Senior Product Manager, Data Infrastructure

Jobtailor; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Jobtailor is seeking a senior Product Manager to lead data and infrastructure platform initiatives in London. You will own roadmaps, assess system architectures, and coordinate migrations while balancing compute cost with developer experience.

The role emphasizes AI-assisted tooling, self-service data ingestion, and cross-team collaboration with data enablement groups to define a cohesive technical strategy. Hybrid London work environment offered.

Qualifications

• Five or more years of product management experience on a data or infrastructure platform team
• Experience stewarding technical roadmaps directly
• Comfortable reading system architecture and pipeline dependencies well enough to make sequencing decisions with engineering
• Record of taking cross-team migrations and retirements through completion
• Transparent about areas of growth and open to learning
• Experience weighing compute cost against performance and developer experience (preferred)
• Working knowledge of how AI agents consume data and tools differently from people (preferred)
• Judgment on when a vendor's own agent layer already covers a need (preferred)
• Proactive approach to navigating and understanding new technical systems, key contacts, and open questions independently (preferred)

Responsibilities

• Manage governed platform access for engineers, analysts, and services
• Streamline orchestration and scheduling across fragmented scheduling tools
• Use AI-assisted tooling to accelerate job migrations
• Drive data ingestion and replication through self-service platform capabilities
• Oversee retirement of legacy systems and hand off clear ownership
• Optimize compute cost efficiency without reducing developer experience
• Advance compute strategy diversification across storage and compute engines
• Build an AI-ready platform substrate with governed access and audit trails
• Use AI agents in daily work and establish norms for agentic workflows
• Protect team focus and steward outcomes rather than tasks
• Build trust across engineering, domain teams, and leadership
• Collaborate with Data Mesh Enablement, Managed Data Products, and the agentic workflows team on an overall technical strategy

Skills

Data Platform Management

Infrastructure Management

Compute Cost Optimization

Data Ingestion

Job Migration

Legacy System Retirement

Technical Strategy Development

AI Tooling

Self-Service Platform

Pipeline Dependency Analysis

Tools

AI-Assisted Tooling

Scheduling Tools

Data Mesh

Managed Data Products

Agentic Workflows

Job description

1. Manage governed platform access for engineers, analysts, and services
2. Streamline orchestration and scheduling across fragmented scheduling tools
3. Use AI-assisted tooling to accelerate job migrations
4. Drive data ingestion and replication through self-service platform capabilities
5. Oversee retirement of legacy systems and hand off clear ownership
6. Optimize compute cost efficiency without reducing developer experience
7. Advance compute strategy diversification across storage and compute engines
8. Build an AI-ready platform substrate with governed access and audit trails
9. Use AI agents in daily work and establish norms for agentic workflows
10. Protect team focus and steward outcomes rather than tasks
11. Build trust across engineering, domain teams, and leadership
12. Collaborate with Data Mesh Enablement, Managed Data Products, and the agentic workflows team on an overall technical strategy

Requirements

• Five or more years of product management experience on a data or infrastructure platform team
• Experience stewarding technical roadmaps directly
• Comfortable reading system architecture and pipeline dependencies well enough to make sequencing decisions with engineering
• Record of taking cross-team migrations and retirements through completion
• Transparent about areas of growth and open to learning
• Experience weighing compute cost against performance and developer experience (preferred)
• Working knowledge of how AI agents consume data and tools differently from people (preferred)
• Judgment on when a vendor's own agent layer already covers a need (preferred)
• Proactive approach to navigating and understanding new technical systems, key contacts, and open questions independently (preferred)

Core Competencies

Demonstrates expertise in managing data and infrastructure platforms, with a focus on optimizing compute cost efficiency and enhancing developer experience. Proven ability to collaborate across teams and drive technical strategy while leveraging AI-assisted tools and workflows.

Highest-signal resume keywords

• Product Management Experience
• Technical Roadmap Stewardship
• System Architecture Understanding
• Cross-Team Migration Management
• AI Agent Utilization

ATS Optimization Keywords

Hard Skills

• Data Platform Management
• Infrastructure Management
• Compute Cost Optimization
• Data Ingestion
• Job Migration
• Legacy System Retirement
• Technical Strategy Development
• AI Tooling
• Self-Service Platform Capabilities
• Pipeline Dependency Analysis

Soft Skills

• Collaboration
• Trust Building
• Proactive Learning
• Transparent Communication
• Outcome Stewardship

Industry Keywords

• Governed Access
• Audit Trails
• Compute Strategy Diversification
• Technical Roadmap
• Cross-Team Collaboration

Tools & Technologies

• AI-Assisted Tooling
• Scheduling Tools
• Data Mesh
• Managed Data Products
• Agentic Workflows