Top Tech Jobs & Startup Jobs in Boston, MA

As a Customer Success Manager, you will manage customer relationships, drive satisfaction and retention, and build internal processes for scaling success within healthcare.

Work directly with health systems to validate, transform, and analyze large structured and unstructured clinical datasets. Build and operationalize ML/LLM models and pipelines, deliver data-driven insights to customers, collaborate with engineering, product, and customer success, and create reusable playbooks to improve clinical and operational outcomes.

Lead finance strategy and reporting: build financial models, analyze drivers of spend and growth, support fundraising and due diligence, partner cross-functionally, implement financial systems, and communicate with CEO and board.

Own end-to-end product design for an LLM-powered healthcare platform. Design and prototype intuitive, accessible interfaces for clinical users, collaborate with engineering, product, and clinical teams, and shape design culture and processes as an early-design hire.

Lead and mentor ML engineers and data scientists, overseeing ML strategy and development of scalable models for healthcare applications.

Design, develop, and deploy scalable ML software systems for healthcare. Collaborate with teams to improve products and ensure performance and reliability.

As a Research Scientist, you will develop innovative machine learning techniques for clinical applications, design large language models, and collaborate with engineering teams while advancing NLP research.

As a Data Scientist, you will advance applied ML capabilities for healthcare, develop LLM-based chart abstraction techniques, and enhance data science best practices.

Design and develop scalable ML systems for healthcare, collaborating with teams to enhance products and maintain efficient infrastructures.

Own and expand a portfolio of enterprise health system accounts, serve as executive sponsor, drive retention and growth, build expansion strategies, lead account planning and QBRs, partner with Product and Engineering to accelerate time-to-value, and translate customer needs into product and GTM insights.