It runs a B2B company's entire revenue engine, from finding the right accounts to closing and growing them. View email address on foundit.in replaces them with a single system, powered by its proprietary Kris Tell Intelligence™ layer and a multi-agent architecture that thinks, decides, and acts across the revenue cycle.

We are looking for a AI-native Product Manager who blends product thinking, data science rigor, and comes with hands-on AI fluency. This role owns the end-to-end product lifecycle for AI-driven capabilities, ranging from predictive models to generative experiences, translating complex data & ML systems into scalable, customer-impacting products.

The ideal candidate has prior experience in data science or ML, deeply understands model behavior, trade-offs, and evaluation, and can partner seamlessly with engineering, ML, and business stakeholders to ship intelligent, impactful, reliable & explainable AI products.

Prioritize features using data, expected lift, confidence intervals & ROI modeling

Generative AI & LLM-Driven Experiences
Own GenAI use-cases including summarization, recommendations, copilots, content generation & reasoning workflows
Design prompt strategies, retrieval-augmented generation (RAG), tool-calling & memory architectures
Balance determinism, creativity, latency & cost across GenAI experiences
Define evaluation frameworks for GenAI quality (faithfulness, relevance, completeness, toxicity, hallucinations)

Data-Driven Product Execution
Write clear, technical PRDs that include data inputs & outputs, model assumptions & constraints, evaluation metrics & guardrails, failure modes & fallback strategies




Partner deeply with ML engineers to review feature pipelines, model choices & offline vs online evaluation results
Influence without authority, and set direction through clarity & data

Ensure responsible AI practices around bias detection & mitigation, explainability & transparency as well as privacy, data governance & compliance
4+ years of Product Management experience, with significant ownership of data and/or AI-powered products

- Proven track record shipping predictive models and/or GenAI products to production
- Robust understanding of supervised & unsupervised ML, feature engineering & data pipelines, model evaluation & experimentation
- Practical experience with LLMs (OpenAI/ Anthropic), RAG, embeddings, vector databases, prompt engineering & evaluation
- Comfortable querying data (SQL) & reading Python notebooks
- Ability to reason about model performance, trade-offs & limitations
- Strong prioritization skills grounded in data, not intuition alone
- Experience building 0→1 AI products or scaling AI features across large user bases
- Experience with B2B SaaS, sales tech, CRM, or revenue intelligence platforms is preferred
- Prior hands-on experience as a Data Scientist, ML Engineer, or Applied Scientist is preferred
- Exposure to real-time systems, streaming data, or low-latency inference
- Experience working with enterprise customers and regulated data
- Familiarity with AI infra tools (feature stores, model registries, monitoring)
- Excellent communication, stakeholder management & executive-level presentation & delivery skills
- Bachelor's degree in a technical, engineering, AI or related discipline;

📌 Senior Product Manager - Architecture (Bengaluru)
🏢 KrisAtWork
📍 Bengaluru