Skill
Token Optimization
Data Science, Analytics and AI/ML
Token optimization refers to techniques for reducing the number of tokens (units of text) processed by large language models to lower costs, improve response speed, and stay within context window limits. Practitioners working with AI systems use strategies like prompt compression, caching, and efficient formatting to make LLM usage more efficient at scale.
Open roles requiring Token Optimization (1)
Customer Success Manager
OpenRouter
Remote (US) · $180,000 – $250,000
OpenRouter seeks a Customer Success Manager to guide enterprise clients through AI infrastructure adoption, driving usage growth and demonstrating measurable business outcomes. This role bridges technical architecture and commercial expansion for organizations deploying large language models at scale.
Listed on OpenRouter’s careers site · Apply there ↗
Roles that use Token Optimization
Related skills
Curated neighbors in the taxonomy, whether or not employers ask for them together.