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Preply is a unicorn edtech platform (Series D, $150M) that connects 100,000+ tutors teaching 90+ languages to learners in 180 countries. The Copy Operations Specialist role sits within Preply's Copy team, which spans Brand, CRM, and Product functions.
You will build and improve the operating system for copy work at Preply—the workflows, tools, data, and AI-enabled processes that make work visible and keep it moving. This is a hands-on operations role focused on scaling how the Copy team works as the company grows.
Key responsibilities include:
**Improve copy workflow and prioritization:** Build a shared view of copy demand, priorities, and capacity by integrating data from Jira, Slack, and squad boards. Improve intake processes so requests in different formats become clear, actionable briefs. Coordinate weekly prioritization, highlight conflicts and dependencies, and identify repetitive tasks that could be automated.
**Apply AI and automation:** Identify opportunities to reduce friction and improve planning, quality, speed, consistency, and learning. Design and test AI-enabled workflows for briefing, workflow management, reporting, and insight. Create automations, dashboards, and tool integrations. Track adoption, time saved, delivery improvements, and quality metrics.
**Enable voice and performance insights:** Make Preply's voice principles easier to apply at scale through practical guidance and checks. Help the team use performance data to improve copy quality and decision-making. Establish processes for multilingual copy projects in partnership with Localization. Develop repeatable processes for new subjects, markets, and languages.
**Support adoption and collaboration:** Turn operational problems into simple, testable solutions. Support colleagues as new workflows and tools roll out. Share progress and learnings with stakeholders. Build team confidence in using AI responsibly and effectively.
You'll work closely with the Copy team and cross-functional partners, turning ideas into useful shared systems.
**Requirements:**
- Hands-on experience using AI tools to solve real problems, with evidence of experimenting, learning, and evaluating results
- Practical experience improving a process or workflow in a fast-moving, cross-functional environment
- A practical, experimental approach: you enjoy trying ideas, gathering feedback, and improving what you've built
- Ability to think systematically about how people, processes, tools, and information fit together
- Confidence working with data and using it to understand whether something is working
- Good organizational skills and ability to manage multiple pieces of work simultaneously
- Clear communication and ability to work effectively with people from different teams and areas of expertise
- Good judgment about quality, data privacy, and human oversight when using AI
**Nice to have:**
- Experience supporting a copy, content, creative, or brand team
- Experience using performance data or experiment results to improve copy or creative outcomes
- Comfort learning new tools and building or configuring simple solutions
- The company values curiosity, judgment, ideas, and evidence of what you can do over years of experience
