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About the Role
As a Principal Engineer on the Advertising, Company Intelligence, and Intent team, you will design and implement core systems for a real-time marketing platform. You will push the boundaries of scale, intelligence, and speed in areas like high-throughput ad infrastructure, large-scale identity resolution, and LLM-enhanced intelligent systems, delivering significant business impact.
Responsibilities
- Design and build distributed systems to process, enrich, and respond to billions of behavioral events daily in real time.
- Develop high-performance APIs and services supporting advertising, identity, and intent features.
- Leverage machine learning and LLMs for data analysis, content classification, signal extraction, and intelligent decision-making.
- Build intelligent agents using frameworks like LangGraph or MCP for data reasoning and user-facing insights.
- Design and operate data pipelines using Kafka, Kinesis, and ClickHouse for streaming and batch workloads.
- Drive quality, performance, scalability, and observability across owned systems.
- Collaborate cross-functionally with product managers, data scientists, and engineers to deliver features and tooling.
- Contribute to technical leadership and mentorship of teammates.
Requirements
- 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership.
- Strong experience in distributed systems engineering (low latency high throughput APIs, scalable microservices, event processing pipelines).
- Strong experience in big data infrastructure (streaming, warehousing, low-latency storage at scale).
- Strong experience in applied AI/ML, including LLM use for extraction, classification, or reasoning.
- Proficiency in 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, Snowflake.
- AI-Native Development Mindset.
- Comfortable using LLMs in development workflows (e.g., Copilot, Cursor, ChatGPT, Claude) for productivity, architecture exploration, and prototyping.
- Skilled at designing and implementing LLM-powered systems (RAG pipelines, agent frameworks like LangGraph, intelligent workflows).
Skills
- Distributed systems engineering
- Big data infrastructure
- Applied AI/ML
- LLMs
- Java
- Go
- Python
- SQL
- Data modeling
- ClickHouse
- DynamoDB
- Bigtable
- Memcached
- Kafka
- Kinesis
- Firehose
- Airflow
- Snowflake
- RAG pipelines
- LangGraph
Location
- Remote
Work Type
- Full-time
Experience Level
- Principal Engineer
- 8+ years of experience
Salary/Compensations
- $163,800—$257,400 USD
Benefits
- Comprehensive benefits
- Holistic mind, body and lifestyle programs designed for overall well-being
About the Company
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation.
- Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
Equal Opportunity
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status.
- We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law.
- We also consider qualified candidates with criminal histories in accordance with legal requirements.