Senior Product Manager, ML Platform

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager, ML Platform based in the United States.

This role offers the opportunity to shape the future of AI-powered healthcare technology by building scalable machine learning platforms and capabilities that enable innovation across an organization. The Senior Product Manager, ML Platform will partner closely with engineering, data science, and product teams to define strategy, prioritize initiatives, and deliver impactful solutions. You will help transform complex AI and data opportunities into products that create measurable value for healthcare stakeholders. This position requires a strong technical mindset, product leadership skills, and the ability to operate across multiple teams in a highly collaborative environment. The ideal candidate is passionate about AI, platform products, and using technology to improve healthcare outcomes. You will play a key role in advancing AI adoption and enabling teams to build smarter, more effective solutions.

Accountabilities:: The Senior Product Manager, ML Platform will serve as the product leader for machine learning platform initiatives, partnering with technical teams and business stakeholders to build scalable capabilities that accelerate AI-driven innovation. This role requires strategic thinking, strong execution skills, and the ability to translate complex technical concepts into clear product direction.

Partner with data science, engineering, and product teams to define, prioritize, and deliver shared AI/ML capabilities across multiple product areas.

Drive adoption and measurable impact of machine learning initiatives by identifying opportunities, removing blockers, and communicating value across the organization.

Act as a customer-focused product leader, understanding the needs of internal teams and external stakeholders to guide impactful solutions.

Define product strategy, roadmaps, priorities, and build-versus-buy decisions within the machine learning platform scope.

Translate business needs and technical possibilities into clear product requirements, documentation, workflows, and development plans.

Collaborate with engineers and data scientists to develop, launch, monitor, and improve machine learning products and platform capabilities.

Provide leadership and alignment across product, engineering, and data science teams by fostering collaboration and shared ownership.

Own products throughout their lifecycle, from initial discovery and ideation through deployment, maintenance, and continuous improvement.

Communicate complex AI and technical concepts effectively to both technical and non-technical audiences.

Requirements:

The ideal candidate will have strong product management experience combined with technical expertise in AI, machine learning platforms, or data-driven products. This role requires someone who can navigate ambiguity, lead cross-functional initiatives, and create alignment between technical teams and business goals.

5+ years of experience in product management, product strategy, engineering, or a related technical product role.

Experience working in healthcare or another highly regulated industry where security, privacy, and compliance are key considerations.

Strong understanding of AI/ML products, data platforms, infrastructure, or shared technical capabilities.

Experience owning or advancing platforms, shared services, infrastructure products, or capabilities used across multiple teams.

Technical curiosity and ability to engage with technical concepts, including code, APIs, data analysis, SQL, notebooks, logs, or system architecture when needed.

Ability to partner effectively with engineering and data science teams on complex technical decisions.

Strong project management and organizational skills with the ability to manage multiple priorities and drive outcomes.

Exceptional written communication skills, including experience creating product requirements documents, strategy presentations, technical specifications, diagrams, or workflows.

Strong leadership and communication skills with the ability to facilitate discussions and influence stakeholders at all levels.

Proactive, ownership-driven mindset with a focus on both long-term vision and practical execution.

Collaborative approach with the ability to understand different perspectives and align teams toward shared goals.

Benefits:

Competitive total cash compensation range of approximately $170,000–$200,000 USD.

Remote work flexibility within the United States.

Opportunity to build foundational AI and machine learning capabilities in healthcare technology.

Collaborative environment with close partnership across product, engineering, and data science teams.

Chance to contribute to solutions that improve how healthcare data is connected, accessed, and used.

Comprehensive total rewards package designed to support employee health, financial goals, and overall well-being.

Additional benefits and programs supporting professional growth and long-term career development.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1