
51 - 200 employees
Founded 2015
📚 Education
👥 B2C
🛍️ eCommerce
💰 $110M Series D on 2021-10
Education • B2C • eCommerce
Outschool is an online learning platform offering live video chat classes taught by expert educators and tutors. It provides a wide range of classes for learners aged 3 to 18, covering subjects such as languages, math, coding, music, and art, among others. Outschool offers flexible learning options, including group and one-on-one classes, personalized tutoring, and afterschool activities, nurturing neurodiversity and accommodating various learning preferences. The platform connects students with teachers and fellow learners worldwide, enhancing their educational experience and rekindling their love of learning.
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51 - 200 employees
Founded 2015
📚 Education
👥 B2C
🛍️ eCommerce
💰 $110M Series D on 2021-10
Education • B2C • eCommerce
Outschool is an online learning platform offering live video chat classes taught by expert educators and tutors. It provides a wide range of classes for learners aged 3 to 18, covering subjects such as languages, math, coding, music, and art, among others. Outschool offers flexible learning options, including group and one-on-one classes, personalized tutoring, and afterschool activities, nurturing neurodiversity and accommodating various learning preferences. The platform connects students with teachers and fellow learners worldwide, enhancing their educational experience and rekindling their love of learning.
• Lead, mentor, and grow a small but mighty data team while remaining hands-on with data architecture, modeling, technical direction, and analytics • Contribute directly as an individual contributor, particularly in data engineering, data infrastructure, and analytics engineering, helping establish high standards for data quality, reliability, and usability • Lead data strategy and execution across Outschool’s core data systems, including Redshift, dbt, and Opensearch, and self-serve tools such as Omni, Amplitude, and Statsig • Partner cross-functionally with Product, Engineering, Marketing, Operations, Finance, and other teams to deliver trusted, decision-ready data resources and analytics • Collaborate with senior leadership to align on strategy, priorities, metrics, experimentation practices, and long-term roadmap planning • Foster a culture of data quality, ownership, documentation, self-service, experimentation, and continuous improvement through mentorship and feedback • Lead adoption of self-serve data practices across the organization, ensuring teams can access and use data effectively without requiring significant centralized support • Help define and implement modern data practices that improve speed, trust, discoverability, and leverage across analytics, experimentation, and applied AI / ML
• 10+ years of experience in data engineering, analytics engineering, analytics, data science, ML, software engineering, or related technical roles • 5+ years of management experience leading data, analytics, engineering, or ML teams, with demonstrated proficiency in performance management, career development, and people logistics • Strong experience with modern data infrastructure and analytics engineering, including SQL, dbt, data modeling, pipeline reliability, and warehouse architecture, as well building as self-serve analytics systems and practices using tools such as Omni, Looker, Amplitude, Statsig, Mode, Hex, or similar platforms • Experience with deep analytics / data science, including influencing stakeholders with data-informed decisions and strategies • Experience balancing data leadership responsibilities with hands-on technical contribution, especially in data engineering, data infrastructure, or analytics engineering • Proven ability to lead multiple complex data initiatives from planning through execution and adoption • Deep experience leveraging experimentation, A/B testing, analytics, and metrics to inform decisions • Ability to align data strategy and execution with broader business, product, and engineering priorities • Ability to guide ML Engineering work in areas such as search, recommendations, personalization, or applied automation, even if not personally the deepest ML practitioner • Excellent communication and stakeholder management skills across technical, non-technical, and executive audiences.
• Shared Financial Success: Competitive salaries, stock options, and retirement plans • Health: Comprehensive medical, dental, vision, disability, and life insurance • Wellness: Annual wellness stipend, access to coaching & therapy, and pet wellness plans • PTO & Family Benefits: Generous PTO and family leave policies • Hybrid & Remote-Friendly: Outschool has a distributed team across the U.S. and Canada and an office in San Francisco. Bay Area-based employees work in the office part of the week and receive commute-related benefits. Team members outside the Bay Area remain fully remote, with support for expensable home office setup and internet to stay connected no matter where you are. • Lifelong Learners: Annual budgets for professional development and DEI learning; budgets for children to take Outschool classes • Community Impact: Outschool matches employee donations to eligible charities and supports Outschool.org’s nonprofit programs
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