Product Analytics Engineer
Nous ResearchVisit Nous Research website
Open-source AI company that trains models, builds AI agents, and develops distributed-training infrastructure.
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Maintainer signals as of 9/24/2026
Distributed
Funding history
About Nous Research
Nous Research develops open AI models, the Hermes Agent, Nous Portal, and distributed-training technology. Its current site presents an installable, open-source agent and a paid cloud/model-access service.
Skills
About the Role
You will own product analytics from event design through recommendations. You will build instrumentation, pipelines, dashboards, monitoring, and experiments; analyze user behavior and product metrics; investigate anomalies; and turn quantitative and qualitative feedback into prioritized product improvements.
Requirements
- 5+ years of Product Analytics, Analytics Engineering, Data Engineering, or similar experience
- SQL expertise
- Python proficiency
- TypeScript, JavaScript, or similar production application codebase experience
- Analytics instrumentation experience
- PostHog, Amplitude, Mixpanel, data warehouse, and BI tool experience
- Product metrics, experimentation, and funnel analysis knowledge
- AI-assisted development and analysis experience
- AI product, LLM application, AI agent, or developer tool experience
- Agent workflow, tool calling, model routing, or memory system familiarity
- Subscription or usage-based SaaS analytics experience
- Privacy-conscious telemetry experience
Responsibilities
- Own product analytics from event design and instrumentation through data modeling, analysis, and recommendations
- Define and maintain event taxonomy and a shared metrics layer
- Implement analytics instrumentation across client applications, backend services, and integrations
- Build data pipelines, transformations, dashboards, monitoring, and alerting systems
- Analyze funnels, cohorts, retention, behavioral paths, churn, and user segments
- Design and evaluate product experiments
- Translate data and feedback into prioritized product improvements
- Establish analytics instrumentation, documentation, data-quality, and privacy-conscious telemetry practices
