Redefining machine identity for the AI era—replacing static secrets with dynamic, identity-based credentials.
Forward Deployed Engineer
Location
United States
Posted
19 days ago
Salary
Not specified
Job Description
Job Requirements
- 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.
Benefits
- 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.
Related Guides
Related Categories
Related Job Pages
More Engineer Jobs
Low Voltage Engineer
Rockwell AutomationAt Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. This position is part of a job family. Experience will be the determining factor for position level and compensation. For this role, the Base Salary Compensation is from $103,680 - $155,520 with an annual target bonus of 8% of base salary. Actual pay will be based on factors such as skills, knowledge, education, and experience. We are an Equal Opportunity Employer including disability and veterans. If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Provide technical support for Rockwell Automation VFD and motion control systems
Human-Machine Teaming Engineer building software for autonomous aviation systems
Principal Software Engineer designing Python solutions for US government and Fortune 50 clients
Senior ASIC Methodology Engineer at NVIDIA redefining AI hardware development.