Jobs / United States / Figma INC
Support Engineer, AI Infrastructure & Tooling
Figma INC · 🇺🇸 San Francisco, CA • New York, NY • United States
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 67 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 10 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Figma INC paid sponsored hires in similar roles16 certified filings for “Software Engineer” (Software Developers) in CA: $190k–$240k, median $219k. Most were filed at wage level III (47%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Figma INC
The US Department of Labor certified 67 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 10 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Figma INC →
About the role
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 is evolving the Product Support experience, powered by AI, automation, and integrated systems. The AI Infrastructure & Tooling team helps make that possible by building intelligent, resilient, and integrated solutions that automate workflows, connect systems, and streamline support operations. As a Support Engineer, AI Infrastructure & Tooling on this team, you'll be the technical execution layer that brings our support tools, customer and account context, internal systems, and AI workflows together. You'll design, build, and operationalize integrations across systems like Decagon, Zendesk, Figma admin tooling, and adjacent Product Support platforms. Your work will help us bring the right context into customer conversations, automate complex workflows, and optimize both the customer and Specialist experience by applying AI where it can meaningfully improve support workflows, quality, and efficiency. This role is ideal for someone who can move from ambiguous support problems to working technical solutions: understanding the workflow, identifying the systems involved, building the integration or automation, validating the data flow, and measuring the impact on customer outcomes and Specialist efficiency. 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: • Build and operationalize AI-powered workflows that improve Product Support experiences for customers and internal support teams • Design and maintain integrations across Decagon, Zendesk, Figma admin tooling, internal data sources, and adjacent Product Support platforms • Bring relevant customer, account, product, billing, file, or admin metadata into support conversations so chatbots and Specialists have the context they need to resolve issues more effectively • Use LLMs and AI patterns for classification, summarization, routing, recommendations, context enrichment, and workflow automation • Partner with Engineering, Analytics, Security, Programs, Support, and vendor teams to align on requirements, implementation, governance, and rollout • Build quality checks, monitoring, fallback paths, and operational guardrails so AI-powered workflows can be trusted in production • Define success metrics for each workflow, track adoption and impact, and iterate based on customer outcomes, Specialist efficiency, and adoption We’d love to hear from you if you have: • 3+ years of experience shipping integrations, automations, or internal tools across customer-facing operational systems • Strong proficiency in modern back-end technologies and languages (e.g., Ruby, Python, Go, C++, PostgreSQL), with hands-on experience building APIs, implementing webhooks, orchestrating data flows, and integrating systems across complex workflows. • Hands-on experience with LLM-powered workflows, AI automations, or AI-enabled customer/support experiences, including working with operational data to debug issues, improve workflows, and measure impact • Strong product and stakeholder instincts: you can translate ambiguous support problems into practical, adopted, and measurable technical solutions • Proven track record of designing AI workflows with clear guardrails, fallback paths, and responsible deployment practices While it’s not required, it’s