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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