Member of Technical Staff - New Grad (2027 Start)
- Salary
- ₹10–20 LPA
- Location
- San Francisco, US
- Experience
- Senior
About the company & role
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Role As a Member of Technical Staff, you'll join one of four engineering teams building the systems behind Decagon's AI agents: Agent Engineering, Agent Orchestration, Enterprise Product, or Infrastructure. Engineers here own their work end to end and are trusted to make a real impact from the start. This role is for someone who dives deep into complex system challenges and builds elegant solutions that scale to millions of users. This role is designed for candidates graduating between December 2026 and July 2027. New Grad roles will be based in San Francisco or New York. Your background looks something like this Pursuing or completing a B.S. (or higher) in Computer Science or a related technical field, graduating between December 2026 and July 2027 Proficiency with Python, TypeScript, and asynchronous programming Track record of building and shipping high-quality products and features through coursework, internships, or personal projects Comfort digging into system failures across deep t