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You will be updated with latest job alerts via email$ 350000 - 500000
1 Vacancy
One of our prestigious building the first proactive intelligence network a new kind of consumer social platform powered by AI. Our mission is to transform AI from a novelty into something practical social and seamlessly integrated into daily life.
Think of this as the next wave of consumer social where psychology recommendation systems and AI come together to give people what Naval Ravikant calls permissionless leverage access to intelligence at scale without barriers.
This is a zero-to-one founding opportunity. Youll help define how consumers interact with AI for the next decade alongside a small group of world-class engineers and product builders.
Build the foundation: Architect and implement the core backend systems for a consumer AI social platform.
Design for scale: Create resilient high-performance infrastructure capable of supporting millions of users.
Own the data: Develop real-time low-latency data pipelines powering ML-driven personalization and recommendations.
Full-stack mindset: Focus on backend ( Python PostgreSQL) while collaborating across frontend (React TypeScript).
Shape the product: Partner with product and design to deliver features that make AI collaborative intuitive and sticky.
8 to 10 years of engineering experience with at least 5 years in Big Tech or high-scale consumer apps.
Strong track record building and scaling systems to millions of users or #1 App Store status.
Expertise in Python PostgreSQL React TypeScript and deploying services on AWS or GCP.
Hands-on experience with AI/ML infrastructure (vector databases LLMs real-time data).
Consumer social DNA ideally with experience at Meta Snap TikTok Discord Reddit X Clubhouse BeReal etc.
Startup mindset: autonomous resourceful and able to own complex projects end-to-end.
Willing and excited to work onsite in San Francisco (South Park) 56 days/week.
Bonus: Your career path includes time outside of SF/Seattle ecosystems.
Not Required:
Salary: $350000 - $500000
Full Time