Business Operations Senior Analyst

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 looking for a Business Operations Senior Analyst to help scale Speak’s Learning & Curriculum team. In this role, you’ll act as a swiss-army knife operator — flexing across strategy, analytics, operations, and execution — and play a critical part in our mission to empower every learner with a best-in-class, tailored learning experience.

This is a highly cross-functional role where you’ll partner closely with Learning & Curriculum as well as Product, Engineering, and Analytics to drive measurable outcomes. If you bring sharp analytical skills, thrive in ambiguity, love wearing many hats, and care deeply about language learning, we’d love to meet you.

What You’Ll Be Doing

• Own strategy-to-execution plan for a defined area within Learning & Curriculum: define goals, sequencing priorities, and driving measurable outcomes end-to-end
• Lead curriculum analytics & experimentation in close partnership with Product Analytics: design, launch, and analyze experiments, cascade insights, invest in tooling to drive a data-driven culture within Learning & Curriculum
• Ensure Learning & Curriculum roadmap runs smoothly across languages, with clear prioritization, high experiment velocity, and timely execution translating to measurable impact on learner outcomes
• Introduce and scale systems and processes that improve team efficiency and quality
• Collaborate cross-functionally with Product, Engineering, and Analytics to deliver high high-quality learner experience
• Be a trusted partner to Learning Designers, bringing product, analytics, and operations expertise
• Introduce and scale systems and processes that improve team efficiency and quality
• Collaborate cross-functionally with Product, Engineering, and Analytics to deliver high high-quality learner experience
• Be a trusted partner to Learning Designers, bringing product, analytics, and operations expertise

What We’Re Looking For

• 4–6+ years in business operations, strategy & operations, product analytics, product management, product operations, program management, or similar roles (startup/high-growth experience strongly preferred).
• Strategic, solution-oriented problem solver: gets to the root cause, asks the right “whys,” and turns insights into action
• Versatile operator: able to flex across strategy, analytics, operations, and execution depending on business needs and energized by wearing may hats
• Experimentation & analytical acumen: able to design, run, and interpret experiments end-to-end; strong expertise in data analysis and A/B testing
• Language learning experience with strong empathy for learners’ challenges and motivations
• Operational rigor: excellent project management skills; able to keep multiple initiatives on track in fast-moving environments
• Effective communicator & collaborator: able to influence and build trust across functions and levels
• Bias for action: thrives in ambiguity, embraces 80/20 pragmatism, and gets things done
• Experience building scalable systems and processes (e.g., QA frameworks, launch playbooks)
• Background in language education, curriculum design, or edtech
• Prior product management or product operations experience
• Familiarity with AI/ML tools
• Effective communicator & collaborator: able to influence and build trust across functions and levels
• Bias for action: thrives in ambiguity, embraces 80/20 pragmatism, and gets things done
• Experience building scalable systems and processes (e.g., QA frameworks, launch playbooks)
• Background in language education, curriculum design, or edtech
• Prior product management or product operations experience
• Familiarity with AI/ML tools

Bonus Points For:

• Expertise In Sql

Why Work At Speak

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, 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.
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.