Become an AI Product Manager.

NLP Engineers build production language systems — Indic-language models, automatic speech recognition (ASR) and synthesis (TTS), document understanding for enterprise paperwork, IVR and voice-bot stacks for Indian customer support, named-entity recognition and information extraction, and the increasingly common multimodal pipelines that fuse text with vision and speech. The work blends applied research, production engineering, and dataset craft: you train and fine-tune transformer models for low-resource Indic languages, curate parallel corpora and labeled datasets, optimize inference for cost, debug failure modes that only show up in code-mixed Hindi-English speech or in handwritten Tamil documents, and own quality SLOs that mix accuracy, latency, and fairness across 22 official Indian languages. In India through 2026, NLP is one of the highest-impact applied-AI specializations because the global English-first NLP literature transfers poorly to Indic languages — concentrated demand sits at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), the public-good NLP groups at AI4Bharat (IIT-Madras) and Bhashini (Government of India), enterprise SaaS (Freshworks, Zoho ZIA, Postman, Verloop, Haptik), fintech (Razorpay, Cred, Paytm, M2P, IDfy), and the GCCs of Microsoft, Google, Adobe, and Amazon.

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Keep production systems fast, available, and observable for millions of users — by writing software that automates operations, runs capacity planning, designs SLOs and error budgets, and owns the on-call rotation for critical services. The role sits between software engineering and operations: you write Go / Python / Rust code, build reliability tooling, design distributed systems for resilience, run incident response, and push back on product launches that risk SLOs. In India, SRE is a premium specialization concentrated at FAANG-IN (Google SRE Bengaluru, Amazon, Microsoft IDC, Netflix India), product unicorns (Razorpay, Flipkart, Swiggy, Dream11, PhonePe, Zerodha), and the GCCs of high-traffic US firms (Uber, LinkedIn, Atlassian, GitHub, Cloudflare, Stripe). The work overlaps with DevOps but skews more toward software engineering: reliability is a product, not a process. Senior SRE pay in India sits at the very top of the technology bracket, often above equivalent SDE-3 backend roles.

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Solutions Architects are the customer-facing technical role that bridges what a product can do and what a customer actually needs. They design end-to-end deployments, integrations, and migrations on behalf of the customer's engineering team — sizing infrastructure, mapping data flows, picking the right product modules, drafting reference architectures, and partnering with sales and customer-success to win and expand accounts. The role is genuinely hybrid: it requires deep technical depth (cloud, networking, security, distributed systems) and high verbal craft (workshops, executive presentations, written design docs that survive procurement and security review). In India through 2026, Solutions Architect is one of the highest-paid customer-facing technical roles, concentrated at the GCCs of cloud vendors (AWS India, Microsoft Azure India, Google Cloud India, Oracle, IBM), enterprise SaaS companies (Salesforce India, ServiceNow, Snowflake, Databricks, MongoDB, Confluent), B2B Indian product companies (Freshworks, Postman, Atlan, Hasura, Chargebee), and the systems-integrator giants (TCS, Infosys, Wipro, Accenture) where the role sits closer to delivery. Top-tier Solutions Architects in India routinely cross ₹1Cr total comp by L6+ and the role is a common path into VP-Engineering and Field-CTO seats.

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Growth Managers sit at the intersection of product, marketing, and analytics — they own user acquisition, activation, retention, and referral metrics end-to-end, rather than any single channel. The role runs experiments across the entire funnel: acquisition channel mix and CAC, onboarding flows, activation milestones, lifecycle email and push, in-product nudges, pricing and packaging, referral mechanics, and churn prevention. Decisions are data-driven — SQL queries, cohort analysis, A/B tests, attribution models, and CAC / LTV math are part of every week. In India this is the most-coveted hybrid marketing role at SaaS and consumer-internet companies. