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AI Product Manager (Up to £80K) at Chip Financial Ltd

Posted 2 days 21 hours ago by Jack & Jill

£80,000 Annual
Permanent
Full Time
Banking & Financial Services Jobs
London, United Kingdom
Job Description
Overview

Chip Financial Ltd is seeking an AI Product Manager to lead the development of customer-facing agents and internal automation tools. Reporting to the CPO, you will drive technical architecture, model evaluation, and deployment, turning agentic AI concepts into high-impact production features.

Job Details

Job Title: AI Product Manager

Salary: Up to £80K

Location: London, UK

Company Description: Chip Financial Ltd - Fast-growing fintech valued at £208M

Why this role is remarkable
  • Ship AI at scale: You will own the roadmap for a Wealth Agent and Customer Support Agent reaching hundreds of thousands of real users, not just building internal experiments.
  • High-growth fintech backing: Chip is valued at £208M and supported by a massive retail investor community of 30,000+ shareholders via Crowdcube.
  • Strategic ownership: This is a new, dedicated AI role reporting directly to the CPO, offering significant influence over Chip's long-term AI-native product strategy.
What you will do
  • Lead AI features from discovery through production, defining critical success metrics for accuracy, hallucination thresholds, and compliance.
  • Partner with engineering on technical architecture decisions, including RAG implementations, prompt engineering, agent orchestration, and monitoring frameworks.
  • Collaborate with Risk & Compliance to establish governance and guardrails for deploying AI systems within a regulated financial environment.
The ideal candidate
  • 3-5 years of Product Management experience with a proven track record of shipping AI/ML features into live customer environments.
  • Technical credibility in generative AI, with a deep understanding of LLM fundamentals, model evaluation, and building systematic feedback flywheels.
  • A proactive self-starter who uses AI tools in their daily workflow and thrives in zero-to-one, ambiguous environments.
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