Senior Product Manager

SENIOR PRODUCT MANAGER — AI & EDTECH About the Opportunity Join a fast-growing AI company transforming K–12 education. You'll own complex, high-impact products end-to-end, working directly with engineering, design, and go-to-market teams to turn ambiguous problems into products that reach users fast. This role suits a product leader who thrives with high ownership, moves quickly, and builds where there's no existing playbook. What You'll Do Own a product domain from strategy through execution and iteration Translate ambiguous customer and business problems into clear roadmaps Partner with engineering, design, and GTM to prioritize and ship Drive multi-surface initiatives spanning AI/ML, workflows, UX, and backend Make sharp trade-offs with a strong bias toward shipping Work directly with customers and feed feedback into product decisions Lead zero-to-one initiatives and build structure where none exists Balance customer needs, technical constraints, and business priorities Move fast in a fast-shifting environment Help build AI-native experiences that improve educational outcomes What We're Looking For 5–8 years in product management, ideally in AI/ML, SaaS, or complex tech Experience at an AI startup or AI-focused tech company Strong product intuition and independent decision-making Technical fluency; CS, Engineering, or related background a plus Track record working closely with engineering and design Strong communication skills, including with external stakeholders Experience shipping products from concept through launch and iteration Comfortable with high ownership in a fast-paced startup Scrappy, decisive, low-ego, execution-oriented Mandarin proficiency required (San Francisco role only, for collaboration with the Shanghai team) Why This Is a Great Opportunity High ownership — own product areas, not just features AI-native — build directly on AI/ML and LLM technology Visible impact — small team, direct line from your work to outcomes Zero-to-one — most of the product is net new Strong technical collaboration — work alongside AI/ML, frontend, backend, data, and automation engineers Mission-driven — improve and personalize learning at scale Access to leadership — regular exposure to founders and senior leaders