Arcade.dev is the secure action layer that authorizes, executes, and governs actions taken by production AI agents.
Everyone's building AI agents, but almost nobody gets them to production. Building an impressive demo is easy. Building an AI agent that can securely take action inside enterprise systems is hard. The moment an agent accesses customer data, executes a workflow, or makes changes on behalf of a user, authorization, governance, and trust become the real engineering challenge. Arcade is the MCP runtime that gives agents the power to do both seamlessly. We connect agents to the systems they act in, then give each one a permission slip and a paper trail - proof of what it's allowed to do, and a record of what it did. That's what makes AI safe to turn loose: real actions, on real systems, already shipping inside Fortune 100 companies. THE REVOLUTION NEEDS YOU Every AI app needs agentic tools that let AI models take real actions. Without tools, AI can only chat. With tools, AI can actually do things. We're building the definitive tools catalog, actions platform, and governance model that will unlock AI's true potential. Think Zapier for AI Actions. Think Auth0 for AI. Think really big. WHY THIS IS THE OPPORTUNITY OF A LIFETIME - Traction: Real deployments with Fortune-100 customers like Morgan Stanley and Open Table - Founder-Market Fit: Our CEO previously founded Stormpath (acquired by Okta), where he created the first Authentication API for developers. He's done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex. He knows this space better than anyone. - Dream Team: We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, Disney, and HPE who've built and founded multiple successful developer platforms. - Perfect Timing: Every enterprise is racing to put agents in production - almost none get there. The problem isn't better models, it's proving which agent can take which action, on behalf of which user, against which system. That's us. - Massive Market : We're building critical infrastructure for the biggest technological shift of our generation. Every AI app will need what we're building. - Backed By The Best: Our Series A round is led by SYN Ventures, with strategic investment from Morgan Stanley and Wipro. Our earlier investors have also backed Databricks, Clickhouse, MongoDB, Perplexity, Cohere, ScaleAI, Confluent, Elastic, and Firebase. They see what we see - this is going to be huge. The Challenge As Arcade's Platform Governance Product Manager, you will own the governance capabilities required to attract, win, and scale Fortune 2000+ companies, building the agent-native security, tool governance, and observability features businesses need to boost employee productivity safely. We believe the best enterprise platforms are built by product managers who think in systems, not features. You’ll go deep on enterprise requirements without fragmenting the platform to fit any single customer. 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 work with (and push back on) sales and engineering to build what allows businesses to safely automate work with agents at scale. What You'll Do As Arcade’s Platform Governance Product Manager you will build and own the roadmap for the intersection of our enterprise buyers, their security and platform teams, and our engineering org, translating complex, high-stakes requirements into a coherent product direction. You will focus on working towards the following goals: - Own the roadmap for our Arcade deployed enterprise customers, both self-hosted and Arcade managed. - 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 - Curate the right mix of future-facing enablement features with today’s customer needs. - Preserve a unified platform model that scales from self-serve to enterprise And 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 - CLI instrumentation Required Skills - Strong technical background and comfort partnering deeply with senior engineers - Familiarity with authentication/authorization patterns (OAuth, RBAC, scoped tokens, secrets management) - Define user personas rigorously and can design a system that balances the needs of a buyer and multiple end-users - Ability to make architectural tradeoffs in ambiguity - Experience building and selling middleware and integrations platforms and infrastructure - Experience working with enterprise customers or sales-informed product roadmaps - Judgment for when a self-serve feature set needs to graduate to top-down enterprise sales - Bias toward platforms that stay simple at the surface while holding real enterprise depth underneath - Preference for durable systems over quick fixes - Bias for AI automation including comfort prototyping product ideas and automating personal workflows. Prototyping in the AI era is writing code. Bonus Points - Experience with MCP, agentic tooling, or the AI agent ecosystem - Experience building and selling on-prem software - You’ve been a forward-deployed engineer, sales engineer, worked in software sales, or have been a software engineer before Join The Movement We're not just building a product - we're leading a movement to transform AI from just chatbots to agents that can take actions against real