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 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 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: 2273490079

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.

MongoDB’s base salary range for this role in Canada is:

$191,000—$265,000 CAD