AI-powered language learning platform teaching English, Spanish, and French through conversational experiences

Speak, a rapidly growing AI-powered language learning platform valued at $1B, is seeking a Full-stack Engineer for their B2B initiative. The company has revolutionized language learning by creating AI-powered conversational experiences, becoming the top-grossing education app in South Korea and expanding to 40+ countries.

The role involves building Speak's first B2B offering, working at the intersection of product, design, and machine learning teams. You'll be instrumental in developing programmatic, conversationally-driven language learning products that will shape the company's future. The position requires expertise in Typescript, React, Node.js, and PostgreSQL, with a focus on building polished business applications.

As a team member, you'll join a tight-knit, global organization with offices in San Francisco, Ljubljana, Seoul, and Tokyo. The company is well-funded, backed by prestigious investors including Accel, OpenAI, Founders Fund, and Y Combinator. You'll have the opportunity to make a significant impact, working with a team that values craft, growth, and meaningful collaboration.

The role offers competitive compensation ($170K-$280K base salary) and the chance to contribute to a mission that's helping millions achieve language fluency. You'll be joining at a crucial time when individual contributions can significantly influence the company's direction. The position combines technical challenges with the opportunity to create life-changing educational experiences for users worldwide.

Senior Full-stack Engineer position at Speak, building B2B language learning solutions with TypeScript, React, and Node.js, offering $170K-$280K base salary in San Francisco.

Fullstack Engineer, B2B

A superhuman, AI-powered language tutor in your pocket

Speak is revolutionizing language learning through AI technology, currently helping millions of users across 40+ countries become conversationally fluent in languages like English, Spanish, and French. As a Series B funded startup backed by prestigious investors including OpenAI, Founders Fund, and Y Combinator, we're on a mission to make language learning accessible to everyone.

As a Senior Android Engineer at Speak, you'll join our 75-person team spread across SF, Seoul, Tokyo, and Ljubljana. You'll be instrumental in building and improving our mobile application that has already achieved the status of top-grossing education app in South Korea. Your role will involve working on critical features that directly impact our users' learning experience, from improving content delivery to implementing monetization features and supporting new market launches.

The position requires strong technical expertise in Android development, particularly with Kotlin and modern mobile architectures. You'll collaborate closely with backend engineers, product managers, and designers to ship features to millions of users. This is an opportunity to join at a pivotal time when individual contributions can significantly impact the company's trajectory.

What makes this role unique is the combination of technical challenges and meaningful impact. You'll be working on sophisticated systems including text-to-speech and audio/video streaming while helping people achieve their language learning goals. The company culture emphasizes craft, growth, and working with admirable colleagues in a global environment.

If you're passionate about using technology to solve real-world problems and want to be part of a team that's making language learning more accessible to the next billion people, this role offers the perfect opportunity to make your mark.

Senior Android Engineer role at Speak, building AI-powered language learning apps with Kotlin, focusing on growth, user acquisition, and system improvements.

Senior Android Engineer

AI-powered language learning platform teaching English, Spanish, and French through conversational practice.

Speak is revolutionizing language learning through AI-powered conversation practice, currently helping millions learn English, Spanish, and French. As the top-grossing education app in South Korea and expanding to 30+ countries, we're backed by prestigious investors including OpenAI, Founders Fund, and Y Combinator.

As a Staff Android Engineer, you'll join our 75-person team spread across SF, Seoul, Tokyo, and Ljubljana. You'll be crucial in developing features that serve millions of users, focusing on growth, monetization, and market expansion. The role involves collaborating with backend engineers, product, and design teams to improve content delivery, run A/B tests, and enhance our audio/video streaming systems.

We're seeking someone with 5+ years of mobile engineering experience, strong Kotlin proficiency, and expertise in mobile architectures. You'll work on exciting challenges like building growth loops, improving user acquisition/retention, and launching in new markets. The ideal candidate combines technical excellence with strong product sense and mentorship abilities.

This is an exceptional opportunity to join at a pivotal time - post-Series B, with proven product-market fit and rapid growth. You'll work with a tight-knit, talented team in a global company that's making a real difference in people's lives. Our offices in major global tech hubs offer unique exposure to international markets and users.

The role offers competitive compensation ($210K-$260K plus equity) and the chance to impact millions of language learners worldwide. We value craft, growth, and working with admirable colleagues in an environment where individual contributors can significantly influence the company's direction.

Staff Android Engineer role at Speak, building AI-powered language learning apps used by millions globally. 5+ years experience, Kotlin expertise required. $210K-$260K + equity.

Staff Android Engineer

Speak is revolutionizing language learning through AI-powered conversation practice, helping the next billion people learn English, Spanish, and French. As the top-grossing education app in South Korea and expanding to over 30 countries, we're backed by prestigious investors including OpenAI, Founders Fund, and Y Combinator.

As a Staff iOS Engineer, you'll play a crucial role in our 75-person team, working on critical features that directly impact millions of users' language learning journey. You'll be responsible for improving our freemium experience, implementing monetization features, and enhancing our core technology including speech-to-text and streaming systems.

