Our mission is to reinvent the way people learn, starting with language.
Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.
Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.
About this roleAs an Analytics Engineer at Speak, you'll play a pivotal role in shaping the future of digital language learning, propelling us towards our mission of making language proficiency accessible to millions worldwide.
Your goal is to empower everyone across the company to be able to use data to make decisions. Your work will span from creating reliable sources of truth datasets to creating metric definitions and managing tools used across teams. You'll work closely with our product, engineering, and analytics teams to ensure that our platform, powered by cutting-edge technology, is not only robust but also delivers actionable insights that enhance user engagement and learning outcomes.
What you'll be doingBuild and Optimize Data Infrastructure: Manage and implement scalable data pipelines using Airflow for orchestration and dbt for transformation to ensure efficient data flow and processing.
Enable Data-Driven Decisions: By collaborating with cross-functional teams, you will develop data models and metrics that facilitate critical analysis for business decisions.
Empowerment: Proactively evaluate and evolve our tool stack to support stakeholders to make answering questions with data as frictionless as possible.
Collaboration and Systems Thinking: As a central node on our team, you'll partner with product managers, analysts, and other engineers to design data solutions and processes for business needs.
5+ years of relevant experience
Data Modeling: Deep understanding of big data warehouses (BigQuery, Snowflake, Redshift), theories, principles, and practices. Ability to design, implement, and manage data warehouses and cloud pipelines (GCP, AWS, dbt) effectively.
Programming Skills: Strong proficiency in SQL and comfort working with Python. Ability to write efficient, reliable, and maintainable code.
Tooling: Experience managing data platform tooling, such as data ingestion, reverse ETL, visualization, data observability, alerting, etc.
Business Acumen: Translate stakeholder needs into robust data models and metrics with a deep understanding of the product and business model.
Debugging Skills: Strong problem-solving skills and the ability to approach complex challenges methodically, including data inconsistency issues.
Effective Communication: Ability to communicate technical information to non-technical stakeholders clearly and effectively. This includes writing documentation, presenting findings, and collaborating on projects.
Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company.
Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply.
Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel.
Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives.
Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Top Skills
What We Do
Speak is a language learning app that sets users on the path to fluency with the world’s most advanced AI tutor. Built on the core learning philosophy of getting users speaking out loud as much as possible, Speak's AI language-learning experience encourages dynamic two-way dialogue through personalized content and real-time speech recognition.
Speak was founded by Connor Zwick and Andrew Hsu in 2016 to democratize access to high quality language education through AI. Backed by Y Combinator, Open AI, Founders Fund, Khosla Ventures, Matrix Partners and more, Speak is a series B startup with a global presence and offices in San Francisco, Seoul, Tokyo, and Ljubljana.
Featured by Apple as the ‘App of the Day’ and ‘Best New App’, Speak is hiring across the globe. Come join us as we teach the next billion people English and reinvent the way the world learns, staring with language
