Senior Product Manager, AI

As a Senior Product Manager - AI at Innovaccer Inc., you will play a crucial role in leading the strategy, development, and evolution of Gravity's AI platform. Your responsibilities will include owning the end-to-end product lifecycle for AI-driven platform capabilities, collaborating with cross-functional teams, and enabling faster decisions and trustworthy AI adoption across healthcare use cases. Key Responsibilities: - Define and own the product vision, strategy, and roadmap for Gravity's AI platform. - Identify opportunities to apply AI across healthcare workflows by assessing customer needs, market trends, and regulatory realities. - Translate complex requirements into clear, prioritized product roadmaps and execution plans. - Lead end-to-end feature delivery including PRDs, user stories, acceptance criteria, release planning, and iteration. - Drive high-quality UX for AI-assisted workflows, balancing automation with clarity and control. - Lead product development for AI-driven capabilities such as LLM- and SLM-powered reasoning and extraction, intelligent task automation and decision support, and workflow-driven AI execution with human-in-the-loop controls. - Partner with engineering and data science teams to productize Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG) pipelines, and ML models for classification, prediction, and risk scoring. - Define and maintain an AI evaluation framework covering accuracy, safety, fairness, and reliability. - Establish governance policies for AI model deployment, monitoring, and version management. - Ensure compliance with healthcare regulations (HIPAA, FDA SaMD guidelines) and privacy standards. - Reduce hallucinations and improve model grounding through systematic prompt and pipeline engineering. - Act as the primary liaison between clinical, engineering, data science, and commercial teams. - Translate complex AI concepts into clear, actionable narratives for executive and non-technical audiences. - Define success metrics (KPIs/OKRs) for all AI platform features and track outcomes post-launch. - Gather insights through user research, clinical feedback, and customer conversations. Qualifications Required: - 5-8+ years of product management experience, with 2+ years focused on AI/ML products. - Proven track record of shipping AI-powered products in complex enterprise environments. - Deep understanding of LLMs, SLMs, RAG, embeddings, ML pipelines, and evaluation methodologies. - Experience with healthcare data standards (HL7, FHIR, ICD-10, SNOMED) preferred. - Strong ability to write detailed PRDs, technical specs, and product narratives. - Comfort working in fast-paced, ambiguous environments with high ownership. - Excellent communication and storytelling skills across technical and non-technical audiences. Additional Details: Innovaccer Inc. is the data platform that accelerates innovation by unifying patient data across systems and care settings. The Innovaccer platform empowers healthcare organizations with scalable, modern applications that improve clinical, financial, operational, and experiential outcomes. With a commitment to fostering an inclusive and diverse workplace, Innovaccer celebrates diversity and values all employees' contributions. Please visit innovaccer.com for more information about Innovaccer Inc. As a Senior Product Manager - AI at Innovaccer Inc., you will play a crucial role in leading the strategy, development, and evolution of Gravity's AI platform. Your responsibilities will include owning the end-to-end product lifecycle for AI-driven platform capabilities, collaborating with cross-functional teams, and enabling faster decisions and trustworthy AI adoption across healthcare use cases. Key Responsibilities: - Define and own the product vision, strategy, and roadmap for Gravity's AI platform. - Identify opportunities to apply AI across healthcare workflows by assessing customer needs, market trends, and regulatory realities. - Translate complex requirements into clear, prioritized product roadmaps and execution plans. - Lead end-to-end feature delivery including PRDs, user stories, acceptance criteria, release planning, and iteration. - Drive high-quality UX for AI-assisted workflows, balancing automation with clarity and control. - Lead product development for AI-driven capabilities such as LLM- and SLM-powered reasoning and extraction, intelligent task automation and decision support, and workflow-driven AI execution with human-in-the-loop controls. - Partner with engineering and data science teams to productize Large Language Models (LLMs), Small Language Models (SLMs), Retrieval-Augmented Generation (RAG) pipelines, and ML models for classification, prediction, and risk scoring. - Define and maintain an AI evaluation framework covering accuracy, safety, fairness, and reliability. - Establish governance policies for AI model deployment, monitoring, and version