Your Mission

To fuel this mission, we are looking for ambitious, enthusiastic and driven minds to help build the state-of-the-art software that pushes our innovation further.

As a 100% subsidiary of Mercedes-Benz AG, that has been perfecting the art of moving people, products and services from point A to point B, for more than 120 years. With an international team of over 650+ Employees, who value quality, creativity and believe in teamwork - we create passionate technology on exciting topics that include navigation, infotainment systems, location-based services, user experience and interaction.

Sneak preview of your future tasks

Owns Feature Delivery:

Owns the planning, execution, and delivery of Voice AI features across multiple product initiatives, ensuring achievement of quality, customer experience, and schedule objectives.

Manages Team Capability Development:

Manages workforce planning, coaching, recruitment, performance management, and capability development activities to build expertise in Voice AI, Generative AI, and modern software engineering practices.

Drives AI Feature Implementation:

Drives the implementation of AI and LLM-based capabilities within customer-facing products, ensuring technical feasibility, usability, maintainability, and business value.

Coordinates Cross-Functional Delivery:

Coordinates activities across Product Management, AI teams, Platform organizations, Architecture, and Engineering teams to manage dependencies and ensure successful feature delivery.

Governs Product Quality & Readiness:

Governs feature quality, release readiness, verification activities, and operational acceptance criteria to ensure successful product deployment.

Establishes Continuous Improvement & Innovation:

Establishes learning, experimentation, automation, and engineering improvement initiatives to strengthen Voice AI capabilities and improve delivery effectiveness.

Leadership:

Lead, motivate, and develop assigned employees through performance evaluations and, where appropriate, goal-setting agreements. Ensure targeted internal communication. Ensure employee- and task-specific training and development. Ensure that agreed-upon goals are achieved.Ensure compliance with all Group and site regulations and provisions applicable to the assigned area of responsibility (safety and environmental protection regulations, works agreements, guidelines, etc.) in accordance with applicable regulations and documentation. Inform assigned employees of the relevant provisions and instruct them to comply. Oversee and monitor proper implementation.

Occupational Safety and Environmental Protection:

Ensure compliance with safety and environmental protection requirements within the assigned area of responsibility. To this end, carry out, organize, and monitor the implementation of assigned safety and environmental protection tasks and responsibilities. Train subordinates; inform supervisors of any deficiencies or malfunctions.

Your Profile

Education

Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Technology, or a related technical discipline – Essential
Master's degree in Artificial Intelligence, Computer Science, Software Engineering, Engineering, or Business Administration – Desirable

Experience

8+ years of experience in software development, AI-enabled applications, digital products, voice technologies, or software engineering environments – Essential
3+ years of leadership experience managing software engineering or product development teams – Essential
Demonstrated delivery of customer-facing software features from concept through production, achieving quality, usability, and delivery objectives – Essential
Experience coordinating development across multiple stakeholders, teams, and technical domains – Essential
Experience implementing AI, Generative AI, or Large Language Model (LLM)-based capabilities within software products – Essential
Experience operating in global product development environments with distributed stakeholders and teams – Desirable
Experience in automotive software, infotainment systems, conversational systems, or connected services – Desirable

Specific Knowledge

Strong understanding of Large Language Models (LLMs), Generative AI, prompt engineering concepts, and conversational AI technologies – Essential
Strong knowledge of software product development and customer-focused feature delivery practices – Essential
Knowledge of voice assistant technologies, conversational user interfaces, and speech-enabled customer experiences – Essential
Working knowledge of AI service integration, cloud-based AI platforms, and API-driven architectures – Essential
Knowledge of Agile product development, DevOps practices, and CI/CD (Continuous Integration / Continuous Delivery) approaches – Essential
Understanding of automotive infotainment systems and Mercedes Voice Assistant ecosystems – Desirable

Requirements:

Current position as Lead/E4 or passed panel

Why us?

A chance to work on a new generation of Infotainment Systems, which will power millions of cars
An international, interdisciplinary innovation lab, which is part of the Mercedes Benz AG
Agile working methods and open feedback culture
In our close collaboration with Inklupreneur we support people with disabilities and welcome everyone
A brand new, modern, and barrier-free office building (Berlin Headquarter)
Flexible working hours
Mobility Budget, Healthcare Budget & more benefits

Interested?

Job title and reference number
Salary expectations
Earliest start date

We would like to encourage people with health impairments to apply to our jobs! Our building and workplaces offer the possibilities to adjust to different employee requirements.