Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web.
Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things.
We’re looking for a Media Engineer (Social) to own and grow Vercel’s presence across X, TikTok, Instagram, and LinkedIn. You will move quickly, test ideas in public, and build systems that scale content and distribution. You will shape how developers discover and understand Vercel.
What You Will Do:- Own day-to-day execution across Vercel’s social channels
- Define and run a cohesive, cross-platform strategy
- Ship high-quality content at a high cadence
- Test formats, trends, and distribution tactics continuously
- Use AI tools to speed up creation, editing, and iteration
- Build simple systems or scripts to improve publishing and growth
- Track performance and adjust quickly based on data
- Partner with product, marketing, and developer relations
- Turn moments in tech, AI, and developer culture into content
- Evolve Vercel’s voice and brand across platforms
- 3–5+ years growing social accounts, ideally in tech or startups
- Strong taste and intuition for internet and developer culture
- Clear track record of audience growth and engagement
- Comfortable shipping content daily
- Experience across formats including video, threads, and visuals
- Familiar with AI tools for content creation and automation
- Comfortable building or hacking together tools and workflows
- Strong writing and storytelling skills
- Uses data to guide decisions and experiments
- Experience with developer audiences or technical products
- Basic coding or scripting experience
- Experience with APIs or automation tools
- Personal content or social presence
- Experience in fast-growing companies
- Competitive compensation package, including equity.
- Inclusive Healthcare Package.
- Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
- Flexible Time Off.
- We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $168,000 - $210,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Top Skills
Vercel San Francisco, California, USA Office

San Francisco, California 94133, UaS, San Francisco, CA, United States, 94133
Similar Jobs at Vercel
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


