Platform Engineering Manager

Role Description

We are looking for a Platform Engineering Manager with a strong hands-on engineering background to lead and grow a team of platform engineers focused on developer experience and productivity—enabling engineers to ship high-quality software quickly, safely, and at scale. You will lead by example, champion an AI-forward engineering culture, and mentor your team while contributing to and driving roadmaps for efficient CI/CD pipelines, developer workflows, and AI-powered platform tooling.

• Lead a platform engineering team, contributing to and driving roadmaps for efficient CI/CD pipelines, developer workflows, and internal developer tooling.
• Build and curate a "one-stop shop" developer experience by integrating tooling and capabilities from across platform (SRE) groups into a single, self-service interface.
• Own capacity planning and define right-sized architecture patterns and templates that let engineering teams move and ship confidently.
• Lead development of AI-powered platform tooling, including agent-based workflows and automation that streamlines recurring SRE/support workflows.
• Partner with Engineering, Infrastructure, Security Engineering, and Product to synthesize requirements and prioritize platform investments.
• Coach and develop engineers, fostering a high-accountability, inclusive culture of end-to-end ownership and fast iteration.
• Communicate effectively with technical and non-technical stakeholders, adjusting your approach as needed.

Qualifications

• 1-2 years of experience directly managing software engineers or serving in a technical program management role.
• 3-5 years of hands-on software engineering experience (e.g., Go, Python) building developer productivity tools or internal developer platforms.
• Experience with capacity planning or designing right-sized architecture patterns and templates.
• Familiarity with SRE practices, with the ability to translate that knowledge into tooling and automation.
• Experience leading teams in a high-velocity, iterative environment.
• Experience leading or working with globally distributed engineering teams across multiple time zones.
• Strong communication skills and the ability to operate calmly in complex situations.

Requirements

• Experience using AI tools for planning and execution.
• Familiarity with AI-assisted coding tools such as GitHub Copilot or Cursor.
• Comfort using AI to support day-to-day management and program management work.
• Familiarity with large language model APIs and agent-based workflows.

Benefits

• Opportunities for growth, learning, and building community.
• A "work from anywhere" culture celebrating diversity in a distributed environment.