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Sr. Software Engineer, Growth

Quizlet · San Francisco, CA

Location
San Francisco, CA
Salary
$169K - $219K
Experience
5+ years
Funding
$62M
Posted
Sep 9, 2026

Quizlet is hiring a Sr. Software Engineer, Growth based in San Francisco, CA. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.

Apply directly at Quizlet

Role details

ABOUT QUIZLET: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We’re a $1B+ learning platform used by two-thirds of U.S. high school students and half of college students, powering over 1 billion learning interactions each week. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of Learning Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. WHY JOIN QUIZLET? 🌎 Massive reach: 60M+ users, 1B+ interactions per week 🧠 Cutting-edge tech: Generative AI, adaptive learning, cognitive science 📈 Strong momentum: Top-tier investors, sustainable business, real traction 🎯 Mission-first: Work that makes a difference in people’s lives 🤝 Inclusive culture: Committed to equity, diversity, and belonging ABOUT THE TEAM: Quizlet's Product Engineering organization builds the core experiences that help millions of students and teachers achieve their learning goals. We collaborate across teams to achieve user-centric outcomes, focusing on developing intuitive interfaces, engaging learning tools, and robust, scalable systems. You’ll be joining a passionate group of engineers, designers, product managers, and data scientists dedicated to solving real-world educational challenges. Our teams operate with autonomy, embrace experimentation, and are deeply committed to user-centric design. We value transparency, inclusivity, and collaboration at all levels. Our (non-exhaustive) Tech Stack: - Languages: Go, PHP, Typescript - Frameworks: React, Next.js, UIKit, SwiftUI, Jetpack Compose - Data: MySQL, PostgreSQL, Spanner, BigQuery - Misc: GCP, Datadog, Growthbook, Rollbar, Pub/Sub, Redis/Valkey, Docker/Colima, Kubernetes ABOUT THE ROLE: We’re looking for a Senior Software Engineer to design, build, and deliver features for acquisition, activation, upgrade/upsell, and retention that are core to Quizlet’s growth. You’ll work closely with other engineers, product managers, designers, and data scientists to turn ideas into scalable, high-quality solutions that serve millions of learners globally. As a senior individual contributor, you’ll take ownership of complex projects from concept through deployment, applying sound technical judgment and balancing trade-offs between user experience, performance, and maintainability. You’ll play a key role in shaping architecture, driving best practices, and mentoring teammates through code reviews, design discussions, and technical guidance. This role involves rapid experimentation: shipping and interpreting A/B tests is core to the job, with an expectation of fast iteration — quickly analyzing results, drawing conclusions, and adjusting course. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization. We’re happy to share that this is an hybrid position in our San Francisco office. To support collaboration, we ask employees to be in the office at least two days a week: Wednesday, and Thursday. IN THIS ROLE, YOU WILL: - Deliver end-to-end projects that directly contribute to Quizlet’s product and business priorities - from planning and design through implementation, testing, and rollout - Design, implement, and analyze A/B tests (via GrowthBook) across acquisition, activation, or retention surfaces, with ownership of hypothesis framing through result interpretation - Partner with Data Science/Analytics to define success metrics, instrument events, and guard against false positives/negatives in experiment analysis - Build and maintain high-quality, scalable systems that reflect a strong understanding of your team’s domain and its impact on learners and their lifecycle - Own a specific funnel or lifecycle surface (e.g., signup, onboarding, upgrade) end-to-end, including its instrumentation and health - Apply industry best practices and modern technologies to improve code quality, system reliability, and developer efficiency - Lead and contribute to technical discussions, offering thoughtful insights and helping to align the team on the best path forward - Break down complex projects into actionable, well-scoped tasks and execute them efficiently with minimal oversight - Proactively identify and resolve issues before they affect timelines, quality, or user experience - Mentor and support junior engineers through code reviews, pairing sessions, and sharing domain knowledge - Continuously seek opportunities to improve engineering practices, from build systems to deployment pipelines to observability tools WHAT YOU BRING TO THE TABLE: - 5+ years of experience in software engineering, ideally in fast-paced, product-focused environments - Proven ability to deliver complex projects end-to-end - from design and implementation through testing and deployment - Hands-on experience with experimentation/feature-flagging platforms (GrowthBook, Optimizely, LaunchDarkly, Statsig) — running tests, not just reading dashboards - Working knowledge of experiment design fundamentals — sample size/power, guardrail metrics, novelty effects, and avoiding false-positive conclusions - Solid foundation in backend, mobile development or full-stack, with a focus on building scalable, high-quality systems and user experiences - Comfortable working with event-tracking or analytics data pipelines (e.g., BigQuery, Pub/Sub) to instrument and validate experiments - Strong problem-solving skills and the ability to make thoughtful, data-informed technical decisions - Curiosity to explore an

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