ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Design and build distributed systems that process, enrich, and respond to billions of behavioral events per day in real time.
  • Develop high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform.
  • Leverage machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making.
  • Build intelligent agents and agent frameworks (e.g., LangGraph, MCP) to reason over data and power user-facing insights.
  • Design and operate streaming and batch data pipelines using tools like Kafka, Kinesis, and ClickHouse.
  • Drive quality, performance, scalability, and observability across the systems you own.
  • Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling.
  • Provide technical leadership and mentor teammates, contributing to architecture and team direction.

Requirements

  • 5+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  • Strong experience in at least one of: distributed systems engineering (low-latency/high-throughput APIs, scalable microservices, event pipelines), big data infrastructure (streaming, warehousing, low-latency storage at scale), or applied AI/ML (including LLMs for extraction, classification, or reasoning).
  • Proficiency in one or more core languages: Java, Go, or Python.
  • Solid grasp of SQL and large-scale data modeling.
  • Familiarity with databases and tools such as ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, and Snowflake.
  • Comfortable using LLMs and AI-assisted tools (e.g., Copilot, ChatGPT, Claude, Cursor) as part of the development workflow.
  • Skilled at designing and implementing LLM-powered systems such as RAG pipelines and agent frameworks.
  • Nice-to-have: experience in ad tech/real-time bidding/programmatic systems, identity resolution or attribution at scale, contributions to open source in ML/infrastructure/data tooling, and strong product instincts.

Benefits

  • US base salary range $163,800–$257,400 (additional compensation such as bonus, commission, equity, and other benefits may apply).
  • Remote or hybrid work options.
  • Comprehensive employee benefits package (health and related benefits).
  • Holistic mind, body, and lifestyle programs designed for overall well-being.

Interested in this position?

Apply directly on the company website

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