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aspaara AG

Product Manager (AI B2B SaaS)

aspaara AG
Switzerland · Full-time · Associate

About the Company


We are a fast-growing B2B SaaS company building an AI-driven platform to transform automotive aftersales operations.


Our product helps bodyshops, dealer groups, and multi-site operators optimize workflows, improve efficiency, and make better decisions through data. Using digital twin technology and real-time optimization, we uncover operational improvements that are often hidden in day-to-day processes.


Our customers include workshops, dealer groups, and internationally active multi-shop operators. With customers across multiple European markets and strong early traction, we are now scaling both our product and commercial teams.


Do you want to help shape our award-winning artificial intelligence of tomorrow, which is already improving the working lives of thousands of people across eight European countries today? Become an integral part of our established yet dynamic startup team.


Why We’re Hiring


We have achieved strong product-market fit and are seeing increasing demand from multi-site automotive operators. As we scale, we are looking for a Product Manager to take ownership of key product areas, translate customer needs into scalable solutions, and drive the next phase of product development.


The Role


As a Product Manager, you are the central interface between customers and product development. With your understanding of complex operational environments, technical knowledge, and data expertise, you shape products that deliver real value.


Tasks

What You’ll Do




  • Translate customer needs into scalable, data-driven product solutions




  • Define and execute product strategy and roadmap aligned with company goals




  • Conduct customer interviews, discovery processes, and validate hypotheses




  • Analyse product and process data (SQL, Python) to drive decisions




  • Define and prioritise features using frameworks (e.g. RICE)




  • Work closely with engineering teams, including integration of ML models




  • Build and monitor dashboards to track product performance (KPIs, usage, efficiency)




  • Lead product launches, testing cycles, and feedback loops with customers




  • Translate machine learning outputs into practical, user-facing features




Requirements

What You Bring


Must-haves:



  • 3+ years experience in Product Management, Data Product Owner, or technical consultant

  • Practical knowledge of Python for analysing product and process data

  • Experience with BI / analytics tools (e.g. Metabase, Power BI, Looker, Jupyter or similar)

  • Familiarity with SaaS products, their metrics, and customer-relevant KPIs (e.g. activation rate, retention, NPS)

  • Strong communication skills and able to bridge business, tech, and customers

  • Experience in product strategy development and roadmap management


Benefits

What We Offer



  • Flexible compensation models, including employee stock ownership plans, allowing you to participate in the long-term success of our company

  • The opportunity to work with cutting-edge, AI-based technology that is shaping the future of work

  • A dynamic and dedicated team in a rapidly growing SaaS environment

  • Diverse development opportunities and ample room for personal responsibility

  • A climate-neutral, values-based work environment that prioritises equal opportunities and sustainability

  • The opportunity to work on established products that are already improving the working lives of thousands and to contribute your own ideas to make them even better


If you enjoy working at the intersection of customers, data, and product, and want to contribute to building impactful solutions in a growing SaaS environment, we’d love to hear from you.

Key Skills

Ranked by relevance

saas product manager python ai artificial intelligence machine learning product owner power bi looker sql
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Posted
Apr 07, 2026
Type
Full-time
Level
Associate
Location
Zurich
Company
aspaara AG

Industries

IT Services IT Consulting

Categories

Product Management

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