Manager, Software Engineering - Production Engineering

Figma’s Production Engineering team embeds with product and platform teams to help them deliver reliable products faster. The Engineering Manager sets team strategy and priorities, guides delivery and production improvements, and develops engineers.

Responsibilities:

• Coach and develop production engineers, including experienced technical leaders, through direct feedback and opportunities to shape technical strategy and lead work across teams
• Set priorities and guide delivery for the team’s embedded work with Figma’s product and platform organizations. Align partners on outcomes, responsibilities, and tradeoffs, and resolve competing demands
• Guide improvements to observability, incident response, and production tooling that reduce recurring toil, surface actionable signals, and make services easier for product teams to understand and operate
• Partner with engineers on long-term technical direction, design, and production reviews, supporting their ownership of technical decisions and holding the team accountable for delivery
• Anticipate reliability and scaling challenges alongside partner-team leaders, and prioritize improvements that support upcoming product goals
• Turn lessons from work with product teams and production incidents into reusable tools and practices that strengthen partner teams’ ownership and make on-call more sustainable

Requirements:

• Experience managing engineering teams and developing senior engineers, helping them grow their technical judgment, leadership, and impact
• Experience building and operating complex software systems at scale, with the technical judgment to guide decisions across the stack and learn unfamiliar systems
• Experience leading complex initiatives across engineering teams and cross-functional partners, earning trust beyond your reporting line, resolving competing priorities, and delivering shared business goals
• Sound judgment about reliability, security, and sustainable operations, with clear communication and respect for engineers' technical ownership
• Experience building shared reliability platforms, observability or distributed tracing systems, or tooling that reduces toil across multiple engineering teams
• Familiarity with traffic management, service discovery or service meshes, container orchestration, infrastructure as code, or capacity and performance engineering
• Experience improving incident response processes and reducing on-call burden