Senior Engineering Manager, Storage Execution
mongodb
2 months ago
Full-time
On-site
United States
$121,000 - $327,000 USD yearly
Engineering
Moneyboard classification: Published range reaches threshold
Reported USD annual base: $121,000–$327,000
Original source: Greenhouse
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
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, a
Reported USD annual base: $121,000–$327,000
Original source: Greenhouse
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
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, a