You will lead complex benchmark transformations and data deliverables while architecting workflows for LLMs and multimodal models. You will act as the CEO of your customer's business to drive success and bridge the gap between research, engineering, and production teams.
You will own the connector strategy and roadmap, ensuring reliable and scalable integrations between LILT and enterprise content systems. You will lead the full product lifecycle from discovery through launch, while collaborating with engineering and customer-facing teams to resolve technical challenges.
The Project Manager will oversee the end-to-end lifecycle of large-scale multilingual data collection and LLM evaluation initiatives. They are responsible for managing data pipelines, monitoring performance KPIs, and coordinating global teams of annotators to ensure high-quality AI development.
Manage large-scale multilingual data collection, human-in-the-loop workflows, and LLM evaluation initiatives. Coordinate with engineering and AI specialists to translate technical requirements into high-throughput data pipelines and measurable delivery plans.
Serve as the technical co-pilot for account teams, managing the customer journey from pre-sales scoping to post-sales deployment. Build reference architectures and demos while providing consultative assistance on AI-driven translation and localization implementations.