Shape the agentic infrastructure future
Agents are becoming operators. We are building the authority layer that lets organizations trust them with real work.
Founding talent network
Shape the future of agentic infrastructure.
Permission Protocol is building the external authority layer for autonomous AI systems — the signer boundary enterprises need before agents can act on code, infrastructure, data, credentials, and regulated workflows.
What we are building toward
External authority for AI agents
A control layer outside the agent that defines who can authorize consequential action.
Trust infrastructure for enterprises
Receipts, signer boundaries, and policy context for workflows that need auditability and accountability.
A new category of control surface
The agentic era needs primitives for authority, not just logs, prompts, or dashboards.
Live proof
Deploy Gate
Approval gates for AI-authored production changes.
ViewLive proof
Signed receipts
Signer-of-record evidence for consequential agent actions.
ViewLive proof
Incident Tracker
Public examples of failures that make external authority necessary.
ViewLive proof
Developer path
A practical path from one protected repo to enterprise rollout.
ViewWhy this exists
The next generation of AI companies will be built on explicit authority.
AI agents are moving from suggestion to execution. They will write code, change systems, request access, move data, and coordinate work across tools.
Enterprise adoption depends on an independent authority layer that makes agent actions governable, auditable, and safe to scale.
Authority before automation
Autonomy needs an explicit signer boundary: who allowed the action, under what scope, with what evidence, and against which policy.
Receipts that survive scrutiny
Every consequential agent action should leave a record that security, compliance, legal, and executive teams can reconstruct later.
What we value
- You want to help define a new infrastructure category, not optimize a familiar SaaS playbook.
- You can move between technical detail and executive-level consequence without losing precision.
- You care about trust, authorization, accountability, and durable evidence in autonomous systems.
- You are comfortable building in a market where the primitives are still being named.
How we work
- High ownership, low ego, clear writing, and strong systems judgment.
- Respect for regulated environments without being slowed down by governance theater.
- Comfort with ambiguity, early customers, and fast learning loops.
- A bias toward primitives that become infrastructure, not features that merely demo well.
Founding role areas
Help define the authority layer for autonomous systems.
We are meeting people who want to shape the agentic infrastructure category from the beginning. These role areas are high-leverage, cross-functional, and built around the authority layer autonomous systems will need.
Enterprise architecture
Founding Field CTO / Solutions Architect
Help enterprise leaders understand where AI agents need explicit authority, durable evidence, and signer-of-record controls before they can safely operate in production.
For people who can connect technical systems, risk, compliance, and executive decision-making without turning the work into sales theater.
Enterprise architectureCompliance fluencyExecutive clarity
Read full Field CTO role Agentic infrastructure
Founding Forward Deployed Engineer
Bring the authority layer into real engineering environments where agents touch code, infrastructure, tools, data, and operational workflows.
For engineers who want to define how agentic infrastructure is deployed, trusted, and governed inside serious organizations.
Production systemsSecurity-minded shippingCustomer environment judgment
Read full FDE role Governance and controls
Compliance Engineering Advisor / Operator-in-Residence
Help translate emerging AI-agent risk into authorization patterns that compliance, audit, legal, security, and executive teams can trust.
For operators who have seen how regulated workflows actually break and want to shape the controls layer for autonomous systems.
Controls expertiseRegulated workflow judgmentAudit credibility
Read full compliance role Market formation
Operating Partner / GTM Network Lead
Help bring Permission Protocol to the operators, portfolio leaders, CFOs, CCOs, CTOs, and AI-platform teams who will define enterprise adoption of agents.
For network builders who understand that agentic infrastructure will become a board-level control surface and a defining enterprise category.
PE or enterprise networkMarket judgmentCFO / CCO fluency
Read full GTM network role High-signal builders and operators
Other Founding Operators and Builders
If agent governance, authorization infrastructure, applied AI safety, enterprise control systems, or category creation are your lane, we want to know you early.
For people who see the agentic infrastructure shift before it is obvious and want to help shape the primitive layer.
Systems judgmentCategory convictionLow-ego execution
Read the talent network brief If you want to help define the agentic infrastructure future, talk to us.
We are looking for people who believe autonomous systems need explicit authority, durable evidence, and trustworthy control surfaces before they can transform serious enterprises.
Send your background