The vacancy is well-structured with clear responsibilities and requirements, but lacks some details on tools and payment terms.
Job description
Aurora Labs is an AI studio that launches and manages high-tech projects end-to-end.
Responsibilities
▪️ Personally test and build the influencer acquisition pipeline (sourcing, initial outreach, converting to partnerships)
▫️ Design, run A/B tests, and optimize communication flows (initial cold messages, follow-ups, offers) to max out conversion rates
▫️ Oversee account management, including technical setup and ongoing support of social media accounts (proxies, multi-account infrastructure)
▫️ Create simple content strategies and visual positioning profiles for social selling
▫️ Personally secure key partnerships and close high-value deals on the market
▫️ As the channel grows: onboard, train, and manage a team of junior outreach managers (setting tasks, tracking performance, and analyzing results)
Requirements
▪️ Proven, strong background in cold outreach, sales, and negotiations
▫️ Hands-on technical understanding of social media operations (account registration, proxy types, session management, avoiding bans)
▫️ Experience or strong capability to build processes from scratch (especially in influencer-driven networks, MLM, fintech, or AI environments)
▫️ Natural leadership potential and readiness to train and manage a team of 10+ people in the near future
▫️ High level of proactivity and a problem-solving mindset
▫️ Exceptional, fluent English (clear communication is our key priority)
Conditions
▪️ Full-time, remote position with massive career upside (Direct track to Head of Department)
▫️ High level of autonomy in decision-making and process building
▫️ Fast-paced startup environment with zero bureaucracy
▫️ Supportive and open-minded founders
▫️ Compensation: solid fixed salary (from $2k) + performance-based percent.
About Aurora Labs
Aurora Labs is a software company focused on execution-aware AI for software teams, offering its LOCI platform to analyze binaries, detect regressions, and improve code quality, power, latency, and bug identification. Its product targets embedded systems, AI, data center, and other complex software environments, with a specialization in a proprietary large code language model (LCLM).