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Senior Product Manager, Search Platform

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: MongoDB
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Senior Product Manager, Search Platform role at Mongo

DB.

About the Team

Join our Mongo

DB Search Systems Engineering team at the forefront of building next-generation database infrastructure 'll work alongside some of our most talented and deeply technical engineering teams who are architecting distributed systems that power highly performant search and AI applications for enterprise customers worldwide. This team operates at the intersection of infrastructure innovation and customer impact—building the foundational platform capabilities that will define how organizations leverage search and AI at scale for years to come.

In this role, you'll serve as both strategic partner and technical translator, helping brilliant engineers navigate the path to operational excellence while maintaining the forward vision to anticipate market needs 18-24 months ahead of current development cycles. What Makes This Role Unique:
This is about architecting the future of search infrastructure. You'll be working with engineers who live and breathe distributed systems, helping them channel that brilliance toward platforms that don't just work today, but anticipate the architectural needs of tomorrow's AI-native applications. If you light up at the challenge of seeing around corners in infrastructure and can hold your own in technical debates about consensus protocols while keeping the team focused on customer value—this is your role.

Preferred locations:
New York or San Francisco (Hybrid);
Remote Optional (North America).

Role Responsibilities
  • Contribute to the Future of Search

    Infrastructure: Drive the long-term technical vision for Mongo

    DB 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.
Requirements
  • Deep Technical Authority: 5+ years of PM experience with a specific focus on infrastructure or distributed systems. 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:
    Operate comfortably at the intersection of complex architecture and business strategy, capable of debating consensus algorithms with engineers while delivering a data‑driven narrative that connects infrastructure health to critical business outcomes.
  • Unrivaled Influence:
    Earn the trust of senior engineers through technical depth and respect for complexity, guiding architectural decisions without formal authority and translating those decisions into market differentiation and forward‑looking product investments.
  • Visionary Customer Obsession:
    Understand that for platform products, your customers build abstractions on top of your abstractions, designing deeply technical products with their long‑term success criteria in mind.
Nice to Have
  • 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).
Success Measures Month 3
  • Technical Immersion:
    Complete a full architectural audit of the search stack. Be able to debate…
Position Requirements
10+ Years work experience
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