Senior Data Product Manager, Product Telemetry

MongoDB

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Palo Alto, CASan Francisco, CANew York, NY
Salary
$164,000–$323,000 / yr
Posted
105 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $244k
$145k most similar roles pay here $342k

This role pays more than 82% of similar roles. Most pay $174,575–$223,462 — the shaded band above. At the midpoint, this role pays about $244k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About MongoDB

MongoDB is a leading American software company that develops and provides commercial support for a popular, source-available document database. Designed to handle unstructured and structured data natively, its platform is purpose-built for modern cloud applications, analytics, and AI experiences.

MongoDB currently has 276 open roles on FindRole.

Listed pay typically runs $126,000–$240,000 across 81 roles with salary data.

Most-posted roles

View all roles at MongoDB

At a glance

TL;DR · Senior Data Product Manager, Product Telemetry

Senior Data Product Manager, Product Telemetry joins the Internal Data team to build and scale data products that power internal decisions and automate workflows for Product and Technology teams. This role focuses on developing data pipelines, datasets, reports, dashboards, APIs, ML models, and frameworks while managing telemetry and product engagement signals. The candidate will define product vision, manage agile processes, and create documentation to drive adoption across the organization. Key technical requirements include a strong foundation in data engineering, analytics, and modern data architecture, specifically involving lakehouses and medallion data structures. The role addresses the challenge of transforming raw data into actionable insights for internal stakeholders while improving customer experience through telemetry analysis. Essential skills include stakeholder management, roadmap prioritization, and the ability to translate complex concepts for both technical and non-technical audiences.

What you'll do

  • Define and execute the product vision, strategy, and roadmap for internal data products and infrastructure.
  • Deliver scalable data products including pipelines, datasets, reports, APIs, and machine learning models.
  • Collaborate with Product and Technology teams to translate complex business processes into technical requirements.
  • Develop tools and systems to analyze telemetry and product engagement signals for better decision-making.
  • Create user-friendly documentation, training materials, and onboarding guides to drive internal tool adoption.
  • Manage the agile development lifecycle including sprint planning, backlog grooming, and performance tracking.
  • Evangelize data-as-a-product by marketing new features and tools to internal stakeholders across the company.

What we're looking for

  • Must have at least 5 years of hands-on product management experience.
  • Must have experience focused on data products or platforms in a high-growth company.
  • Must possess a strong technical foundation in data engineering, analytics, and modern data architecture like lakehouses and medallion models.
  • Must have experience working with stakeholders in advanced engineering organizations and understanding the software development lifecycle.
  • Must be able to communicate complex concepts effectively to both technical teams and non-technical executives.
  • Must be able to manage agile processes including sprint planning, backlog grooming, and retrospectives.
  • Must be able to create product enablement materials such as guides, documentation, and training resources.
  • Must have the ability to define metrics and KPIs to measure success and iterate on product impact.

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