Speak
Product Analytics Lead San Francisco • Full time $130K – $200K • Offers Eq
Speak, San Francisco, California, United States, 94199
About us
Our mission isto become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn to speak a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually converse with someone.Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to.We started on this journey over five years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission.Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 30 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, raising a recent Series B backed by investors like OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and others. We’re a team of 60 based primarily in SF, Seoul, Tokyo, 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
3-5 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 being able to work autonomously and proactively engage with business stakeholders
Why work at Speak
Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension 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.
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Our mission isto become the de facto way people learn foreign languages. We begin by teaching the next billion people English and Spanish.English is the global language of business, culture, and communication, and over 1.5 billion people around the world are actively trying to learn right now. Others dream of communicating with the half-billion native Spanish speakers across the globe. The problem is that it's nearly impossible to learn to speak a language without constant access to a speaking partner. Grammar and vocab apps don't really help – you need to actually converse with someone.Speak is on a journey to fix this. We're creating an AI-powered experience that replicates the flow of a conversation, without needing a human on the other end. The goal is to make it radically more accessible to be able to have conversations in a foreign language and eventually help hundreds of millions of people gain fluency who otherwise wouldn't be able to.We started on this journey over five years ago and we've still got a long ways to go. We're thoughtfully adding new team members only when we think they can truly play a big role in our mission.Speak launched first in South Korea where we have quickly grown to become the top grossing education app in the country. We have now delivered this winning product to more than 30 countries globally and are continuing to expand to more markets in the coming months. The company is well funded, raising a recent Series B backed by investors like OpenAI, Founders Fund, Y Combinator, Khosla Ventures, Lachy Groom, Josh Buckley, and others. We’re a team of 60 based primarily in SF, Seoul, Tokyo, 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
3-5 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 being able to work autonomously and proactively engage with business stakeholders
Why work at Speak
Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've raised our Series B and an additional extension 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.
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