Product Manager, Learning Outcomes
Company websitespeak.com (Speak, opens in new tab)
Base salary $191K to $315K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (3 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
We're hiring a Product Manager to answer a question every learner and customer should be able to answer: is the learner actually getting better?
Speak sees many signals of progress — assessments, practice, mistakes, learning activity, and what a learner can do over time. Today, those signals do not yet form one clear picture. This PM will turn them into a product that helps learners understand where they are, whether they are improving, and what to do next. For companies using Speak, the same work should provide credible evidence that their learners are making progress.
This is a hands-on senior IC role. You'll work across Product, Engineering, Analytics, Learning, Design, and our B2B team, but the job is not to coordinate those groups. The job is to learn the problem deeply, make the product choices, and ship.
What you'll be doing
Own product strategy and roadmap for learning outcomes and proficiency.
Talk directly with learners and B2B customers to understand how they judge progress today and where the current experience fails them.
Decide which signals of proficiency and progress are trustworthy enough to drive product decisions.
Ship improvements in assessment, progress, and feedback that help learners understand where they are and what to do next.
Connect measurement back to the learning experience so what we know about a learner changes what Speak does for them.
Define practical quality bars for accuracy, trust, transparency, and actionability.
Work with Engineering, Analytics, Learning, and Design to turn ambiguous evidence into a focused product decision and a measured release.
What we're looking for
If you don't think you meet every criterion below but are excited about the role, please apply. We care more about evidence of strong product judgment and learning speed than a perfect match on background.
Must-have Qualifications
Strong product judgment in ambiguous, 0→1 problems: you can choose what matters, narrow scope, and explain what you would learn next.
Experience combining user research and product data to make consequential product decisions.
Systems thinking: you can understand how user experience, data, models, workflows, and technical constraints fit together without losing sight of the user problem.
A track record of shipping products with measurable user or business outcomes.
Clear written and verbal communication.
Nice-to-have Qualifications
Experience with B2B products where the buyer, admin, and end user have different needs.
Experience with measurement-heavy products, personalization, health, education, or other outcomes-oriented systems.
Interest in language learning or learning science.
Prior experience with proficiency, psychometrics, assessments, or education is not required.
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 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.
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.
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 ($191,000) is above 63% of the 861 Product roles in California listed on this site; 3 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $205,000.
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 7, 2026.
This listingProduct Manager, Learning Outcomes$191K to $315K
Product Manager - AI Content Generation$191K to $315K
Engineering Manager, Enterprise$200K to $280K
Machine Learning Engineer, Voice$200K to $300K
Engineering Manager, Infrastructure / Platform$220K to $300K
Product Designer - Consumer$160K to $260K
Product Designer, Design Systems$160K to $260K
Chart as a table
| Role | Published base |
|---|---|
| Product Manager, Learning Outcomes (this listing) | $191K - $315K |
| Product Manager - AI Content Generation | $191K - $315K |
| Engineering Manager, Enterprise | $200K - $280K |
| Machine Learning Engineer, Voice | $200K - $300K |
| Engineering Manager, Infrastructure / Platform | $220K - $300K |
| Product Designer - Consumer | $160K - $260K |
| Product Designer, Design Systems | $160K - $260K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-13
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 191,000 – 315,000 · 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.
