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Platform Governance Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Doist
Full Time position
Listed on 2026-07-22
Job specializations:
  • IT/Tech
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 237000 USD Yearly USD 237000.00 YEAR
Job Description & How to Apply Below

About the Role

Arcade is building a platform to enable AI agents to securely act within enterprise systems. As Platform Governance Product Manager, you will own governance capabilities to attract, win, and scale Fortune 2000+ companies, building agent‑native security, tool governance, and observability features.

Responsibilities
  • 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.
  • Initiatives include: 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, and CLI instrumentation.
Required Skills
  • Strong technical background and comfort partnering with senior engineers.
  • Familiarity with authentication/authorization patterns (OAuth, RBAC, scoped tokens, secrets management).
  • Define user personas rigorously and design systems that balance buyer and end‑user needs.
  • 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 should graduate to top‑down enterprise sales.
  • Bias toward platforms that remain simple at the surface while holding real enterprise depth underneath.
  • Preference for durable systems over quick fixes.
  • Bias for AI automation and comfort prototyping product ideas and automating personal workflows.
Bonus Points
  • Experience with MCP, agentic tooling, or the AI agent ecosystem.
  • Experience building and selling on‑prem software.
  • Background as a forward‑deployed engineer, sales engineer, or software engineer.
Compensation and Benefits

This role offers a competitive salary, equity, and benefits.

Salary Range: $237,000 USD + Equity

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