Senior Product Manager - Machine Learning
voize
Seniority
Senior
Model
Hybrid
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
As Product Manager - ML, you'll sit at the core of the product, translating customer, Sales, and Customer Success signal into the ML product roadmap across markets - defining what "better" means for models, aligning stakeholders on priorities, and driving a shipping cadence that turns ML capability into measurable user value.
What you'll do
- Own the ML product roadmap for core speech and NLP across 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
- 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 to close gaps between what you want to achieve and what you can measure in production
- Own ML product KPIs (no-edit rate, documentation rate, edit rate per slot, transcription accuracy) and drive measurable improvements
What you'll need
- Extensive experience in Product Management, with background in speech recognition, NLP, or LLM-based product a plus
- Strong technical fluency in ML: evaluation, training data, latency/quality trade-offs, and release mechanics
- 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 required to lead customer and end-user conversations (roughly B2)
- Based in Berlin working in a hybrid set-up (open to relocators)
What they offer
- Competitive stock option program
- 30 vacation days plus birthday off, Germany Transport Ticket, Urban Sports Club
- Access to learning platforms such as Blinkist and Audible, plus free language courses
- Flexible working hours and good hybrid set-up with dedicated remote working days within the EU
- Regular company off-sites

