Senior Product Manager - Machine Learning (m/f/d)
Primary stack
Job description
About the Position
Senior Product Manager - Machine Learning (m/f/d)
Location
Berlin, Germany
Employment Type
Full time
Work Location Type
Hybrid
Department
Product
About the Company
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!
Responsibilities
- 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.
Requirements
- 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 Offer
- 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 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 Join Us?
We look forward to your application and can’t wait to meet you - no matter who you are or what background you have!
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