Product Manager - Learner Intelligence & Outcomes

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 looking for a senior Product Manager to build the learner intelligence behind Speak's superhuman tutor: understand each learner, measure whether they are improving, and use that understanding to personalize what happens next.

This role owns the loop from understanding to action to proof. You will turn assessment, behavior, mistakes, goals, and model outputs into a coherent learner state; use it to improve recommendations, feedback, and sequencing; and make progress understandable to learners and credible to B2B customers.

This is a hands-on, end-to-end product role with broad company-level outcome ownership. It is not an internal platform roadmap or an education-domain advisory role. The first-order need is someone who can make a messy user, data, and AI system legible, ship it into the product, and prove it helps people learn.

What you'll be doing

• Establish reliable, transparent signals of what a learner knows and whether they are improving across formal assessments, learning activity, and learner behavior.

• Turn assessment, behavior, mistakes, goals, context, and other signals into a coherent learner-state model.

• Establish quality gates for measurement accuracy, trust, transparency, actionability, and fairness.

• Use that understanding to improve recommendations, feedback, sequencing, and next actions across voice, lessons, content, and review.

• Make learning progress understandable to learners and visible as credible outcomes for B2B customers.

• Define the evals, instrumentation, and quality loops that tell us whether personalization improves learning—not just engagement.

• Create product requirements and decision frameworks that engineering, data, design, learning, and AI teams can build against.

What we're looking for

Must-have qualifications

• 6+ years of hands-on product experience, or equivalent evidence of unusually high slope and scope.

• Evidence of turning an ambiguous understanding-of-the-user problem into a shipped product with meaningful impact.

• Deep user empathy, including the ability to distinguish the needs of end users and commercial buyers.

• Strong systems thinking: you can make users, signals, models, workflows, and dependencies understandable enough to make decisions.

• Technical fluency across data, ML/AI systems, instrumentation, quality, evals, and architecture.

• Strong product judgment and user taste; technical sophistication without losing sight of the experience.

• Research judgment: you can combine qualitative research, behavioral data, and technical or expert input, and know when to investigate versus ship.

• High agency and cross-team influence, with clear evidence of consequential decisions and outcomes rather than coordination stories.

Nice-to-have qualifications

• Experience with personalization, recommendations, learner modeling, or another system that decides what should happen next for a user.

• Experience with assessment, learning science, health or outcomes products, experimentation, or B2B reporting.

• Experience building a system or set of artifacts that multiple product teams adopted.

Prior experience with proficiency, assessments, psychometrics, or education is not required. We care more about learning speed, systems reasoning, research judgment, and the ability to develop conviction in a new domain.

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.