Product Manager — AI/ML

Rubiscape’s AI/ML PM owns the product vision and roadmap for RubiStudio (AutoML & MLOps) and RubiAI (the agentic AI copilot layer), two of the most strategically critical studios on the platform. You will shape how enterprise data teams — from citizen analysts to senior data scientists — build, deploy, monitor, and govern machine learning models without leaving the Rubiscape environment. With 8 international innovation patents in AI and active Industry-Academia Lab partnerships, Rubiscape is pushing the frontier of practical enterprise AI; this PM will decide what gets built and why. You must be equally comfortable discussing LLM fine-tuning trade-offs with research engineers and explaining agentic workflow ROI to a CHRO or CFO.

·         Define and execute the multi-quarter roadmap for RubiStudio (AutoML, model registry, MLOps pipelines, drift monitoring) and RubiAI (LLM-powered copilot, agentic decision workflows, RAG-based enterprise search).

·         Translate enterprise AI adoption patterns — including the 40% reduction in decision latency and 70% faster fraud detection use cases — into concrete product features with measurable success criteria.

·         Partner with the applied research team and Industry-Academia Labs to evaluate emerging AI techniques (foundation models, multimodal AI, causal inference) for product applicability and time-to-market feasibility.

·         Conduct discovery with data science, ML engineering, and business analyst personas at enterprise accounts to identify friction in the model-to-production journey and prioritise workflow improvements.

·         Own responsible AI governance features: model explainability, bias detection, audit trails, and compliance guardrails required by BFSI and healthcare regulators.

·         Drive go-to-market for AI/ML features in collaboration with marketing and pre-sales, including technical positioning, demo scripts, and competitive differentiation narratives.

·         Maintain a clear AI feature deprecation and versioning policy as models and APIs evolve, ensuring zero disruption to production enterprise deployments.

·         Prior experience as a data scientist, ML engineer, or quantitative analyst — giving you credibility with technical stakeholders without needing constant translation.

·         Exposure to AI governance frameworks (EU AI Act, RBI AI guidelines, SEBI data regulations) relevant to regulated Indian industries.

·         Published work, patents, or conference talks in AI/ML, data science, or related fields.

·         Experience with low-code/no-code ML tools and AutoML platforms (H2O.ai, DataRobot, Google AutoML, or comparable).

Rubiscape is India’s leading Decision Intelligence Platform, unifying data engineering, BI, machine learning, and agentic AI in a single governed platform. Built in Pune and trusted by Fortune 500 enterprises across BFSI, manufacturing, healthcare, and government. 8 international innovation patents. 10 Industry-Academia Labs & COEs. From BI to AI — One Platform. Every Decision.

·         4–7 years of product management, with at least 2 years owning AI, ML, or data science platform products in an enterprise B2B context.

·         Working understanding of the ML lifecycle: data preparation, feature engineering, model training/evaluation, deployment, monitoring, and retraining pipelines.

·         Familiarity with LLMs, RAG architectures, and agentic AI frameworks (LangChain, LlamaIndex, or similar) at a conceptual and use-case level sufficient to write meaningful PRDs.

·         Ability to de-risk AI product bets through structured experimentation, user research, and prototype validation rather than speculation.

·         Strong communication skills to bridge data science jargon and C-suite business language in the same conversation.