Remote Product Owner - GenAI
Product Strategy & Roadmap
- Define and maintain the product vision, strategy, and roadmap for the Generative AI platform in alignment with business objectives.
- Translate business needs into AI-powered solutions that deliver real value to users and customers.
- Prioritize initiatives based on business impact, technical feasibility, and market trends.
Requirement Gathering & Backlog Management
- Own and manage the product backlog, ensuring that development efforts align with strategic goals.
- Define and refine user stories, acceptance criteria, and technical requirements.
- Collaborate with stakeholders to gather requirements, balancing technical feasibility with business impact.
- Continuously groom and prioritize the backlog to maximize value delivery.
Cross-functional Collaboration
- Work closely with AI/ML engineers, data scientists, UX/UI designers, and software developers to ensure smooth execution of the product roadmap.
- Partner with business teams (marketing, sales, operations, customer support) to define go-to-market strategies and ensure alignment with customer needs.
- Facilitate communication between technical and non-technical stakeholders.
AI & Technology Enablement
- Stay informed about the latest Generative AI models, Agentic AI and Physical AI.
- Identify new AI capabilities and opportunities for innovation within the platform.
- Ensure ethical AI practices, compliance with regulatory standards, and mitigation of AI risks.
Customer-Centric Approach
- Conduct user research, customer interviews, and market analysis to validate product features and improvements.
- Define and track KPIs and success metrics to measure the impact of AI-driven products.
- Iterate on feedback and enhance the platform based on real-world usage and insights.
Agile & Product Development
- Act as the Scrum Product Owner, leading Agile ceremonies such as sprint planning, backlog refinement, and retrospectives.
- Ensure the delivery of high-quality AI solutions that meet market needs.
- Balance technical debt, feature development, and scalability.
- 5+ years of experience in Product Management, AI/ML Product Ownership, or a related role.
- Hands-on experience with Generative AI, Large Language Models (LLMs), or AI/ML-driven products.
- Strong technical understanding of AI/ML concepts, APIs, cloud-based AI platforms (AWS, Azure, GCP), and AI deployment.
- Experience working in an Agile development environment (Scrum, Kanban).
- Excellent communication and stakeholder management skills.
- Proven ability to translate complex AI technologies into user-friendly and commercially viable products.
Nice-to-Have:
- Background in Computer Science, Data Science, AI, or a related field.
- Experience with LLMOps, AI ethics, model fine-tuning, and prompt engineering.
- Familiarity with AI model evaluation metrics and monitoring tools.
- Previous experience in B2B SaaS, AI-as-a-Service, or AI product monetization.