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Technical Project Manager

Posted 9 days agoViewed

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💎 Seniority level: Manager, 5+ years

🔍 Industry: Healthcare Technology

🏢 Company: HOPPR👥 11-50Artificial Intelligence (AI)MedicalInformation TechnologyHealth CareHealth DiagnosticsSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of experience in technical project management, ideally in MedTech, healthcare, or AI development.
  • Strong understanding of AI/ML development lifecycles and software development practices.
  • Experience working in regulated environments (e.g., knowledge of FDA approval pathways for medical devices).
  • Excellent organizational, communication, and leadership skills.
  • Familiarity with project management tools (e.g., Jira, Trello, Asana) and Agile/Scrum methodologies.
Responsibilities:
  • Lead the end-to-end project lifecycle for AI model development, deployment, and clinical integration.
  • Develop project plans, schedules, milestones, and deliverables to ensure timely execution.
  • Coordinate sprints, releases, and deployments across engineering and product teams.
  • Collaborate with internal teams (AI researchers, clinicians, and software developers, quality and regulatory, commercial) and external stakeholders (partners, hospitals, regulatory bodies, and vendors) to ensure clear communication and alignment.
  • Serve as a liaison between technical teams and non-technical stakeholders, ensuring technical concepts are effectively translated.
  • Identify and manage potential project risks and by developing mitigation strategies.
  • Monitor project performance, resolve issues, and implement improvements where necessary.
  • Understand AI development processes, including model training, validation, and deployment pipelines.
  • Work with the development team to oversee system architecture, data pipelines, and API integration into clinical workflows.
  • Ensure compliance with regulatory standards (e.g., FDA, HIPAA) during project execution.
  • Allocate cross-functional resources efficiently and ensure project costs align with budgets.
  • Track project expenditures and prepare periodic status reports for management.
  • Collaborate with QA teams to implement validation strategies for AI models.
  • Work closely with regulatory experts to ensure products will meet clinical safety and ethical guidelines for our partners.
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