Six Figure Work

AI Product Engineer

Speak

Company websitespeak.com (Speak, opens in new tab)

Base salary $150K  to $280K

Employer-published annual base salary, USD. Advertised base range in San Francisco, CA

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  • LocationSan Francisco, CA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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.

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

  1. 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.

  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, Tokyo, and Taipei, 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.

Source: Speak on Ashby · View original posting (opens in new tab)

Pay in context

This role's base floor ($150,000) is above 16% of the 1,505 Data & ML roles in California listed on this site; 59 others list the same floor. Their median floor is $189,721; the middle half runs from $160,000 to $229,900.

Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

This range next to 6 other live Speak roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Speak roles with the nearest advertised base floor
RolePublished base
AI Product Engineer (this listing)$150K - $280K
Backend Engineer$150K - $280K
Full-stack Engineer$150K - $280K
Full-Stack Engineer - Enterprise$150K - $280K
Product Designer - Consumer$160K - $260K
Product Designer, Design Systems$160K - $260K
Product Manager, Learning Outcomes$191K - $315K

Same $100K to $400K scale as every card. All Speak roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2023-09-19
Where this pay comes from

Location as the employer wrote it: San Francisco

USD 150,000 – 280,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.