Speak
Lead Product Analyst
🇺🇸 Remote - San Francisco, CA
🕑 Full-Time
💰 TBD
💻 Product Development
🗓️ November 13th, 2025
SQL
Edtech.com's Summary
Speak is hiring a Lead Product Analyst. The role involves driving product strategy through quantitative research, designing feature analyses, maintaining company data infrastructure, and conducting A/B tests to improve user engagement and business outcomes. The analyst will collaborate closely with leadership and product teams to foster a data-driven culture and inform product development decisions.
Highlights
- Lead product strategy by analyzing user behaviors and trends alongside product managers, engineers, and designers.
- Design and maintain data events, tables, and company-wide product and business dashboards.
- Conduct and analyze A/B tests, market-based tests, and other causal inference methods to understand users.
- Perform exploratory analysis to guide future product experimentation and roadmap planning.
- Require 5-7 years of analytics experience driving product business decisions.
- Expertise in SQL and advanced visualization tools like Mode.
- Strong knowledge of statistical analysis, experimentation design, regression, and decision trees.
- Experience running multivariate product experiments to optimize products or revenue streams.
- Ability to work autonomously and proactively engage with business stakeholders.
- Work within a global company with presence in 40+ countries, collaborating across multiple offices including San Francisco, Seoul, Tokyo, and Ljubljana.
Lead Product Analyst Full Description
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
Speak is looking for a person who is passionate about and fully dedicated to learning about how users engage with our apps. This individual will be critical for helping create hypotheses and finding insights that allow the team to build a better product and grow the business. Our second product analytics hire will grow our data-driven culture at Speak by empowering team members to use data in their respective roles. In this role, you will own specific verticals within analytics and testing infrastructure and be a key thought partner to leadership and the whole product development organization.
What you’ll be doing
- Drive product strategy by proposing and conducting quantitative research into key user behaviors and trends, in partnership with product managers, engineers, designers, and other team members
- Design new features and inform the product roadmap through analysis, e.g., help define metrics for every stage of the user journey (onboarding, conversion, engagement, retention)
- Build and maintain core company data events and tables
- Build and maintain company-level product and business dashboards
- Design and analyze A/B tests, market-based tests, etc. and conduct other forms of causal inference to help us rigorously learn about our users
- Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights
What we’re looking for
- 5-7 years of experience using analytics to drive key product business decisions
- Significant experience with SQL
- Advanced knowledge of visualization tools such as Mode
- Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression and decision trees
- Solid background in running multivariate product experiments to optimize a product or revenue flow
- Proven track record of working autonomously and proactively engaging with business stakeholders
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, 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.
- 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.
