
1001 - 5000 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
💰 Private Equity Round on 2014-04
B2B • SaaS • Enterprise
ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.
🕒 April 14
🦀 Maryland, Massachusetts – Remote
💵 $163.8k - $257.4k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
🤝 B2B
☁️ SaaS
🏢 Enterprise
💰 Private Equity Round on 2014-04
B2B • SaaS • Enterprise
ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.
• 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 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 to support both streaming and batch workloads • Drive quality, performance, scalability, and observability across all 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
• 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. • Strong experience in at least one of the following: • Distributed systems engineering (e.g., building low latency high and throughput APIs, scalable microservices, event processing pipelines) • Big data infrastructure (e.g., streaming, warehousing, low-latency storage at scale) • Applied AI/ML, including use of LLMs for extraction, classification, or reasoning tasks • Proficiency in one or more core languages: Java, Go, 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.
• Health insurance • 401(k) matching • Wellness programs • Paid time off
Apply Now🕒 April 14
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