Product Analytics Engineer

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🕒 July 28

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Nous Research

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔬 Science

💰 $50M Series A on 2025-05

Artificial Intelligence • Science

Nous Research is a US-based leader in the open-source AI movement that trains large open-source language models and builds infrastructure to coordinate distributed, unbiased training. Its stated mission is to advance human rights and freedoms by creating and proliferating open-source language models, supporting their unrestricted availability and use, and furthering scientific and popular understanding of these models. The company focuses on applied AI research areas including model architecture, data synthesis, fine-tuning, and reasoning, and provides tooling and platforms (e. g. , Hermes, Nous Portal, Psyche, Nous Chat, simulators) to accelerate model development and deployment.

📋 Description

• Own product analytics end-to-end, from event design and instrumentation through data modeling, analysis, and product recommendations. • Define and maintain a consistent event taxonomy and shared metrics layer across Hermes Agent and Nous Portal. • Implement and maintain analytics instrumentation across desktop, mobile, web, CLI, backend services, and third-party integrations. • Build reliable data pipelines, transformations, dashboards, and monitoring systems for understanding product behavior. • Analyze user funnels, cohorts, retention, behavioral paths, and churn to identify friction points and improvement opportunities. • Segment user behavior across platforms, acquisition channels, pricing plans, models, tools, and use cases. • Design and evaluate experiments measuring activation, engagement, retention, conversion, and revenue impact. • Partner with Product, Engineering, Design, and Support to translate data into prioritized product improvements. • Combine quantitative analysis with qualitative user feedback, customer conversations, and direct product usage. • Build monitoring and alerting systems for key product metrics and investigate anomalies. • Establish best practices for instrumentation, documentation, data quality, and privacy-conscious telemetry.

🎯 Requirements

• 5+ years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a similarly technical product role. • Expert SQL skills. • Strong proficiency in Python. • Production application-code experience with TypeScript, JavaScript, or similar languages. • Hands-on experience implementing analytics instrumentation across client applications and backend systems. • Experience with product analytics platforms such as PostHog, Amplitude, or Mixpanel, plus data warehouses and BI tools. • Deep understanding of activation, engagement, retention, churn, experimentation, and funnel-analysis metrics. • Ability to trace issues from dashboards through underlying systems and instrumentation. • Excellent communication skills and ability to translate behavioral data into product recommendations. • Entrepreneurial mindset, strong ownership, and ability to operate in a fast-moving environment. • Extensive use of 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-conscious telemetry, and high-volume event streams.