Engineering · Full-time · CA, United States of America
Our mission is to reinvent the way people learn, starting with language. We begin by teaching the next billion people English, Spanish, and French.
English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn to speak a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually converse with someone.
Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to.
We started on this journey over five years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission.
Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 30 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, raising a recent Series B backed by investors like OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and others. We’re a team of 75 based primarily in SF, Seoul, Tokyo, and Ljubljana.
Speak is looking for a person who is passionate about and fully dedicated to learning about how users engage with our apps. This individual will be critical for helping create hypotheses and finding insights that allow the team to build a better product and grow the business. Our second product analytics hire will grow our data-driven culture at Speak by empowering team members to use data in their respective roles. In this role you will own specific verticals within analytics and testing infrastructure and be a key thought partner to leadership and the whole product development organization.
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.