The job, in the employer's words
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma'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.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What 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
- 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
We'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
- 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
While not required, it’s an added plus if you also 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
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
- Holding interviews in an accessible location
- Enabling closed captioning on video conferencing
- Ensuring all written communication be compatible with screen readers
- Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
- Candidates may submit up to 5 applications during any rolling 30-day period.
- Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Requirements mentioned
- 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
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.