Teams at LlamaIndex

Build and maintain benchmarks and evaluation frameworks for document understanding, run experiments, produce weekly technical content (blogs, reports, tutorials), publish analyses comparing models, contribute open-source examples and notebooks, and collaborate with ML teams to highlight capabilities and surface improvements.

As a Lead Product Manager, you'll define product vision, manage product lifecycles, engage with users, set KPIs, and collaborate across teams to shape innovative AI-driven tools.

Run full-cycle enterprise sales into AI-native software companies by executing targeted outbound, building bottoms-up champions, converting product usage into pipeline, owning technical evaluations/POCs, and expanding accounts. Maintain CRM hygiene, forecast reliably, and use AI tools to accelerate research and outreach.