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AI Product Manager - Sales & Marketing

AI Product Manager - Sales & Marketing

Dr. Reddy's LaboratoriesIndia
30+ days ago
Job description

Job Summary

We are hiring a

Technical AI Product Manager

to lead the design and delivery of AI and Gen AI products for sales and marketing domains. You will work across product, ML, and engineering teams to build scalable, production-grade AI systems. This role demands deep technical fluency, structured product thinking, and execution ownership from roadmap to deployment.

Roles and Responsibilities

Own product lifecycle from problem framing to deployment and iteration

Define clear specs with data science and engineering for ML and GenAI solutions

Lead development of RAG pipelines, prompt orchestration, fine-tuning, and evaluation workflows

Balance model performance, latency, cost, scalability, and compliance constraints

Design API-first, modular, secure product architectures

Monitor product KPIs and drive iterative improvements

Prioritize across exploratory and scalable use cases

Stay current with AI / LLM tech and translate into product capabilities

Skills Required

Functional

Strong ownership with ability to structure ambiguous technical problems

Deep understanding of commercial workflows like rep coaching using call summaries, GenAI-driven campaign asset creation, next-best-action models, and AI-guided segmentation

Experience aligning AI product success metrics with business KPIs such as conversion uplift, rep productivity, and content reuse rates

Skilled at navigating trade-offs between explainability, performance, and cost in commercial AI applications

Proven delivery of AI products in real-world GTM or sales enablement environments

Technical

8+ years of experience in AI & Analytics for sales and marketing functions

Deep knowledge of LLMs, embeddings, vector stores, and RAG architectures

Hands-on with LangChain, Pinecone, OpenAI, Azure AI, Vertex AI or similar

Proficient in evaluating model metrics like top-k accuracy, latency, precision, recall

Comfortable reviewing code, writing specs, and using Git, Postman, Jupyter

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