The ideal candidate brings 5+ years of mobile engineering experience, with deep expertise in Swift and mobile architectures. You'll work closely with backend engineers, product, and design teams to shape the future of language learning. This role offers an opportunity to mentor other engineers while contributing to a product that's making language learning more accessible globally.

We offer competitive compensation ($210K-$260K plus equity) and the chance to work with a tight-knit, global team during a period of rapid growth. Our offices in San Francisco, Ljubljana, Seoul, and Tokyo provide a truly international work environment. Join us in our mission to help millions achieve their language learning goals through innovative technology and thoughtful product development.

Staff iOS Engineer role at Speak, building AI-powered language learning platform, offering $210K-$260K plus equity in San Francisco.

Staff iOS Engineer

Speak is reinventing language learning, starting with teaching English, Spanish, and French to the next billion people.

Speak is on a mission to reinvent language learning, starting with teaching English, Spanish, and French to the next billion people. As a Senior - Staff Android Engineer at Speak, you'll be part of a fast-growing team that's making a significant impact on global education.

The role involves building and improving key features of Speak's Android app, which is used by millions of users across 30+ countries. You'll be responsible for enhancing content delivery, running A/B tests on monetization features, supporting new market launches, and improving core systems like text-to-speech and audio/video streaming.

Key responsibilities include:
- Building growth loops, including referrals and in-app shareables
- Improving user acquisition and retention
- Working on pricing and packaging strategies
- Launching in new markets and adding new languages
- Enhancing text-to-speech and streaming systems

We're looking for someone with 5+ years of experience in mobile engineering, preferably in a startup environment. Proficiency in Kotlin and understanding of mobile architectures like MVC/MVVM is crucial. Experience with reactive programming, mobile build practices, and Google Play Billing is highly valued.

Speak offers a competitive salary range of $170K – $280K, along with equity. The company is well-funded, having raised a Series B from notable investors like OpenAI, Founders Fund, and Y Combinator. 

Join our team of 75 based primarily in SF, Seoul, Tokyo, and Ljubljana, and be part of a mission to help millions achieve fluency in new languages. This is an opportunity to do impactful work with a fantastic, tight-knit team at a crucial growth stage.

Join Speak as a Senior - Staff Android Engineer to build innovative language learning solutions, working on growth, monetization, and core app features.

Senior - Staff Android Engineer

Speak is on a mission to reinvent the way people learn, starting with language. We're creating an AI-powered experience that replicates the flow of a conversation without needing a human on the other end. Our goal is to make it radically more accessible to have conversations in a foreign language and help hundreds of millions of people gain fluency.

We're looking for a backend-leaning full-stack engineer to work on building novel AI-powered product experiences. The ideal candidate will have experience working closely with product, design, and machine learning teams, as well as a background in building polished consumer applications. This role is central to developing our newest products focused on programmatic, conversationally-driven language learning.

**What you'll be doing:**
- Building novel AI-driven product experiences and user interfaces on the web
- Owning the entire development cycle of features, from conception to production
- Writing code quickly, shipping frequently, and making a huge impact on our business by helping us scale our content

**What we're looking for:**
- 4+ years of experience building highly polished web-based product experiences, including extensive experience with React
- Appreciation for balancing doing things the "right way" while also building things scrappily when necessary
- Enjoyment in shipping things quickly and frequently
- Excellent communication skills and enjoyment in collaborating across functions

**Why work at Speak:**
1. Join a fantastic, tight-knit team at the right time as we're growing quickly and have achieved product-market fit
2. Work with people you'll love and respect in a growth-oriented environment
3. Be part of a global company with offices in San Francisco, Ljubljana, Seoul, and Tokyo
4. Make a significant impact on people's lives by helping them learn languages

Speak is well-funded, having raised a recent Series B backed by investors like OpenAI, Founders Fund, Y Combinator, Khosla Ventures, and others. We're a team of 75 based primarily in SF, Seoul, Tokyo, and Ljubljana.

Join us in our mission to help the next billion people learn English, Spanish, and French!

Senior Fullstack Engineer, Growth at Speak: Build AI-powered language learning experiences with a fast-growing startup in San Francisco.

Senior Fullstack Engineer, Growth

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
- 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
- Interest in building with LLMs

Bonus:
- 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)

Why work at Speak:
1. Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension from some of the top investors in the valley, and we've achieved product-market fit in our initial markets.
2. 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.
3. 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.
4. Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and we're helping millions of people achieve their goals and improve their lives.

AI Product Engineer role at Speak, developing LLM-powered language learning products for millions of users worldwide.

AI Product Engineer

Speak is on a mission to reinvent language learning, starting with English, Spanish, and French. We're creating an AI-powered experience that replicates conversation flow without needing a human partner. Our goal is to make foreign language conversations radically more accessible and help millions gain fluency.

We're seeking a full-stack engineer for our new B2B offering. The ideal candidate will have 5+ years of industry experience, preferably in a fast-paced startup environment. You'll be comfortable with Typescript, React, Node.js, and Postgres/relational databases. This role is central to developing our newest products focused on programmatic, conversationally-driven language learning.

