Social Media Lead
AI app builder that turns natural-language prompts into full-stack web applications.
Maintainer signals as of 8/14/2026
Stockholm, Sweden
About Lovable
Lovable (lovable.dev) is a Swedish AI software-builder platform: users describe an app in natural language and Lovable generates production full-stack code — one of the fastest-growing AI products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead a social media team while creating product-focused content yourself. You will define channel strategy, manage launch and ongoing content, write accessible technical copy, collaborate on visual assets, partner with Product Marketing and Product, track performance, and improve future campaigns.
Requirements
- 12+ years of experience in social media
- At least 2 years of experience managing a team
- Strategic understanding of channel-specific content
- Product marketing aptitude
- Technical communication skills for developer and general audiences
- Ability to create product visuals or brief creative teams
- Experience working cross-functionally with Product Marketing, Product, and Creative
- Understanding of X and LinkedIn platform dynamics
- Portfolio of shipped product social content
- Experience using Lovable
- Based in Stockholm or ready to relocate
Responsibilities
- Manage and grow the social media team
- Establish social media channel strategy
- Give feedback and review work
- Prioritize workload across launches, ongoing content, and community engagement
- Build a product content cadence and format library
- Report on and own team metrics
- Own product social media content for launches, features, education, and behind-the-scenes work
- Write accessible copy about technical concepts
- Work with Creative on launch videos and static assets
- Partner with Product Marketing and Product on announcements
- Increase product usage and credibility among developer and general audiences
- Track content performance and apply learnings to future launches
