Verity AG
Tech Lead
Zurich · ZH
- Berufsfeld
- Informatik
- Ausbildung
- Keine bestimmte Ausbildung
- Erfahrung
- Über 5 Jahre
- Sprachkenntnisse
- Englisch
- Lohn
- Geschätzt CHF 120’000–150’000 pro Jahr (100 %)
- Schätzung von jopp, nicht aus dem Inserat.
- Veröffentlicht am
- 19. September 2026
- Zuletzt gesehen
- 20. September 2026
Verity's AI-powered inventory tracking system delivers real-time, data-driven insights through our intuitive Dashboard, empowering clients to achieve a zero-error warehouse, reduce labor costs, and build more sustainable supply chains. The team focuses on turning drone-collected scan data into high-quality, actionable inventory insights (e.g. stock counts, discrepancy detection, trend analysis, recommendations) through a combination of machine vision, machine learning, AI, edge and cloud computing, and intuitive, data-rich frontend experiences. As Tech Lead, you'll guide and mentor a multidisciplinary group of talented engineers as they tackle complex challenges with innovative, effective solutions
What You'll Do
Partner with a Product Manager to lead a cross-functional team in delivering end-to-end solutions for inventory insight generation, from edge data collection to client-facing analytics
Manage, coach, and empower a high-performing team to enable consistent, sustainable, and high-quality delivery
Get close to clients and the problems they face, spending time on-site and on-calls to understand their needs, and translate ambiguous operational needs into problems that are technically tractable and genuinely valuable to solve
Actively contribute hands-on to technical work, particularly in designing and developing solutions that turn raw inventory data into actionable intelligence
Own the architecture and technical roadmap for your components, ensuring smooth integration with platform, infrastructure, and other engineering teams across Verity's hardware and software services
Champion a culture of ownership, continuous learning, and technical excellence, while leading by example in embodying and evolving our company culture
Your Experience
5+ years of experience leading cross-functional teams in the successful delivery of complex software as a service products with a strong artificial intelligence and computer/machine vision learning component. Ideally with prior exposure to logistics, warehouse operations, or supply chain domains
Strong hands-on experience in the disciplines and technologies relevant to the role, with practical proficiency in Python, C++, and AWS
Track record in people management, with a passion for mentoring, growing talent, and fostering a collaborative team environment
Deep understanding of agile practices and modern product development, with hands-on experience adopting modern technologies, such as AI tools, to improve the development lifecycle
Strong product mindset, with the ability to get close to client needs, scope problems for feasibility and impact, and ensure that what you ship measurably improves operations rather than just benchmark numbers
Excellent communication skills and fluency in English, both written and spoken, able to bridge the gap between technical and non-technical stakeholders
You are a reliable and dedicated team player, known for your proactive mindset, strong sense of urgency, and consistently positive attitude
You excel at building strong relationships in high-energy, fast-paced environments, combining natural curiosity with a strong sense of technical acumen
With a structured work style, comfort with ambiguity, and excellent communication skills, you thrive in dynamic, collaborative settings
A great engineering culture, including flat hierarchies, an open-door policy, and a focus on joint responsibility and mutual trust and support
Working with a skilled, high-achieving, experienced, and fun team—with lots of opportunities to develop your professional career and grow with the company
Flexibility of a hybrid work environment. You can arrange start and finish times around your life (picking up kids, walking the dog, training for your next marathon at lunch)
25 days of annual leave, employee stock ownership plan (conditions apply), variety of pension plans, and relocation packages
Top selection of modern AI tools, laptop and learning budget
We strive to create an inclusive environment that empowers our employees. All qualified applications will receive consideration for employment without regard to race, nationality, religion, sexual orientation, gender, age, physical [dis]ability, gender identity or length of time spent unemployed