Key Responsibilities:
- Coordinate projects: Partner with the Project Manager and current Project Coordinator to keep cross-functional projects on track, from requirements through delivery.
- Facilitate and communicate: Lead working sessions and meetings, follow up on action items, and clearly communicate progress to stakeholders across teams.
- Implement tools: Help implement, configure, and maintain the internal tools and workflows that support our operations.
- Build and automate: Where possible, build and improve automations using tools such as Google Apps Script, no-code/low-code platforms, and AI-powered apps to reduce manual work.
- Integrate systems: Connect the various tools and systems used across operations and other teams so data and processes flow smoothly.
- Document: Create and maintain documentation for the processes and tools you work with so they are reliable and easy to hand off.
- Maintain and improve: Monitor existing tools and automations, troubleshoot issues, and continuously improve reliability.
Required Qualifications:
- Experience in project coordination, operations, or similar role, with a track record of keeping projects and stakeholders organized.
- Based in Latin America and experienced working remotely, ideally in a startup or remote-first company — self-directed, proactive, and comfortable with the autonomy and pace remote work requires.
- Working / conversational English: Able to read, write, and hold a conversation comfortably. You do not need to be native, but you should be able to follow meetings and communicate clearly in writing.
- Strong organization, problem-solving, communication skills, and the ability to work independently.
- Genuine interest in AI and automation, and a willingness to learn new tools quickly — even if you do not have deep technical experience yet.
- Comfortable learning and working with software tools, and a collaborative mindset that complements an existing two-person team.
Nice to Have (A Strong Plus):
- Hands-on experience building automations with tools such as Google Apps Script, Python, JavaScript, or no-code/low-code platforms.
- Practical experience applying AI tools (e.g., LLM-based apps, prompt design, or AI automation platforms) to real workflows.
- Comfortable working with APIs and integrating multiple SaaS tools.
- Familiarity with project management and collaboration platforms (e.g., Notion, Slack, Google Workspace).
- Exposure to data analysis or building dashboards and reporting.