Senior Product Manager, Data Infrastructure

Jobtailor; Amsterdam; On-site; EUR 100,000 - 130,000; Full time

Job summary

Jobtailor is seeking an experienced Senior Product Manager to lead a data and infrastructure platform initiative in Amsterdam. You will govern platform access, consolidate scheduling tooling, and accelerate AI-assisted data migrations while preserving developer experience.

You will drive data ingestion, retirement of legacy systems, and cost-efficient compute strategies, collaborating with Data Mesh Enablement and Managed Data Products teams to define the overall technical strategy for

Qualifications

• Minimum five years of product management experience on a data or infrastructure platform team.
• Direct experience stewarding technical roadmaps.
• Ability to read system architecture and pipeline dependencies to guide sequencing with engineering.
• Track record of cross-team migrations and retirements.
• Willingness to learn and be transparent about growth areas.

Responsibilities

• Manage governed platform access for engineers, analysts, and services.
• Streamline orchestration and scheduling by consolidating fragmented scheduling tools.
• Use AI-assisted tooling to migrate jobs faster with less manual engineering effort.
• Drive data ingestion and replication through self-service platform capabilities.
• Oversee retirement of legacy systems and ensure clear ownership handoffs.
• Optimize compute cost efficiency without reducing developer experience.
• Advance compute strategy diversification across multiple compute engines.
• Build an AI-ready platform substrate with governed access and audit trails for agents.
• Use AI agents in daily work and establish norms for agentic workflows.
• Protect team focus and steward outcomes.
• Build trust across engineering, domain teams, and leadership through clear communication.
• Collaborate with Data Mesh Enablement, Managed Data Products, and agentic workflows teams on an overall technical strategy.

Skills

Data platform management

System architecture reading

Pipeline dependency analysis

Technical strategy development

AI tooling implementation

Tools

AI-Assisted Tooling

Scheduling Tools

Data Mesh Enablement

Managed Data Products

Job description

• Manage governed platform access for engineers, analysts, and services
• Streamline orchestration and scheduling by consolidating fragmented scheduling tools
• Use AI-assisted tooling to migrate jobs faster with less manual engineering effort
• Drive data ingestion and replication through self-service platform capabilities
• Oversee retirement of legacy systems and ensure clear ownership handoffs
• Optimize compute cost efficiency without reducing developer experience
• Advance compute strategy diversification across multiple compute engines
• Build an AI-ready platform substrate with governed access and audit trails for agents
• Use AI agents in daily work and establish norms for agentic workflows
• Protect team focus and steward outcomes
• Build trust across engineering, domain teams, and leadership through clear communication
• Collaborate with Data Mesh Enablement, Managed Data Products, and agentic workflows teams on an overall technical strategy

Requirements

• Five or more years of product management experience on a data or infrastructure platform team
• Direct experience stewarding technical roadmaps
• Comfortable reading system architecture and pipeline dependencies to make sequencing decisions with engineering
• Record of completing cross-team migrations and retirements
• Transparent about areas of growth and open to learning
• Preferred: 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 covers a need
• Proactive approach to independently navigating and understanding new technical systems, key contacts, and open questions

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 drive technical roadmaps, facilitate cross-team migrations, and leverage AI-assisted tools for improved workflows.

Highest-signal resume keywords

• Product Management Experience
• Technical Roadmap Stewardship
• Cross-Team Migration Completion
• AI Agent Utilization
• Compute Cost Optimization

Hard Skills

• Data Platform Management
• System Architecture Reading
• Pipeline Dependency Analysis
• Technical Strategy Development
• AI Tooling Implementation

Soft Skills

• Clear Communication
• Trust Building
• Proactive Learning
• Collaboration

Industry Keywords

• Compute Cost Efficiency
• Legacy System Retirement
• Agentic Workflows
• Data Ingestion
• Self-Service Platform Capabilities

Tools & Technologies

• AI-Assisted Tooling
• Scheduling Tools
• Data Mesh Enablement
• Managed Data Products