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Senior Product Data Manager

Ebury

London, England, United KingdomOn Site

Original Job Summary

Overview

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally with tailored financial solutions. As a Senior Product Data Manager on the Atlas team, you will build and scale a real-time data infrastructure that powers company-wide data ingestion from diverse sources.

Key Responsibilities

  • Own the vision and roadmap for the Atlas platform.
  • Build scalable, low-latency, event-driven infrastructure.
  • Act as a product evangelist driving cross-team adoption.
  • Define internal user journeys for downstream product teams.
  • Ensure consistent, versioned, traceable data ingestion.
  • Collaborate with engineering on protocol design and messaging patterns.
  • Balance roadmap priorities with service levels and reliability SLAs.

Required Skills & Experience

  • 4+ years in product management with a technical focus.
  • Expertise in event-driven architecture and distributed systems.
  • Hands-on experience with stream processing and pub/sub systems like Kafka.
  • Strong communication and stakeholder management skills.
  • Experience in regulated industries with emphasis on data integrity is a plus.

Why Work at Ebury?

Competitive salary with discretionary bonus, dedicated mentorship, cutting-edge technology, clear career progression, and a dynamic, supportive culture. Work from our Central London office in a hybrid arrangement.

Key skills/competency

  • Product Management
  • Data Infrastructure
  • Event-driven
  • Distributed Systems
  • API Design
  • Kafka
  • Scalability
  • Stakeholder Management
  • Compliance
  • Real-time Data

How to Get Hired at Ebury

🎯 Tips for Getting Hired

  • Research Ebury's culture: Check LinkedIn, reviews, and company news.
  • Customize your resume: Highlight product and technical skills.
  • Demonstrate event-driven expertise: Emphasize Kafka and distributed systems.
  • Prepare for stakeholder questions: Showcase clear communication and vision.

📝 Interview Preparation Advice

Technical Preparation

Study event-driven architecture principles.
Practice Kafka and stream processing systems.
Review distributed systems design trade-offs.
Explore API design and pub/sub patterns.

Behavioral Questions

Prepare cross-team collaboration examples.
Showcase effective stakeholder management.
Demonstrate clear communication skills.
Share product vision experiences.