Product Analytics Engineer

Job not on LinkedIn

🔥 58 minutes ago

🗽 New York – Remote

🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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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 that make product behavior easy to understand and trust. • Analyze user funnels, cohorts, retention, behavioral paths, and churn to identify friction points and opportunities for improvement. • Segment user behavior across platforms, acquisition channels, pricing plans, models, tools, and use cases to uncover actionable insights. • Design and evaluate experiments, measuring the impact of product changes on activation, engagement, retention, conversion, and revenue. • Partner with Product, Engineering, Design, and Support to translate data into prioritized product improvements. • Combine quantitative analysis with qualitative feedback from users, customer conversations, and direct product usage to develop a complete understanding of user behavior. • Build monitoring and alerting systems for key product metrics and proactively investigate anomalies. • Establish best practices for analytics 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 and strong proficiency in Python, with experience working in production application codebases using TypeScript, JavaScript, or similar languages. • Hands-on experience implementing analytics instrumentation across client applications and backend systems. • Experience with modern product analytics platforms such as PostHog, Amplitude, or Mixpanel, along with data warehouses and BI tools. • Deep understanding of product metrics including activation, engagement, retention, churn, experimentation, and funnel analysis. • Strong analytical and problem-solving skills with the ability to trace issues from dashboards through underlying systems and instrumentation. • Excellent communication skills and the ability to translate complex behavioral data into clear product recommendations. • Entrepreneurial mindset, strong ownership, and the ability to operate effectively in a fast-moving environment. • Extensive use of AI-assisted development and analysis to improve speed, depth, and quality of work.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development