Strategic Projects Lead

Drive Customer Pipelines: Take ownership of day-to-day progress on high-priority customer pipelines, ensuring projects move forward efficiently. Calibrate Customer Needs: Work closely with customers to understand their requirements and design data taxonomies that optimize model performance. Build Complex Infrastructure: Develop and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality output. Manage Global Workforces: Assist in training, coaching, and managing global teams of data contributors, ensuring they are aligned with project goals and deliver quality work. Make Data-Driven Decisions: Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make informed decisions to optimize pipeline performance. Collaborate Cross-Functionally: Partner with stakeholders across Engineering, Product, Operations, and Go-to-Market teams to solve multi-faceted problems and drive LLM advancements. Grow Your Scope: Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines.

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale serves a wide range of clients, including major technology firms like Microsoft and Meta, large enterprises such as Fox and Accenture, generative AI companies like OpenAI, U.S. Government agencies, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that allow clients to effectively harness the power of AI. The company's goal is to enable organizations to unlock the full potential of AI in a safe and efficient manner.