About the job
About Us
At Speak, we're on a mission to revolutionize language learning.
Learning a language can transform lives, unlocking new cultures, careers, and communities. With two billion people globally eager to learn a language, traditional one-on-one tutoring remains elusive and has seen little innovation in decades. Speak is creating an AI-powered, human-level tutor that fits in your pocket: a conversation-focused experience that encourages learners to speak, receive immediate feedback, and progress through thoughtfully crafted lessons. This leads to a comprehensive journey from beginner to confident speaker in multiple languages.
Originally launched in South Korea in 2019, Speak has quickly risen to become the leading language learning app, now serving learners across various markets and offering over 15 languages. As one of the world’s top AI companies, we have raised over $150 million in funding from prestigious investors like OpenAI, Accel, Founders Fund, and Khosla Ventures, with a diverse team located in San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
About This Role
As a Senior Analytics Engineer at Speak, you will be instrumental in shaping the future of digital language education while advancing our mission of making language proficiency attainable for millions around the globe.
Your primary focus will be to empower every team member to leverage data for informed decision-making. Your responsibilities will include establishing reliable datasets, defining key performance metrics, and managing the analytical tools utilized across the organization. You will collaborate closely with product, engineering, and analytics teams to ensure our platform, driven by state-of-the-art technology, is robust and provides actionable insights to improve user engagement and learning outcomes.
What You'll Be Doing
Construct and Optimize Data Infrastructure: Oversee and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to guarantee efficient data flow and processing.
Facilitate Data-Driven Decision-Making: Collaborate with cross-functional teams to develop data models and metrics that support critical business analyses.
Empower Stakeholders: Continuously assess and enhance our tool stack to ensure that accessing data-driven answers is as seamless as possible.
Collaboration and Systems Thinking: As a key member of our team, you will partner with product managers, analysts, and fellow engineers to design data solutions and processes that drive results.

