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

voizeBerlinProduct
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
6 Oct 2026
Status
Open · checked 7d ago

About this role

Based in Berlin with a hybrid working setup, the Senior Product Manager - Machine Learning role at voize involves shaping the machine learning product roadmap and turning advanced technology into tangible value for frontline workers. This position suits an experienced product professional with a strong technical understanding of machine learning and a background in speech or language technologies.

Role Overview

The Senior Product Manager - Machine Learning sits at the core of the product team at voize. The person in this role translates customer, sales, and customer success signals into a clear product roadmap for core speech and natural language processing across multiple markets.

Key Responsibilities

Own the machine learning product roadmap for core speech and natural language processing across markets by converting field signals into priorities.
Manage a structured customer feedback loop with sales, customer support, and customer success through direct customer conversations.
Define and maintain the model evaluation framework that gates releases, including metrics, data slices, thresholds, and regression bars.
Partner with speech and natural language processing leads to ship improvements into production.
Improve product analytics and machine learning data integration to connect goals, production measurements, and training data.
Own machine learning product key performance indicators such as no-edit rate, documentation rate, edit rate per slot, and transcription accuracy.

Requirements

Extensive background in product management, with a preference for experience in speech recognition, natural language processing, or large language model-based products.
Strong technical fluency in machine learning concepts including evaluation, training data, latency and quality trade-offs, and release mechanics.
Demonstrated history of shipping machine learning-powered products to production with measurable user impact.
Practical experience in designing and operationalizing machine learning model evaluation frameworks.
Fluent in English, with German language proficiency required at approximately B2 level for customer and end-user interactions.

Skills and Tools

Speech Recognition
Natural Language Processing (NLP)
LLM-based Products
ML Model Evaluation Frameworks
Product Analytics
Machine Learning Data Integration

Salary and Benefits

Competitive stock option program
Thirty vacation days plus the employee's birthday off
Germany Transport Ticket and Urban Sports Club membership
Regular company off-sites
Access to learning platforms like Blinkist and Audible, along with free language courses
Flexible working hours with a hybrid setup and dedicated remote working days within the European Union

About the Company

voize builds artificial intelligence companions designed to take over digital workflows and reduce administrative burdens for frontline workers. The company is backed by $50M in Series A funding led by Balderton Capital, with participation from HV Capital, Y Combinator, and other leading venture capitalists. Over 2,000 facilities and 200,000 users rely on the technology to ease daily workloads.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

Where is the job located?

The role is ideally based in Berlin with a hybrid setup, and the company is open to relocators.

What language skills are required?

Excellent communication in English is required, along with German at roughly B2 level to lead customer and end-user conversations.

What kind of experience is needed for this position?

The candidate needs extensive experience in product management, a track record of shipping machine learning products to production, and a strong technical fluency in machine learning evaluation, training data, and release mechanics.

What are the working arrangements?

The position offers a hybrid setup with flexible working hours and dedicated remote working days within the European Union.

What benefits are provided?

Benefits include a stock option program, thirty days of vacation plus a birthday off, a Germany Transport Ticket, an Urban Sports Club membership, regular off-sites, learning platform access, free language courses, and flexible hours.

Ready to apply?

The application is on the official voize careers page.

Apply on company site