Decagon jobs, judged for you, free

What they do

Decagon builds a conversational AI platform for customer experience. Companies such as Avis Budget Group, Cash App, Square, Chime, and Oura Health use it to deploy AI agents. The agents talk with customers over voice, chat, email, SMS, and other channels. Its investors include a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures.

What they value

• Just get it done: decisive action and speed over long planning.
• Invent what customers want: build for customers first.
• Winner's mindset: a fiercely competitive, fighting spirit.
• The polymath principle: understand other teams deeply and work across them.
• Work in the office, with a shared commitment to excellence and speed.

Where they hire

Decagon is an in-office company. Most of the 146 Postings are in San Francisco and New York City, and 16 are in London. A few are in Toronto, Austin, Amsterdam, Australia, and European countries such as Germany. A few senior sales and solutions roles are remote in the US. No Posting mentions visa sponsorship.

Teams and roles

• Sales: the largest group, 44 Postings. Enterprise account executives, strategic account directors, and solutions engineers.
• Engineering: software engineers for the agent platform, agent product, voice, security, and infrastructure, and research engineers for models, audio and speech, and safety.
• Customer team: agent deployment engineers, agent product managers, and agent strategy managers, who build and run AI agents for customers.
• Deployment strategists, and a Founders Office: a team of generalists and ex-founders who own partnerships, business development, pricing, and growth.
• Also people, marketing, finance, product, and legal.

What they look for

A software engineer role asks for 3+ years and Python and TypeScript. A staff platform role asks for experience owning systems from design through production. A senior research engineer role asks for 4+ years in AI or machine learning and experience post-training large language models (LLMs), which means further training a model after its first training. Agent deployment engineers need 5+ years in a technical customer-facing role and comfort writing code and working with APIs. Agent product managers need 6+ years owning high-stakes outcomes, for example as managers at top consulting firms or as product managers or founders. Sales roles ask for 4+ years and closed deals of seven figures. Many Postings ask for comfort with fast, ambiguous work. Some roles also need German or Spanish.