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.

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

At voize, we are revolutionizing care documentation with AI: Care workers simply speak their notes into their smartphone, and our AI automatically generates structured documentation entries. This saves each care professional an average of 39 minutes per day —time they can spend on people instead of paperwork.

voize is Y Combinator-funded, used in over 600 care facilities , and has grown 100% in the last 90 days. Our customers save over 3.5 million hours annually, making a real impact in the healthcare industry.

But this is just the beginning. With our proprietary voize AI, we are not only transforming the care sector but have the potential to revolutionize multiple industries—from healthcare to inspections.

As a dynamic team, we combine cutting-edge technology with social impact.

💡 Your Mission: Build an exceptional customer experience that drives success

As Head of Customer Success & Support , your mission is to ensure that every interaction with voize creates a meaningful, positive experience for our customers. You will focus on building long-term relationships and a customer-first strategy, helping them achieve their goals by unlocking the full potential of voize. By creating a culture of success and collaboration, you will make sure that voize delivers more than just a product—it will deliver an experience that empowers customers to thrive.

If you're passionate about creating remarkable customer experiences , leading high-performing teams, and ensuring AI-driven workflows drive success at scale, this role is for you!

🚀 Your Daily Business – No two days are alike

• Lead and scale the Customer Success team – build and nurture a high-performing, customer-centric team focused on delivering outstanding experiences

• Drive customer success and adoption – use a data-driven approach to understand customer needs, help them get the most value from voize, and enhance their overall experience

• Create a customer-centric strategy – proactively design initiatives and frameworks that ensure a smooth customer journey and drive long-term satisfaction

• Develop customer health scoring systems – use data and customer feedback to anticipate needs, identify risks, and seize opportunities for further success

• Be the voice of the customer – ensure that insights from customers shape product development, making voize even better and more impactful

• Foster continuous improvement – work closely with leadership and cross-functional teams to refine processes and evolve the customer experience

🤝 Your Skillset – What you bring to the table

• Substantial leadership experience in B2B SaaS Customer Success, ideally with workflow-heavy products and enterprise customers

• Experience building customer-first teams that focus on the full customer lifecycle and creating meaningful, high-impact relationships

• Proven track record in driving customer success – using data, feedback, and strategies to increase satisfaction, loyalty, and retention

• Strong analytical and strategic mindset – you know how to track success, measure customer outcomes, and turn insights into action

• Exceptional collaboration skills – you can work effectively across Product, Sales, and Engineering teams to ensure customer needs are at the forefront of decision-making

• Experience mentoring and developing teams , helping them grow professionally while staying focused on delivering exceptional experiences

• Fluent in German and proficient in English (C1)

• Hybrid office life fits you – this role requires you to be in Berlin 2 days a week

🎯 Our Success Mindset – How we work at voize

• You have a customer-first mindset , always thinking about how to make every customer interaction exceptional

• You are data-driven and strategic , using insights to guide decisions and build scalable solutions for customer success

• You value open communication and collaboration , ensuring customer feedback is shared across the company and influences product evolution

• You thrive in a fast-moving startup environment , taking ownership and making an impact with a hands-on approach

🌱 Growing together – what you can expect at voize

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

• Our office is in Berlin, with remote work options

• Flexible working hours – because we trust you to know when you work best

• Access to learning platforms like Blinkist, Audible, and more

• Regular work weeks and team events to foster collaboration and team spirit

• We are a fast-growing startup, providing excellent opportunities for rapid personal growth

• Your work will make a real impact , helping to 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!

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.