Senior Product Manager, Data Infrastructure

About This Opportunity

We are representing a confidential technology organization in their search for a Senior Product Manager, Data Infrastructure based in London on a hybrid basis. This role sits at the intersection of platform strategy, AI-readiness, and data governance—stewarding the infrastructure that makes shared data accessible, trustworthy, and efficient across engineering and analytics teams.

You will own the product direction for a self-service data platform designed to support both human users and AI agents. The organization is moving toward agentic workflows as a standard operating model, and this platform serves as the foundation for governed, auditable access to company data.

Responsibilities

• Manage governed platform access for engineers, analysts, and services—ensuring safe, auditable routes to shared data
• Streamline orchestration and scheduling by consolidating fragmented tools into a unified system teams adopt by default
• Define and build self-service data ingestion capabilities for teams bringing their own data onto the platform
• Oversee retirement of legacy systems with clear ownership handoffs and minimal disruption
• Optimize compute cost efficiency by identifying waste and improving the developer experience simultaneously
• Advance compute strategy diversification to support multiple engines suited to different workload types
• Build AI-ready infrastructure with the same governance and audit standards for agents as for people
• Collaborate closely with data mesh, managed products, and agentic workflow teams toward a unified technical strategy
• Use AI agents in your own workflows and set norms that encourage safe experimentation across the team

What We're Looking For

• Five or more years of product management experience on a data or infrastructure platform team
• Direct experience stewarding technical roadmaps and making sequencing decisions alongside engineering
• A proven track record of completing cross-team migrations and system retirements, not just planning them
• Ability to read system architecture and pipeline dependencies well enough to inform real prioritization calls
• Transparent communication style, especially when addressing complexity or knowledge gaps under pressure
• Comfort weighing compute cost, performance, and developer experience, and driving tradeoffs to clear decisions (preferred)
• Working knowledge of how AI agents interact with data and tooling differently than human users (preferred)
• Proactive approach to navigating new technical systems and identifying key contacts independently (preferred)

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and confirm alignment with the role. If there's a strong match, we will submit your profile to our client for consideration. Please do not attempt to contact the client directly, as all communication and coordination will be managed through our recruitment process.

Pay

Pay via Get A Job.ai will be competitive and commensurate with experience. Specific compensation details will be discussed during the screening process.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices and works with clients who value diversity and equal opportunity in employment.