The vacancy is well-defined but lacks some details on compensation and company presence.
Job description
We are Aurora Labs, a studio that launches and develops full-cycle projects.
Responsibilities
• Search and hire international specialists for various company directions (marketing, outreach, community, moderators, designers, devs, growth, etc.)
• Fully communicate with English-speaking candidates
• Conduct initial screening, video interviews, and support candidates until they join the in-house team
• Form a strong candidate pipeline for the company's rapid growth
• Use modern sourcing methods: Twitter/X, LinkedIn, Discord, Telegram, Web3 communities, closed databases, networking, and other channels
• Build effective hiring funnels for different positions
• Understand the specifics of the AI/Web3 market and current trends
• Help form an international team for a global product.
Requirements
• Fluent English (spoken + written)
• Experience in the international market and hiring overseas employees
• Knowledge of AI / Web3 ecosystems
• Deep understanding of Western digital culture and the mindset of English-speaking audiences
• Ability to independently find strong Web3-native candidates
• Systematic thinking and understanding of how to build an effective recruitment process for a rapidly growing startup
• Willingness to regularly engage in video calls with candidates and represent the company on the international market.
Conditions
• Fully remote work (full-time)
• Competitive pay + bonuses for strong hires (first month salary $1250, then up)
• Fast-growing startup environment without bureaucracy
• Opportunity to transition to other product directions or new projects within the company
• Work in a trending AI niche with strong portfolio cases.
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).