Product Manager

About SCIKIQ SCIKIQ is an AI-native enterprise data intelligence platform helping large organisations discover, govern, and act on their data. Our platform spans data integration, BI and KPI building, automated insight generation, an AI/ML layer, data governance, and data cataloguing. We are domain agnostic and our current customers are financial services, telecom, and facilities management, retail /Ecommerce and manufacturing and we are scaling our product and engineering teams to support that growth. SCIKIQ is recognised as: → Top 10 Data & AI companies in India — NASSCOM League of 10 → Top 34 AI-Augmented Platforms globally — Forrester → Top 30 Tech Companies to Watch — YourStory and Inc Media

Role Overview We are seeking senior Product Managers to own the strategy and roadmap for SCIKIQ's modules — Datahub, BI & KPI Builder, the Why Engine, the AI/ML Layer, Data Governance and the Data Catalogue. You will translate the needs of large enterprise clients into a prioritised roadmap and drive products from discovery through delivery to adoption.

Required Skills • 15+ years in product management within enterprise software, data or analytics • Ownership of product strategy, roadmap and prioritisation • Strong enterprise stakeholder management and discovery skills • Ability to define metrics, instrument products and act on usage data

Preferred Skills • AI/ML and agentic AI product experience • Prior experience with data governance, cataloguing or BI products

Key Focus Areas • Product strategy and roadmap ownership • Discovery and requirement definition • Prioritisation and trade-off decisions • Go-to-market and adoption, working cross-functionally

Mandatory — Data Fluency Strong, hands-on SQL is mandatory for this role, alongside a solid working knowledge of data warehousing and business intelligence and/or Snowflake and/or Databricks. This is a hard requirement: it confirms the depth of data understand

Soft Skills & Working Style • Excellent verbal and written communication skills • Strong problem-solving and analytical thinking • High ownership mindset with the ability to drive tasks independently • Ability to work in a fast-paced product environment • Strong collaboration with engineering, product, QA, and customer success teams • Comfort with ambiguity and ability to convert unclear requirements into working solutions • Product thinking — ability to understand not just what to build, but why it matters • Attention to detail, especially around code quality, reliability, and user experience • Curiosity to learn new technologies, especially in AI, data, and enterprise software • Ability to communicate technical ideas clearly to both technical and non-technical stakeholders

Preferred Background • Engineering degree from a Grade A / reputed college preferred • Prior experience in a product company, SaaS company, enterprise software company, or data/AI platform company will be preferred • Ideal candidates should have strong communication skills, sound engineering fundamentals, and the maturity to work on enterprise-grade products