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

Location:

London, United Kingdom

Salary:

80000.00

Type:

Permanent

Main Industry:

Search Finance, Banking & Insurance Jobs

Job ID:

133110218

Company:

Jack & Jill

Posted On:

20 June 2026

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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