Senior Product Manager, AI Platform

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

📋 Description

• Oversee the product lifecycle for an AI platform workstream, from strategic planning to launch and subsequent analysis.

• Establish product vision, strategy, and roadmap that align with the AI platform roadmap and organizational objectives.

• Perform market research, competitive analysis, and gather customer feedback.

• Convert business requirements and user needs into product specifications, user stories, and acceptance criteria.

• Collaborate with engineering, architecture, applied AI, data science, design, clinical, and operations teams.

• Prioritize the product backlog, managing feature development and resource allocation.

• Create go-to-market and adoption strategies, including positioning, messaging, and enablement materials.

• Track product performance, analyze key metrics, and promote iteration.

• Articulate product value to both internal and external stakeholders.

• Mentor junior product managers and team members.

• Collaborate with data science and engineering leaders on scalable AI architectures, model evaluation frameworks, and criteria for production readiness.

• Manage proof-of-concepts and pilot initiatives.

• Prioritize AI features based on customer value, operational efficiency, and technical feasibility.

⛳️ Requirements

• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Engineering, Business, Healthcare Administration) or equivalent practical experience.

• A minimum of 5-7+ years in product management, with a strong focus on software products within the healthcare technology sector.

• At least 2 years of experience managing platform, infrastructure, data, or API products utilized by other engineering teams.

• Proven success in launching and managing complex software products.

• Demonstrated experience in defining and implementing product strategy, roadmaps, and go-to-market plans.

• Familiarity with modern AI technologies, including model selection, prompting and orchestration, retrieval-augmented generation, fine-tuning versus prompting, and agentic patterns.

• Ability to collaborate with architects and engineers on technical trade-offs, build versus buy versus partner decisions, canonical data models, and API and event contracts.

• Experience delivering software in regulated environments with sensitive or protected data (PHI/PII), including audit, traceability, and access-control requirements.

• Strong analytical capabilities with a focus on data-driven decision-making.

• Excellent communication, presentation, and interpersonal skills.

• Familiarity with Agile methodologies such as Scrum and Kanban.

• Proficiency in product management tools like JIRA, Confluence, and Aha!

• Ability to juggle multiple priorities in a fast-paced work environment.

• Access to high-speed internet with a minimum of 10 Mbps at home.

• Completion of a comprehensive background check, in-person I-9 verification, and potential drug screening prior to employment.

• Submission of government-issued photo ID and identity verification during interviews.

🏝️ Benefits

• Work/life balance.

• Flexible work arrangements.

• Autonomy in accomplishing tasks.

• Health insurance benefits for eligible employees.