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Decagon, a leader in AI agent technology, seeks a skilled Product Manager to drive the development of enterprise-quality AI solutions. As part of an advanced team, you'll partner with clients to optimize AI implementations and ensure they meet business needs. With a focus on innovation and customer engagement, this position offers substantial growth and the opportunity to shape the future of AI solutions in various industries.
Decagon Greater London, England, United Kingdom
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This range is provided by Decagon. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
About Decagon
Decagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.
We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.
About The 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.
About The Role
On the APM team you’ll own each stage of the AI Agent building process. This can include:
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