BrightIT
Social Media Manager (iGaming)
Toronto, Ontario
Sponsorship not specified$90k-$115kDetected 9 days ago
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About the role
- Location: Toronto, Ontario (In-Office) (King & Spadina) Work Schedule: Monday - Friday Salary Range: $90,000 - $115,000 AI Disclosure: We do not use artificial intelligence to screen, assess, or select applicants for this position.
- Vacancy Status: This posting is for an existing vacancy at our Toronto office.
- BrightIT is a high-velocity tech hub focused on delivering world-class digital solutions for the iGaming sector.
Responsibilities
- Develop, plan, and schedule high-impact organic content across various platforms (Facebook, Instagram, TikTok, YouTube, X).
- Manage multiple posting calendars simultaneously, ensuring consistent and timely delivery.
- Monitor organic performance metrics (reach, engagement, growth) and deliver comprehensive reports.
- Run A/B tests on formats and captions to optimize organic reach and conversion.
- Support various marketing initiatives and product launches with strategic organic amplification.
- Serve as a brand guardian, ensuring that each brand maintains its unique voice and visual identity regardless of the market.
Requirements
- Experience working within the iGaming domain (mandatory).
- 2 years of experience managing organic social media channels in a professional capacity.
- Strong ability to switch between different "brand voices" and tones quickly.
- Data-driven mindset with the ability to turn metrics into actionable creative ideas.
- Work closely with design, brand, and paid social teams to ensure a cohesive 360-degree marketing approach.
Nice to have
- additional languages are a significant plus.
- Fluency in English (mandatory)
Compensation
- $90,000 - $115,000
Benefits
- Vision: Creating a home for the brightest minds in tech to redefine the gaming landscape.
Company info
- Ensure all content is on-brand, high-quality, and tailored to the specific platform it lives on.
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This listing is sourced directly from BrightIT's careers page and normalized into a canonical job model.