About the role
Outsmart is a mission-driven, early-stage startup reimagining higher education for the age of AI by creating an entirely new collegiate experience that expands access and opportunity. Backed by $38M from top venture firms including Khosla Ventures, Forerunner, DST Global Partners, and Lightspeed, the company is led by former Duolingo executives and a founding team that also includes Emmy Award winners. With a strong culture centered around high-impact, detail-oriented team members, Outsmart is already seeing significant traction, generating 1–5 million weekly organic views on social media. What You’ll Be Doing You'll work with a highly talented and collaborative team to develop Outsmart's math learning experience from curriculum architecture through content creation, assessment design, and learner feedback loops. You'll work closely with product managers, engineers, and fellow learning designers to build rigorous, engaging, and scalable math courses that bring joy back to learning. As an AI-native company, you'll also shape how AI tools and data insights are woven into curriculum development, content generation, and continuous improvement.
Who You Are Advanced degree in a core science discipline, Science Education, or a closely related field preferred 3+ years designing college level science curriculum (online or hybrid experience a plus) Broad scientific fluency — comfortable stewarding courses across multiple disciplines, not just your home field Proven experience building technology-enabled learning experiences in collaboration with product and engineering teams Fluency with education technology and AI-assisted content workflows Familiarity with science education standards and frameworks (e.g., NGSS, scientific practices, inquiry-based design) Strong communicator who can translate pedagogical rationale for non-technical audiences
Bonus: experience with virtual labs, simulation-based learning, A/B testing educational content, or app-based course design What You’ll Work On Science curriculum end-to-end — course architecture, learning outcomes, sequencing, and mastery-based progression across biology, chemistry, physics, and earth sciences Assessment strategy — formative and summative assessments that accurately measure scientific understanding and inform course iteration Interactive content and tooling — virtual labs, simulations, data visualizations, and interactive notebooks that make abstract concepts tangible AI-assisted content pipelines — developing and validating workflows that use AI to generate, review, and scale high-quality science content Data-informed iteration — interpreting qualitative and quantitative learner data to identify gaps, improve engagement, and drive efficacy Cross-functional collaboration — working with Product, Engineering, and Learning Design to ship technology-enabled science experiences on schedule What Helps You Succeed You thrive in ambiguity and are energized by building from scratch You balance academic rigor with startup pragmatism — you know when to ship and iterate You think like a product builder, not just a subject-matter expert — you care about the learner experience at every click You take ownership without being asked and surface risks early You're excited about AI's role in education and know where human judgment is non-negotiable You care deeply about access and the students behind every learning outcome Salary Range: $100K–$170K
