Enterprise Customer Support Specialist

Perplexity Perplexity · AI Frontier · San Francisco, CA · Customer Success & Support

This role supports enterprise customers of an AI-powered answer engine, focusing on maximizing value, troubleshooting complex issues, and leveraging AI tooling for support automation. The goal is to scale world-class support through automation and agentic solutions, feeding customer insights into product development.

What you'd actually do

  1. Work directly with enterprise customers—via tickets, Slack, and sometimes calls—to diagnose and resolve their most complex technical and product questions, acting as the “last line of defense” before Product and Engineering step in.
  2. Leverage Perplexity’s own AI tooling and workflow automations to democratize world-class support at scale, continuously identifying opportunities to replace repetitive tasks with agentic, self-service solutions that feel personalized.
  3. Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions.
  4. Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations.
  5. Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster.

Skills

Required

  • Minimum 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets, or similar fast-paced tech environments.
  • Hands-on experience prompting large-language models, plus a solid grasp of AI fundamentals (tokens, context windows, embeddings, latency vs. cost trade-offs, etc.).
  • Ability to translate complex technical concepts—APIs, SSO/SAML, cloud integrations—into clear, actionable guidance for non-technical stakeholders.
  • Demonstrated strength in critical thinking, rapid context-switching, and ruthless prioritization when juggling multiple escalations
  • Proficiency with modern support platforms (Intercom, Zendesk, Jira) and basic data-analysis tools (e.g., SQL, Looker, Snowflake).
  • Exceptional written and spoken English

Nice to have

  • business-level fluency in at least one additional language such as Spanish, French, or German
  • Prior experience supporting AI, search, or knowledge-management products.
  • Familiarity with payment platforms (Stripe), enterprise identity (SSO/OAuth), and API integrations.
  • Knowledge of enterprise cloud-storage ecosystems (Google Drive, SharePoint, Dropbox) and data-governance best practices.

What the JD emphasized

  • complex technical and product questions
  • complex technical concepts
  • complex technical concepts