Technical Product Manager
New
Based in United StatesFull-TimeMiddle
Salary145,000 - 150,000 USD per year
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Job Details
- Required Skills
- PythonSQLAgileArtificial IntelligenceData AnalysisMachine LearningProduct Management
Requirements
- Bachelor’s degree in a relevant discipline or equivalent professional experience.
- Proven experience managing complex products from development through implementation and optimization.
- Strong ability to prioritize competing initiatives and manage ambiguity.
- Experience working with cross-functional teams, including engineering, data, and clinical stakeholders.
- Strong analytical skills with the ability to interpret performance data.
- Proficiency with technical tools and programming concepts, including SQL and Python.
- Excellent communication skills for presenting to senior stakeholders.
- Ability to adapt quickly to changing priorities and maintain accountability.
- Experience applying AI, automation, or machine learning solutions to improve workflows.
- Preferred: Experience with conversational AI, voice AI, or LLM-powered products.
- Preferred: Background in healthcare technology, clinical operations, or regulated industries.
- Preferred: Familiarity with healthcare compliance frameworks like HIPAA and CMS requirements.
- Preferred: Experience collaborating with data science teams on model evaluation.
- Preferred: Knowledge of AWS environments, Jira, and Confluence.
- Preferred: Experience with Agile product delivery.
Responsibilities
- Partner with clinical operations teams to identify, prioritize, and define product requirements and use cases.
- Own and maintain product roadmaps, balancing business impact, technical feasibility, and regulatory considerations.
- Manage end-to-end project plans, including timelines, milestones, dependencies, risks, and deployment.
- Translate stakeholder needs into actionable product requirements and ensure alignment across teams.
- Analyze performance metrics and operational data to improve product effectiveness and guide decisions.
- Conduct quality reviews and audits of AI-driven workflows to ensure accuracy and compliance.
- Ensure product initiatives meet healthcare regulatory standards including privacy and security requirements.
- Facilitate product reviews with leadership to present progress, risks, and strategic recommendations.
- Build cross-functional relationships across engineering, data science, clinical, and business teams.
- Identify opportunities to leverage AI and automation to improve operational efficiency.
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