Lead Product Manager — ML-Driven Fintech
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-06-26
Listing for:
Cleo AI
Full Time
position Listed on 2026-06-26
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
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 ,
- Extensive product management experience, building highly technical products ,
- 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 ,
- Strong prioritisation skills with the ability to focus your team on impactful work ,
- Collaborative and inclusive leadership style with a track record of empowering cross-functional teams ,
- Ability to clearly communicate product decisions and trade-offs to stakeholders ,
- Creativity in approaching product challenges and rethinking how people manage their finances ,
- High energy and ownership mindset with a focus on driving measurable outcomes ,
- Passion for building tools that improve users’ financial lives through engaging, meaningful conversations
- 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 ,
- Leading the product strategy for Cleo’s product experiences ,
- Collaborating closely with ML engineers, data scientists and analysts to launch key new products with a global focus ,
- Defining and track success metrics related to customer engagement, retention, and financial well-being ,
- Prioritising high-impact opportunities and ruthlessly focus your squad on what matters most ,
- Translating complex data capabilities (e.g. LLMs and ML models) into intuitive user experiences ,
- Ensuring your squad is aligned and involved in product direction and key decisions ,
- Continuously iterating on the product based on user insights, data, and testing outcomes
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