[Remote] Support Engineer, AI Infrastructure

Overview

As a Support Engineer, AI Infrastructure, you will enhance support tools and workflows using AI.

Responsibilities

• 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
• 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

Qualifications

• Familiarity with agent assist tooling, AI support chatbots, copilot tooling, RAG, AI observability, or monitoring AI workflows in production
• Background in Support Engineering, Internal Tools Engineering, Solutions Engineering, Support Operations, CX Systems, or Business Systems
• Familiarity with customer support metrics such as containment, deflection, CSAT, first contact resolution, routing accuracy

Benefits

• Equity to employees
• Health, dental & vision
• Retirement with company contribution
• Parental leave & reproductive or family planning support
• Mental health & wellness benefits
• Generous PTO
• Company recharge days
• A learning & development stipend
• A work from home stipend
• Cell phone reimbursement
• Sales incentive pay for most sales roles
• An annual bonus plan for eligible non-sales roles
• Figma is a collaborative design tool that enables teams to create, prototype, and test digital products on one platform. It was founded in 2012, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.figma.com.
• Figma has a track record of offering H1B sponsorships, with 25 in 2026, 47 in 2025, 27 in 2024, 32 in 2023, 35 in 2022, 16 in 2021, 6 in 2020. Please note that this does not guarantee sponsorship for this specific role.