Staff Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Product Manager (AI/ML): Driving the maturity and scalability of machine learning capabilities to enhance the financial management experience for SMEs with an accent on the end-to-end ML product roadmap and the design of ML-driven features. Focus on building solutions for transaction categorization and cashflow management, collaborating with data scientists and engineers to translate complex ML concepts into measurable business value.
Location: Hybrid in Paris, Milan, Berlin, or Barcelona
Company
is a leading European finance workspace providing banking and financial tools for SMEs.
What you will do
- Own the ML product roadmap end-to-end, prioritizing strategies based on engineering, data science, and business insights.
- Lead the definition and design of ML solutions for products such as Attachment Matcher, Transaction Categorizer, and Cashflow Management.
- Collaborate with data scientists and engineers to implement ML capabilities that drive measurable business value.
- Communicate priorities and product rationale to stakeholders and executive teams.
- Analyze ML model performance to provide data-driven recommendations for improvement.
Requirements
- Proven product management experience with a focus on scaling ML or data products from 0 to 1.
- Technical fluency in machine learning concepts and their applications.
- Strong stakeholder management skills, capable of explaining technical concepts to non-technical audiences.
- Analytical mindset for making data-driven decisions and managing trade-offs.
- Ability to develop a strategic product vision aligned with company goals.
- Must be based in or able to work from Paris, Milan, Berlin, or Barcelona (Hybrid).
Culture & Benefits
- Work at the frontier of AI within the financial services domain.
- High degree of squad autonomy with minimal red tape and approval chains.
- Direct impact on how over 600,000 SMEs manage their finances.
- Unlimited access to top-tier AI tools for experimentation and productivity.
Hiring process
- The total hiring process lasts approximately 20 working days.
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