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HomeCompaniesMongoDBSenior Product Manager, Replication & Storage Engines

Senior Product Manager, Replication & Storage Engines

MongoDB · New York City; Seattle · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyMongoDB
TitleSenior Product Manager, Replication & Storage Engines
Normalized title-
Department / teamProduct Management
LocationNew York City, NY, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-27 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from MongoDB.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Product Management.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyMongoDB
Source88998ec6-cc1d-48ba-a390-4f081dbd8e53
ATS providerGreenhouse

Description

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. "the system falls over" or "we see intermittent latency spikes") into actionable, scoped priorities for Storage Engines. Frame work in customer-outcome terms so the team can spot gaps independently Lead high-stakes escalations, coordinating with Support and engineering to resolve issues and reduce churn risk Drive improvements to the replication protocol, including elections, consensus, failover, read/write concern semantics, and distributed transaction consistency Own product direction for oplog, initial sync, elections, rollback, and replica set configuration Maintain clear ownership boundaries with the Storage Execution Product Manager Enable Sales, Support, Customer Success, and Product Marketing as the subject-matter expert for replication and storage engine reliability Partner with engineering leadership on quarterly planning, technical strategy, and project scoping Requirements You can take a messy customer problem and turn it into something an engineering team can act on. When someone reports "intermittent latency spikes," you know how to dig in, ask the right questions, and trace it back to a root cause You are strong technically. You understand how distributed systems work, how databases store and replicate data, and you can hold your own in a room full of highly technical engineers You have a track record of making decisions and shipping in complex technical environments, not just analyzing You collaborate well with highly empowered engineering teams. This role influences through clarity and conviction, not authority You have experience working directly with enterprise customers on technical solutions You communicate complex concepts in a manner that is easily understood by multiple audiences, from deep-stack engineers to field teams to customers Bonus Points Experience with replication protocols, distributed consensus, storage engines, or other core database internals (B-tree engines, write-ahead logging, cache management) Experience managing products where the end user has no direct visibility into the component. You're used to being the bridge between customer experience and deeply internal systems behavior A track record of handling complex customer escalations and turning them into product improvements 5 or more years of experience in product management or a deeply technical customer-facing role Scope of Ownership This role spans two major areas of MongoDB's core server: Replication : the replication protocol (elections, rollback, heartbeats), replica set configuration, oplog, read/write concern, startup recovery, distributed transactions, initial sync, etc Storage Engines : WiredTiger and the encrypted storage engine, durability guarantees, memory management (cache sizing, eviction), checkpointing and journaling, timestamp-based data visibility rules, and data validation, repair, and recovery tools, spanning multiple sub-teams within the Storage Engines organization About MongoDB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy , we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB , and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req. ID: 1273421116 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $126,000 — $248,000 USD

Full job record

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Source ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Board ID88998ec6-cc1d-48ba-a390-4f081dbd8e53
Providergreenhouse
Provider Job Key7851166
TitleSenior Product Manager, Replication & Storage Engines
Normalized Title
Statusactive
Activeyes
Location TextNew York City; Seattle
DepartmentProduct Management
Team
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNY
CityNew York City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.mongodb.com/careers/job/?gh_jid=7851166
Apply URLhttps://www.mongodb.com/careers/job/?gh_jid=7851166
First Seen At2026-05-29 22:41:08Z
Last Seen At2026-06-06 07:33:49Z
Last Checked At2026-06-06 07:33:49Z
Last Changed At2026-06-06 07:33:49Z
Inactive At
Source Posted At2026-04-27 17:52:37Z
Source Updated At2026-06-04 18:30:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=mongodb/date=2026-06-06/2026-06-06T07-33-48-265Z-878cefdbd2d6652aa865bfb36ccc5162b6d25126bb43ee12601adf9824216fcc.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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