MongoDB

2 days ago

Senior Engineering Manager, Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Lead engineering teams focused on developer productivity and measurable improvements to the software development lifecycle. Own observability and metrics infrastructure within the AXIS team, using analytics, pipelines, and reporting to improve engineering visibility and decision-making. Evaluate and build AI-enabled interfaces and tools that enhance engineer productivity with responsible rollout. Partner across Engineering and Data leadership to define a 12-month roadmap and deliver outcomes across adoption, reliability, and developer experience.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Provide technical leadership and mentorship to a team of engineers, fostering innovation, quality, collaboration, and continuous improvement.
•Improve engineering visibility and decision-making by delivering systems, analytics, and reporting for the software development lifecycle.
•Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements with measurable impact and responsible rollout.
•Drive the 12-month roadmap by partnering with Staff and Senior Staff ICs, TPMs, and stakeholders to balance near-term delivery with long-term platform investment.

Pay and Benefits

Salary: USD 151,000 - 297,000 annually

Perks:EquityPaid LeaveParental Leave401kHealth Insurance

Key Requirements

•4+ years managing software engineers, including hiring, performance management, growth planning, and compensation.
•8+ years of hands-on software engineering building and operating production systems, with experience in developer tooling, platform engineering, observability, or data engineering.
•Ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision.
•Experience working with analytics, data pipelines, and metrics platforms.
•Experience with AI tools development and enablement, plus strong technical judgment on tradeoffs and risks.

Experience:Production systemsDeveloper toolingPlatform engineeringObservabilityData engineeringAnalyticsData pipelinesMetrics platformsAI enablement

Skills:LeadershipCommunicationCollaborationTechnical judgmentCustomer orientation

Languages:English

Tech Stack:MongoDB AtlasAWSGoogle CloudMicrosoft AzureAI

Company Brief

MongoDB

Develops MongoDB, a leading general-purpose, document-based database platform that enables developers and enterprises to build scalable, high-performance applications with flexible data models and cloud-native capabilities.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn

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MongoDB

2 days ago

Senior Engineering Manager, Developer Productivity

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Provide technical leadership and mentorship to a team of engineers, fostering innovation, quality, collaboration, and continuous improvement.
•Improve engineering visibility and decision-making by delivering systems, analytics, and reporting for the software development lifecycle.
•Evaluate, integrate, and build AI-enabled interfaces and tools that drive engineer productivity improvements with measurable impact and responsible rollout.
•Drive the 12-month roadmap by partnering with Staff and Senior Staff ICs, TPMs, and stakeholders to balance near-term delivery with long-term platform investment.

Pay and Benefits

Salary: USD 151,000 - 297,000 annually

Perks:EquityPaid LeaveParental Leave401kHealth Insurance

Key Requirements

•4+ years managing software engineers, including hiring, performance management, growth planning, and compensation.
•8+ years of hands-on software engineering building and operating production systems, with experience in developer tooling, platform engineering, observability, or data engineering.
•Ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision.
•Experience working with analytics, data pipelines, and metrics platforms.
•Experience with AI tools development and enablement, plus strong technical judgment on tradeoffs and risks.

Experience:Production systemsDeveloper toolingPlatform engineeringObservabilityData engineeringAnalyticsData pipelinesMetrics platformsAI enablement

Skills:LeadershipCommunicationCollaborationTechnical judgmentCustomer orientation

Languages:English

Tech Stack:MongoDB AtlasAWSGoogle CloudMicrosoft AzureAI

Company Brief

MongoDB

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: New York, United States

Founded: 2007

Glassdoor: 4.1

Website LinkedIn