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 to analyze behavioral data, classify content, extract signals, and support decision-making.
  • Build intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights.
  • Design and operate data pipelines using tools like Kafka, Kinesis, and ClickHouse for streaming and batch workloads.
  • 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.
  • Contribute to technical leadership and mentorship of teammates.

Requirements

  • 9+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
  • Experience building distributed systems, such as low-latency, high-throughput APIs, scalable microservices, or event processing pipelines.
  • Experience with big data infrastructure, including streaming, warehousing, or low-latency storage at scale.
  • Applied AI/ML experience, including use of LLMs for extraction, classification, or reasoning tasks.
  • Proficiency in one or more core languages: Java, Go, or Python.
  • Solid grasp of SQL and large-scale data modeling.
  • Familiarity with tools and databases such as ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, or Snowflake.
  • Comfort using LLMs in the development workflow via tools like Copilot, Cursor, ChatGPT, or Claude.
  • Experience designing LLM-powered systems such as RAG pipelines, agent frameworks like LangGraph, or intelligent workflows over large datasets in real time.
  • Bonus points for experience in ad tech, real-time bidding, or programmatic systems, identity resolution, attribution, or behavioral analytics at scale, open source contributions in ML/infrastructure/data tooling, or strong product instincts.

Benefits

  • US base salary of $140,000 to $220,000.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle programs designed for overall well-being.
  • Remote role noted with #LI-Remote.

Interested in this position?

Apply directly on the company website

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