Controls Product Senior ManagerPosted today£85K–£115K

The opportunity

🚀 We’re on a mission to make money work for everyone.

What you'll do

  • Own the Controls Product Roadmap: Define the vision, strategy, and backlog for Monzo’s internal risk products, replacing static, manual cycles with smart, data-driven platforms (SmartSuite, Zango, Looker, and native AI integrations).

  • Hands-on Prototyping & Automation: Directly design, prototype, and build automated workflows, API integrations, and low-code/no-code solutions. You'll take an idea from a problem statement to a working MVP before partnering with core Engineering (if necessary) to scale or industrialise it.

  • Pioneer AI in Risk Management: Champion AI adoption across the discipline. Experiment with LLM prompting, custom agents, and automated evidence-gathering tools to solve complex control problems and dramatically reduce manual drag for Monzo staff.

  • Build for Real-Time Risk Intelligence: Drive the shift from annual "point-in-time" assessments to continuous, automated monitoring. Design data triggers (e.g., incident spikes, change flags) that alert risk owners in real time.

  • Product Enablement & Adoption: Ensure high-impact adoption. Work closely with first line risk owners and Risk Partners to deliver clear "write once" guidance, intuitive UI/UX workflows, and enablement that allows teams to self-serve effortlessly.

  • Drive Execution & Delivery: Maintain momentum across the team’s delivery plan (guiding 2 specialised data/automation direct reports), keeping senior stakeholders engaged and removing blockers without bureaucratic overhead.

What they're looking for

  • You think like a Product Manager: You obsess over user problems, value vs. effort prioritization, user experience, and shipping MVPs quickly.
  • You are a Hands-On Builder: You can get under the hood with data and automation. You're comfortable with SQL, Python (or similar), APIs, workflow tools, or low-code environments to build a working prototype yourself.
  • You’re AI-Curious & Practical: You actively experiment with AI/LLMs to automate manual tasks and make workflows smarter.
  • You Understand Risk & Controls: You understand fundamental risk concepts (control design, RCSAs, issue management) and see the massive opportunity to transform them through tech.