20 beste Stellen als python in dintikon ag – aktuell auf Personalsuche

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aspaara AG —Zürich, ZH
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Direkt bewerben
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Product Manager (AI B2B SaaS)

aspaara AG
Zürich, ZH

Direkt bewerben

Details zur Stelle

Qualifikationen

Power BI
Management-Erfahrung
SQL
SaaS
Kommunikationsfähigkeit
Python
Deutsch

Vollständige Stellenbeschreibung

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. In practice, this means helping workshops plan work more accurately, assign jobs to the right people, and predict when work will be completed.

At the core of our platform is our AI: machine learning models and optimization algorithms that power intelligent predictions and decisions in complex operational environments.

With customers across multiple European markets and strong early traction, we are now looking to hire a Product Manager to build on and further develop our core product and data-driven capabilities.

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.

The Role

As a Product Manager, you are the central interface between customers and product development. With your understanding of complex operational environments, technical awareness, and data-driven mindset, you identify what matters most, prioritise effectively, and shape product improvements 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 to inform product decisions and prioritisation
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
Comfort working with product and process data (e.g. SQL, Python)
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
Fluency in German is required

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.

Direkt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als python in dintikon ag erhalten

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