Own customer outcomes end to end: Run discovery, define success criteria, design the solution, build proofs of value, and ship production deployments. We’re building playbooks and best practices in a world where playbooks and best practices don’t exist.. yet.
Help customers become agent-native: Work with customers to build and adopt agents to transform the way they work to be agent-first. Design and implement production-ready solutions that showcase how dynamic, ephemeral access controls enable safe agent-to-production workflows and unlock new possibilities for autonomous workflows.
Build repeatable processes that scale: Develop sales artifacts, agent integration templates, implementation guides, and processes to scale our customer success organization. Create the foundation that enables future teams to help customers become agent-native at scale.
Contribute to the learning machine: Shape the direction of our product and company by identifying and prioritizing customer insights, implementation challenges, and scaling needs that directly influence the roadmap.
Build the ecosystem: Work with Product to build relationships and integrations with technical partners. Ship reference implementations and develop joint demos that make Keycard easy to adopt through partners.

Ownership mindset: You take responsibility for results, thrive in ambiguity, and deliver consistently while balancing speed with quality.
Builder and communicator: You can ship production code and explain complex concepts to technical and non-technical audiences while building trust with customer teams.
Full-cycle customer experience: You’ve worked across discovery, prototype, deployment, and support, and you know how to keep teams aligned and moving.
Agent systems experience: Hands-on work with agents, tool use, orchestration, or production AI workflows, plus curiosity about where this ecosystem is going.
Security-first mindset: You default to least privilege and thoughtful risk management. Experience with identity, access control, or authentication is a plus.
Strong Candidates May Also Have: Experience with agent frameworks and emerging tool standards, including MCP and multi-agent interoperability patterns
Comfort with modern cloud infrastructure including Kubernetes, service meshes, and edge platforms like Cloudflare and Vercel
Track record in customer-facing technical roles such as solutions engineering, sales engineering, solutions architecture, or customer success engineering
Open source contributions or thought leadership in AI infrastructure, security, or identity.

Build at the Frontier: Work every day at the frontier of agent-native systems — shipping, inventing, and iterating on technology that hasn’t been built before. You’ll be given huge autonomy, the opportunity to gain mastery, and the chance to work in a team that holds each other accountable to succeed.
Truly Agent-Native Culture: At Keycard, we don’t just enable others to adopt agents — we use them ourselves to build. You’ll help shape an organization that embeds AI into its foundation as an enduring competitive advantage.
Compensation With Upside: Market-competitive salaries and generous equity packages (4-year vest, 1-year cliff) give you the security to focus on building — and the asymmetric upside of ownership in a company chasing a category-defining mission.
Comprehensive Benefits & Recharge: Health, dental, vision, and paramedical coverage for you and your family, plus 4 weeks vacation, 11 statutory holidays, and 1 volunteer day annually. We encourage at least 2 weeks off each year to fully recharge.
Tools That Keep You Ahead: A new MacBook Pro, a $500 stipend for peripherals, and the best AI tools available so you can work at the forefront of agent-native workflows.
Remote-First Flexibility: We are a remote-first team prioritizing asynchronous collaboration, with hiring focused in North and South America. Work where you’re strongest — we just want the best.

Keycard Labs

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