About the job
At ZoomInfo, we are dedicated to accelerating careers. Our fast-paced environment encourages bold thinking and empowers you to produce your best work. You will collaborate with passionate teammates who challenge one another and celebrate achievements together. With tools that enhance your contributions and a culture that supports your aspirations, you won’t just be part of the team—you’ll be instrumental in driving results.
Principal Software Engineer, Applied AI
Location: Remote or Hybrid
Team: Applied AI
Level: Principal
Join Us in Reimagining B2B Intelligence
At ZoomInfo, we are building the future of B2B marketing intelligence—and we’re seeking engineers who are eager to help shape that future.
As a Principal Engineer on our Advertising, Company Intelligence, and Intent team, you will design and implement the fundamental systems powering our real-time marketing platform. From high-throughput advertising infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, you will push the limits of scale, intelligence, and speed—delivering tangible business impact.
Join a team engaged in a diverse array of ambitious, technically challenging projects—from APIs that process tens of billions of events daily to innovative buyer intent algorithms powered by LLMs, and a unified B2B identity graph. Based on your strengths and interests, you will be aligned with initiatives where you can make the most significant impact.
This is a high-growth, high-ownership environment operating at the forefront of modern software engineering, data infrastructure, and applied AI.
What You’ll Do
- Design and build distributed systems capable of processing, enriching, and responding to billions of behavioral events in real-time.
- Develop high-performance APIs and services that support advertising, identity, and intent functionalities across the Marketing Platform.
- Utilize machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and facilitate intelligent decision-making.
- Construct intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights.
- Design and manage data pipelines employing tools such as Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads.
- Ensure quality, performance, scalability, and observability across all systems you oversee.
- Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features.
