Senior Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the vision, strategy, and roadmap, effectively sequencing delivery across the product domain.

• Collaborate with annotators, annotation supervisors, clinical subject-matter experts, AI and data engineers, as well as customer success teams to transform needs into a cohesive, scalable product that generates research-grade and defensible outputs.

• Advocate for product principles focused on transparency, knowledge compounding, expert decision-making, and scalability through configurability.

• Operate in an AI-native, prototype-first manner utilizing LLMs and contemporary building tools to specify and rigorously evaluate ideas, deliver incremental updates, assess accuracy and throughput, and enhance processes in rapid cycles.

• Establish and measure success metrics, including extraction accuracy, inter-annotator agreement, throughput, and reduction in cost-per-dataset.

• Oversee the product release process and create launch materials in collaboration with marketing and sales teams.

• Define the vision and roadmap for the product, transforming complex clinical data into reliable, structured evidence.

⛳️ Requirements

• A bachelor's degree in a technical, scientific, or medical discipline from a respected institution.

• Extensive experience in product management, including senior-level responsibility for one or more AI-powered products or components, with comprehensive B2B product lifecycle experience and products currently in commercial deployment.

• Proven ability to work in an AI-native, prototype-first manner: hands-on experience with LLMs (e.g., Claude, ChatGPT, Gemini) and building tools (e.g., v0, Claude Cowork/Code, OpenAI Codex) to prototype, validate, and expedite product development, favoring rapid iteration over extensive upfront specification.

• Solid understanding of natural language processing (NLP), machine learning (ML), and the principles of model training, evaluation, and accuracy metrics (precision, recall, F1, inter-annotator agreement).

• Capability to comprehend business requirements and translate them into AI-driven product functionalities.

• Experience with data-intensive, enterprise-level applications, including multi-tenancy, enterprise authentication, and user management considerations.

• Previous product management experience in an agile development context, with a strong familiarity with JIRA and the ability to decompose work into well-defined epics and stories.

• Outstanding verbal and written communication abilities.

• An advanced degree such as an MBA, MS, PhD, or MD from a prestigious institution (preferred).

• Product management experience within healthcare technology firms (preferred).

• Prior experience dealing with complex healthcare data, including electronic health records, clinical notes, claims, and disease registries (preferred).

• Experience with clinical data annotation, chart abstraction, reference-standard creation, or human-in-the-loop AI workflows (preferred).

• Familiarity with healthcare data standards and vocabularies (e.g., OMOP, FHIR, CDA) and de-identification protocols (preferred).

• Experience in the life sciences domain, particularly concerning observational research studies and disease-specific cohorts (preferred).

🏝️ Benefits

• Flexible work location.

• Medical, dental, and vision benefits.

• 401K plan with employer match.

• Work-life balance.

• Opportunity to collaborate with healthcare technology visionaries.