Platform for trust & safety and responsible AI operations
Cinder builds a platform that orchestrates content moderation, data labeling, and AI safety workflows for AI labs, platforms, and enterprises. It turns policies into automated enforcement using AI agents and human review to mitigate harm and ensure compliance. This enables scalable digital safety amid rising AI-generated risks.
Own Core Infra team end-to-end: set priorities, raise execution quality, and turn ICs into a self-organizing team. Requires 8+ years building production software (4+ in startups) managing platform engineers, plus deep familiarity with high-throughput and AI-powered systems.
Sources and builds outbound candidate pipelines for technical roles (engineering, data, product) using AI tools, LinkedIn, and GitHub. Owns sourcing outcomes, experiments with workflows, tracks metrics, and partners with recruiters in a fast-paced startup.
Builds and deploys production-scale AI/ML systems using LLMs, from fine-tuning and evaluation to low-latency infrastructure. Requires 5+ years experience with PyTorch/TensorFlow, MLOps, AWS, and taking models to production at high-growth startups.
Embeds with enterprise customers' Trust & Safety teams to implement and customize Cinder platform solutions, diagnose safety issues, and drive adoption of AI-powered tools for internet safety. Requires strong technical expertise, customer collaboration skills, and familiarity with safety operations.
Enterprise Account Executive generates pipeline through outbound prospecting, runs complex sales cycles, closes high-value deals with AI and platform companies, and expands existing accounts. Requires 5+ years B2B SaaS sales experience and strong technical sales skills.
Build full-stack infrastructure for enterprise trust & safety platforms, including AI content review agents, durable workflows, moderator UIs, analytics dashboards, and high-scale reliability features. Requires 5+ years across stack with end-to-end ownership and customer problem-solving.