About Decagon
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.
Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've 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.
About the Role
As the leader of our Agent SWE team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.
Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of both engineers and engineering leaders, dive deep into complex system challenges and builds elegant solutions that scale to millions of users.
In this role, you will
Rapidly hire and build out a world class team of engineers and engineering leaders in San Francisco, New York City and London
Lead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retention
Collaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agents
Partner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research efforts
Contribute to team strategy and help define the future of AI customer support agents
Your background looks something like this
Have 5+ years of engineering management experience
Have 10+ years of industry experience in software engineering
Ability to drive strategic direction of our Agent Engineering organization while also being able to get into the lowest level of detail as needed to solve key issues
A high degree of comfort digging into systems failures within deep technology stacks using any tool necessary
Prior experience working with multi-modal models
Benefits
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
Compensation
$350K - $450k + Offers Equity
