AI Product Manager AIRLKLHV

Job Title: AI Product Manager

Location: Remote / Hybrid
Employment Type: Contract / Full-Time

Overview

We are seeking an experienced AI Product Manager to lead the strategy development and delivery of AI-powered products across enterprise environments. This role focuses on translating business challenges into scalable AI solutions and driving adoption from concept through production.

The ideal candidate combines strong product management expertise with a solid understanding of AI technologies enabling them to guide teams in building practical high-impact solutions rather than experimental prototypes.

Responsibilities

• Define AI product vision roadmap success metrics and delivery priorities aligned with business goals
• Identify and prioritize high-value AI use cases across operations customer experience and business processes
• Translate business requirements into product features user stories and technical backlogs
• Collaborate with data scientists AI engineers data engineers and UX teams to deliver production-ready solutions
• Evaluate feasibility risks and value of AI initiatives before development
• Manage the full product lifecycle from discovery to deployment adoption and continuous improvement
• Establish governance frameworks including responsible AI privacy and model performance monitoring
• Communicate progress risks and outcomes to stakeholders and executive leadership

Required Qualifications

• Proven experience as a Product Manager Technical Product Manager or AI Product Owner
• Experience delivering AI ML analytics or data-driven products in enterprise environments
• Working knowledge of generative AI machine learning LLMs and related technologies
• Strong ability to translate business needs into technical requirements
• Experience managing product roadmaps backlogs and release cycles
• Excellent stakeholder management and communication skills

Preferred Qualifications

• Experience with RAG architectures model evaluation and AI deployment practices
• Background in consulting or fast-paced enterprise environments
• Familiarity with governance compliance and responsible AI frameworks
• Experience working with cross-functional teams in data engineering and business domains

Must-Have Skills

• Experience taking at least one AI/ML or analytics product from concept to production
• Ability to assess AI feasibility and guide stakeholders toward practical use cases
• Strong decision-making and prioritization skills in ambiguous environments

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