AI Product Manager

Overview

As an AI Product Manager at Zopa, you will own end-to-end customer problems on our AI Banking platform and shape the experience end-to-end. You’ll work between product and engineering to prototype, build and ship AI-powered customer experiences. You’ll design evals, balance cost and latency, and learn from real interactions to drive impactful improvements in a heavily regulated environment. This role combines hands-on creation with strategic product thinking in a fast, autonomous team.

Pay / Benefits

• hybrid work model
• London office 2-3 days a week
• option to work from abroad up to 120 days a year
• flexible working arrangements
• work-life balance
• diversity & inclusion initiatives

Responsibilities

• Own customer problems end-to-end: identify opportunity, decide what should exist, build, ship and learn
• Prototype ideas directly rather than drafting external documents
• Create full customer experiences on the agentic platform via prompts, tools, and configuration
• Design evals to define success and guide releases
• Contribute code: raise PRs and collaborate with engineers on deeper work
• Shape production performance: manage context, cost per conversation, latency, model choice and routing
• Review real conversations and turn insights into improvements quickly
• Lead analysis and research: interrogate data, transcripts, and derive decisions
• Assess risk and compliance considerations with Risk and Compliance partners

Key requirements

• Builder mindset with demonstrated shipped AI-powered customer experiences
• Strong product taste: knowing what to ship vs. not
• Ability to derive customer insights and translate into intuitive solutions
• Experience using coding agents and understanding their value and limitations
• Experience designing evals and identifying issues traditional tests miss
• Understanding of LLM systems in practice: context management, prompting, and trade-offs between cost and latency
• Systems thinking approach to recurring problems

• Curiosity and open-mindedness
• Decisiveness and strong judgment
• Strong communication and collaboration with cross-functional teams
• AI integration and product design
• Prompting, tool design and evals for LLMs
• Risk and compliance awareness in product decisions

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