Staff Software Engineer, Product

New York City · USD 200,000-400,000 · 7+ years experience · Full-time · Onsite · Posted Oct 16, 2026

At a glance

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.

You'll design and build the systems that let customers configure, train, test, and monitor sophisticated AI agents with confidence.
You'll work day to day with product and design, owning features end to end from technical architecture through deployment and iteration.

Eliminate manual work by building self-serve functionality for agent configuration, training, and deployment
Design configuration abstractions that balance power and simplicity, handling diverse enterprise use cases while staying usable by non-technical teams
Build AI-powered tooling that lets CX and ops teams create and manage complex agent workflows without writing code
Build monitoring, tracing, and analytics that surface actionable signal, so customers can see where an agent is failing and why
Handle agentic systems at scale, touching critical flows for Fortune 100 companies
Run evaluations on new text and voice models, then integrate the ones that win into production traffic

7+ years building software products, with strong product thinking
Proficient in Python, comfortable working across the entire stack
Experience translating complex technical capabilities into simple, usable interfaces
Complex systems instincts, including asynchronous programming and the failure modes that only appear at scale
A high degree of comfort debugging system failures in deep technology stacks, using whatever tool gets you to the answer
A knack for turning customer asks into clear, well-scoped product and technical specs
Judgment about when to ship fast and when to slow down and build it correctly