Compared with the selected benchmark ("All roles in San Francisco, United States"), this listing's salary midpoint is about 84% higher. The offer sits above the benchmark range (€8,681–€13,311). The offer's range width is broadly in line with the benchmark. This benchmark is based on 2 comparable listings.

Monthly salary comparison for Agent Product Manager
Market	Lower bound (25th percentile)	Median	Upper bound (75th percentile)
All roles in San Francisco, United States	€8,681/per month	€10,996/per month	€13,311/per month

About the role

About Decagon: Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. We work with Fortune 500 clients to transform customer interactions across channels. We are an in-office company with values: Just Get It Done, Invent What Customers Want, Winner’s Mindset, The Polymath Principle. About the Team: Agent Product Managers drive transformation at the C-suite level, owning the roadmap and the end-to-end implementation. About the Role: You will own the successful delivery, adoption, and expansion of AI solutions for Decagon’s customers, serving as the primary technical and strategic owner. You will lead the largest, most complex deployments, acting as the direct owner for each account’s agents end-to-end and coordinating with cross-functional teams. Your background should include 6+ years of experience, strong technical acumen, and executive presence. Compensation: $200K – $285K plus equity. Benefits include medical, dental, vision, life insurance, retirement plans, parental leave, and more.

Job Details

Responsibilities

Own the technical win on Decagon's largest strategic opportunities by partnering with Sales, Solutions Engineers and Forward-deployed engineers to build AI agents.
Serve as executive partner to the C-suite, defining and driving AI transformation roadmap and owning the relationship from first conversation through production.
Design, build, and optimize enterprise-grade AI agents in production.
Turn frameworks and playbooks into reusable assets across accounts.
Direct Forward-deployed engineers and partner teams to deliver at scale.
Run feedback loops into Product and Engineering to shape the product.