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.