Senior Analytics Engineer

About us

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.

As 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.

• Build 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 (Big Query, 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.