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Lead Product Manager — ML-Driven Fintech

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Cleo AI
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
Job Description & How to Apply Below
Position: Lead Product Manager — ML-Driven Fintech Growth

Requirements

  • If you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit
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  • Extensive product management experience, building highly technical products
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  • Experience working with machine learning modelling, Credit Risk or data science-driven features
  • ,
  • Proficiency in systems thinking - you will be able to work directly with developers and tech leads on a daily basis
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  • Strong prioritisation skills with the ability to focus your team on impactful work
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  • Collaborative and inclusive leadership style with a track record of empowering cross-functional teams
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  • Ability to clearly communicate product decisions and trade-offs to stakeholders
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  • Creativity in approaching product challenges and rethinking how people manage their finances
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  • High energy and ownership mindset with a focus on driving measurable outcomes
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  • Passion for building tools that improve users’ financial lives through engaging, meaningful conversations
What the job involves
  • We are hiring for multiple Product roles across a few of our key pillars, you will be very familiar with systems thinking and how technical decisions can impact the users directly
  • ,
  • As a Lead Product Manager, you'll work closely with a cross-functional squad of engineers, designers, data scientists, analysts and writers on an area focused around building our understanding of user data
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  • Leading the product strategy for Cleo’s product experiences
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  • Collaborating closely with ML engineers, data scientists and analysts to launch key new products with a global focus
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  • Defining and track success metrics related to customer engagement, retention, and financial well-being
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  • Prioritising high-impact opportunities and ruthlessly focus your squad on what matters most
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  • Translating complex data capabilities (e.g. LLMs and ML models) into intuitive user experiences
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  • Ensuring your squad is aligned and involved in product direction and key decisions
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  • Continuously iterating on the product based on user insights, data, and testing outcomes
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