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Decagon
New York, United States
Source: Decagon careers · View original posting
From Decagon's posting. “We” and “our” refer to the employer.
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.
The Agent Product team at Decagon deploys mission-critical AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will lead a team building on our industry-leading AI agent platform, collaborate directly with customers and help devise long-term, scalable solutions.
Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.
As an Engineering Manager on the Agent Product team, you’ll lead a group of engineers building and 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.
Managers here are expected to operate with high ownership and technical depth while helping their teams move quickly and maintain a high quality bar. This role is for someone who enjoys mentoring engineers, partnering closely with customers and diving deep into complex system challenges to build elegant solutions that scale to millions of users.
Even better
Prior experience working with multi-modal models
Experience leading teams working on AI systems, LLM applications or agentic workflows
Compensation
$280K – $430K + Equity
This range reflects the expected compensation for this role. Compensation within the range is determined based on experience, skills, and the scope of responsibilities, with flexibility for candidates who demonstrate exceptional impact.
In addition to base salary, we offer competitive equity. Final compensation may vary based on location within the United States.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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