Marketing Analytics Lead
SpeakSan FranciscoPosted 21 August 2025
Tech Stack
Job Description
About usOur 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 roleAs the Lead for Marketing Analytics at Speak, you’ll own the systems, insights, and experimentation frameworks that power our global growth. You’ll be the key analytics partner to our Growth teams globally —responsible for everything from performance modeling to measurement infrastructure to media investment strategy.This is a rare opportunity to build the next phase of the Marketing Analytics function at Speak with a high degree of autonomy and ownership. We’re looking for someone who is not just analytically sharp but also deeply strategic—a builder who can scale systems and generate insights that shape the full funnel roadmap across marketing, growth, and growth product.What you’ll be doingOwn and evolve Speak’s global marketing analytics function, including dashboards, attribution, experimentation, and incrementality/MMM.Partner with growth globally teams to guide investment decisions across performance, CRM, brand (TV, OOH), ASO/SEO, influencer, and offline channels.Design and manage the analytics infrastructure that supports accurate, fast, and scalable insights across markets and platformsBuild and operationalize frameworks for measuring CAC, LTV, ROI, incrementality, and media efficiency.Accelerate experimentation velocity by supporting the design, execution, and analysis of A/B and market-level tests across creatives, lifecycle, and product surfaces.Collaborate cross-functionally with product, engineering, and finance teams to identify levers for acquisition, retention, and monetization.Shape forward-looking strategy by analyzing media fatigue, market saturation, and competitive benchmarks.Hire and mentor junior team members, scaling the team alongside the businessWhat we’re looking for5–7+ years of experience in high-performance analytics roles, with at least 3 years focused specifically on growth or marketing analytics.Deep familiarity with multi-channel marketing measurement, including attribution systems, LTV/CAC frameworks, and MMM/incrementality testing.Expertise in SQL, plus hands-on experience with BI tools like Mode, Looker, or Tableau.Experience designing and running marketing and pricing/packaging experiments (creative tests, landing pages, CRM, geo tests, etc.).Demonstrated ability to influence growth, product, finance, and marketing stakeholders with clear, actionable insights.Strategic mindset—someone who can zoom out and prioritize, not just execute analyses.Clear, compelling communicator who can explain complex ideas to non-technical audiences.Bonus points forExperience working on multi platform consumer subscription or mobile app productsExposure to marketing mix modeling (MMM) and brand measurementProficiency in Python or R for deeper modeling or statistical analysisPrior experience building out marketing analytics functions from scratchGlobal growth experience or exposure to multi-geo go-to-market strategiesWhy work ... (truncated, view full listing at source)
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