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PhoenixAI

Real-time analytical database for AI agents

Recruiter

Generalist RecruitingConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USAIn-person

About the Job

Requirements

  • Four or more years of full-cycle recruiting experience at high-growth technology or B2B SaaS companies, with deep expertise in either go-to-market or technical hiring.
  • Track record recruiting in a fast-paced startup environment, ideally at Series B or a similar growth stage.
  • Strong sourcing skills and a track record of filling competitive roles without relying on inbound volume.
  • Hands-on experience with Rippling or a comparable applicant tracking system and LinkedIn Recruiter; able to own scheduling and coordination where needed.
  • Experience partnering directly with executives across functions and managing stakeholders.
  • Comfort with ambiguity and building processes from scratch.
  • Bachelor's degree or equivalent experience.

Responsibilities

  • Own full-cycle recruiting for roles across go-to-market, research and development, and general and administrative functions, from intake through offer and close.
  • Partner with hiring managers and leadership across functions to define role requirements, hiring plans, and interview processes.
  • Build and manage pipelines for competitive roles through sourcing, referrals, and outbound outreach.
  • Recruit technical roles in research and development and in the field, such as Solutions Architect, partnering with technical interviewers to set and maintain a consistent hiring bar.
  • Advise hiring managers on market conditions, compensation benchmarking, and candidate experience.
  • Manage candidate experience end-to-end, ensuring timely communication and a smooth interview process.
  • Lead offer negotiation and close, working directly with candidates through acceptance.
  • Track and report recruiting metrics, including pipeline health, time-to-fill, and conversion rates, to inform hiring strategy.
  • Establish and refine scalable recruiting processes, tooling, and documentation as the team grows.

Desired Qualifications

  • Familiarity with the data infrastructure or database space.

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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