Product Manager — AI/ML

About the Role

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.

Key Responsibilities

· 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.

Nice to Have

· 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).

About Rubiscape

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.

Requirements

Requirements

· 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.