Forward -Deployed Engineer, AI Platforms, SF

• Impact: When a proof of concept becomes a production deployment, it will be because you made it work end-to-end.
  


• Excellence: You’ll work alongside engineers who understand both deep infrastructure and enterprise sales motion, operating at the intersection of the two.
  


• Ownership: You will own customer outcomes—from the first technical deep dive through successful rollout and early adoption.
  

• Lead technical outcomes for enterprise POCs, from scoping to success criteria to implementation.
  


• Run pre-sales deep dives, demos, and architecture working sessions with customer engineering and security teams.
  


• Troubleshoot integrations in complex environments (identity, access, networking, security tooling, observability).
  


• Design and build custom configurations or one-off solutions when the standard implementation path is not enough.
  


• Run onboarding and enablement sessions to get customer teams comfortable building on the platform.
  


• Be the go-to technical expert in the room during sales cycles, handling hard questions from senior engineers and architects.
  

Requirements

• 5+ years in a forward-deployed / solutions / sales engineering / consulting-type role, ideally with a strong CS or software engineering background.
  


• Real technical depth: you can read, write, and debug production-grade code independently, not just wire up demos.
  


• Hands-on experience building or integrating AI agents or AI-powered workflows, with opinions on architecture, memory, and tool design.
  


• Depth in at least one relevant area such as identity and auth, security tooling, agent frameworks, protocol / integration design, networking, deployment, or observability.
  


• An AI-native working style—you use AI tools to build faster and better, not just as a chat interface.
  


• Executive presence: you’re comfortable sitting across from senior technical and business leaders, asking sharp questions, and steering the conversation.
  


• High agency and ownership: when something is blocked, you push it forward, pull in the right people, and keep going until it’s solved.
  

• Prior experience in a similar role at a high-growth B2B SaaS or infrastructure startup.
  


• Open-source work, writing, or talks related to agents, identity, policy, security, or adjacent infrastructure topics.
  

Benefits

• Competitive salary and meaningful equity, calibrated to the impact and visibility of this role.
  


• Generous paid time off, including vacation, sick time, and parental leave.
  


• Budget for conferences, courses, and certifications across AI, enterprise software, and customer-facing excellence.
  


• High-end equipment and tools to support how you work best.
  


• Comprehensive health, dental, and vision coverage.
  


• Direct exposure to innovative customers who are actually putting AI into production, and the chance to see your work deployed in their environments.