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