Senior Data Product Manager, Product Telemetry

MongoDB Atlas

New York City, New York, USA
On-site (with potential for east coast remote)
Data-as-a-product strategy
Telemetry and product adoption signals
Modern data platforms and architecture
MongoDB Atlas is seeking a Senior Data Product Manager for its Internal Data team to lead the development of scalable data products that empower internal stakeholders. The ideal candidate will have extensive experience in product management, particularly in data products, and possess strong technical skills in data architecture and analytics

Job Summary

  • Lead efforts to build, enhance, and scale data products for Product and Technology teams, driving smarter decisions, automating workflows, and enabling AI agents.
  • Drive the vision and strategy for internal data as a product, focusing on telemetry and product adoption/engagement/churn signals to improve end-user experience.
  • Own and drive agile processes, balancing innovation with tech debt, and champion the value of data products across MongoDB teams.

Matching Summary

Match Score: 85

MongoDB Atlas is seeking a Senior Data Product Manager for its Internal Data team to lead the development of scalable data products that empower internal stakeholders. The ideal candidate will have extensive experience in product management, particularly in data products, and possess strong technical skills in data architecture and analytics.

Skills & Requirements

Must-have

  • Data-as-a-product strategy
  • Telemetry and product adoption signals
  • Modern data platforms and architecture
  • Agile product management
  • Stakeholder enablement and documentation

Nice-to-have

  • Data science and BI tools expertise
  • Engaging product enablement materials
  • Evangelizing technical products
  • Metadata management knowledge
  • Awareness of data market trends

Key Requirements

  • 5+ years of product management experience
  • 2+ years focused on data products or platforms
  • Experience with advanced engineering organizations
  • Strong technical foundation in data engineering, analytics, and data products

Work Rights

Not specified

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