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

voize GmbH

Berlin

Vor Ort

EUR 70.000 - 90.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

30 vacation days plus birthday off
Germany Transport Ticket
Urban Sports Club membership
Regular company off-sites
Learning platform access
Free language courses

Zusammenfassung

voize GmbH is seeking a Product Manager – ML in Berlin to lead the ML product roadmap for core speech and NLP capabilities. You will translate customer signals into actionable priorities and align various stakeholders to improve ML products.

The ideal candidate has proven experience in Product Management, particularly in ML, and excellent communication skills in English and German. The role offers competitive benefits and a dynamic startup environment.

Qualifikationen

  • Extensive experience in Product Management, preferably in ML-related fields.
  • Strong technical understanding of ML evaluation, training data, and release mechanisms.
  • Proven track record of shipping ML products with user impact.

Aufgaben

  • Own the ML product roadmap for speech and NLP.
  • Run structured customer feedback to inform ML improvements.
  • Define model evaluation framework for product releases.
  • Collaborate with Speech & NLP Leads on product improvements.
  • Improve integration of product analytics and ML data.
  • Own ML product KPIs and drive measurable improvements.

Kenntnisse

Product Management
Speech recognition
NLP
ML model evaluation frameworks
Technical fluency in ML
Communication in English
German (B2)

Jobbeschreibung

About voize

voize is dedicated to helping frontline workers by automating routine work through AI‑powered solutions. We focus on amplifying human impact rather than replacing humans with technology.

Your Mission: Turning Machine Learning capabilities into real user value

As Product Manager – ML, you sit at the core of our product, translating customer, Sales, and Customer Success signals into the ML product roadmap across markets. You define what “better” means for our models, align stakeholders on priorities, and drive a shipping cadence that turns ML capability into measurable user value.

Your Daily Business
  • 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, closing 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 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
  • Extensive experience in Product Management, with background in speech recognition, NLP, or LLM‑based product an advantage.
  • 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 is required to lead customer and end‑user conversations (roughly B2).
  • Open to relocators; role ideally based in Berlin with a hybrid set‑up.
Growing together – What you can expect at voize
  • Fast‑growing startup environment where you tackle challenges, grow quickly, and make a real impact, giving frontline workers more time for people.
  • Competitive stock option program.
  • Generous perks: 30 vacation days plus birthday off, Germany Transport Ticket, Urban Sports Club membership, regular company off‑sites, learning platform access (Blinkist, Audible), and free language courses.
  • Flexible working hours and a good hybrid set‑up, with dedicated remote working days within the EU.
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