
AI Product Manager
Posted Oct 17

Posted Oct 17
This is a fully remote position, open to applicants in United States, +1 more country.
• Transform intricate model architectures, data analyses, and feature engineering into scalable agent design patterns.
• Drive process reimagining by evaluating legacy workflows and creating automated, AI-powered alternatives.
• Organize data, operational limitations, and guidelines to enhance LLM performance and ensure output reliability.
• Create low-fidelity prototypes to test essential AI features, user experiences, and model feasibility.
• Develop evaluation frameworks aligned with business objectives and establish metrics to assess program impact.
• Design and implement advanced AI agents, including RAG solutions, vector search integration, and multi-agent systems utilizing A2A and MCP.
• Connect technical execution with business strategy for a variety of stakeholders.
• Spearhead strategic initiatives that promote enterprise-wide AI adoption, cloud-native data modernization, and measurable business results.
• Collaborate with AI, data, engineering, and consulting teams across different regions.
• Cultivate strategic client partnerships.
• 5-7+ years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in client-facing roles.
• Experience in designing comprehensive AI systems, including RAG, vector databases, and API integrations.
• Proven track record in defining AI product/workflow specifications.
• Active involvement in internal and client-facing meetings.
• Capability to provide consistent, structured updates concerning project milestones and technical challenges.
• Willingness to seek assistance when facing technical obstacles and contribute to collaborative problem-solving.
• Ability to convert high-level business objectives into solid technical architectures.
• Background in financial services or retail is preferred.
• Understanding of privacy and compliance standards for handling PII through masking and redaction is preferred.
• Medical, Dental, Vision coverage.
• Retirement Accounts.
• Long and Short-Term Disability.
• Life Insurance.
• HSA/FSA Accounts (USA).
• Discretionary time-off.
• Significant opportunities for career development.
• Continuous learning and AI upskilling.
• Hands-on exposure to cutting-edge technologies.
• Opportunities to develop expertise in Generative AI, agentic AI, and next-generation data platforms.
• Chance to work in a rapidly growing and challenging entrepreneurial environment.
• High level of individual responsibility.
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