Product Manager, Enterprise Agent Platform

About the Team

The Product Management team owns Decagon’s platform and foundational features: agent building, eval, analytics, testing, experimentation, versioning, integrations, and enterprise controls. We work across every customer segment, partnering closely with engineering, design, and go-to-market to ensure our platform is robust, scalable, and easy to use.

As one of our founding PMs, you’ll help define the product foundation that every Decagon customer uses to build and run their AI agents. You’ll own initiatives end-to-end, from discovery and scoping to launch and adoption, shaping the product experience for some of the world’s most influential businesses.

About the Role

Decagon agents take action inside some of the most complex enterprise systems. You'll own everything that makes that possible. Integrations and connections, headless and SDK deployment, external APIs and developer experience, channel expansion and partnerships.

This is the least solved part of enterprise AI. Getting an agent live inside a bank means wiring into systems built decades before LLMs existed, then clearing a security organization whose job is to say no. Everything you productize unlocks the next wave of deployments across our largest customers.

In this role, you will

• Define the vision, strategy, and roadmap for developer experience, integrations channels, and enterprise readiness

• Decide what we build natively, what we make self-serve, and what we open up so customers and partners can extend it themselves

• Work with infrastructure and security on data handling, retention, and residency

• Drive channel and partner expansion with go-to-market and BD, including marketplace listings and co-sell motions

Your background looks something like this

• Have 6+ years of relevant experience (e.g., product manager, founder, engineer, researcher etc.)

• Experience building integrations, API platforms, or developer-facing products where your users are other engineers

• You've shipped something where the hard part was the long tail: many systems, inconsistent APIs, and no clean abstraction handed to you

• Experience with the requirements large enterprises impose before they'll deploy anything: security review, data handling, compliance artifacts, deployment constraints

• Strong technical acumen. You can hold your own with engineers on APIs, auth, and deployment models, and you can read a system design doc without needing it translated

• Comfort in front of enterprise customers, including technical evaluations and security reviews

• A track record of shipping features that moved a real metric, in fast-paced environments

Even better

• A Computer Science, Engineering, or Math degree, or equivalent technical experience

• Experience with iPaaS, API platforms, SDKs, RPA, or browser automation

• Experience with data privacy and residency requirements (GDPR, CCPA, HIPAA, PCI)

• Experience in a regulated industry: financial services, healthcare, or similar

• Experience with headless, single-tenant, or on-premise deployments

• Experience building or scaling a partner or marketplace ecosystem

• Experience at a startup or high-growth company

Compensation

$232K – $290K + Offers Equity

• Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• Retirement Plan (e.g., 401K, pension)

• Parental Leave

• Fertility and family building benefits through Carrot