About KrisAtWork: KrisAtWork is an AI work companion designed for go-to-market functions to drive higher revenue and enhance efficiency. It offers real-time intelligence and step-by-step guidance, all through a single, centralized window to improve business productivity and outcomes. At KrisAtWork, we believe everything meaningful starts with people - those who build with us, and those we build for - united by a shared ambition to make work smarter. About the Role: We are looking for a highly analytical, 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. What Youll Do: Product Strategy & AI Vision: - Define & own the AI product vision and roadmap, aligned with business outcomes and measurable customer value. - Identify high-leverage prediction and generation opportunities across user workflows. - Translate ambiguous business problems into clear AI-powered product hypotheses. - Prioritize features using data, expected lift, confidence intervals & ROI modeling. Predictive AI Ownership: - Lead products powered by classification, regression, ranking, forecasting & anomaly detection models. - Define prediction targets, labels, features, and success criteria in collaboration with AI/ ML engineering teams. - Drive decisions around model refresh cadence, retraining triggers & drift detection. 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. - Make informed trade-offs between rules, heuristics, classical ML & LLMs. Experimentation & Measurement: - Design and own A/B tests, holdouts & phased rollouts for AI features. - Measure incremental impact, not just accuracy (conversion lift, time saved, win-rate, retention). - Build feedback loops to improve models using human-in-the-loop signals. - Define north-star & secondary metrics for AI success. Cross-Functional Leadership: - Act as the product glue between ML, engineering, design, sales, customer success & leadership. - Translate technical AI concepts into clear business narratives for executives. - Partner with go-to-market teams on AI positioning, trust messaging & explainability. - Influence without authority, and set direction through clarity & data. AI Ethics, Trust & Reliability: - Ensure responsible AI practices around bias detection & mitigation, explainability & transparency as well as privacy, data governance & compliance. - Define guardrails, confidence indicators, and override mechanisms for AI outputs. - Proactively identify edge cases and failure scenarios before customers do. Who You Are & What Makes You Qualified: - 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. - Strong 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. - Deep intuition for user workflows & decision-making under uncertainty. - Ability to connect model output to user action & business outcome. - 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; advanced degree is preferred.

Remote

KrisAtWork - Senior Product Manager - AI 

Job Description for KrisAtWork - Senior Product Manager - AI  in KRISATWORK in  Remote for (4-7) years of experience. Apply Now!