Lead Product Manager - AI Solutions
New
J
JobgetherArtificial Intelligence
United StatesFull-TimeLead
Salary$157,900 - $205,400
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Job Details
- Experience
- Minimum of 3 years
- Required Skills
- Artificial IntelligenceData AnalysisMachine LearningProduct ManagementStakeholder management
Requirements
- Minimum of 3 years of hands-on AI product management experience, including commercial launches of AI-driven or data-intensive product capabilities.
- Experience defining requirements for AI-powered features, integrations, and intelligent workflows.
- Strong understanding of modern AI systems, AI agents, experimentation approaches, and product implications of AI technologies.
- Ability to use AI tools directly for rapid prototyping, product exploration, and solution validation.
- Experience working with engineering teams on model evaluation, experimentation, tuning, and iterative improvements.
- Strong analytical mindset with experience defining success metrics and using data to guide product decisions.
- Knowledge of responsible AI practices, including privacy, security, transparency, compliance, and risk management.
- Ability to create or curate representative mock or synthetic datasets for experimentation and validation.
- Excellent communication and stakeholder management skills, with the ability to explain priorities, trade-offs, risks, and progress clearly.
- Bachelor’s degree in business, engineering, technology, or a related field preferred; equivalent professional experience considered.
- Experience mentoring or coaching product professionals is a plus.
Responsibilities
- Own the end-to-end product lifecycle for AI-powered features and capabilities, from discovery and requirements definition through delivery and continuous improvement.
- Define product strategies, roadmaps, priorities, and success criteria for assigned AI solutions and capabilities.
- Translate customer needs, market insights, and technical opportunities into clear product requirements and actionable delivery plans.
- Partner with engineering teams on AI experimentation, model evaluation, tuning opportunities, and release readiness assessments.
- Drive continuous improvement of AI features by analyzing customer feedback, usage data, and AI performance signals.
- Establish evaluation criteria, feedback mechanisms, and quality measures to ensure AI capabilities deliver reliable customer value.
- Define and monitor product metrics, using insights to guide roadmap investments and product iterations.
- Collaborate with UX, security, governance, research, and go-to-market teams to deliver customer-ready AI experiences.
- Apply responsible AI principles, including transparency, privacy, security, traceability, bias awareness, and auditability.
- Support the growth of AI product practices by mentoring or coaching junior product team members when needed.
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