Senior Product Manager, Replication & Storage Engines
MongoDB, Inc. - New York City; Seattle
Posted Apr 27, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
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- Mental health support
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- 401(k) match
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Where they hire
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About this role
Senior Product Manager, Replication & Storage Engines New York City; Seattle MongoDB is seeking an experienced Product Manager to own the strategy and execution for two tightly integrated layers of our core database: Replication and Storage Engines (WiredTiger). Together, these layers underpin MongoDB's durability, availability, and performance for customers running mission-critical workloads. This role spans two very different levels of customer visibility. Replication is, at its core, about keeping a distributed system in sync. Customer-facing concepts like failover, read concerns, and write concerns are how those guarantees surface. Customers understand and articulate those directly. WiredTiger internals like eviction, checkpointing, and cache management are invisible to customers, but are often blamed when "the system is misbehaving". You'll need to move comfortably between both worlds: translating ambiguous customer symptoms into precise priorities for the storage engines team deep in the stack, while driving the replication roadmap and partnering with fellow database product managers on cross-cutting concerns. We are looking to speak to candidates who are based in New York City or Seattle for our hybrid working model. Responsibilities - Own the product direction, roadmap, and execution plan for MongoDB's replication and storage engine layers, ensuring we continue to deliver rock-solid durability, availability, and performance for mission-critical workloads - Define the long-term roadmap for the storage engine (WiredTiger), balancing architectural investments against near-term escalation pressure - Define and track measurable service-level objectives (SLOs) for replication lag, failover time, storage engine health and predictability, and customer data durability - Distill ambiguous customer pain (e.g.
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