Engineering Manager (m/f/d) at voize (W22)
€85K - €120K EUR  •  
App for healthcare workers to fill out forms using speech
Berlin / Remote (DE)
Full-time
3+ years
About voize

At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.

voize is YCombinator-funded, already in use at over 600 senior care homes, and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.

As a dynamic team, we blend cutting-edge technology with social impact. And now, it’s your turn to join us!

Note: We can only hire team members who already live in Germany.

About the role
Skills: Kotlin

🎤 Why voize? Because we’re more than just a job!

At voize, we’re revolutionizing the healthcare industry with AI: Nurses simply speak their documentation into their smartphones, and our AI automatically generates the correct entries. This saves each nurse an average of 39 minutes per day, improves the quality of documentation, and makes their daily work much more rewarding.

Voize is YCombinator-funded, already in use at over 600 senior care homes , and has grown by 100% in the last 90 days. Our customers save over 3.5 million hours annually – time spent on people instead of paperwork.

But this is just the beginning. With our self-developed voize AI, we’re transforming not only the healthcare industry, but also have the potential to create value in many other sectors – from healthcare to inspections.

As a dynamic team, we blend cutting-edge technology with social impact. And now, it’s your turn to join us!

💡 Your Mission:

As an Engineering Manager (m/f/d) your mission is to empower your team to build high-quality, scalable, and reliable software while ensuring timely delivery. You will provide technical and strategic leadership, fostering a culture of innovation, collaboration, and continuous improvement. By optimizing processes, enhancing team structure, and refining engineering rituals, you will create an environment where engineers can thrive, grow, and deliver impactful solutions.

🚀 Your Daily Business – No two days are alike

  • Hire, mentor, and develop a high-performing engineering team.
    Build and scale a strong, motivated team by attracting top talent, providing ongoing coaching, and fostering a growth-oriented mindset.

  • Foster an inclusive, high-trust culture and support career growth.
    Create an environment where engineers feel valued, empowered, and psychologically safe, while providing structured career development opportunities.

  • Align technical direction with product and company strategy.
    Work closely with leadership to ensure engineering priorities drive business success, balancing innovation with technical feasibility.

  • Ensure high-quality, scalable, and reliable software delivery.
    Implement best practices for testing, architecture, and code quality to maintain system performance, security, and scalability.

  • Optimize developer experience, tooling, and workflows.
    Continuously improve engineering processes, CI/CD pipelines, and development tools to maximize efficiency and reduce friction.

  • Oversee project execution, meeting deadlines and business impact goals.
    Drive project planning, ensure timely delivery, and proactively address risks to keep teams aligned and focused on key objectives.

  • Collaborate closely with ML, Product, Data, and Research teams.
    Bridge the gap between engineering and other disciplines, ensuring seamless communication and alignment on technical and business needs.

🤝 Your Skillset – What you bring to the table

  • Proven experience as an Engineering Manager or in a similar leadership role, with at least 2 years of experience managing high-performing technical teams

  • Strong technical background with expertise in software development, system architecture, and best practices

  • Experience working in a startup environment at a similar growth stage

  • Experience with agile methodologies, project management, and delivery processes

  • Excellent communication and interpersonal skills , with the ability to build strong relationships across teams and stakeholders

  • Ability to drive technical strategy and align it with business goals

  • Hands-on experience with modern development tools, CI/CD pipelines, and optimizing developer workflows

  • A passion for mentoring , coaching, and developing talent in a fast-paced, dynamic environment

  • Experience in working with cross-functional teams , including Product, Data, ML, and Research

  • Strong problem-solving abilities and the capacity to identify and mitigate risks proactively

  • Fluent in German (C1) and English (C1) to effectively engage with our teams

🌱 Growing together – what you can expect at voize

  • Become a co-creator of our success with virtual stock options

  • Our office is in Berlin, and we offer remote work

  • We provide flexible working hours because you know best when you work most efficiently!

  • Access to various learning platforms (e.g., Blinkist, Audible, etc.)

  • We have an open culture and organize regular work weeks and team events to collaborate and bond

  • We are a fast-growing startup, so you'll encounter various challenges, providing the perfect foundation for rapid personal growth

  • Your work will make a real impact, helping alleviate the workload for healthcare professionals

  • Free Germany Ticket and Urban Sports Club membership

  • 30 days of vacation – plus your birthday off

Ready to talk? Apply now! 🚀

We look forward to your application and can’t wait to meet you – no matter who you are or what background you have!

Technology

Tech Stack App: Kotlin Multi-Platform, Jetpack Compose ML: PyTorch, Python Microservices: Kotlin, K8S, MongoDB

Challenges We run our ASR/NLP models locally on smartphones. Models need to be resource-efficient yet really accurate. With every user interaction data is generated and used for model improvements. This data needs to be processed continuously, automatically quality-assured and used for new model training.

We deploy into production on average every 6h and release updated machine learning models several times a week.

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