About the role
About Traversal Traversal is the AI Site Reliability Engineer (SRE) for the enterprise—already trusted by some of the largest companies in the world to troubleshoot, remediate, and even prevent the most complex production incidents. Our mission is to free engineers from endless firefighting and enable them to focus on creative, high-impact work. Our roots remain deeply embedded in AI research, and we’re channeling that scientific rigor and creativity into building the premier AI agent lab for the enterprise. Hence, what we’re proudest of is assembling the most talented yet nicest group of individuals, including researchers from MIT, Harvard, and Berkeley, to world-class engineers from industry: Citadel Securities, Cockroach Labs, Datadog, DE Shaw, ServiceNow, Glean, Perplexity, Pinecone, and more, to take on one of the hardest problems for AI to solve. Without the entire team, none of this would be possible.
The Role As a Product Engineer at Traversal, you’ll play a key role in designing and building core features powered by our AI site reliability engineer. From the user interface to the backend and infrastructure, you’ll develop product components to enable real-time incident detection, root cause analysis, and automated remediation in some of the most complex production environments. This role will focus on the ability to work across the full pipeline of our product, and someone who can have a strong product sense while also being comfortable working around AI and data processing infrastructure will be the best fit.
Responsibilities Product Impact: Translate AI-powered insights into user-friendly features that empower engineers and reduce cognitive load. User Experience: Innovate and drive the evolution of UX/UI design, rapidly iterating based on user feedback to improve overall usability. Agent Development: Build AI agents with a mind for user-experience and capabilities like long-horizon work, proactiveness, readability, and evidence citation. API Development : Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces. Data Management : Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others. AI Integration : Collaborate with AI engineers/researchers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks. Data Visualization: Develop intuitive interfaces for presenting and interacting with complex time-series and topological data.