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Manager, Software Engineering - DevEx AI Tools

Canada🌐 Remote💼 Full-time💰 $258,000–$258,000🗓 2026-06-03 → 2026-07-31

Core

Building AI-powered developer workflows, cloud agents, and platform tooling to increase engineering productivity at Figma.

Role type

Manager, Software Engineering (DevEx AI Tools)

Builds

AI developer workflows, cloud agent platform, sandbox runtime, and workflow orchestration systems for Figma's engineering organization.

Domain

Developer Experience (DevEx), Artificial Intelligence, Cloud Infrastructure

Deliverable

production ML models | infrastructure | product features

Required skills

Team leadership and scaling, distributed systems architecture, AI/ML systems and LLM-based workflows, agentic system design, technical strategy and roadmap planning, cross-functional partnership, evaluation framework design

Preferred skills

AI developer tooling and agent platform experience, agent frameworks (Cursor, Claude Code, MCP), workflow orchestration (Temporal, n8n), DevEx platforms (CI/CD, monorepos), AI output quality evaluation

Technologies

LLMs, cloud agents, sandbox runtime, Temporal, n8n, Bazel/Blaze, MCP

Responsibilities

Lead and grow the team of engineers building AI developer workflows; Own technical strategy for AI Developer Experience; Drive reliability and scalability of the cloud agent platform; Partner with product engineering and security to drive AI adoption; Evaluate and integrate emerging AI tools and agent frameworks; Establish evaluation frameworks for AI-generated code quality and impact; Coach and mentor engineers on career development and technical leadership.

Rewrite
## Responsibilities - Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them - Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows - Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up - Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization - Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption - Evaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy - Establish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization - Coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality execution ## Requirements - 3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems - Strong software engineering background, with Staff-level or above technical depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale - Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems - Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments - Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability ## Nice to Have - Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows - Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations - Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation - Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments - Experience building evaluation and quality frameworks for AI-generated outputs ## Benefits At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
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