Product Manager, Speak
Memory & Personal Intelligence
$191-315k
+ Equity
3+ days a week in office
Language learning app
Be an early applicant
Language learning app
201-500 employees
Be an early applicant
$191-315k
+ Equity
3+ days a week in office
201-500 employees
Company mission
To reinvent the way people learn, starting with language.
Role
Who you are
- 6+ years of hands-on product experience, as well as Product Lead experience
- AI, ML, data, recommendations, personalization, platform, learning, or technical product experience
- Strong systems thinking and enough technical fluency to reason with engineers
- Product taste and user empathy, especially where platform decisions shape user-facing quality
- Excellent writing and ability to create artifacts that travel
- Ability to lead company-level outcomes from a Memory & Personal Intelligence home scope without drifting into abstract platform strategy
- High agency without assuming formal authority or direct reports on day
What the job involves
- We're looking for a Product Lead to build the memory and intelligence layer that helps Speak know what each learner should do next
- This person will create the product and platform layer that lets Speak deliver the right learning experience at the right time across user memory, tutors, lessons, content, recommendations, assessments, evals, and AI systems
- This starts as a hands-on Product Lead role with a clear Memory & Personal Intelligence home scope and broad company-level outcome ownership
- As the area grows, management scope may become part of the path, but the first-order need is someone who can personally set product direction, integrate teams, and raise execution quality
- Set Memory & Personal Intelligence product direction
- Own product architecture for longitudinal memory, personalization, sequencing, recommendations, feedback loops, and learner-state models
- Define interfaces between learning experiences, content systems, evals, AI platform, and learner-facing surfaces
- Create cross-team product clarity: principles, artifacts, product requirements, and decision frameworks that multiple pods can build against
- Build product quality loops that improve learning outcomes, trust, and team velocity
- Define the memory, learner-state model, and product interfaces that help multiple teams decide what a learner should do next
- Build the product architecture connecting assessment, content generation, voice practice, recommendations, and learner-facing next actions
- Create the instrumentation and quality loops that tell us whether personalization is improving learning, not just engagement
Our take
Language is one of the most powerful skills a person can learn. It helps us connect with people, understand different cultures, travel with confidence, and unlock new opportunities in life and work. But learning a language is often easier said than done. Traditional lessons are daunting and slow, not to mention expensive, and many people never get enough practice actually speaking out loud.
Speak is changing that by putting an AI language tutor right in your pocket. Instead of focusing on memorising endless vocabulary lists, Speak is built around real conversations. Learnings speak from the very beginning, receive instant feedback, and work through lessons designed to help them improve naturally over time. It brings the experience of practicing with a personal tutor to millions of people, making language learning more accessible.
That approach is clearly working too. Since launching in South Korea in 2019, Speak has now grown into the country's number one language learning app and now supports learners across more than 15 languages worldwide. Backed by leading investors, including OpenAI, Speak has become on of the world's leading AI language learning companies. And as AI becomes better at understanding and responding like a real conversation partner, Speak is in a good position to help even more people not just learn a language but become confident in it.
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
- Competitive salary and equity
- Comprehensive medical, dental, and vision insurance
- Unlimited PTO
- Parental leave
- 401(k)
- Monthly wellness stipend
- Monthly language learning stipend
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Connor Zwick
(Co-Founder & CEO)Prior to co-founding Speak in 2016, Connor founded Flashcards+ where they served as the CEO until it was acquired by Chegg. They also served as the CEO at Coco Controller for nearly 3 years.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 13 more jobs at Speak