Job Description

Job Title: Management Consultant – Software & Platforms

Management Level: 09 – Management Consultant

Location: Gurgaon or Bangalore

Must Have Skills: Product strategy / product management experience within technology, software, platforms or digital businesses; experience in AI-led product transformation, GenAI or Agentic AI; strong consulting, problem-solving and client engagement skills

Good to Have Skills: Platform product management; product portfolio strategy; SaaS / marketplace / Big Tech experience; commercial and growth model transformation; AI prototyping and product analytics

Job Summary

We are part of the Software & Platforms practice and help technology and platform companies reinvent how they build, commercialize and scale products in the AI era.

We are looking for a Product Reinvention Consultant who combines strong product strategy and product management experience with practical AI fluency. The role will work with clients across product portfolio strategy, platform product management, AI and agentic product transformation, commercial model innovation and product adoption.

The candidate should be able to engage credibly with product, business and technology leaders, structure ambiguous product problems, shape transformation strategies, and work with cross-functional teams to take ideas from strategy through implementation.

Roles & Responsibilities

Product Strategy & Portfolio Reinvention: Assess product portfolios, market opportunities, customer needs and competitive positioning. Drive product-market fit assessments, portfolio rationalization, build / buy / partner decisions, investment prioritization and outcome-driven product roadmaps.
Platform Product Management: Help clients move from siloed products toward scalable platform models. Define platform capabilities, shared components, product governance, operating models, OKRs, KPIs, backlog priorities and cross-product dependencies.
GenAI & Agentic Product Reinvention: Identify and prioritize high-value AI opportunities across the product lifecycle. Design GenAI and agentic product use cases, action flows, human-in-the-loop controls, guardrails and governance models. Support LLM evaluation, prompt engineering, PoC design and AI-enabled product implementation.
AI-enabled Product Lifecycle: Help product organizations use AI to accelerate research, requirements, design, build, testing, release and continuous improvement. Redesign product workflows to incorporate continuous customer signals, AI-assisted decision-making and faster feedback loops.
Commercial & Growth Model Transformation: Support clients in evolving product monetisation and go-to-market models — including subscription, usage-based, freemium, outcome-based and hybrid models. Shape product-led growth, pricing and packaging, activation, bundling, upsell and cross-sell strategies.
Product Adoption & Value Realisation: Design product adoption approaches covering onboarding, enablement, Voice of Customer, adoption metrics and continuous improvement. Help clients translate product and AI investments into measurable customer and business outcomes.
Client & Business Development: Lead workstreams and client discussions, facilitate workshops, develop executive presentations and business cases, contribute to proposals and RFP responses, and help build Product Reinvention offerings and thought leadership for the Software & Platforms practice.

Professional & Technical Skills

Strong knowledge of product strategy and product management — product-market fit, customer discovery, portfolio strategy, roadmap design, prioritisation, product lifecycle management, OKRs and KPIs.
Experience working on digital products, SaaS products, platforms, marketplaces or technology-led business models.
Strong understanding of GenAI and Agentic AI concepts and their application to products and product development.
Experience identifying and prioritising AI use cases based on business value, customer impact, feasibility, data readiness and implementation considerations.
Familiarity with agentic architecture concepts including agents, workflows, action flows, human-in-the-loop controls, guardrails, escalation, explainability and auditability.
Exposure to LLM selection and evaluation, prompt engineering, AI PoCs and AI-enabled product development.
Understanding of platform product management — shared capabilities, APIs, reusable components, platform governance and product operating models.
Understanding of modern software commercial models including subscription, usage-based, product-led growth, freemium and outcome-based models.
Strong quantitative and analytical skills with the ability to develop business cases, opportunity assessments and product performance analyses.
Strong communication and structuring skills; comfortable engaging senior product, business and technology stakeholders.
Strong PowerPoint and Excel skills; experience with product analytics, prototyping or data visualisation tools is a plus.