Principal Technical Product Manager - AI
USFull-TimePrincipal
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 12+ years
- Required Skills
- AgileCloud ComputingProduct ManagementJiraData engineeringRESTful APIsDevOpsLLMMLOps
Requirements
- 12+ years of product management experience in SaaS, technology, or technology-enabled services, with strong exposure to technical or platform products.
- Deep understanding of AI/ML systems, including model development, deployment, and lifecycle management.
- Experience working with ML platforms, MLOps practices, and scalable AI infrastructure (cloud environments such as AWS, GCP, or Azure).
- Strong technical fluency in APIs, data engineering, DevOps, and enterprise software architecture.
- Proven ability to translate ambiguous requirements into clear technical roadmaps and executable plans.
- Strong experience working in Agile environments with tools such as Jira and cross-functional engineering teams.
- Excellent communication skills with the ability to explain complex technical concepts to diverse stakeholders.
- Experience working with LLMs, generative AI, or advanced AI systems is strongly preferred.
- Background in healthcare technology, clinical data, or population health datasets is a strong plus.
- Prior experience in data science or backend engineering roles is an advantage.
Responsibilities
- Define and lead the vision, strategy, and roadmap for the AI Platform, supporting both internal teams and external AI-powered products.
- Own the full lifecycle of ML and LLM platform capabilities, including data ingestion, model training, deployment, monitoring, and ongoing optimization.
- Partner with engineering, data science, and clinical teams to translate complex requirements into clear product direction and measurable outcomes.
- Write detailed user stories and technical requirements, ensuring alignment between business objectives, system design, and success metrics.
- Drive end-to-end delivery of scalable AI infrastructure, balancing innovation, performance, reliability, and risk management.
- Collaborate with AI researchers to transition prototypes into production-ready systems with strong validation and performance standards.
- Use data, experimentation, and user feedback to continuously improve model performance and platform capabilities.
- Develop short- and long-term roadmaps that align platform scalability with evolving AI and healthcare needs.
- Communicate technical trade-offs clearly to both technical and non-technical stakeholders, ensuring alignment across teams.
View Full Description & ApplyYou'll be redirected to the employer's site
