Product Manager, Search Systems — AI-Driven Infrastructure

The Briefed; San Francisco (CA); Teletrabalho; USD 170 000 - 210 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity and stock purchase program

Flexible paid time off

Parental leave (20 weeks)

Resumo da oferta

MongoDB seeks a seasoned Product Manager for the Search Systems Engineering team in San Francisco to drive the long-term vision for search, vector, and AI-native applications. You will translate customer needs into scalable architecture, collaborate with engineering leadership, and balance innovation with platform health and reliability.

You will partner with SRE and Solutions Architects to implement observability, SLOs/SLIs, and incident response improvements while communicating value to

Qualificações

• 5+ years in infrastructure or distributed systems product management.
• In-depth understanding of CAP theorem, consistency models, and sharding strategies.
• Experience translating technical trade-offs into business value for leadership.
• Ability to drive operational excellence and narrate infra health to executives.

Responsabilidades

• Set long-term technical vision for MongoDB Search and AI-native apps.
• Voice of customers; translate needs into scalable, high-performance architecture.
• Balance innovation with production stability and platform health.
• Collaborate with SRE and architects to turn telemetry into improvements.

Conhecimentos

Distributed systems PM

CAP theorem & consistency

Observability & SLOs/SLIs

Search & AI-native architectures

Executive storytelling

Ferramentas

Elasticsearch

Solr

Lucene

Vector databases

Descrição da oferta de emprego

MongoDB seeks a seasoned Product Manager for the Search Systems Engineering team in San Francisco to drive the long-term vision for search, vector, and AI-native applications. You will translate customer needs into scalable architecture, collaborate with engineering leadership, and balance innovation with platform health and reliability.

You will partner with SRE and Solutions Architects to implement observability, SLOs/SLIs, and incident response improvements while communicating value to