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Cascade AI is seeking an Engineering Manager to lead the team building end-user experiences for AI agents that automate HR workflows at scale. The company deploys globally with Fortune 100 customers and is backed by Gradient Ventures (Google's AI fund).
In this hands-on leadership role, you will manage and grow a team of engineers, own the architecture and quality of interfaces employees use to interact with Cascade's AI agents, and partner closely with product and design to ship reliable, high-performance experiences. You'll report directly to the CTO and own day-to-day delivery and team health.
Key responsibilities include leading and growing an engineering team with focus on technical direction and delivery; driving full-stack development of core end-user experiences including conversational interfaces and workflow surfaces; architecting frontend and backend systems supporting real-time, long-running HR workflows; making architectural decisions balancing performance, reliability, and rapid iteration; mentoring engineers through code reviews, pairing, and career guidance; partnering cross-functionally with product, design, and the AI/LLM platform team; turning user feedback into iterative improvements; and owning production excellence including monitoring, observability, and incident response.
Required qualifications: 7+ years professional software engineering experience including time leading or managing engineers; strong Python proficiency; strong cloud experience (AWS, Azure, or GCP); strong system design experience with production track record; demonstrated ability to own large multi-sprint initiatives end-to-end; strong product intuition; experience with scalable architectures and containerized deployments (Docker/Kubernetes); clear communication skills and ability to align engineering decisions with business goals.
Preferred qualifications include TypeScript/React and frontend development experience, experience with LLM-powered systems or agentic UX, familiarity with real-time or interactive experiences, frontend performance tuning and accessibility expertise, experience building high-performance user-centric interfaces in SaaS, experience scaling systems and teams during rapid growth, and background integrating with enterprise systems (Workday, ADP, UKG, ServiceNow, Slack, Teams).
The tech stack includes Python, React, Docker, Kubernetes, serverless functions on Azure and GCP, MongoDB, Elasticsearch, LangChain, LangSmith, and WorkOS for authentication.
