Posh Offices

Leads Posh’s unified data and ML organization of eight across data science, machine learning, and analytics/data engineering. Owns discovery, ranking, recommendations, search, experimentation, causal inference, data infrastructure, AI-native analytics, and technical roadmap development. This player-coach role requires mentoring senior and mid-level talent, conducting hands-on model and experiment reviews, improving ML foundations, and translating product goals into measurable technical investments.

Design and scale Posh’s AWS cloud infrastructure for millions of users. Build infrastructure-as-code, CI/CD pipelines, observability, automation, and developer tooling; improve reliability, security, performance, and cost efficiency. Collaborate with engineering, data, security, and product teams, investigate scaling bottlenecks, and mentor engineers on infrastructure and secure deployment best practices.

Lead architecture and implementation of complex full-stack features for a live-events platform. Drive scalable, reliable, and high-performing systems; contribute across frontend, backend, databases, and infrastructure; build data-driven tools; mentor engineers; and collaborate on technical decisions and product experimentation.