Technical Product Manager, AI and Data
New
J
JobgetherHealthtech, AI
Fully remote work environment across the United States and Canada., Working hours aligned within a two-hour window between 9 AM and 6 PM CST.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 3–5 years of professional product management experience; 4–8 years of hands-on engineering experience.
- Required Skills
- Artificial IntelligenceProduct ManagementData engineeringSoftware EngineeringData analytics
Requirements
- 3–5 years of professional product management experience as a Product Manager or Senior Product Manager.
- 4–8 years of hands-on engineering experience, ideally as a software engineer.
- Proven experience taking AI-powered products from development into production.
- Deep understanding of AI capabilities and limitations to translate technical possibilities into product solutions.
- Strong analytical and quantitative skills for structuring data and developing sound conclusions.
- Strong technical credibility to collaborate effectively with AI engineers and specialists.
- Ability to influence stakeholders through clear reasoning and evidence.
- Comfort operating independently and thriving in ambiguous, fast-paced environments.
- Excellent written and verbal communication skills across technical and non-technical audiences.
- Preferred: Experience in healthcare, life sciences, or regulated data environments.
- Preferred: Experience supporting data warehouse or analytics infrastructure.
Responsibilities
- Own and sequence the AI and data product roadmap in partnership with engineering leadership.
- Define and drive the development of AI-powered product experiences across multiple customer segments.
- Establish appropriate evaluation standards for AI products to ensure reliability and trustworthiness.
- Prioritize incoming requests and competing opportunities to maintain focus on high-value initiatives.
- Partner with data engineering to strengthen the analytics and data foundation for decision-making.
- Define success metrics before development and analyze performance post-launch to make data-driven adjustments.
- Translate evolving AI capabilities into clear product strategies and actionable initiatives.
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