onepet
Total Vet Social Media Manager
League City, TX · Part-time
Sponsorship not specified$10k-$15kDetected 6 days ago
A/B TestingSocial Media MarketingForecastingVideo ProductionResearchCommunicationOrganizational Skills
About the role
- OnePet is a family of pet brands built for the modern pet parent, helping people find, trust, and buy the best products and services for their animals.
- We operate across media, digital services, and commerce, and we're united by one belief: pets deserve better.
- PART-TIME CONTRACTOR ROLE 10-15 HOURS PER WEEK!
Responsibilities
- Proven success growing social channels and building engaged communities.
- Comfortable analyzing data and using insights to drive strategy.
- What Success Looks Like: Consistent growth in engagement, followers, and organic reach Increasing affiliate-driven revenue and creator participation Content that resonates with pet parents and drives trust in the Total Vet brand Reliable execution, creative experimentation, and continuous optimization
- The Total Vet Social Media Manager will own and execute organic social strategy for Total Vet.
- This person will plan content, manage calendars, create and publish posts, partner with creators and internal teams, and oversee community interactions across platforms (Instagram, TikTok, and emerging channels).
- We're building a portfolio of at-home tests spanning DNA, allergy, microbiome, and beyond, all designed to help pets live longer, healthier lives.
Requirements
- Strong expertise in short-form video content (TikTok, Reels), trend forecasting, and storytelling.
Nice to have
- Passion for pets is a strong plus!
Compensation
- $10k-$15k
Benefits
- Total Vet, a brand under the OnePet family, is on a mission to put veterinary-grade health testing in the hands of every pet parent with no clinic visit required.
Company info
- This role is responsible for driving community growth, engagement, brand consistency, and storytelling across multiple social platforms.
This listing is sourced directly from onepet's careers page and normalized into a canonical job model.