Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Own and improve recommendation and search systems across feed, discovery, and search. Build retrieval and ranking (candidate generation, embeddings, two-tower models), run experiments, create user/content/session representations, and ship production ML systems with monitoring to improve retention, engagement, and content distribution.

Build and maintain Sekai's analytics transformation layer: design canonical datasets, define company-wide metrics, implement data quality and freshness checks, support experimentation and cohort/funnel analysis, and partner with product and engineering to improve instrumentation and analytics tooling.

Founding Product Designer owning end-to-end UX across mobile and web. Define product DNA, visual language, interaction patterns, and design systems. Drive major product flows, collaborate with founders, product, and engineering, and iterate quickly using modern AI and design tools.

Build and ship end-to-end product features, debug and resolve production issues, partner with Product on UX and direction, use AI heavily for development and prototyping, and iterate quickly across the stack to improve quality and speed.

Build and own Sekai's native Android foundation using Kotlin and modern Android architecture. Improve app shell, lifecycle, navigation, permissions, notifications, release workflows, and hybrid integration with React Native/Flutter/WebView. Improve reliability, observability, and release quality while partnering with Product, Design, Backend, and Mobile teams to ship high-quality consumer experiences.

Build and ship React Native features across Sekai's mobile consumer app, improve performance and stability, debug production issues, integrate web/interactive content, use analytics and AI tools, and help shape long-term mobile architecture.

Lead technical execution across backend, frontend, mobile, AI, and data. Translate ambiguous product goals into technical plans, unblock hard engineering problems, coordinate cross-domain work, raise engineering quality, define hiring needs and technical evaluation standards, and build internal AI workflows to foster an AI-native engineering culture.

Owner of consumer product areas (creation, discovery, feed, sharing, retention). Turn ambiguous user problems into hypotheses, define metrics, analyze funnels/engagement, work with engineering/design/data to ship experiments, and use AI tools to accelerate research, analysis, prototyping, and execution in a fast startup environment.