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Keycard Labs

AI agent identity and access infrastructure

Founding Revenue Operations Lead

Full-TimeUpdated on 10/22/2026
No salary listed
Expert
Remote in USA
RemoteRemote-first; hiring focused in North and South America.
Sales & Account ManagementSales Operations

About the job

Requirements
  • Strategic revenue operations experience at a B2B software company, including setting definitions, building forecasts, and informing go-to-market decisions, combined with hands-on systems-building experience.
  • Hands-on expertise setting up and administering HubSpot or Salesforce, including workflows, custom objects, integrations, and reporting.
  • Comfort working with APIs, webhooks, and tools such as Clay, n8n, or Zapier.
  • Experience supporting complex, multi-stakeholder enterprise deal cycles.
  • Ability to prioritize what systems to build now versus later and document work so it can scale.
  • Ability to align Sales, Marketing, and Product on shared definitions and hold teams accountable to them.
  • Habit of automating repetitive work, including with AI agents.
Responsibilities
  • Define lifecycle stages, lead and account scoring, routing, and attribution across sales-led and self-serve paths, and align Sales and Marketing on those definitions.
  • Build capacity and headcount models that connect hiring to revenue targets.
  • Own the forecast process, pipeline reviews, and go-to-market metrics for the leadership team and Board in partnership with go-to-market leaders.
  • Work with Sales leadership on segmentation, coverage, quotas, and compensation plans.
  • Work with the post-sales team to define customer health, renewal, and expansion metrics.
  • Decide which tools to buy, build, or replace as volume grows, beginning with CRM scale and cost.
  • Monitor key metrics and flag trends, opportunities, and warning signs for go-to-market leaders.
  • Take over the go-to-market tools, including HubSpot CRM and Clay enrichment, and existing workflows; bring that work in-house within the first few months and connect data systems to automate data flows.
  • Automate event lead processing, lead routing and representative assignment, nurture enrollment, and product-qualified lead alerts, using AI and agents where appropriate.
  • Work with Product and the data partner to route trial signups and usage signals to the appropriate sales representative with context.
  • Take over HubSpot and active agency workflows, audit the setup, and fix broken elements within the first 90 days.
  • Align Sales and Marketing on funnel definitions, stages, and scoring, and build a pipeline report trusted by both teams.
  • Automate event lead processing from list receipt through representative assignment ahead of upcoming major events.
  • Recommend a go-to-market tool stack and a plan for growing the operations function after the company’s motions become repeatable.
Desired Qualifications
  • Light scripting or SQL experience.
  • Experience with product-led or self-serve funnels.
  • Experience at a developer tools, infrastructure, or security company.
  • Experience establishing pricing and deal desk processes during an upmarket transition.
  • Experience preparing go-to-market metrics for fundraising or Board meetings.
  • Experience managing go-to-market agencies or contractors, or hiring and leading an operations team.
  • Experience working directly with go-to-market executives.

About the company

Keycard Labs builds the infrastructure that connects AI systems to global identity networks. It provides the integration layer and core systems needed for secure, scalable access control for AI workloads, targeting developers and organizations. Its products are designed to simplify identity management and enable seamless connectivity across networks, through secure, scalable infrastructure and open-source collaboration. The company differentiates itself by specializing in machine identity and access control for AI agents, combining security, identity networks, and developer-friendly tooling. Its goal is to empower developers with robust infrastructure to securely and efficiently run AI workloads, across networks and environments.

Company Size

11-50

Company Stage

Series A

Total Funding

$38M

Headquarters

Cole Harbour, Canada

Founded

2025

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Simplify Jobs

Simplify's Take

What believers are saying

  • June 2026 funding totaled $38 million from Andreessen Horowitz, boldstart, and Acrew.
  • Chime reported production agents within days, validating urgent enterprise demand.
  • July 2026 hiring for identity, data, and console roles shows active product expansion.

What critics are saying

  • Anthropic and Microsoft standardized enterprise-managed MCP auth in August 2026, compressing Keycard's wedge.
  • CyberArk and Okta already extend identity controls to agents, intensifying platform competition.
  • Early-access gating and one public customer, Chime, signal weak market proof versus larger suites.

What makes Keycard Labs unique

  • Keycard ships task-scoped agent identity, not shared API keys, across every hop.
  • May 2026 launch added multi-agent delegation with Python, TypeScript, and Go SDKs.
  • Anchor.dev acquisition brought certificate-management talent from Cloudflare, GitHub, and Heroku.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • Paid Vacation
  • Paid Holidays
  • Remote Work Options
  • Home Office Stipend

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

17%

2 year growth

-5%
Help Net Security
May 15th, 2026
Keycard helps developers secure autonomous AI agents with scoped access.

