Loading...
SeniorFull-timeRustData ScienceAIMLNLP
Salary Range
$143,650 - $194,350 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The AI Product Manager is a strategic product leader responsible for evolving the MRI-Simmons Insights Platform into a more intuitive, AI-assisted decision-making experience. This role focuses on applying artificial intelligence to help users explore data, understand insights, and take action more efficiently within an existing enterprise BI platform.
Key Responsibilities
- →Lead cross-functional teams to deliver impactful AI features, partnering with product, engineering, design, commercial, and client teams.
- →Identify high-value workflows where AI reduces friction, modernizes user experiences, and delivers explainable, trusted outcomes.
- →Translate market opportunities into clear AI requirements, leveraging ML, NLP, LLMs, RAG, and predictive analytics.
- →Oversee user research and testing for AI usability, prioritizing features that deliver measurable value and intelligent automation.
- →Create wireframes, prototypes, and user flows for AI-driven product experiences.
- →Conduct competitive analysis to understand AI trends and differentiation opportunities.
- →Collaborate with commercial partners to shape demos, narratives, and sales enablement materials.
- →Gather customer feedback and analytics to continuously refine and improve AI capabilities.
- →Track AI feature performance and guide continuous optimization.
- →Integrate external AI models and APIs while ensuring ethical use, compliance, and data governance.
- →Work with clients to understand AI onboarding and integration needs.
Requirements
- ✓Strategic product leadership experience with AI technologies
- ✓Strong understanding of ML, NLP, LLMs, RAG, and predictive analytics
- ✓Experience leading cross-functional teams in product development
- ✓Ability to translate market opportunities into clear AI requirements
- ✓User research and testing experience for AI usability
- ✓Wireframing, prototyping, and user flow design skills
- ✓Competitive analysis and market trend understanding
- ✓Collaboration with commercial partners for sales enablement
- ✓Customer feedback and analytics experience
- ✓Knowledge of ethical AI use, compliance, and data governance
