Sr. Product Manager, GenAI

Indotronix International Corporation•San Francisco, CA
•Remote

About The Position

We are seeking a Senior Product Manager to lead AI-native product initiatives focused on LLM-driven chat and agent experiences. This is a cross-functional, high-visibility contract role requiring ownership of roadmap execution, stakeholder alignment, and AI product delivery. The Product Manager will work in a fast-moving, collaborative environment, bringing structure, clarity, and prioritization to complex AI-driven initiatives. The role requires an organized communicator with hands-on familiarity with modern LLM tooling and concepts.

Requirements

  • 5–8+ years of Product Management experience, with clear ownership of roadmap and delivery.
  • Proven ability to operate in complex, stakeholder-heavy environments with strong executive communication skills.
  • Hands-on fluency with LLMs and AI-native product development, including prompt design, RAG basics, and LLM evaluation methods.
  • Experience building or supporting chatbots, conversational UX, or AI-driven interfaces.
  • Strong experience managing Agile workflows and tools such as JIRA, sprint planning, and backlog management.
  • Ability to balance strategic thinking with hands-on execution.
  • Awareness of AI system risks such as hallucination, model reliability, and user trust considerations.
  • Strong interest in staying current on rapidly evolving AI capabilities and best practices.

Nice To Haves

  • Experience working in AI-native environments or with tools such as Claude or similar LLM platforms.
  • Familiarity with real-time AI systems, security for AI/chatbot systems, and agent-based AI workflows.
  • Background in customer experience (CX), eCommerce, or merchandising-driven organizations.

Responsibilities

  • Own and operationalize the product roadmap, balancing input from multiple senior stakeholders and competing priorities.
  • Bring structure and rigor to execution across initiatives, timelines, and deliverables.
  • Lead development of AI-native chat and agent experiences, including real-time conversational interfaces and intelligent workflows.
  • Define and manage product requirements, user stories, and backlog prioritization.
  • Collaborate with cross-functional teams to align on priorities in a high-visibility environment.
  • Drive clarity and alignment across leadership stakeholders through strong communication and expectation-setting.
  • Ensure AI products meet standards for performance, reliability, and user trust.
  • Apply best practices in prompting, evaluation frameworks, and iteration cycles to continuously improve LLM outputs.
  • Identify risks and gaps early, including those related to AI behavior, security, and scalability, and drive mitigation plans.
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