Senior Product Manager - Machine Learning (m/f/d)

Job description

🎤 Why voize? Because we’re more than just a job! At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present. Today, that time is lost to busywork and complex systems that pull them away from what matters most: people . Our vision is to change that by building AI companions that seamlessly take over digital workflows. We don’t replace humans with technology - we amplify their impact. Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs. Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload. As a dynamic team, we combine first-in-class technology with meaningful social impact. And now, we’re looking for you to join us on this mission! 💡 Your Mission: Turning Machine Learning capabilities into real user value voize is more than a scribe and far more than another documentation tool! We're defining & setting the benchmark what AI in healthcare actually looks like. As Product Manager - ML , you’ll sit at the core of our product, you’ll translate customer, Sales, and Customer Success signal into the ML product roadmap across our markets - defining what “better” means for our models, aligning stakeholders on priorities, and driving a shipping cadence that turns ML capability into measurable user value. 🚀 Your Daily Business - No two days are alike Own the ML product roadmap for core speech and NLP across our markets, turning field signal into clear priorities Run a structured customer-feedback → ML loop with Sales, Customer Support and Customer Success, and direct customer conversations (and close the loop back to the field) Define and maintain the model evaluation framework that gates releases (metrics, slices, thresholds, regression bar) Partner closely with Speech & NLP Leads as your roadmap counterparts to ship improvements to production Improve the product analytics and ML data integration: close the gaps between what we want to achieve, what we can measure in production, and what we train our models on. Own ML product KPIs (e.g., no-edit rate, documentation rate, edit rate per slot, transcription accuracy) and drive measurable improvements. 🤝 Your Skillset - What you bring to the table Extensive Experience in Product Management, background in speech recognitio…