About the role
The core responsibilities for the job include the following:
Product Strategy and Ownership:
- Define and execute product roadmap for AI-native and agentic AI products.
- Translate business problems into AI-driven workflows and autonomous agent solutions.
- Work closely with engineering, design, data, and leadership teams to prioritize features and deliver outcomes.
- Identify opportunities for automation using LLMs, AI agents, RAG pipelines, and workflow orchestration.
- Drive the end-to-end product lifecycle from ideation to launch and iteration.
Agentic AI Development:
- Design and prototype AI agents using LangGraph, LangChain, and modern LLM tooling.
- Build multi-agent workflows with memory, tool calling, planning, reflection, and orchestration capabilities.
- Develop proof-of-concepts and MVPs using Python.
- Integrate LLM APIs, vector databases, retrieval systems, and external tools/services.
- Experiment with prompt engineering, evaluation frameworks, and agent optimization techniques.
Cross-Functional Collaboration:
- Partner with AI/ML engineers and architects to define scalable system design.
- Collaborate with stakeholders to gather requirements and convert them into technical specifications.
- Drive agile ceremonies, sprint planning, and product prioritization.
- Define success metrics, KPIs, and evaluation frameworks for AI agents.
AI Product Execution:
- Monitor AI product performance, hallucination rates, latency, and reliability metrics.
- Create user stories, PRDs, and technical documentation.
- Conduct competitive analysis on emerging AI products and agentic AI ecosystems.
- Ensure responsible AI practices, security, and governance standards are followed.
Requirements:
- 6+ years of experience in Product Management, AI Products, or Technical Product Management.
- Experience working on AI/ML, Generative AI, or LLM-based products.
- Proven experience building or prototyping AI agents/workflows.