ABOUT US

Make a Real Difference

At Prewave, we are dedicated to making a positive impact on the world. Our innovative AI solutions help businesses identify and predict global supply chain risks. Our aim is to make supply chains more resilient, transparent and sustainable. By doing this we help companies to ensure fair working conditions, eliminate child labour, reduce waste and promote sustainable practices across global supply chains.

Trusted by Global Industry Leaders

Prewave proudly partners with industry leaders such as BMW, Kärcher, Hilti, PwC, and Porsche. Our supply chain superintelligence helps navigate complex supply chain challenges, ensuring operational integrity and enhancing market leadership.

We are looking for a Technical Lead (f/m/d) who will lead a software engineering team, driving innovation for the solutions within our Data Science Department. Your main tasks will be:

• Plan & Design – Define and scope new features, identify project requirements, and create clear roadmaps and timelines.

• Innovate & Improve – Take initiative to enhance our frameworks, optimize processes, and develop new features.

• Inspire & Support – Guide and mentor a team of developers, delegate tasks effectively, and ensure project milestones are met.

• Onboard & Train – Help new team members get up to speed with our tools, frameworks, and best practices.

• Communicate & Collaborate – Foster open communication within the team, addressing challenges, setbacks, and achievements transparently.

Must-haves:

• Master’s degree or equivalent in Computer Science or related fields

• 5+ years of experience in a similar role

• Experience in working with Scala or other JVM languages, SQL and databases

• Demonstrated leadership skills, experience in team management

• Excellent communication, motivational and interpersonal skills

• Professional fluency in English, both written and spoken

• Living in Austria, or being available for occasional office travels

Bonus points for:

• Experience in how to work in a cloud based environment

• Experience with Data Science (Models, NLP, LLMs, …)

What You Can Expect:

• Competitive Compensation and Benefits: We recognize and reward talent. You'll receive a competitive compensation package of minimum EUR 3,175 gross monthly based on collective agreement, the actual compensation being tailored to your qualifications, experience, and the role.

• Inclusive and Supportive Work Environment: Join a dynamic team in a welcoming and inclusive atmosphere. We celebrate diversity and are committed to fostering a workplace where all backgrounds, identities, and experiences are valued. Your voice is important here.
  
  

• Work-Life Balance: Your well-being matters. Enjoy flexible working hours and options for working from home to promote a healthy balance between your professional and personal life.

What our employees love:

• Celebrate Your Birthday: Enjoy an extra vacation day to make your birthday special.

• Office Snacks and Fruits: Stay energised with a variety of snacks and fresh fruits available in the office.

• Engaging Team Events: Join us for cheese tastings, Ping-pong tournaments, company dinners, seasonal celebrations, and more to foster a vibrant team spirit.

• Health and Wellness Initiatives: Participate in team sports through our partnership with Eversports, support your mental well-being with guidance from our workplace psychologist, and benefit from health initiatives such as shiatsu sessions, vaccinations and regular health check-ups to prioritise your physical and mental well-being.

• Your device of choice: whether it's Windows, MacOS or Linux, we'll let you choose your preferred operating system.

• Training and Development: We believe in investing in our employee’s growth. Besides company-wide German- and soft skills training, each team member is encouraged to discuss their professional development ideas with their manager.

Join Prewave and be part of a passionate team committed to building a future where businesses can thrive alongside ethical and sustainable practices and track ESG (environmental, social, and governance) risks in their supply chains.