The Strategic Account Manager will own and grow relationships with foundation AI labs, driving multi-year deal strategies and significant GMV. They will orchestrate internal cross-functional teams to translate complex data needs into high-value solutions for customers.
Protege
14 Remote Job Openings at Protege
You will lead the development of the presentation layer, building internal dashboards and customer-facing portals for AI training data. This involves designing complex workflows, managing multimodal datasets, and collaborating across teams to ship end-to-end features.
The role involves managing accounts payable and receivable workflows, including vendor payments and customer invoicing. The associate will also support cash tracking and reporting while improving finance processes and controls.
Own the supply side of the data platform, transforming raw partner data into trustworthy, catalog-ready assets. Define validation gates, metadata standards, and QA tooling to ensure consistency across various data verticals.
Lead the solution architecture and end-to-end delivery of complex healthcare datasets for AI training. Coordinate between data partners and customers to ensure technical specifications and HIPAA compliance are met.
Build the technical foundation and reusable infrastructure for a new business vertical while leading early customer engagements from scoping to delivery. Partner with product and engineering teams to translate customer needs into core platform capabilities.
Own end-to-end healthcare customer engagements from initial scoping and technical implementation to post-launch support. Bridge the gap between customer needs and product capabilities by developing custom solutions and surfacing repeatable patterns for the platform.
Design and operate large-scale ingestion systems to transform raw multimodal data into clean, AI-ready datasets. Own the end-to-end data processing layer, ensuring high throughput, reliability, and security for sensitive data.
Lead the research and development of evaluation frameworks and metrics to optimize the quality of large-scale speech datasets. Translate research insights into scalable filtering rules and tools to improve downstream ML model performance.
Design and build high-value datasets, tasks, and environments to benchmark agentic systems and multi-step model behavior. Develop frameworks to evaluate data quality and connect model failures to specific dataset or environment gaps.
Lead the DataLab research function by defining the research agenda and building systems for AI data experimentation and evaluation. Partner with Product, Engineering, and GTM teams to translate research findings into product direction and customer strategy.
Lead the design and validation of trusted benchmarks and evaluations for frontier AI models across various domains. Develop the statistical framework for evaluation science and translate research findings into deployable datasets for customers.
The Head of Security will own the end-to-end security strategy, architecture, and operations while building the program from the ground up. This role involves maturing compliance programs, securing data pipelines, and serving as the primary security face to customers and partners.
The Solutions Engineer will connect Protegeβs media catalog with customer AI data needs, focusing on data quality and curation of media datasets. They will work with evolving partner datasets to normalize and operationalize them for AI use cases.