AnyRoad

AnyRoad

Marketing Acquisition Lead

San Francisco, CA · Exec

Sponsorship not specifiedDetected 85 days ago
Full-Stack DevelopmentCRMCommunication

About the role

  • We're looking for someone who lives in the Americas with strong overlap with US business hours, and who can travel occasionally for client meetings.

Responsibilities

  • Comfortable in client-facing environments interacting with brand partners and representing AnyRoad in strategic conversations
  • This is a high-impact, hands-on role for a full-stack marketer who can design campaigns, execute quickly, and continuously optimize performance.
  • Reporting to the Chief Product Officer, you'll work directly with our executive and creative teams, interface regularly with brand partners, and have the opportunity to make a significant impact at a thriving startup.

Requirements

  • Proven experience running email and SMS campaigns end-to-end
  • Experience testing and scaling multiple acquisition channels (social, influencer, etc.) and campaigns simultaneously
  • Experience using AI tools regularly in your workflow (content, analysis, automation)

Nice to have

  • 3-5 years of experience in marketing with a focus on user acquisition
  • Familiarity with modern marketing stacks (CRM, automation tools, attribution, etc.).
  • Klaviyo experience a plus.

Benefits

  • Backed by the world's leading investment firms (A16Z, Blackrock), the platform streamlines experiential operations through a flexible and customizable system, providing powerful analytics to fuel business growth.

Company info

  • What We're Looking For:
  • AnyRoad is the leading experiential marketing platform that empowers brands to optimize events, tours, activations, and classes, driving brand loyalty, revenue, and measurable ROI.
  • We're hiring a Marketing Acquisition Lead for our loyalty platform to help brands launch, manage, and grow their own loyalty, engagement, and membership programs.

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