Work in product logo - advance your product management career
Zego logo
Zego · AI Products, FinTech

Lead AI Product Manager (United Kingdom / Portugal)

NewhybridLeadLondon, England, United KingdomFinTechAI/MLInsurance

Our Take

Lead AI product strategy at Zego's gig insurance platform.

What they’re looking for

  • 5+ years product management experience
  • 2+ years leading AI/ML product initiatives
  • Insurance or regulated FinTech background
  • Team leadership and mentoring
  • LLM and AI products experience

As posted by Zego

The role

  • You own the AI product strategy and roadmap — from identifying use cases that solve real pain points for gig workers to shipping features that drive adoption and retention.
  • You work cross-functionally with engineering, design, and data to translate AI capabilities into product experiences that scale across UK and Portugal markets.
  • You lead a small team of product managers, mentoring them on AI product thinking and supporting their execution on core pillars.

What they are looking for

  • 5+ years of product management experience, with at least 2 years leading AI/ML product initiatives or working hands-on with LLM-powered features.
  • Deep understanding of insurance, financial services, or regulated B2C/B2B2C products — you've shipped compliant products before.
  • Proven track record managing teams, owning strategy, and influencing cross-functional partners without formal authority when needed.
  • Comfort working in regulated environments and understanding the constraints AI faces in FinTech.

What is in it for you

  • Hybrid flexibility: split time between UK and Portugal offices, remote-friendly culture.
  • Equity package as part of competitive compensation.
  • Lead a high-impact team solving real problems for vulnerable workers in the gig economy.
  • Access to early-stage AI tooling and a product team experimenting with emerging LLM applications.

Skills & Focus Areas

  • roadmapping
  • stakeholder management
  • AI/ML product strategy
  • A/B testing
  • data analysis
  • user research

Languages

English