Peec AI

Peec AI

Events & Experiences Producer

New York City

Sponsorship not specified$100k-$150kDetected 2 days ago
SEOLogistics

About the role

  • We're looking for an Events & Experiences Producer to bring the Peec brand to life through unforgettable real-world moments.

Responsibilities

  • Own Peec's events strategy and production in New York and the U.S., turning our brand into standout real-world presence
  • Conceptualize and produce bold, high-quality experiences end-to-end - from curated partner dinners to high-visibility brand activations
  • Manage every layer of production: venues, vendors, budgets, timelines, logistics, and on-the-day delivery
  • Build the partnerships and relationships that make each event sharper, bigger, and more memorable
  • Work closely with Growth and Marketing to ensure every event drives brand depth, pipeline, and measurable impact
  • Strong creative instinct with taste for beautifully designed, memorable experiences
  • High ownership and operational excellence - you manage vendors, budgets, logistics, and deliver flawlessly under pressure

Requirements

  • 3+ years of experience producing events, brand activations, or experiential marketing - ideally in B2B SaaS or a fast-growing startup
  • Natural relationship builder - you are comfortable hosting founders, operators, and senior marketers
  • Strong understanding of how events translate into real business impact
  • Proven track record of owning conference presence end-to-end and turning it into measurable pipeline
  • Experience producing premium dinners, summits, or invite-only formats from scratch

Skills

  • About Peec AI

Compensation

  • The salary range for this position is $100,000 to $150,000.
  • 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.

Company info

  • What We're Looking For

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