Product Analytics Engineer

Overview

Job Description

Responsibilities

• - Own product analytics end-to-end - From event taxonomy and instrumentation through to dashboards and insight delivery.
• - Build and extend instrumentation - Improve frontend event tracking, add server-side event capture, and ensure event taxonomy is consistent and useful.
• - Design dashboards PMs use daily - Build views that answer key questions: feature adoption, user engagement, conversion through key flows, retention signals.
• - Define what we measure and why - Create and maintain event taxonomy and measurement framework.
• - Surface insights proactively - Spot usage patterns, adoption trends, and drop-off points, and bring them to the product team with context.
• - Enable self-service analysis - Build data models, saved queries, and documentation for PMs and stakeholders.
• - Maintain data quality and trust - Instrument tests, monitor event pipelines, and fix issues before anyone notices.

Required Skills

• - Built product analytics systems from early stage - defined event taxonomies, instrumented applications, and created dashboards.
• - Worked with event-based analytics platforms like Amplitude, Mixpanel, PostHog, or Heap - configured the platform, defined events, and managed the data pipeline.
• - Implemented both client-side and server-side event tracking - understand the difference, trade-offs, and when each is appropriate.
• - Written code to ship instrumentation - TypeScript on the frontend, Python or Node.js on the backend, or SQL for data modelling.
• - Designed metrics and dashboards that changed how a product team operated.
• - Worked in a startup or high-growth environment where prioritization was key.

Benefits

• - Competitive salary, clear performance-based incentives, and equity package.
• - Significant opportunities to progress within the sales organization.
• - Direct impact on XBOW’s mission to revolutionize cybersecurity.