Job description

Company Description

👋🏼 We’re Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That’s where you come in!

Job Description

Requirements

6+ years of product management experience.
Minimum 3 years of experience leading enterprise-scale platform products.
Experience with Data, AI, or Analytics platforms that deliver measurable business impact.
Strong understanding of multi-tenant architectures, API-first design principles, developer experience (DX), and platform economics.
Proven ability to build platforms that teams choose to use due to value and usability.
Solid understanding of modern AI and data platform components such as Kubernetes, semantic search, knowledge graphs, RAG, evaluation systems, guardrails, feature stores, and LLMOps.
Ability to understand tooling choices, technical trade-offs, and system interactions without needing to code.
Strong grasp of cloud-native data pipelines, data governance, scalability considerations, and platform security.
Demonstrated experience driving organizational adoption of platforms or technology products.
Skilled in measuring platform success via user adoption, speed of delivery, and revenue impact.
Ability to model platform value, influence pricing strategies, and support sales in positioning platform-driven solutions.
Experience converting platform capabilities into packaged, sellable client offerings.
Ability to align executives, engineering teams, and sales stakeholders around measurable objectives.
Skilled at communicating both technical and business concepts clearly.
Experience delivering clear, detailed Product Requirement Documents (PRDs).

Responsibilities

Build a strong, reusable AI platform that can be deployed across different environments.
Design core platform building blocks (“platform primitives”) that are consistent, flexible, and scalable.
Ensure the platform is intuitive and easy to use, enabling engineering teams to prefer it over custom builds.
Establish the platform as the fastest and most efficient path for delivering AI solutions to clients.
Operate the platform as an internal business unit, acting as the platform general manager.
Define platform value propositions, pricing models, and internal go-to-market strategies.
Build an internal marketplace of reusable tools, frameworks, templates, and AI accelerators.
Drive platform adoption through documentation, demos, enablement sessions, and usage tracking.
Partner with Sales and Business Units to position and sell platform-based solutions to clients.
Convert platform capabilities into scalable, repeatable offerings that generate revenue.