Key Responsibilities:
- Build Speak's first B2B offering spanning web and app experiences
- Own the entire feature development cycle, from conception to production
- Write code quickly, ship frequently, and make a significant impact on our business

We offer:
- An opportunity to join a growing team at a crucial time (post-Series B funding)
- A chance to do impactful work with a team you'll love
- A global work environment with offices in San Francisco, Ljubljana, Seoul, and Tokyo
- The opportunity to positively impact millions of lives through language learning

Speak is well-funded, backed by investors like OpenAI, Founders Fund, Y Combinator, and Khosla Ventures. We're a team of 75, primarily based in SF, Seoul, Tokyo, and Ljubljana. Join us in our mission to help the next billion people learn languages and improve their lives!

Fullstack Engineer, B2B role at Speak, building AI-powered language learning experiences.

**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 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.

# About this role

We are looking for a senior backend focused but full-stack capable engineer to work on building novel AI-powered product experiences. The ideal candidate will have experience working in close coordination with product, design, and machine learning teams, as well as have a background in building polished consumer applications. This role sits at the center of developing our newest products focused on programmatic, conversationally-driven language learning and will be an instrumental contributor to the future of our company.

# What you'll be doing

- Building novel AI-driven product experiences and user interfaces on the web
- Full-stack engineering, but focused on creating scalable backend systems.
- Debugging complex streaming issues.
- Owning the entire development cycle of features, from conception to production
- You'll be able to write code very quickly, ship frequently, and make a huge impact on our business by helping us scale our content

# What we're looking for

- 5+ years of industry experience working as a Backend Engineer, preferably in a fast-paced startup environment
- Excellent problem-solving and communication skills, and the ability to work independently or as part of a team
- Coach and mentor other engineers
- Strong product sense: ability to think broadly/cross-functionally about product experiences

# **Why work at Speak**

1. **Join a fantastic, tight-knit team at the right time:** we're growing very quickly, we've raised our Series B and an additional extension 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.

2. **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.

3. **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.

4. **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.

Senior Backend Engineer for Speak, an AI-powered language tutor app

Senior Backend Engineer

As an MLE 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 to spearhead new proofs-of-concept and experiment creatively to help push the boundaries of truly personalized language learning.

Your tasks will span the entire ML lifecycle, from ideation and experimentation to implementation and deployment. You'll bring the rigor of ML applied research to building out novel LLM product experiences to create new lesson types, to improve assessment/feedback, and to provide a continuously personalized learning experience to users.

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:**

- Collaborating with the Content team to build out a Knowledge Graph to measure and track learner progress over time in Vocab, Grammar, and Pronunciation
- Building new types of dynamically-generated personalized lessons to teach to each individual learner's strengths and weakness
- Working closely with the Product team to enhance our AI-powered lessons and learning features
- Improving the assessment and monitoring of our prompts via synthetic evaluators

**What we're looking for:**

- 3+ years experience as a machine learning engineer shipping ML systems into production
- Experience working with LLMs and strong LLM intuition
- Strong product interest and sense - ability to think broadly/cross-functionally about novel LLM-powered capabilities and product experiences

**Why work at Speak:**

1. **Join a fantastic, tight-knit team at the right time:** We're growing very quickly, we've raised our Series B and an additional extension 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.

2. **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.

3. **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.

4. **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 is hiring an Applied ML Engineer to develop innovative language learning experiences using LLMs and AI technologies.

Applied ML Engineer, LLM

Speak is looking for an experienced Machine Learning Engineer to join their team and help develop cutting-edge phoneme recognition models to provide learners with effective pronunciation feedback. The role involves taking ownership of the end-to-end modeling pipeline, from training and experimentation to deployment and monitoring. You'll work closely with Product teams to design innovative learning experiences and measure the efficacy of production models as they affect end users. As part of a small, dynamic team, you'll likely contribute as a developer and thought partner on broader team projects like ASR, assessment, content personalization, and more.

Key responsibilities include:
- Training and deploying phoneme recognition models end-to-end
- Expanding the Pronunciation Coach to provide precise feedback
- Tracking metrics to measure performance of existing phoneme models across markets
- Building out an assessment system for pronunciation, intonation, and prosody
- Building and maintaining data infrastructure
- Supporting the broader Speech & ML team

Requirements:
- Extensive experience training and deploying custom deep learning models to production (audio/speech experience preferred)
- Proficiency in Python and common Deep Learning frameworks like PyTorch
- Strong communication skills and ability to explain complex ML concepts
- Sharp product sense and cross-functional thinking
- 4 - 10 years of industry experience

Speak offers a unique opportunity to join a fast-growing team with recent Series B funding, work on a global product available in over 40 countries, and make a significant impact on language learning for millions of people worldwide. The company values craft, growth, and working with admirable colleagues in a tight-knit team environment.

Speak does not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other legally protected characteristics.

Join Speak as an Applied ML Engineer to develop cutting-edge speech recognition models for language learning, working with a global team on impactful AI-powered education technology.

Speak Engineering Jobs

AI-powered language learning platform teaching English, Spanish, and French through conversational experiences