Airgoods

Airgoods

Growth - Retailers

New York City · Exec

Sponsorship not specified$90k-$150kDetected 93 days ago
Agentic AIAccount ManagementCustomer SuccessCommunication

About the role

  • We started in January 2023 and have since raised $7M from top investors like Y Combinator https://www.ycombinator.com/ and Initialized Capital https://initialized.com/.
  • He also worked with Aaron at an emerging VC fund for 1.5 years of his time at Yale.
  • Grew up in Asia and Europe before moving to Milwaukee before college.

Responsibilities

  • Airgoods https://airgoods.com/ is building the future of food and beverage distribution.
  • You will be the first hire on our Retailer Growth team, building a new function that we plan to grow aggressively over the next 6-12 months, and you'll work extremely closely day-to-day with Elian (Co-Founder and COO).
  • Drive repeat ordering and increased spend through proactive outreach, recommendations, and strategic account planning
  • Build strong, authentic relationships with buyers via email, text, and calls - becoming a trusted partner in their purchasing decisions
  • You maintain high-quality, consistent communication with retailers
  • You enjoy building authentic relationships and care about helping customers' businesses succeed
  • You want to build and define a new function, not just execute within an existing playbook
  • We care deeply about what we're building and support each other through the pace.
  • A tight-knit, ambitious team building a generational company together.

Compensation

  • Unlimited PTO + two team offsites per year.

Benefits

  • 0.2% equity in Airgoods
  • Medical, dental, and vision insurance.
  • Unlimited PTO + two team offsites per year.
  • $400 / month wellness stipend to encourage you to invest in your health.
  • Commuter benefits to get you to and from the office.

Company info

  • We are a fully in-person company, with an office near Madison Square Park in New York City.

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