What are the responsibilities and job description for the AI Product manager position at ARK Infotech Spectrum?
Role : AI Product Manager
Location : NYC , NY ( Onsite)
Local Candidates only
Job description
• Define product vision, strategy, and roadmap for agentic AI systems
• Translate user pain points into product requirements, user stories, and success metrics
• Lead end-to-end lifecycle for LLM-based products from discovery to iteration
• Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops
• Drive integrations with observability, incident management, and deployment systems
• Conduct user research and translate production challenges into roadmap priorities
• Own AI safety, governance, reliability, and fallback strategies
• Define and monitor KPIs such as cost, latency, and user satisfaction
• Own data and knowledge strategy including RAG pipeline and data validation
• Lead product design reviews and promote data-driven experimentation
• Mentor teams on AI product management and best practices
Basic Qualifications:
• Bachelor’s degree in Engineering, Computer Science, or equivalent
• 10–15 years of experience with significant product management exposure
• 5 yr Experience leading large-scale AI/ML or cloud-based product initiatives
• 5 yrs Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps
• 5 yrs Ability to engage deeply with engineering teams on technical topics
• Strong communication skills for technical and non-technical stakeholders
• Experience working in fast-paced, cross-functional environments
• Strong analytical and data-driven decision-making skills
• Proven ability to influence without direct authority
Nice to Have:
• Experience working with enterprise-scale production environments
• Familiarity with observability and incident management tools
• Experience in prompt engineering and LLM evaluation frameworks
• Exposure to AI safety, governance, and compliance standards
• Prior experience mentoring product managers or leading product communities
• Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts