What you’ll work on

We’re building a world-class web analytics platform to track traffic from AI agents and the humans who use them. The platform spans polyglot SDKs for data collection, a high-throughput ingestion and processing pipeline, and an analytics UI used by customers to understand how their content is being discovered and used by AI systems.

In this role, you’ll work across the core analytics stack: from event collection and data modeling to query performance and metric correctness. Beyond the core pipeline, you’ll also lead and contribute to projects around semantic clustering, sessionization, and path analysis: helping us characterize and understand AI agent behavior at a level that doesn’t yet exist in the market.

We’re looking for technical generalist who can help us scale to billions of daily events, who is capable of building and maintaining a dozen of tracking SDKs written in different languages to cover all web stacks. A problem-solver who has experience building and scaling and complex distributed systems. An engineer who will partner with product team to build the first-class user experience for web analytics.

• A strong grasp of computer science fundamentals
• Expertise in large distributed systems and data engineering
• A bias towards shipping early and iterating to prioritise “what actually matters”
• Comfortable working across the stack and

## AI agent behavior at a level that doesn’t yet exist in the market.

• Terraform
• OLAP
• ClickHouse
• AWS
• PostgreSQL
• Serverless: worker systems, scheduling, self-recovering workflows
• Scraping
• LLMs and AI engineering
• Distributed infra
• ETLs

• Experience building analytics platform
• Familiarity with Go language
• Expertise with data-engineering and modeling: snowflake/star, batch processing, event streaming
• Experience migrating infrastructures and platform engineering, k8s