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Cascade AI builds AI agents that automate real HR work at scale—from onboarding and open enrollment to leave of absence, compensation, and employee support. The agents execute workflows, integrate deeply with enterprise systems, and deliver conversational help to employees globally. Deployed by Fortune 100 companies and backed by Gradient Ventures (Google's AI fund), Cascade is one of the fastest-growing companies in HR technology.
You will lead and grow a team of engineers, owning day-to-day execution, technical direction, and team health. You'll drive full-stack development of Cascade's core end-user experiences: conversational interfaces, workflow surfaces, and agent-driven interactions. Your responsibilities include architecting frontend and backend systems that support real-time, long-running HR workflows; making and guiding architectural decisions that balance performance, reliability, and rapid iteration; mentoring and developing engineers through code reviews, pairing, and direct guidance; and partnering cross-functionally with product, design, and the AI/LLM platform team to define roadmap priorities.
You will turn user feedback into iterative improvements that increase clarity, trust, and engagement, and own production excellence including monitoring, observability, and incident response. You'll report directly to the CTO and operate with significant autonomy in a hands-on leadership role.
The tech stack includes Python, React, Docker, Kubernetes, serverless functions on Azure and GCP, MongoDB, Elasticsearch, LangChain, LangSmith, and WorkOS for auth.
REQUIREMENTS:
- 7+ years of professional software engineering experience, including time leading or managing engineers
- Strong proficiency in Python (required)
- Strong cloud experience (required)—depth in at least one major cloud provider
- Strong system design experience (required) with a clear track record of designing robust systems deployed to production
- Track record of owning large, multi-sprint initiatives end-to-end and shipping them
- Strong product intuition—able to turn ambiguous requirements into concrete, elegant technical plans
- Experience with scalable architectures and containerized deployments (Docker/Kubernetes)
- Clear communicator who can align engineering decisions with business goals and operate with autonomy
PREFERRED:
- TypeScript/React and frontend development experience
- Experience with LLM-powered systems or agentic UX
- Familiarity with real-time or interactive experiences (streaming, async workflows, event-driven systems)
- Frontend performance tuning and accessibility expertise
- Experience building high-performance, user-centric interfaces in a SaaS environment
- Experience scaling systems and teams during periods of rapid growth
- Background integrating with enterprise systems (Workday, ADP, UKG, ServiceNow, Slack, Teams)
