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Founding Product Builder

Lonio·Zürich, Switzerland·27.01.2025

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Festanstellung80–100%
Job written in
English
Location
Zürich, Switzerland
Work type
On-site

 

The role of Founding Product Builder is pivotal in the development of Lonio, an AI-native backoffice outsourcing service focused on finance and HR. The company, a spin-off from BLP Digital, aims to leverage AI not just as a product feature but as a core component of its service, enabling faster and more efficient execution compared to traditional methods. The main day-to-day responsibilities include translating complex Swiss HR and payroll compliance logic into detailed specifications for engineers. This involves owning the product roadmap for compliance AI automation workflows and collaborating closely with the engineering team to scope work, sequence tasks, and identify potential issues before they become technical debt. Additionally, the role requires participating in customer conversations to refine the roadmap, although it is not a go-to-market (GTM) position. To excel in this role, candidates must have a strong understanding of what AI agents can and cannot do reliably today. They should be able to write precise specifications that engineers can build from without needing to guess at edge cases. Strong product fundamentals, including prioritization and turning ambiguity into a plan, are essential. The ability to learn quickly in a regulated domain and take ownership of all aspects of the job, including undefined parts, is crucial. Candidates should care more about outcomes than titles and be comfortable working closely with engineers daily. Nice-to-have skills include fluency in German and comfort with Swiss B2B customers, such as CFOs, Treuhand firms, and payroll specialists, as the role may involve visiting them occasionally. The team is flexible on titles, backgrounds, and compensation structures, encouraging applications from those who might not fit a predefined model but have the right trajectory and skills. What the role asks for: - Understanding of AI agents' capabilities and limitations. - Ability to write precise specifications for engineers. - Strong product fundamentals, including prioritization. - Quick learning in a regulated domain. - Ownership of all job aspects, including undefined parts. - Comfort working closely with engineers daily. - German fluency and comfort with Swiss B2B customers (nice-to-have).

 

 

 

 

 

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