Synced from Ashby · Jun 15

Senior Product Manager - Machine Learning

voizeBerlinPosted Jun 15, 2026
AI Product ManagerHybridSenior
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Mirrored from voize's own Ashby careers system · refreshed hourly

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Jun 15
Posted
Ashby
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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!

đź’ˇ 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 recognition, NLP, or LLM-based product is a plus.

  • Strong technical fluency in ML: evaluation, training data, latency/quality trade-offs, and release mechanics (you don’t need to train models, but you do need to deeply understand them)

  • Track record of shipping ML-powered products to production with measurable user impact

  • Hands-on experience designing and operationalizing ML model evaluation frameworks

  • Excellent communication in English; German is a plus

  • We are open to relocators, but this role is ideally based in Berlin and you’ll work in a hybrid set-up.

🌱 Growing together - what you can expect at voize

  • We are a fast-growing startup, that means you will tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people

  • Become a co-creator of our success with a competitive s stock option program

  • Generous perks: 30 vacation days plus your birthday off, Germany Transport Ticket, Urban Sports Club, regular company off-sites, and access to learning platforms such as Blinkist and Audible, plus free language courses

  • You decide when you work best, that means flexible working hours and a good hybrid set-up, plus dedicated remote working days within the EU.

✨ Ready to talk? Apply now! 🚀

We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!

View original posting on Ashby

What applying to voize usually looks like

Based on publicly available information, candidates applying through ashby for roles at voize can typically expect an online application involving a resume submission and possibly some short screening questions tailored to the role, whether technical, commercial, or operational. The process may include multiple stages, such as an initial recruiter or hiring manager conversation, followed by skills-based or role-specific assessments, and conversations with cross-functional team members. Ashby-based processes commonly provide applicants with status updates through an online portal or email, though response times vary by company and role volume. Candidates may also be asked to complete take-home exercises or case studies depending on the position. Communication style and level of detail at each stage can vary, so candidates should generally prepare materials that clearly demonstrate relevant experience and skills aligned with the specific job posting.

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Senior Product Manager - Machine Learning
voize · Berlin
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