We are looking for an experienced Product Manager to join our team on a part-time basis starting around September. You will take ownership of our product pipeline across three verticals — internal dashboards, external partner and client tools, and our iOS/Android apps — ensuring we build the right things in the right order.
Day-to-day, you will run sprint planning, manage and prioritize the backlog, and coordinate closely with engineering to translate business needs into clear, actionable requirements. You will be the connective tissue between product vision and execution, keeping our roadmap moving and our teams aligned.
- Proven experience in product management, ideally in a tech or SaaS environment
- Strong ability to structure and communicate technical requirements
- Experience with sprint planning, backlog management, and development coordination
- Comfortable working across multiple product verticals simultaneously
- Able to collaborate closely with engineering teams and bridge technical and business perspectives
- Fluent in English (required), German is a strong plus
- Start: September 2026
- Workload: Part-time, max. 2 days/week
- Location: Fully remote
- Compensation: from CHF 40/hour, depending on qualifications and experience
Skills Required
- Proven experience in product management
- Experience in a tech or SaaS environment
- Ability to structure and communicate technical requirements
- Experience with sprint planning, backlog management, and development coordination
- Comfortable working across multiple product verticals simultaneously
- Ability to collaborate closely with engineering and bridge technical and business perspectives
- Fluent in English
- German language skills
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
