Enterprise Customer Support Specialist

Perplexity AI

$80K — $95K *
US-AnywhereRemote in United States
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in B2B enterprise customer support with exposure to U.S. and E.U. markets
  • Hands-on experience with large-language models and AI fundamentals
  • Ability to simplify technical concepts for non-technical users
  • Strong critical thinking and prioritization skills
  • Proficiency with support platforms like Intercom, Zendesk, Jira
  • Exceptional written and spoken English; business-level fluency in another language is preferred
  • Passion for continuous learning and ownership in ambiguous situations

Responsibilities

  • Work directly with enterprise customers to resolve complex technical issues via multiple communication channels
  • Utilize AI tools to offer scalable, personalized support solutions
  • Cultivate strong relationships with Enterprise users and gather feedback for product improvements
  • Manage comprehensive troubleshooting processes and communicate effectively with customers
  • Develop and maintain user guides, FAQs, and internal documentation
  • Track support KPIs and propose data-driven improvements
  • Participate in an on-call rotation for global support coverage

Benefits

  • Opportunity to advocate for high-profile enterprise customers
  • Work in a fast-paced tech environment with cutting-edge AI products
  • Collaborative culture emphasizing customer feedback in product development
  • Chance to create scalable support solutions using innovative automation
  • Exposure to international markets and diverse customer challenges
  • Support for ongoing training and professional development
  • Flexible working arrangements, including remote options
Full Job Description
We are looking for an experienced Enterprise Customer Support Specialist who can marry deep product expertise with a passion for scaling world-class support through automation. You will be the primary advocate for our Enterprise Pro customers, helping them maximize value, troubleshooting complex issues, and feeding their insights straight into future product development.

Responsibilities
  • 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.
  • 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.
  • Build durable relationships with Enterprise users, advising on best practices, capturing structured feedback, and championing customer needs in roadmap discussions.
  • Own end-to-end troubleshooting: reproduce issues, isolate root causes, collaborate with engineers, and communicate clear, low-jargon explanations.
  • Design and maintain detailed use-case flows, playbooks, and internal runbooks that empower teammates and customers to solve recurring challenges faster.
  • Create and update external documentation (FAQs, help center, guides, tutorials) and internal knowledge bases to ensure information is discoverable and up-to-date.
  • Track and report support KPIs (response time, CSAT, resolution rates) and propose data-driven process improvements.
  • Participate in an on-call rotation-including some holidays or weekends-to guarantee timely global coverage.

Requirements
  • 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; business-level fluency in at least one additional language such as Spanish, French, or German is strongly preferred.
  • Passion for continuous learning, high ownership, and a "do-what-it-takes" mindset in ambiguous situations.

Bonus Points
  • 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.

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