
Program Manager Gen.&AgenticAI
2 weeks ago
Key Responsibilities
Strategic Program Leadership
- Define and own the roadmap for Gen AI and Agentic AI programs across product lines.
- Align AI initiatives with company OKRs, go-to-market strategy, and customer needs.
- Translate technical possibilities into business outcomes and scalable solutions.
Cross-Functional Execution
- Manage cross-team dependencies, risks, and resource allocation.
Technical Oversight
- Oversee development of agentic architectures (e.g., LangChain, llamaindex, tensor flow. Should have worked on RAG architecture
- Collaborate with analytics teams on model selection, fine-tuning, and deployment.
- Ensure robustness, safety, and explainability of AI systems.
Must-Have
- 10–15 years of experience in program/product management, with 3–5 years in AI/ML or emerging tech.
- Proven track record of delivering complex, cross-functional technology programs.
- Deep understanding of LLMs, generative AI, and agentic systems.
- Strong technical fluency — able to engage with engineers and researchers meaningfully.
- Exceptional communication, leadership, and stakeholder management skills.
Preferred
- Experience in startup or high-growth environments.
- Background in cognitive science, HCI, or AI ethics.
- Familiarity with MLOps, prompt engineering, and multi-modal AI.
- Exposure to enterprise AI deployment (cloud, security, scalability
Optional (I am not completely aware the tech stack hence keeping it generic as per market trend)
Our Tech Stack (Example)
- LLMs: GPT-4, Claude, Mistral, LLaMA
- Frameworks: LangChain, CrewAI, AutoGen, Semantic Kernel
- Infra: Python, FastAPI, Docker, Kubernetes, AWS/GCP
- Data: Pinecone, Weaviate, ChromaDB, Postgres, vector db
- Ops: Notion, Linear, Slack, GitHub, Figma
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