Senior Analytics Engineer, Speak
$170-240k
Plus equity
English language learning app
Be an early applicant
English language learning app
101-200 employees
Be an early applicant
$170-240k
Plus equity
101-200 employees
Company mission
To teach the next billion people English and become the de facto way people learn languages.
Role
Who you are
- 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
What the job involves
- 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
Our take
As the international language of business, there are many incentives for global entrepreneurs to learn English. With over 1.5 billion people actively learning the language to better their chances in the job market, the customer base for Speak, an AI tutor in the English language is potentially massive.
Investors believe so too, with tens of millions of dollars raised to fund the company from a range of international firms including Korean investors and the Silicon Valley-based OpenAI Fund. This surge of capital will help Speak develop its software and open new markets, especially in the US.
Speak is attempting to break into a human-saturated education market and the success of learning English fluently through its platform is yet to be proven. That being said, it has the potential to become a leading tool specifically in the mobile app sector if it can prove itself as efficient and accessible as the language learning platform DuoLingo.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Dec 2024
$78m
SERIES C
Jun 2024
$20m
SERIES B
Total funding: $165.9m
Company benefits
- Speak offers all the standard benefits you'd expect at a tech startup, along with stipends for commuting, fitness, and learning!
- In addition, team members are encouraged to travel between offices and we also host an annual company offsite
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Connor Zwick
(CEO)Previously Advisor at Chegg Inc, CEO at coco Controller, Flascards+ and Freelance Blogger at Envato.
Salary benchmarks
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