Teams at Cinder

Build and own AI-focused demand generation at Cinder, including pipeline strategy, positioning, case studies, thought leadership, events, timely campaigns, attribution, lead scoring, and sales handoff. The role requires creating programs from zero, measuring marketing-sourced pipeline, and translating AI trust and safety concepts for generative AI buyers.

Build and ship production machine learning systems for content abuse detection, including data pipelines, classifiers, LLM evaluations, inference infrastructure, monitoring, and model evaluation. Optimize precision, recall, latency, cost, and throughput while partnering with engineering and data teams. Develop moderator intelligence features, build training and serving platforms, establish metrics infrastructure, and mentor teammates. The role requires end-to-end ownership in a startup environment, from messy data and feature engineering through deployment and production monitoring.

Own end-to-end product design for assigned surfaces, from discovery and customer research through high-fidelity prototyping and shipped UI. Partner closely with product and engineering, translate insights into actionable Linear tickets, and help evolve the design system. Contribute to brand, website, marketing, and GTM projects as needed. Participate in design critiques, uphold craft standards, and proactively address design debt while shaping design practices at an early-stage company.