Product Lead (AI/ML, Evals)

Join Abridge, a high-growth startup focused on revolutionizing healthcare documentation. As a Product Lead in AI/Machine Learning, you will drive product strategy and execution within Note Generation, contributing to the evaluation platform and measurement systems, and ensuring specialty notes reflect clinical expectations. You will work closely with engineering, ML, design, clinical leaders, and specialty councils, and operate with a high bar for quality, speed, and accountability. Enjoy a remote work environment, equity for all new employees, unlimited PTO, and the opportunity to work with talented individuals and make a significant impact.

• Conduire la stratégie et l'exécution des produits d'IA dans la génération de notes, en façonnant la feuille de route pour un domaine clé des modèles de notes d'Abridge.
• Contribuer à la plateforme d'évaluation et aux systèmes de mesure, en aidant à construire un système d'évaluation de la qualité des notes de classe mondiale.
• Travailler en étroite collaboration avec l'ingénierie et l'apprentissage automatique pour aligner l'architecture, les calendriers d'itération des modèles et les méthodologies d'évaluation.
• Experience working closely with ML researchers and engineers to drive impact in production
• 5 to 8 years of product management experience with significant ownership of ML powered products or platform systems
• Deep understanding of how to measure and improve model quality, including evaluation frameworks, annotation pipelines, and benchmark design
• Strong communication skills and the ability to translate complex technical concepts into clear decisions and narratives
• Strong technical fluency across ML, data pipelines, and distributed systems
• Ability to balance long term architectural investments with near term quality improvements
• A track record of delivering high quality products in domains where accuracy, reliability, and trust are paramount
• You have worked on personalization systems, context ingestion frameworks, or ambient intelligence products
• You have experience shipping large scale ML products with human in the loop workflows
• You have worked on specialty specific or domain specific model adaptations
• You have worked in clinical, healthcare, or regulated environments with a high bar for accuracy and compliance
• You have experience building evaluation platforms, ML observability systems, or quality measurement pipelines