AI Product Engineer

About us

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 tospeaka language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actuallyconversewith someone.

Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation,withoutneeding 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 40 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, and as of December 2024, we've reached a $1B valuation with our Series C round, through key partners like Accel, OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and more.

We’re a team of more than 90 based throughout San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

About this role

As an AI Product Engineer at Speak, you'll play a pivotal role in developing the future of language learning and creating the most effective path to language fluency. Your primary responsibility will be developing innovative product experiences powered by Language Learning Models (LLMs) and deploying them to millions of users.

Your tasks will span the full stack and beyond, from evaluating models and testing prompts to developing and iterating on various product features such as our conversational onboarding and lesson experiences, grammatical assessment and feedback, and personalized lessons.

We're constantly pushing the boundaries of what LLMs can do to provide an exceptional and unparalleled language learning experience to users in over 30 countries worldwide.

What you'll be doing

• Developing and deploying LLM-powered language learning products across the full stack, as well as enhancing the quality and performance of existing AI-powered features within Speak

• Collaborating cross-functionally with other Engineering teams, Applied ML, Product, Design, and Content

• Refining our process for building LLM apps, including best practices for prompting, experimentation/evaluation, LLM Ops, measuring quality and performance, etc.

• Scaling existing product features to many more users and languages

What we're looking for

• 3-5+ years of experience in full stack/backend, product-focused software engineering
- Proficiency in React/Node/Typescript and Python

• You have real-world experience developing and deploying LLM apps and a strong understanding, gained through experience, of what works and what doesn't

• A keen intuition for improving performance and output quality of LLM systems

• Experience with LLM Ops and tools (e.g., vector databases, RAG, prompt ops)

• Strong product intuition — the ability to think broadly and cross-functionally about innovative LLM-powered capabilities and product experiences

• Ability to work independently and build at a high velocity

Office

• San Francisco, CA

Why work at Speak

• 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…