{"id":91473,"url":"https://alion.io/job/nous-research-product-analytics-engineer","title":"Product Analytics Engineer","company":{"id":35054,"name":"Nous Research","domain":"nousresearch.com","url":"https://alion.io/company/nous-research","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","AR","BR","CA","MX","AG","AW","BS","BB","BZ","BM","BO","VG","BQ","KY","CL","CR","CW","DM","DO","EC","SV","FK","GF","GL","GD","GP","GT","GY","HT","HN","JM","MQ","MS","NI","PA","PY","PE","PR","KN"],"hiring_countries_total":48,"salary":null,"salary_estimate":{"min_usd":136000,"max_usd":303000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":3904},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"TypeScript","optional":false},{"name":"AI Agents","optional":true},{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-08-13T17:24:48Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-17T19:14:13Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"description":"The Role\nAs a Product Analytics Engineer at Nous Research, you'll own the measurement systems that help us understand how users interact with Hermes Agent. You'll build the analytics foundation across our products-from instrumentation and event pipelines to dashboards and experimentation-then use that data to identify opportunities to improve activation, engagement, retention, and long-term product success.\nYou'll partner closely with Product, Engineering, Design, Support, and Leadership to turn behavioral insights into concrete product improvements. This role is ideal for someone who enjoys building reliable analytics infrastructure while also using data to influence product strategy and execution.\nResponsibilities\nOwn product analytics end-to-end, from event design and instrumentation through data modeling, analysis, and product recommendations.\n\nDefine and maintain a consistent event taxonomy and shared metrics layer across Hermes Agent and Nous Portal.\n\nImplement and maintain analytics instrumentation across desktop, mobile, web, CLI, backend services, and third-party integrations.\n\nBuild reliable data pipelines, transformations, dashboards, and monitoring systems that make product behavior easy to understand and trust.\n\nAnalyze user funnels, cohorts, retention, behavioral paths, and churn to identify friction points and opportunities for improvement.\n\nSegment user behavior across platforms, acquisition channels, pricing plans, models, tools, and use cases to uncover actionable insights.\n\nDesign and evaluate experiments, measuring the impact of product changes on activation, engagement, retention, conversion, and revenue.\n\nPartner with Product, Engineering, Design, and Support to translate data into prioritized product improvements.\n\nCombine quantitative analysis with qualitative feedback from users, customer conversations, and direct product usage to develop a complete understanding of user behavior.\n\nBuild monitoring and alerting systems for key product metrics and proactively investigate anomalies.\n\nEstablish best practices for analytics instrumentation, documentation, data quality, and privacy-conscious telemetry.\n\nQualifications\n5+ years of experience in Product Analytics, Analytics Engineering, Data Engineering, or a similarly technical product role.\n\nExpert SQL skills and strong proficiency in Python, with experience working in production application codebases using TypeScript, JavaScript, or similar languages.\n\nHands-on experience implementing analytics instrumentation across client applications and backend systems.\n\nExperience with modern product analytics platforms such as PostHog, Amplitude, or Mixpanel, along with data warehouses and BI tools.\n\nDeep understanding of product metrics including activation, engagement, retention, churn, experimentation, and funnel analysis.\n\nStrong analytical and problem-solving skills with the ability to trace issues from dashboards through underlying systems and instrumentation.\n\nExcellent communication skills and the ability to translate complex behavioral data into clear product recommendations.\n\nEntrepreneurial mindset, strong ownership, and the ability to operate effectively in a fast-moving environment.\n\nExtensive use of AI-assisted development and analysis to improve speed, depth, and quality of work.\n\nNice-to-Have\nExperience working on AI products, LLM applications, AI agents, or developer tools.\n\nFamiliarity with agent workflows, tool calling, model routing, memory systems, and other modern AI application patterns.\n\nExperience measuring cross-platform products spanning desktop, mobile, web, CLI, and enterprise deployments.\n\nExperience with subscription or usage-based SaaS products, including conversion, credits, renewals, and monetization.\n\nExperience designing privacy-conscious telemetry and analytics systems for open-source or developer-focused products.\n\nExperience building analytics systems that support high-volume event streams and rapidly growing products.","description_format":"text","description_chars":3990,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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