Product Manager Jobs

About The Position

Requirements

• Bachelor’s Degree in relevant field
• 8-12 years of relevant work experience
• Demonstrated ability to leverage AI as a productivity and effectiveness multiplier
• Proven experience with Agile practices and cross-functional team collaboration.
• Strong data-driven decision-making capabilities and critical thinking in product strategy.
• Deep understanding of user needs and delivering customer-centric solutions.
• Excellent verbal and written communication skills, with the ability to present to leadership and cross-functional teams.
• Proficiency in AI/ML technologies and data-driven product management.
• Experience in managing stakeholder expectations and fostering collaboration across departments.
• Ability to tackle complex challenges with innovative solutions and drive product success.
• Ability to travel 25-30% is required.

Responsibilities

• Product Strategy, Roadmap & Lifecycle Management:
• Develop and communicate a clear, strategic product vision aligned with healthcare and AI market needs, ensuring alignment across the organization.
• Conduct market research and define a long-term product strategy, maintaining and adjusting a prioritized roadmap based on customer feedback, market changes, and technical feasibility.
• Lead all stages of the product development lifecycle (PDLC) from ideation to post-launch optimization, ensuring efficient Agile practices and balanced prioritization of backlogs.
• Voice of Customer & User Research:
• Conduct user research and analyze customer insights to define actionable product requirements,
• Stakeholder Collaboration & Communication:
• Collaborate with cross-functional teams (marketing, sales, engineering) to ensure smooth execution and alignment on product goals.
• Present updates, risks, and trade-offs to executive leadership, maintaining clear communication throughout the product lifecycle.
• Business Case & Financial Management:
• Own business case development, including P&L, pricing strategies, and financial modeling to ensure profitability and ROI.
• Monitor product performance post-launch and use KPIs and data to drive future iterations.
• Risk & Compliance Management:
• Identify and mitigate risks, focusing on healthcare regulatory compliance and AI model governance.
• Launch & Post-Launch Optimization:
• Lead successful product launches in collaboration with marketing, driving adoption and revenue growth.
• Oversee ongoing support, enhancements, and optimizations based on post-launch metrics.
• Evangelize product adoption internally and externally, working to drive usage and revenue growth.