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

voize; Berlin; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

30 vacation days plus birthday off

Germany Transport Ticket

Urban Sports Club membership

Access to learning platforms (Blinkist, Audible)

Free language courses

Job summary

voize is seeking a Product Manager - ML based in Berlin to define and own the ML product roadmap for speech and NLP. You'll translate customer feedback into actionable priorities, driving improvements and measurable user value.

The ideal candidate has extensive experience in Product Management, a strong technical background in ML, and is proficient in English and German. Join a fast-growing startup that offers flexible working hours, generous vacation days, and a competitive stock option program.

Qualifications

• Extensive experience in Product Management with a background in speech recognition or NLP.
• Strong technical fluency in ML evaluation and training data.
• Track record of shipping ML-powered products with measurable user impact.

Responsibilities

• Own the ML product roadmap for core speech and NLP.
• Run a structured customer-feedback ML loop.
• Define and maintain the model evaluation framework.

Skills

Product Management

Machine Learning

Speech Recognition

Natural Language Processing (NLP)

Communication in English

German (B2)

Job description

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 required to lead customer and end-user conversations (roughly B2)
• 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 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.