Currently tracking 6 active AI roles, with 11 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $139k–$316k (avg $217k).
| Title | Stage | AI score |
|---|---|---|
| Senior Infrastructure Engineer, Cloud Senior Infrastructure Engineer to improve reliability and stability of Webflow's customer-facing production infrastructure. This role will own and evolve the cloud substrate, design and maintain the networking fabric, build and enforce guardrails, drive FinOps, and partner on capacity planning. A key responsibility is to build and maintain AI-powered automation for infrastructure management, including policy-as-code, drift detection, and LLM-assisted runbook generation. The role requires experience with AWS, Kubernetes, and infrastructure-as-code tools, with a strong emphasis on automation and a proactive embrace of AI. | Serve | 5 |
| Senior Staff Software Engineer, Distributed Systems Senior Staff Software Engineer to lead the technical future of Convert, Webflow's AI-native suite of products for experimentation, personalization, and revenue generation. This role involves architecting and evolving high-throughput distributed systems and data infrastructure that support AI/ML capabilities, serving large enterprises. The engineer will set technical vision, lead cross-team initiatives, and ensure operational excellence for AI-powered backend systems. |
| Serve |
| 5 |
| Staff Software Engineer, Assets Staff Software Engineer, Assets role at Webflow, focusing on architecting, designing, and evolving backend systems, platform services, and APIs. This role involves partnering with data scientists and ML engineers to productionize AI/ML capabilities and integrate models into reliable backend infrastructure, while also designing and scaling distributed systems and data storage. The position emphasizes technical leadership, mentorship, and working across the full product lifecycle in a remote-first, AI-native Digital Experience Platform company. | Serve | 5 |
| Senior Backend Engineer, Assets Senior Backend Engineer to build and maintain AI-native backend systems for a Digital Asset Manager. This role involves integrating AI/ML capabilities into production systems, focusing on scalability, reliability, and performance. The engineer will collaborate with data scientists and ML engineers, work across the full product lifecycle, and contribute to backend architecture. | Serve | 5 |