Senior Technical Product Manager - AI Innovation
New
J
JobgetherHealthcare Technology
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 8+ years
- Required Skills
- AgileArtificial IntelligenceMachine LearningProduct ManagementJiraData engineeringMLOpsGenerative AI
Requirements
- 8+ years of experience in product management within technology, SaaS, or technology-enabled services environments.
- Strong understanding of artificial intelligence and machine learning technologies and their application in real-world products.
- Experience using data, research, and customer insights to inform product strategy and solution design.
- Proven ability to translate ambiguous requirements into clear product roadmaps and execution plans.
- Experience working with Agile methodologies, Jira, and modern software development processes.
- Knowledge of APIs, DevOps practices, cloud infrastructure, and enterprise software development environments such as AWS, Azure, GCP, or Databricks.
- Understanding of data engineering principles and scalable data-driven systems.
- Ability to communicate technical concepts and trade-offs clearly to both technical and non-technical audiences.
- Experience taking products from early-stage concepts through launch, adoption, and scaling.
- Demonstrated experience building AI/ML platforms, internal tools, or technology infrastructure products.
- Strong knowledge of AI product lifecycle, MLOps, model deployment, monitoring, and reliability practices.
- Familiarity with large language models (LLMs), generative AI technologies, prompt engineering, and emerging AI capabilities.
Responsibilities
- Define and execute the roadmap for AI capabilities that support internal teams and external-facing products.
- Lead the full product lifecycle for AI and machine learning platform initiatives, from data ingestion and model development to deployment, monitoring, and optimization.
- Collaborate with AI engineers, data scientists, researchers, and clinical teams to move AI concepts from experimentation into reliable production systems.
- Build a deep understanding of user needs, business objectives, technical constraints, and success criteria to guide solution development.
- Create detailed product requirements, user stories, and measurable outcomes that align teams around shared goals.
- Develop short- and long-term product strategies that maximize value while reducing technical and operational risks.
- Use research, user feedback, and performance data to validate hypotheses and continuously improve AI solutions.
- Partner with stakeholders to communicate product vision, technical trade-offs, and business value effectively.
- Support the development of scalable AI infrastructure, including machine learning workflows, deployment processes, and operational improvements.
- Drive alignment across product, engineering, data, and business teams in an agile environment.
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