Чтобы адаптировать резюме под вакансию или составить сопроводительное письмо, загрузи резюме
О рекламодателе
ОБЩЕСТВО С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ "ЦЕНТР НАЦИОНАЛЬНЫХ ИНТЕЛЛЕКТУАЛЬНЫХ СИСТЕМ" ИНН: 9704271170
описание
Lovable is a software creation platform that enables people to turn ideas into software. Since its launch in November 2024, users from solopreneurs and small business owners to teams at companies such as Adidas and Zendesk have built over 60 million projects on the platform. Lovable is building a company from Stockholm, with growing teams in London, Boston, New York, and San Francisco.
*Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ
задачи
Run paid social end to end, owning Meta as a core channel and setting account structure, audiences, bids, budgets, and targets
Test new social channels, including TikTok, Snap, Reddit, and others, then scale or stop them based on results and efficiency
Build agents and automations with Lovable to monitor performance, pace and shift budgets, flag issues such as creative fatigue, and make changes
Maintain a steady supply of fresh, varied creative assets and work with the creative team and creative strategist to select, iterate, or retire concepts
Build and debug tracking, including Meta CAPI, TikTok Events API, pixels, consent, and deduplication
Write queries to evaluate channel incrementality using lift tests and holdouts rather than relying only on platform-reported ROAS
Run tests on audiences, placements, and creative, and build most of the paid social program directly
требования
7+ Years running paid social
Experience owning significant Meta budgets and running or testing at least one other social channel
Experience building automations for reporting, budget pacing, or optimization; comfortable with platform APIs and retrieving data independently
Strong creative judgment, ability to brief and iterate with creative teams, and experience maintaining a high-volume, diversified pipeline across UGC, creator content, static, and video
Experience scaling a paid social channel from small to large while maintaining efficiency
Ability to evaluate growth using CAC and payback and distinguish efficient growth from spend that only appears to drive growth
Experience designing and evaluating channel tests with clear hypotheses, sufficient budgets, and timely scale-or-stop decisions
Hands-on approach and willingness to build and deliver the work independently
Uses AI regularly, is comfortable building agents, and is ready to use Lovable to build tools for the role
Strong depth in at least one of data analytics, data engineering, or tracking and measurement; comfortable with the other areas and able to deliver the work independently