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MEDvidi, Inc. ищет специалиста по Product Analytics, который возьмет на себя полный стек аналитики для AI и обычных функций продукта.
Ваша задача — проектировать эксперименты, анализировать конверсии и поведение пользователей, работать с логами и транскриптами, выявлять паттерны и оценивать влияние автоматизации на клинические процессы. Ваша работа будет тесно связана с командами Product, Engineering, Clinical и Legal, и предполагает удаленную работу с возможностью CET-синхронности.
At MEDvidi, the Automation team builds and operates a mix of AI and conventional product features that automate clinical and operational workflows - from AI-drafted medical documentation to automated resolution of patient issues, intake verification flows, provider tooling, and the backend pipelines behind them. We free clinicians and operations from manual work a machine can do reliably and safely, in a domain where mistakes have real clinical and compliance consequences. It's a full-stack product team, not an AI lab: we ship UI, backend workflows, integrations, and AI features side by side, and we measure them the same way.
Own the full product analytics stack for features the team ships - discovery and sizing, experiment design and analysis, funnel and adoption analysis, post-release impact assessment - across both AI-powered and conventional product features. Analyze production behavior of AI and automation workflows across clinical and operational journeys. Investigate hallucinations, silent failures, and quality degradation in AI-generated output. Work directly with logs, transcripts, generated artifacts, and operational data to find patterns dashboards miss. Design evaluations for AI quality - both automated and human review - and close the loop into prompt and product changes. Build monitoring and dashboards for AI and automation health, and the operational metrics they roll up to. Measure business and operational impact of automation initiatives and surface the risks they introduce. Partner closely with Product, Engineering, Clinical, MedOps, and Legal to support fast decisions under ambiguity.