Sundaysfordogs

Sundaysfordogs

Full Stack Content Strategist

Highland Heights, OH · Full-time

Sponsorship not specified$24k-$48kDetected 19 hours ago
Full-Stack DevelopmentAfter EffectsMeta AdsPhotography

About the role

  • About Sundays for Dogs Sundays for Dogs is a founder-led, direct-to-consumer brand reimagining pet food so dog owners can spend more quality time with their dogs - now and later.
  • We're headquartered in Cleveland, Ohio, with a primarily remote team of ~50 full-time employees across the U.S. While we work distributed day to day, we come together in person on a quarterly basis because relationships matter.
  • Being on the ground in Cleveland means you'll have direct access to our product, our dogs, and the people behind the brand - which makes the content better.

Responsibilities

  • We make human-grade, air-dried food that supports long, healthy lives, and we build our company around shared core values that guide how we work and how we treat each other.
  • Working closely with Creative, Growth, and our in-house team, you'll concept within a given strategy, film, edit, and deliver multiple versions of high-performing creative designed for Meta, TikTok, Instagram Reels, and YouTube Shorts.
  • You'll understand what makes someone stop scrolling, how to write compelling hooks, and how to create content that feels native to each platform rather than overly produced.
  • First 30 days: Complete onboarding and independently deliver first 10 paid assets, then produce 15-20 finished paid assets (with multiple hooks/variations) from one full creative sprint - turning around first-round creative within 48 hours on 90% of assignments.

Compensation

  • $24k-$48k

Company info

  • Our business today is 100% DTC, with our subscription model at the core of how we serve customers - and we're building to scale with intention.
  • We're looking for a creative, self-motivated Full Stack Content Strategist to join our Creative team in Cleveland.

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