Senior Product Manager

MongoDB is a database technology company building a unified platform for modern applications, search, and AI. The Senior Product Manager will shape the long-term technical vision for MongoDB Search infrastructure, represent customer needs, guide engineering strategy, and improve observability and operational excellence for distributed systems at scale.

Responsibilities:

• Contribute to the Future of Search Infrastructure: Drive the long-term technical vision for MongoDB Search, anticipating emerging patterns in vector, hybrid, and AI-native applications to build conviction around platform investments 12–18 months ahead of market demand
• Champion the Customer & Innovation: Act as the voice of customers building mission-critical AI applications, using deep technical discovery to uncover latent needs around scalability and consistency, ensuring our architecture leads the industry in performance and multi-tenancy
• Drive Engineering Strategy & Impact: Partner deeply with engineering leadership to translate complex technical tradeoffs into business value, balancing rapid innovation velocity with the rigorous production stability required for long-term platform health
• Orchestrate World-Class Observability: Collaborate with SRE and Solutions Architects to build advanced instrumentation strategies and feedback loops, turning production signals and incident learnings into proactive improvements that secure system resilience
• Technical Immersion: Complete a full architectural audit of the search stack. Be able to debate replication flows and consistency guarantees with Staff Engineers
• State of Reliability: Deliver a report identifying the top 3 sources of operational toil and observability blind spots
• The Quick Win: Identify and ship one low-hanging reliability improvement (e.g., a missing metric or doc gap) to demonstrate immediate value to the engineering team
• Operationalize SLOs: Partner with SRE to publish official SLOs/SLIs, shifting the culture from "is it down?" to managing error budgets
• The "Conviction Paper": Synthesize customer discovery into a strategic whitepaper defining the architectural investments needed for the next 18 months
• Observability Upgrade: Lead the rollout of high-signal alerting strategies that move the team from reactive triage to proactive prevention
• Quantifiable Health Gains: Demonstrate measurable improvement in system metrics (e.g., reduced p99 latency, improved MTTR, or 0 capacity-related incidents)
• Tier-1 Launch: successfully guide a major infrastructure capability (e.g., new vector index or sharding mechanic) from concept to General Availability
• Authority: Establish yourself as the internal authority on search scaling, influencing roadmap allocation toward long-term platform health

Requirements:

• This role can be based out of our San Francisco office or remotely in USA region
• • Deep Technical Authority: 5+ years of PM experience with a specific focus on infrastructure or distributed systems. You possess a mastery of concepts like CAP theorem, consistency models, and sharding strategies, backed by real-world empathy for the engineering experience—whether that's being on-call or debugging production incidents
• • Strategic Vision at the Technical Edge: You operate comfortably at the intersection of complex architecture and business strategy, capable of debating consensus algorithms with engineers while Data-Driven Storytelling: A proven track record of driving operational excellence combined with exceptional narrative skills. You effortlessly pivot from analyzing low-level system metrics to crafting executive narratives that connect infrastructure health to critical business outcomes
• • Unrivaled Influence: You earn the trust of senior engineers through technical depth and respect for complexity, not just title. You excel at guiding architectural decisions without needing formal authority helping to translate those decisions into market differentiation and forward-looking product investments
• • Visionary Customer Obsession: You understand that for platform products, your customers are often building abstractions on top of your abstractions, and you design deeply technical products with their long-term success criteria in mind
• • Direct experience with search technologies (Elasticsearch, Solr, Lucene) or vector databases, particularly in production environments at scale
• • Experience with AI/ML infrastructure or building platform capabilities that enable AI applications (vector search, embeddings management, hybrid retrieval systems)