Product Manager, Enterprise Agent Platform
Decagon is hiring a Product Manager, Enterprise Agent Platform in San Francisco, United States. It pays $232k-$290k a year and Level rates it ; you can apply on Decagon.
Level's read on this job
- On Level's scale, this AI product manager role is Builds AI ●●●●: the job is building AI systems.
- Pay on this posting starts 30% higher than the typical AI product manager posting on Level.
- The posting mentions AI agents, product management and api integration among its tools and skills.
- Level classes it as a lead role.
- Decagon has 132 other open roles on Level.
AI in this role
Define the vision, strategy, and roadmap for developer experience, integrations, and enterprise agent platform at Decagon.
About Decagon
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.
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
Benefits
We proudly offer the following benefits for our full-time employees:
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
Monthly stipend to support your wellness, lifestyle, and work-life balance
Daily lunches and snacks in the office to keep you at your best
Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)
These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.
How we rate this
Product Manager, Enterprise Agent Platform at Decagon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- This job starts at
- $232k
- Typical AI product manager job
- $179k
This posting starts 30% above the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where api integration was part of your work. What did you do?
- Tell me about a project where developer experience was part of your work. What did you do?
- Tell me about a project where enterprise software was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Management, API Integration, Developer Experience, and Enterprise Software. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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