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About the role
MongoDB powers mission‑critical workloads for customers who expect their data to be durable, highly available, and fast to access. The Storage Execution team builds the core infrastructure that makes those guarantees real.
We are hiring a Senior Engineering Manager to manage the largely New York-based Storage Execution team. This is a hands-on leadership role for someone who is obsessed with customer success, takes the responsibility of durably storing customer data seriously, and has strong empathy for both their team and our users.
This role can be based remotely in the United States.
ABOUT THE STORAGE EXECUTION TEAM
The Storage Execution team sits at the heart of MongoDB’s Online Transaction Processing (OLTP) team. We own the core transactional read/write path on each node, across both today’s storage engine and a next‑generation cloud-native storage architecture. Our work determines how correct and performant MongoDB is for customers running mission-critical production workloads.
The team’s responsibilities include:
Defining and maintaining the internal collection and index APIs used by Replication, Query and Catalog modules, and commands for local reads and writes, plus the transaction and durability primitives that govern visibility, conflict resolution and crash recovery
Integrating the next generation of MongoDB’s storage architecture into the server in a way that is predictable for other teams, scales with cloud elasticity, and preserves the performance and safety of the classic configuration
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Improving transaction processing speed and semantics of both single shard and cross-shard transactions
Owning index builds and schema‑level storage operations (build/rebuild, cleanup, resumability) and ensuring they behave well for large, highly available clusters running write-heavy workloads
Building validation, diagnostics, and storage‑focused test infrastructure to catch durability issues early and keep the system trustworthy at scale
Partnering with neighboring teams on flow control, prioritization and load-shedding to stay within resource limits, protecting durability and availability at the cluster level without starving critical operations
WHAT YOU’LL DO
Lead, grow and manage a New York–based team of 8 to 10 engineers; ensure clear expectations, high standards, and healthy, sustainable execution
Own the team’s roadmap across durability, availability, performance, and developer productivity, in partnership with OLTP leadership and Product Management
Manage customer escalations involving storage behavior and durability; work directly with Support, Atlas, and other server teams to reproduce, root‑cause, and resolve issues
Drive process and tooling improvements that raise engineering velocity and code quality (e.g., ownership, review expectations, customer escalation and build failure practices)
Partner closely with Replication, Query, Sharding, Catalog & Routing, Storage Engines, and Atlas teams on cross‑team features such as the new storage architecture, availability improvements, and workload management
Represent Storage Execution in planning, staffing, and calibration; make thoughtful tradeoffs between near‑term deliverables, longer‑term availability gaps, and platform investments
CANDIDATE PROFILE
8+ years building, debugging, and tuning distributed and/or highly concurrent systems software (databases, storage engines, filesystems, or similar)
2+ years managing engineers directly, including hiring, performance management, and coaching across a range of levels
Willing to work East Coast hours
Strong proficiency in at least one compiled, statically-typed language such as C++, Rust, or Go; prior C++ and systems programming experience is a plus
Deep understanding of durability, availability, and performance tradeoffs in distributed systems; experience with replication, consensus, storage engines, or transactional systems is highly desirable
Demonstrated customer obsession: direct experience working with demanding customers (or customer support / cloud teams) on complex incidents and turning them into clear, outcome‑oriented recommendations
Proven ability to develop people: mentoring and promoting engineers, managing underperformance directly, and building high‑engagement teams with low regretted attrition
Comfortable leading multi‑quarter initiatives with multiple stakeholders and using written documents to align teams on design, scope, and tradeoffs
SUCCESS MEASURES
In three months, you have:
Built strong relationships with your team and key partner teams
Taken over team ceremonies, short‑term planning, and on‑call responsibilities
Co‑led at least one active project and shipped one concrete process improvement
In six to twelve months, you have:
Led at least one cross‑team initiative in availability, durability, or developer velocity
Delivered a multi‑quarter project with clear impact on durability/availability or team throughput
Built a bench of engineers ready for increased scope and, over time, leadership roles
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 data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform 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 data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, 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: 3273532708
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: $151,000—$297,000 USD
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operati