AI data platform for real-world training data
Protege provides a platform connecting data holders with AI developers for secure access to curated, proprietary real-world datasets. It serves AI model builders across healthcare, media, audio, and more, addressing data bottlenecks in training, fine-tuning, and evaluation. This enables reliable AI models while monetizing data assets compliantly.
Product Manager owning the data ingestion and quality platform at Protege, turning raw partner data into trustworthy, catalog-ready assets via validation gates, metadata pipelines, QA standards, and de-identification. Requires 4-7 years PM experience on data pipelines/ingestion with hands-on SQL and raw data debugging skills.
Solutions Lead guiding healthcare customers to define, source, QA, and deliver high-quality multimodal medical datasets (EHR, imaging, claims) for AI model training. Requires deep healthcare data expertise, SQL/Python analytics, customer-facing program management, and HIPAA/privacy knowledge.
Own end-to-end discovery, solution design, and delivery for healthcare vertical AI builders. Define repeatable offerings and playbooks for a new customer segment at the intersection of commercial, product, and engineering.
As a founding Forward Deployed Engineer, you will build a new vertical from the ground up, defining its technical needs, building reusable infrastructure, and leading early customer engagements. This role requires strong engineering generalist instincts and the ability to operate in ambiguity.
Protege is hiring Forward Deployed Engineers to join their healthcare team. This role involves end-to-end ownership of customer engagements, building custom solutions, and bridging customer needs with product capabilities.
As a Senior Software Engineer, Data Processing, you will own the data processing layer at ingestion, building and operating systems that transform large-scale source data into clean, structured, AI-ready datasets. This is a hands-on, backend- and data-heavy role with end-to-end ownership of data pipelines.
As a Machine Learning Researcher specializing in audio, you will lead the evaluation and optimization of large-scale speech datasets for AI models. This involves researching audio data quality, developing new metrics and evaluation frameworks, and translating insights into practical tools to improve model performance.
As a Machine Learning Researcher, you will design and evaluate datasets, tasks, and environments for advanced AI systems, focusing on RL and agentic systems. You will develop frameworks for data quality, benchmark model behavior, and build scalable evaluation tooling.
Lead Protege's DataLab research organization, defining strategy for AI training data quality, evaluation systems, and marketplace optimization while managing researchers and partnering with Product, Engineering, and GTM.
Lead the design and validation of trustworthy benchmarks and evaluations for frontier AI models, including agentic and domain-specific tasks. Own the science of evals and annotator quality, publishing research and translating findings into production datasets.
Leads end-to-end security strategy, architecture, operations, and culture for AI training data platform. Builds compliance programs (SOC 2, HIPAA), secures data pipelines, conducts technical reviews, and fosters security-aware culture. Requires 8+ years security experience with 2+ in leadership.
Curates and delivers media datasets from Protege's catalog to meet customer AI training needs, handling data quality, normalization, and validation using SQL and embeddings. Partners with sales and product teams in fast-paced environments, requiring 4-7 years in data roles.