Gem

Product Manager, AI Devices

Gem$125K — $175K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3-6 years in product management focused on healthcare software/platforms.
  • Proven problem-solving skills for complex challenges.
  • Experience in agile/scrum environments with clear backlog management.
  • Technical understanding of system architectures and AI/Machine Learning concepts.
  • Strong analytical skills for interpreting complex datasets.
  • Exceptional in cross-functional stakeholder management.
  • Experience in driving platform objectives and aligning roadmaps with company goals.
  • Familiarity with healthcare standards and imaging systems preferred.

Responsibilities

  • Own the roadmap for AI-driven products from concept through launch.
  • Lead deployments of AI products across various imaging modalities.
  • Collaborate with Data Engineering to specify data requirements for model training.
  • Facilitate alignment among AI, clinical operations, and data teams.
  • Manage project timelines and identify resource needs early.
  • Establish a repeatable user feedback process for ongoing product improvement.
  • Define KPIs and analyze product performance for stakeholder reporting.

Benefits

  • Remote-first work environment for increased flexibility.
  • Equity opportunities alongside competitive benefits package.
  • Performance-based bonuses to reward contributions and results.
Full Job Description
About the Role

As the Product Manager for AI Devices, you will own the evolution of our AI-enabled diagnostic workflows. Your mission is to bridge the gap between advanced AI capabilities and seamless physician experiences, ensuring use of our AI technology becomes the standard of care within our practice. You will be the primary driver of efficiency, using data to drive down unit costs while maintaining exceptional quality of care and physician satisfaction.

Responsibilities:

  • Own the AI-Driven Roadmap: Define and manage the detailed product roadmaps for new AI products across X-ray, CT, MRI, and Ultrasound-from initial concept through launch sequencing and ongoing iteration.
  • Drive Modality Deployments: Lead end-to-end deployment of new AI products for each modality, coordinating cross-functional readiness across AI, clinical quality, clinical operations, data, and engineering.
  • Own Data Product Requirements: Partner closely with Data Engineering to define requirements for data quality, preprocessing pipelines, storage, and architecture that enable reliable model training and production performance.
  • Facilitate Cross-Functional Execution: Serve as the day-to-day connector between AI, clinical quality, clinical operations, and data teams-helping lead recurring forums to align on decisions, unblock issues, and maintain momentum.
  • Manage Timelines and Resourcing: Build and maintain integrated timelines and resource plans, including headcount needs and key OPEX inputs (compute, storage, and data transfer), surfacing tradeoffs early.
  • Build the User Feedback Loop: Establish a repeatable process to gather user feedback post-deployment and translate it into a prioritized backlog of product improvements and experiments.
  • Define and Analyze Performance Metrics: Establish KPIs and dashboards to evaluate product performance, quantify operational impact, and package results for leadership, board, investors, and marketing narratives.


Qualifications:

  • 3-6 years of experience in product management, preferably with a focus on healthcare software/platform products.
  • Problem-Solving Mindset: A proven track record of breaking down complex problems and driving to elegant solutions.
  • Technical Product Execution: Demonstrated experience in an agile/scrum development environment, with a strong ability to write clear requirements and manage a backlog.
  • Technical AI Fluency: Sufficiently technical to understand system architectures and basic AI/Machine Learning concepts.
  • Data & Analytics Mastery: Demonstrated ability to analyze complex datasets to derive actionable insights regarding user behavior and operational efficiency.
  • Stakeholder Management: Exceptional ability to manage cross-functional processes and communicate effectively with both high-level stakeholders and engineering teams.
  • Platform Leadership: Experience driving a platform backlog and setting quarterly roadmaps that align with broad company objectives.
  • Healthcare Domain Knowledge: Familiarity with healthcare-specific standards (DICOM, HL7) and imaging systems (PACS, VNA) is highly preferred.


Imagen Technologies is a remote-first company and this job is conducted remotely.

The base salary for the position is between $125,000 - $175,000, plus equity, performance-based bonus, and benefits. Please note that the range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

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