL.
  • Deep understanding of distributed data processing system theory.
  • Familiarity with at least one public cloud platform: AWS, GCP, or Azure.
  • Ability to explain complex technical concepts clearly to diverse stakeholders, from engineers to C-level executives.
  • Ability to troubleshoot technical challenges during proofs of concept and adapt solutions to customer needs.
  • Experience supporting sales and post-sales teams in technical evaluations, with a track record of securing technical wins and driving revenue growth.

Responsibilities

  • Guide new customers through implementation and deployment, ensuring solutions designed during the sales cycle are realized in production.
  • Serve as the ongoing technical point of contact after the sale, driving product adoption, resolving technical issues, and identifying expansion opportunities.
  • Build trusted, long-term relationships with customer technical stakeholders and understand their business problems and technical constraints well enough to represent their interests internally.
  • Proactively monitor account technical health, troubleshoot production issues, and recommend architecture or configuration improvements as customer needs evolve.
  • Relay patterns and pain points observed across customers to the engineering and product teams.
  • Assist with designing or executing proofs of concept for prospects when presales bandwidth requires it.
  • Keep detailed records of evaluations, including use cases, challenges, proof-of-concept plans, and outcomes, to refine the process and inform product enhancements.
  • Collaborate with sales to align technical discussions with business goals, address objections, and close deals; gather customer insights to shape the product roadmap with product and engineering teams.
  • Deliver webinars, staff conference booths, speak at user groups, and write blogs on Agentic AI use cases and best practices.

Desired Qualifications

  • Knowledge of business intelligence tools such as Tableau or Looker.
  • Experience with streaming processing systems such as Kafka or Redpanda.

About the Company

PhoenixAI

Real-time analytical database for AI agents

PhoenixAI builds real-time analytic databases for AI agents and applications. Its engine ingests streaming data (Kafka, Flink CDC) and reads lakehouse tables (Iceberg, Delta Lake, Hudi) in place, then joins fresh data with historical data in a single query to deliver sub-second SQL without precomputation. It offers isolated multi-warehouse compute so agent workloads, BI, and data ingestion run side-by-side without competition for resources, with monitoring, security, and access controls. Customers can use a cloud-hosted managed version (PhoenixAI Cloud) deployed in their cloud account, or a self-managed Kubernetes version (PhoenixAI Anywhere) in their environment. The company centers its product on an open-source core (StarRocks) and adds extra security, governance, and support under commercial contracts. The goal is to provide fast, reliable, and secure real-time analytics for AI workloads and data teams, enabling seamless querying across streaming and historical data.

Company size
51-200
Company stage
Series B
Total funding
$80M
Headquarters
Menlo Park, CA
Founded
2022

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