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
- 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
- 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
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
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 is an equal opportunities employer.
Req. ID: 1273421116
AI is used to review applications based on job-related criteria and does not replace human decision-making. The hiring team decide who moves forward.
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, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada.
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