Product Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take full ownership of product analytics from the design of events and instrumentation to data modeling, analysis, and generating product recommendations.

• Establish and uphold a unified event taxonomy and a shared metrics layer for both Hermes Agent and Nous Portal.

• Implement and sustain analytics instrumentation across various platforms including desktop, mobile, web, CLI, backend services, and third-party integrations.

• Develop dependable data pipelines, transformations, dashboards, and monitoring systems to gain insights into product behavior.

• Examine user funnels, cohorts, retention rates, behavioral paths, and churn to pinpoint friction points and opportunities for enhancements.

• Segment user behavior based on platforms, acquisition channels, pricing plans, models, tools, and use cases.

• Design and assess experiments that measure activation, engagement, retention, conversion, and the impact on revenue.

• Collaborate with Product, Engineering, Design, and Support teams to convert data insights into prioritized product enhancements.

• Merge quantitative analysis with qualitative user feedback, customer discussions, and direct product usage.

• Create monitoring and alert systems for critical product metrics and investigate any anomalies that arise.

• Set best practices for instrumentation, documentation, data quality, and privacy-focused telemetry.

⛳️ Requirements

• Over 5 years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a comparable technical product role.

• Proficient in SQL.

• Strong skills in Python.

• Experience in production application coding with TypeScript, JavaScript, or related languages.

• Practical experience in implementing analytics instrumentation across client applications and backend systems.

• Familiarity with product analytics platforms such as PostHog, Amplitude, or Mixpanel, alongside data warehouses and BI tools.

• In-depth understanding of activation, engagement, retention, churn, experimentation, and funnel-analysis metrics.

• Capable of tracing issues from dashboards to the underlying systems and instrumentation.

• Exceptional communication skills with the ability to translate behavioral data into actionable product recommendations.

• An entrepreneurial mindset with a strong sense of ownership, able to thrive in a dynamic environment.

• Extensive experience utilizing AI-assisted development and analysis.

• Nice-to-have: experience with AI products, LLM applications, AI agents, or developer tools.

• Nice-to-have: familiarity with agent workflows, tool calling, model routing, and memory systems.

• Nice-to-have: experience with cross-platform products, subscription or usage-based SaaS, privacy-focused telemetry, and high-volume event streams.

🏝️ Benefits

• Comprehensive health benefits package.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Dynamic and collaborative work environment.