Description
Join MongoDB's Search Systems Engineering team, building next-generation database infrastructure at scale. As a Senior Product Manager, you'll work with talented engineers to architect distributed systems for highly performant search and AI applications. You'll serve as a strategic partner and technical translator, anticipating market needs 18-24 months ahead of current development cycles.
Role Responsibilities:
- Contribute to the future of search infrastructure, driving the long-term technical vision for MongoDB Search
- Champion the customer and innovation, acting as the voice of customers building mission-critical AI applications
- Drive engineering strategy and impact, partnering with engineering leadership to translate complex technical tradeoffs into business value
- Orchestrate world-class observability, collaborating with SRE and Solutions Architects to build advanced instrumentation strategies
Requirements:
- 5+ years of PM experience with a focus on infrastructure or distributed systems
- Deep technical authority, mastery of concepts like CAP theorem, consistency models, and sharding strategies
- Strategic vision at the technical edge, operating comfortably at the intersection of complex architecture and business strategy
- Unrivaled influence, earning the trust of senior engineers through technical depth and respect for complexity
- Visionary customer obsession, designing deeply technical products with long-term success criteria in mind
Nice to Have:
- Direct experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases
- Experience with AI/ML infrastructure or building platform capabilities that enable AI applications
Success Measures:
- Month 3: Technical immersion, state of reliability, and quick win
- Month 6: Operationalize SLOs, conviction paper, and observability upgrade
- Month 12: Quantifiable health gains, tier-1 launch, and establishing authority on search scaling