Automations & AI Specialist, Product Support

Figma Figma · Enterprise · United States · Product Support

This role focuses on implementing and iterating on AI-powered support solutions, including customer-facing chatbots and internal support tooling, to improve customer experience and specialist efficiency within a Product Support Operations and Strategy team. It involves leveraging AI to optimize chatbot performance, implement internal AI tools, and drive automation across systems and processes, partnering closely with Engineering and other teams.

What you'd actually do

  1. Design, implement, and iterate on AI-powered support solutions that improve customer experience and Specialist efficiency across Product Support
  2. Own and evolve AI-driven workflows, including customer-facing chatbots and internal support tooling, using data, experimentation, and feedback to guide improvements
  3. Improve workflows and automation across Zendesk and the broader Product Support tech stack, activating underutilized capabilities within existing tools
  4. Analyze data, metrics, and user feedback to identify patterns, opportunities, and areas for optimization across support systems
  5. Partner closely with Engineering, Internal Tools, Analytics, Programs, and Support teams to design and deliver scalable, well-integrated solutions

Skills

Required

  • Experience implementing AI, automation, or support tooling solutions in a Customer or Product Support environment
  • Hands-on experience with AI-powered support tools such as chatbots, agent efficiency workflows, automation, or similar technologies
  • Experience working with Zendesk, including workflows, business rules, or integrations
  • Strong analytical and problem-solving skills, with experience using data to inform decisions and improvements
  • Proven ability to partner with technical and non-technical teams to deliver system or tooling changes
  • Excellent communication skills and comfort working across multiple stakeholders

Nice to have

  • Experience with additional support platforms such as Sprinklr, Gainsight, Maestro QA, Assembled, Salesforce, or similar systems
  • Experience with agent assist, copilot tools, or other AI-driven internal support tooling
  • Background in Support Operations, Systems Architecture, Product Management, or UX
  • Experience with experimentation frameworks, SQL, BI tools, or data analysis
  • Programming or scripting experience related to automation or integrations

What the JD emphasized

  • 3+ years of experience implementing AI, automation, or support tooling solutions in a Customer or Product Support environment
  • Hands-on experience with AI-powered support tools such as chatbots, agent efficiency workflows, automation, or similar technologies

Other signals

  • AI-powered support solutions
  • customer-facing chatbots
  • internal support tooling
  • AI and tooling strategy