Description
We're looking for a Principal Software Engineer to join our Advertising, Company Intelligence, and Intent team. As a key member of our engineering team, you'll design and implement the core systems that power our real-time marketing platform.
Your responsibilities will include:
- Designing and building distributed systems that process, enrich, and respond to billions of behavioral events per day in real time
- Developing high-performance APIs and services that support advertising, identity, and intent features across the Marketing Platform
- Leveraging machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and enable intelligent decision-making
- Building intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights
- Designing and operating data pipelines using tools like Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads
- Driving quality, performance, scalability, and observability across all systems you own
- Collaborating cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features and internal tooling
- Contributing to technical leadership and mentorship of teammates
We're looking for someone with 8+ years of backend, data, or infrastructure engineering experience, or equivalent impact and leadership. You should have strong experience in at least one of the following areas:
- Distributed systems engineering
- Big data infrastructure
- Applied AI/ML
You should also be proficient in one or more core languages (Java, Go, Python), have a solid grasp of SQL and large-scale data modeling, and familiarity with databases and tools such as ClickHouse, DynamoDB, Bigtable, Memcached, Kafka, Kinesis, Firehose, Airflow, Snowflake.
Bonus points if you have experience in ad tech, real-time bidding (RTB), or programmatic systems, background in identity resolution, attribution, or behavioral analytics at scale, contributions to open source in ML, infrastructure, or data tooling, or strong product instincts and a passion for building tools that drive meaningful outcomes.