# Senior Engineering Manager, Developer Productivity

**Company:** [MongoDB](https://hotfix.jobs/companies/mongodb)
**Location:** Remote
**Role:** Engineering Management
**Salary:** $151k – $297k/yr
**Experience:** 8+ years
**Skills:** developer productivity, Observability, Data Pipelines, metrics platforms, AI Tools, Platform Engineering, Data Engineering, Analytics, Roadmap Planning, Team Management
**Posted:** 2026-07-21

> Lead engineering teams in the AXIS group to build observability, metrics, and AI-driven tools that measure and improve developer productivity and the software development lifecycle at MongoDB. Requires 8+ years software engineering experience and 4+ years managing engineers.

## Job Description

## Responsibilities
- 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 by delivering systems, analytics, and reporting 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 by partnering 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.

## Requirements
- 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation (required for external candidates, preferred for internal).
- 8+ years of hands-on software engineering experience building and operating production systems.
- Demonstrated 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.
- 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.
- Track record of building inclusive, high-performing teams.

## Nice-to-Haves
- Experience in developer tooling, platform engineering, observability, or data engineering.

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