Senior Product Manager

MongoDB

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Posted
15 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $200k
$153k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $175,137–$224,050.

Based on 240 similar postings.

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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 311 open roles on FindRole.

Listed pay typically runs $126,000–$226,000 across 95 roles with salary data.

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At a glance

TL;DR · Senior Product Manager

As a Senior Product Manager on the Search Systems Engineering team, you will serve as a technical translator and strategic partner to engineers building distributed systems for high-performance search and AI applications. You will be responsible for defining the long-term technical vision for search infrastructure, anticipating market needs for vector, hybrid, and AI-native applications eighteen months ahead of current cycles. Your daily work involves translating complex technical tradeoffs into business value, conducting deep technical discovery to uncover customer needs regarding scalability and consistency, and collaborating with SREs to build advanced observability strategies. The role requires expertise in distributed systems concepts like the CAP theorem, consistency models, and sharding strategies. You will also navigate technologies such as Elasticsearch, Solr, Lucene, and vector databases while managing infrastructure for multi-tenant environments and ensuring production stability through proactive monitoring.

What does a Product Manager earn in California?

Median $223300 from 163 postings across 44 companies.

See salary data

What you'll do

  • Drive the long-term technical vision for search infrastructure by anticipating trends in vector and AI-native applications.
  • Conduct deep technical discovery to identify customer needs regarding scalability, consistency, and multi-tenancy.
  • Translate complex technical trade-offs into business value to balance innovation with production stability.
  • Develop advanced instrumentation strategies and feedback loops to improve system resilience and observability.
  • Establish and manage official SLOs and SLIs to move the team toward proactive incident prevention.
  • Author strategic whitepapers that define architectural investments for upcoming product cycles.
  • Lead major infrastructure capabilities from initial concept through to general availability.
  • Influence roadmap allocation by establishing internal authority on search scaling and platform health.

What we're looking for

  • You must have 5+ years of product management experience focused on infrastructure or distributed systems.
  • You must possess mastery of concepts including CAP theorem, consistency models, and sharding strategies.
  • You must be able to translate complex technical tradeoffs into business value and executive narratives.
  • You must demonstrate the ability to influence senior engineers and guide architectural decisions without formal authority.
  • Experience with search technologies like Elasticsearch, Solr, or Lucene is preferred.
  • Experience with vector databases or AI/ML infrastructure is preferred.

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