Senior Engineering Manager, Developer Productivity

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle.

This role can be based remotely in Canada.

The Team

The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering.

Candidate Profile

We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement.

The right candidate for this role will have

4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates

8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus

Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision

Strong customer orientation and sound judgment in finding practical, high-leverage solutions

Experience working with systems involving analytics, data pipelines, and metrics platforms

Experience with AI tools development and enablement efforts

Strong technical judgment, including the ability to evaluate tradeoffs, identify risks, and ask the right questions without needing to be hands-on in the code every day

Ability to connect observability, engineering metrics, and AI capabilities to meaningful improvements in the developer ecosystem

Excellent communication skills with engineers, peer managers, and senior leadership

A track record of building inclusive, high-performing teams where engineers can do their best work

Position Expectations

Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, collaboration, and continuous improvement

Improve engineering visibility and decision-making. Ensure your team delivers the systems, analytics, and reporting needed for Engineering leadership to understand the health, performance, and efficiency of the software development lifecycle

Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements, with a focus on measurable impact and responsible rollout

Drive the roadmap. Partner with Staff and Senior Staff ICs, TPMs, and stakeholders to define and evolve a 12-month roadmap that balances near-term delivery with long-term platform investment

Success Measures

In the first month, understand the team structure, active projects, and stakeholder landscape. Build trust with your direct reports and identify the top execution risks

In three months, deliver meaningful improvements in at least one area, measured through adoption, reliability, or developer satisfaction, and establish yourself as a reliable partner to peers and leadership

In twelve months, complete a full performance and growth cycle for your team, define a coherent multi-domain strategy, and drive measurable improvements in engineering effectiveness and developer experience across MongoDB

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