Senior Agent Product Manager

Decagon
New York City2025-08-26OnSite

About the job

This role owns the successful delivery, adoption, and expansion of AI solutions for Decagon's customers, serving as the primary technical and strategic owner. You earn trust with the customer's leadership team, scope a solution that solves their problems, and then build the working AI agent. You are the direct owner for each account's agents end-to-end, partnering with our Strategic Account Directors, Agent Strategy Managers and Forward Deployed Engineers to scale the agent in production and grow it into a core part of how the customer's company runs.

Responsibilities

- Own the technical win on Decagon's largest strategic opportunities, partnering with Sales, Solutions Engineers and Forward-deployed engineers to build working AI agents that turn sophisticated, skeptical buyers into signed customers.

- Serve as the executive partner to the C-suite of Fortune 500 companies, defining and driving their AI transformation roadmap and owning the relationship from first conversation through production and expansion.

- Design, build, and optimize enterprise-grade AI agents in production, going deep on each customer's workflows, pain points, and goals.

- Turn the frameworks and playbooks you develop into reusable assets that scale across accounts and feed directly into Decagon's product roadmap.

- Direct Forward-deployed engineers and partner teams to deliver at scale while you stay accountable for the outcome.

- Run tight feedback loops into Product and Engineering, shaping the product based on what you learn on the front lines of our most demanding deployments.

Qualifications

Minimum

- 6+ years of experience owning ambiguous, high-stakes outcomes and earning the trust of senior executives. This includes engagement managers, project leaders, and senior managers from top consulting firms, as well as product managers, founders, and forward-deployed or solutions roles at high-growth technology companies.

- A builder's instinct. You want to design and build the actual solution, not just diagnose the problem or manage someone else who builds it.

- Strong technical acumen. You can understand and shape AI agent designs and hold your own in a technical conversation with both engineers and executives.

- Executive presence and a track record of becoming a trusted advisor to senior decision-makers at large, complex organizations.

- Comfort operating in fast-moving, ambiguous environments where you shape the solution as much as you implement it.

Preferred

- A Computer Science, Engineering, or Math degree, or equivalent hands-on technical experience.

- An MBA, or equivalent experience at the intersection of business strategy and technology, is a plus.

- Experience selling, deploying, or advising on enterprise software or transformation programs at the Fortune 500 level.