Head of Product, Agents

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.

We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. Weve raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A

• , Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.

We're an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner's mindset, and stronger together—shape how we work and grow as a team.

Over the past few years, development of LLMs has evolved at a rapid pace. It's not enough for our customers to just "set it and forget it" when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.

The Agent Product Management team drives this journey as Decagon's in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company's businesses. As one of our early APM's, you will deploy our technology into some of the world's most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.

On the APM team you'll own each stage of the AI Agent building process. Writing and testing prompt logic for a specific customer use case

Working with a customer's executive team to define their AI roadmap

You'll become a key source of customer insight guiding our long‐term product roadmap.

APMs at Decagon own their own portfolio of agents from end‐to‐end and are trusted to make real impact. Build, Design and optimize Enterprise‐quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.

Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmap

Run tight feedback loops into Engineering — influence feature development based on real customer needs.

Represent Decagon externally — working closely with customers and prospects, participating in key deployments.

product manager, engagement manager, consultant, founder, etc.)

Deep technical acumen — able to understand and shape AI agent designs.

Strong communication and relationship‐building skills.

A Computer Science, Engineering, or Math degree — or equivalent technical experience.

Medical, dental, and vision benefits

Take what you need vacation policy

Daily lunches, dinners and snacks in the office to keep you at your best

200K – $285K + Offers Equity