Product Manager, Systems Thinking for Healthcare (Remote)

System, Inc.; New York (NY); Hybrid; USD 110,000 - 170,000; Full time

Job summary

System is seeking a systems-minded Product team member to join in New York, with remote flexibility. The role sits at the intersection of engineering, data, and human-centered design to solve healthcare problems.

You will define the product vision, conduct user research, own the roadmap, and collaborate across functions to deliver meaningful experiences. A passion for data-heavy, complex products and a bias toward clarity is essential.

Qualifications

• 3+ years of experience in product management, product design, or a related discipline.
• A track record of shipping products in agile, fast-moving environments.
• Strong communication and stakeholder alignment skills.
• Experience working in or adjacent to data-heavy or technically complex products.
• An ability to hold both user empathy and systems-level thinking at the same time.
• Comfort with ambiguity and a bias toward clarity.

Responsibilities

• Define and drive the product vision in close partnership with engineering, data, and research teams.
• Translate complex systems problems into elegant, human-centered experiences.
• Conduct user research to understand the needs, mental models, and workflows of systems thinkers.
• Own the product roadmap and prioritize with clarity, purpose, and data.
• Collaborate across functions to ship meaningful, high-quality product experiences.
• Contribute to a culture of curiosity, craft, and continuous improvement.

Skills

Systems thinking

Product management

Cross-functional

Agile

Communication

Job description

System is seeking a systems-minded Product team member to join in New York, with remote flexibility. The role sits at the intersection of engineering, data, and human-centered design to solve healthcare problems.

You will define the product vision, conduct user research, own the roadmap, and collaborate across functions to deliver meaningful experiences. A passion for data-heavy, complex products and a bias toward clarity is essential.