{"schemaVersion":"jobsearcher.job.v1","id":"89f4adea9ce6136c09375c92","url":"https://jobsearcher.com/jobs/89f4adea9ce6136c09375c92","canonicalUrl":"https://jobsearcher.com/jobs/89f4adea9ce6136c09375c92","title":"Manager, Software Engineering - DevEx AI Tools","description":"About the Role\r\nFigma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers.\r\nThis is a full time role that can be held from one of our US hubs or remotely in the United States.\r\nWhat you’ll do at Figma: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\r\nOwn the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows\r\nHire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up\r\nDrive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization\r\nPartner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption\r\nEvaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy\r\nEstablish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization\r\nCoach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality executionWe'd love to hear from you if you have:3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems\r\nStrong 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\r\nDemonstrated 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\r\nExperience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments\r\nAbility to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainabilityWhile not required, it’s an added plus if you also have:Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows\r\nFamiliarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations\r\nExperience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation\r\nBackground in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments\r\nExperience building evaluation and quality frameworks for AI-generated outputs#J-18808-Ljbffr","company":"Gravity Engineering Services","rawCompany":"gravity engineering services","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-02T01:33:31.649Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"11-9041.00","title":"Architectural and Engineering Managers","slug":"architectural-and-engineering-managers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Manager, Software Engineering - DevEx AI Tools","description":"About the Role\r\nFigma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers.\r\nThis is a full time role that can be held from one of our US hubs or remotely in the United States.\r\nWhat you’ll do at Figma: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\r\nOwn the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows\r\nHire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up\r\nDrive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization\r\nPartner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption\r\nEvaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy\r\nEstablish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization\r\nCoach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality executionWe'd love to hear from you if you have:3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems\r\nStrong 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\r\nDemonstrated 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\r\nExperience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments\r\nAbility to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainabilityWhile not required, it’s an added plus if you also have:Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows\r\nFamiliarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations\r\nExperience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation\r\nBackground in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments\r\nExperience building evaluation and quality frameworks for AI-generated outputs#J-18808-Ljbffr","datePosted":"2026-07-02T01:33:31.649Z","dateModified":"2026-07-02T01:33:31.649Z","hiringOrganization":{"@type":"Organization","name":"Gravity Engineering Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"89f4adea9ce6136c09375c92"},"url":"https://jobsearcher.com/jobs/89f4adea9ce6136c09375c92"}}