Peec AI

Peec AI

Customer Experience Associate

New York City

Sponsorship not specified$60k-$75kDetected 49 days ago
SEOCustomer SuccessCustomer SupportCommunication

About the role

  • We're looking for a Customer Experience Associate to help ensure every Peec AI customer has an exceptional experience using our platform.
  • You'll be the first point of contact for users, answering questions, solving problems, and helping customers get the most value from Peec AI.
  • It's a great opportunity for someone early in their career who enjoys helping people, learning quickly, and taking ownership in a fast-moving startup environment.

Responsibilities

  • Help design and scale our CX process - from building out a help center to improving in-app onboarding
  • Support the launch of customer initiatives like events, webinars, and AMA sessions to engage and grow our user community
  • Familiarity with help desk systems, onboarding flows, or community-building
  • Exposure to AI / SEO / growth tooling or customer support automation

Requirements

  • Experience with SaaS, B2B software, or marketing/SEO tools
  • Experience working in a high-growth, venture-backed startup environment

Compensation

  • The base salary range for this position is $60,000 to $75,000 annually.
  • Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Benefits

  • Competitive salary + equity
  • Comprehensive benefits package
  • 1-2 years of Customer Success or Support experience, ideally at a fast-growing startup

Company info

  • Be the first point of contact for our customers: answering questions, sharing advice, solving problems, and keeping satisfaction sky-high
  • In this role, you'll work closely with customers, product, and engineering teams to improve support, shape onboarding, and help scale our customer experience as we grow.

Equal opportunity

  • Equal Opportunity Employer.

This listing is sourced directly from Peec AI's careers page and normalized into a canonical job model.