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.
RequirementsRequirements
· 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.
