# Senior Product Manager

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Remote
**Role:** Product Management
**Experience:** 5+ years
**Skills:** Distributed Systems, Cap Theorem, Consistency Models, Sharding, Replication, Search Infrastructure, Vector Search, Hybrid Retrieval, Ai/Ml Infrastructure, Elasticsearch, Solr, Lucene, Observability, SLOs, Slis
**Posted:** 2026-08-27

> Senior Product Manager responsible for the long-term strategy and operational excellence of search infrastructure supporting distributed, vector, and AI-native applications. Requires 5+ years of infrastructure or distributed-systems product management experience and strong technical influence with engineering teams.

## Job Description

## Responsibilities
- Drive the long-term technical vision for MongoDB Search, anticipating vector, hybrid, and AI-native application patterns.
- Represent customers building mission-critical AI applications and identify needs around scalability, consistency, performance, and multi-tenancy.
- Partner with engineering leadership to translate distributed-systems tradeoffs into business value while balancing innovation and production stability.
- Collaborate with SRE and Solutions Architects on instrumentation, observability, feedback loops, and proactive reliability improvements.
- Lead architectural audits, define SLOs and SLIs, develop strategic investment plans, improve alerting, and guide major infrastructure capabilities from concept through general availability.
- Use operational metrics and incident learnings to improve reliability, reduce toil, and influence roadmap allocation.

## Requirements
- 5+ years of product management experience focused on infrastructure or distributed systems.
- Deep knowledge of CAP theorem, consistency models, sharding strategies, replication, and production operations.
- Experience driving operational excellence and connecting system health to business outcomes through data-driven narratives.
- Ability to influence architectural decisions and engineering roadmaps without formal authority.
- Strong customer-discovery, strategic planning, technical communication, and executive storytelling skills.
- Empathy for engineering experiences such as on-call operations and production debugging.

## Nice to Have
- Production experience with Elasticsearch, Solr, Lucene, or vector databases at scale.
- Experience with AI/ML infrastructure, vector search, embeddings management, or hybrid retrieval systems.

## Compensation
- MongoDB states that a base salary range is available for the role, but the range is not included in the provided posting.

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