Senior AI Product Manager - Platform, Portugal

Zego

9h • Remote

About The Position

Zego is hiring a Senior AI Product Manager for its Platform team in Portugal. The Platform powers customer journeys across quoting, buying, paying for, changing, renewing, and cancelling insurance policies. The role owns a product domain, sets its quarterly strategy and goals, and contributes to longer-term Platform strategy as Zego rebuilds and modernises critical services. The Product Manager will translate technical challenges into business value and ensure services are resilient, compliant, and usable by both AI agents and applications.

The role involves leading discovery and incremental modernisation of business-critical services, balancing new capabilities with legacy rebuilds and reliability. It also focuses on treating internal teams as customers, enabling fast and predictable launches, making services AI-ready through well-documented APIs and data, establishing AI-enabled workflows, and measuring reliability, incidents, launch time, and cost to serve. The role works closely with Engineering, Legal, Compliance, Finance, and senior stakeholders to make sound technical and commercial decisions and build compliance into product design.

The position is remote from Portugal, with quarterly visits to the London office. Zego describes its working approach as hybrid, balancing collaboration and focused work, with quarterly team gatherings and an annual company gathering. The compensation package is €75,000–€90,000 base salary, plus bonus, share options, and benefits.

Requirements

• Track record of owning a technical, platform, or backend product domain and delivering material business impact in a high-growth environment.
• Technical literacy and confidence discussing system architecture, APIs, event-driven services, and workflow orchestration with engineers.
• Experience leading incremental rebuilds of business-critical services while keeping existing services running.
• Ability to use financial, behavioural, and usage data to inform decisions and build the case for Platform investment.
• Ability to query Snowflake or Looker independently.
• Ability to untangle dependencies across multiple business domains and explain technical trade-offs to non-technical stakeholders.
• Use AI daily, experiment quickly, remain curious, and take ownership of developing AI skills.

Nice To Haves

• Background in engineering or data science.
• Experience in insurance, payments, lending, or financial services, with compliance built into product design.

Responsibilities

• Define the product domain’s quarterly strategy and goals, and help refine longer-term Platform plans.
• Balance new capabilities, legacy rebuilds, and reliability in Platform strategy.
• Lead complex discovery and incrementally modernise the policy lifecycle, moving capability from legacy systems safely.
• Understand technical details, dependencies, and failure modes, and make informed trade-offs with Engineering.
• Treat internal teams as customers so that launching products, prices, and journeys on the Platform is fast and predictable.
• Make services AI-ready with clean, well-documented APIs and data that agents and automations can use safely.
• Establish AI-enabled workflows for the product domain.
• Set metrics for reliability, incidents, time-to-launch, and cost to serve, and build business cases for Platform investment.
• Work with Legal, Compliance, and Finance to build compliance into services and ensure money flows and customer communications are accurate and auditable.
• Run ceremonies with senior stakeholders, facilitate big-room planning, and escalate issues when appropriate.

Benefits

• Market-competitive salary benchmarked against the role’s function and reviewed annually.
• Annual performance bonus linked to company performance and individual contribution.
• Share options.
• Private medical insurance.
• Pension.
• Generous holiday.
• £1,000 per year to spend on travel to the office or learning.
• Cutting-edge systems and tools.
• Benefits are also referenced in the compensation package, which includes bonus and share options.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed