Product Analytics Engineer (AI)

Company

hirify.global develops Hermes Agent and Nous Portal.

What you will do

• Own product analytics end to end, from event taxonomy and instrumentation to data modeling, analysis, and product recommendations.
• Implement analytics instrumentation across desktop, mobile, web, CLI, backend services, and third-party integrations.
• Build reliable data pipelines, transformations, dashboards, monitoring, and alerting for key product metrics.
• Analyze funnels, cohorts, retention, churn, behavioral paths, and user segments across platforms, plans, models, tools, and use cases.
• Design and evaluate experiments covering activation, engagement, retention, conversion, and revenue.
• Partner with Product, Engineering, Design, Support, and Leadership to turn quantitative and qualitative insights into prioritized product improvements.

Requirements

• 5+ years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a similar technical product role.
• Expert SQL skills and strong Python proficiency, plus experience with TypeScript, JavaScript, or similar languages in production codebases.
• Hands-on experience implementing analytics instrumentation across client applications and backend systems.
• Experience with product analytics platforms such as PostHog, Amplitude, or Mixpanel, as well as data warehouses and BI tools.
• Strong understanding of activation, engagement, retention, churn, experimentation, funnel analysis, data quality, and privacy-conscious telemetry.
• Ability to trace issues from dashboards through underlying systems and communicate clear product recommendations in a fast-moving environment.

Nice to have

• Experience with AI products, LLM applications, AI agents, or developer tools.
• Familiarity with agent workflows, tool calling, model routing, memory systems, and other modern AI application patterns.
• Experience measuring cross-platform products and subscription or usage-based SaaS products, including conversion, credits, renewals, and monetization.
• Experience designing privacy-conscious telemetry for open-source or developer-focused products.
• Experience building analytics systems for high-volume event streams and rapidly growing products.

Culture & Benefits

• Operate with strong ownership and an entrepreneurial mindset.
• Use AI-assisted development and analysis to improve speed, depth, and quality of work.
• Collaborate across Product, Engineering, Design, Support, and Leadership.