Keycard helps developers secure autonomous AI agents with scoped access. Keycard has announced Keycard for Multi-Agent Apps, extending its platform to support delegated, session-based access across systems of autonomous agents. Keycard lets developers build apps where every agent has its own identity, access is scoped to each task and every action is fully attributable across agents, users and systems. "Enterprises are rebuilding business functions around AI agents. Right now the developers building these systems have to choose: give agents broad access and they're ungovernable or lock them down and lose what makes them valuable," said Ian Livingstone, CEO of Keycard. "Agents built using Keycard don't experience this trade-off, as they have their own identity, delegate access per-task and operate with no standing privileges or static credentials." "We wanted our engineers deploying agents and tools into production without needing to be security or identity experts. Keycard's platform made that possible. We had agents running against production systems in days," said Dennis Yang, Principal Product Manager for Generative AI at Chime. Multi-agent architectures are becoming the standard approach to building AI apps, with specialized agents increasingly being used by general-purpose agents to complete complex tasks across software development, operations, sales, marketing, finance and more. The problem is structural: most teams rely on shared API keys, inherited credentials or persistent access to connect these agents, none of which limit access to what the task actually requires. This is compounded as agents gain more autonomy: an agent can delete a database or exfiltrate confidential information without any human overseeing it. Traditional approaches to service identity and access control were designed for a world of human operators, not agent-to-agent delegation, and without it, the risk shifts from isolated misuse to systemic failure. Keycard for Multi-Agent Apps solves this by giving every agent verifiable identity without long-lived API keys or credentials on disk. Developers can build agents and tools using Keycard's SDKs for Python and TypeScript. When an agent starts, it automatically receives its identity through runtime attestation. When a user or agent initiates a task, Keycard creates a session that binds every action to the originating user and request, supporting three delegation patterns: * Agents acting on their own behalf across multi-hop workflows, each with scoped identity and delegated access. * Agents acting on behalf of humans or other agents through explicit delegation, preserving the full chain of authority from the originating user to every downstream agent. * Agents impersonating other agents or humans under policy constraints for specific operational workflows, with complete audit transparency. All three patterns use the same SDK, the same policy engine and the same control plane. Agents discover and authenticate one another automatically using Client ID Metadata Documents. As agents delegate work to other agents or call tools, Keycard evaluates policy as part of every token exchange using OAuth 2.0 Token Exchange (RFC 8693), scoping access to the task and narrowing permissions at each hop so no agent ever holds more privilege than the task requires or policy allows. Every token in the chain is traceable, revocable and expires with the session. Keycard for Multi-Agent Apps gives developers the tools to build and ship multi-agent apps that work across clouds and gives security teams the controls to govern them: * Import identity, instead of building it. Keycard's SDKs for Python, TypeScript and Go integrate with LangChain, Mastra and more, giving developers identity, delegation and access control as primitives they can drop into any agent or tool. * Work with any agent. Natively accessible to ChatGPT, Claude, Codex and any agent or tool that speaks MCP, A2A or OAuth 2.1 including OpenClaw and Pi. * Deploy across any platform. Runs on Vercel, Cloudflare, Fly.io, AWS, GCP, Azure and more. Identity travels with the agent with no static secrets to provision, rotate or protect. * Connect agents to any tool or service. The same scoped, session-bound credentials that govern agent-to-agent access work for connecting to APIs, databases and SaaS platforms. * Control what every agent can do. Developers and security teams set policies that control which agents can access which resources, what they can delegate and how far permissions can travel. Any change in policy triggers revocation across affected agents and sessions. * No token management required. Keycard manages the full token lifecycle, from issuance, storage and rotation to attenuation and revocation, across every agent and session. Behind it all, the Keycard platform provides identity federation and tracking via OIDC, SCIM and near-real-time audit logging across every agent interaction. It is the same system powering Keycard for Coding Agents. They give organizations a single platform for adopting, building, deploying and governing agents and connecting them to services, whether built or bought. More about

Associated Press
May 14th, 2026
Keycard launches identity and access platform for multi-agent AI apps

Keycard has launched Keycard for Multi-Agent Apps, a platform providing identity and access control for autonomous AI agent systems. The solution gives each agent its own identity and scopes access to individual tasks without requiring static credentials or API keys. The platform supports three delegation patterns: agents acting independently, agents acting on behalf of humans or other agents, and agents impersonating others under policy constraints. It uses OAuth 2.0 Token Exchange to evaluate policy during every token exchange, with all tokens traceable and revocable. Keycard integrates with frameworks including LangChain and Mastra, works across cloud platforms like AWS, GCP and Azure, and supports agents including ChatGPT and Claude. The platform is backed by Andreessen Horowitz, boldstart ventures and Acrew Capital, and is now available in early access.

Yahoo Finance
Mar 19th, 2026
Keycard launches runtime governance for autonomous coding agents

Keycard, a provider of identity and access solutions for AI agents, has launched Keycard for Coding Agents, enabling organisations to deploy autonomous coding workflows whilst maintaining security controls. The platform integrates with major coding agents from OpenAI, Anthropic, Cursor and open-source offerings like OpenClaw and OpenCode. The solution addresses growing challenges as coding agents evolve from autocomplete tools into autonomous systems. Security and platform teams face difficulties managing multiple agents across repositories, each requiring separate configuration whilst operating without human oversight and accessing sensitive data. Chime reported deploying agents into production within days using the platform. Keycard will demonstrate the product at booth 2351 at RSA Conference's Moscone South Expo. The company's core platform is already in production.

SiliconANGLE Media
Feb 10th, 2026
Keycard acquires Anchor.dev to manage AI agent identity and access security

Keycard Labs, a startup developing identity and access security for AI agents, has acquired Anchor.dev, a security certificate management company. Financial terms were not disclosed. The acquisition brings in a team with experience providing developer infrastructure for companies including Cloudflare, GitHub and Salesforce's Heroku. Keycard addresses security risks when AI coding agents like Cursor and Claude Code access live production systems by providing short-lived, task-based credentials with clear guardrails. Founded by CEO Ian Livingstone, Keycard aims to enable AI agent autonomy whilst maintaining security controls. The platform offers protocol-agnostic access management, per-action auditability and optional human approval for sensitive operations. Wesley Beary, former CEO of Anchor.dev, has joined Keycard following the acquisition.

SiliconANGLE Media
Nov 20th, 2025
Keycard Acquires Runebook for AI Security

Keycard Labs Inc., a startup specializing in identity and access security for AI agents, has acquired Runebook. This acquisition aims to help companies safely adopt AI agents and tools. Keycard's platform provides access management for AI agents, allowing developers to set specific roles and permissions. It enables "per-task" permissions and allows for quick removal of permissions once tasks are completed, enhancing security and control over AI agent activities.