Enterprise Product Manager

The Revolution Needs You

We're building the actions runtime that allows AI agents to safely take real-world actions at enterprise scale.

Why This Is The Opportunity of a Lifetime

$166B has been poured into AI reasoning. The models work. But 94% of enterprise agent projects die before production… Why? Because authentication and integration, which were separate problems in the cloud era (Okta + MuleSoft), collapsed into one in the agent era. Every agent action requires both auth and integration in the same moment. We're building that unified layer - the actions runtime between agents and every system they need to touch. Auth, tools, and governance in one place.

• Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. Our CTO led the vector database team at Redis and shipped 100+ LLM applications. We're MCP contributors who wrote SEP-1036 (URL Elicitation), now the auth standard for the Model Context Protocol.

• Dream Team: Authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE. Four second-time founders on staff. We've built and scaled developer platforms before.

• Real Traction: $1M ARR in our first year with Fortune 100 customers closed in under 6 months.

• Massive Market: Identity ($32B in exits) + Integration ($24B in exits) were separate in cloud. We're building them together for agents. One layer. One company. Bigger opportunity.

Backed By The Best: Our investors backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. Arcade runs a hybrid sales motion. Enterprise deals come from Fortune 2000 AI Platform teams with transformation budgets who need security and governance across agents, or from individual developers (inside or outside an organization) choosing an agent platform for their tech stack. As Arcade's Enterprise Product Manager, you will own the platform capabilities required to win and scale Fortune 2000 companies, building the agent-native security, governance, and organizational features businesses need to boost employee productivity safely. You’ll collaborate with our Self-Serve Product Manager to ensure these capabilities are productized for broader adoption with individual developers.

We believe the best enterprise platforms are built by product managers who think in systems, not features. Each enterprise capability should extend the core platform like an octopus growing new legs from its body. You’ll go deep on enterprise requirements without fragmenting the platform to fit any single customer. You will work with (and push back on) sales and engineering to build what allows businesses to safely automate work with agents at scale.

Arcade is a pre-product market fit startup. We need someone gritty who is excited to operate in ambiguity, dive into the details, and say no strategically to build a core scalable agent action platform.

You will own initiatives such as:

• Contextual tool access

• SSO and enterprise identity integration (Entra, Okta)

• Multi-tenancy, projects, and organizational structures

• Agent telemetry for self-hosted deployments

• Audit logs, compliance tools, and administrative controls

• On-prem deployment requirements

• Triggers, events, and custom webhooks to trigger agentic tools

• Hardened and enterprise-focused toolkits

• CLI instrumentation

What we’re looking for:

• Experience building middleware and integrations platforms and infrastructure

• Bias for AI automation including comfort prototyping product ideas and automating personal workflows

• Strong technical background and comfort partnering deeply with senior engineers

• Experience working with enterprise customers or sales-informed product roadmaps

• Ability to make architectural tradeoffs in ambiguity

• Preference for durable systems over quick fixes

• Developer empathy

• Values progressive disclosure aka keeping the core platform simple to self-serve while making enterprise capabilities powerful when needed

Goals:

• Identify and prioritize platform gaps blocking signed and pipeline enterprise customers

• Build powerful security & governance features without compromising long-term architecture

• Enable successful enterprise deployments with sales and solutions engineering

• Preserve a unified platform model that scales from self-serve to enterprise

PM Working Model:

• You own what the platform can do for enterprise use cases

• Self Serve PM owns how those capabilities are presented and used across shared surfaces (e.g. what defaults are shown, reference architectures provided, determines path to production)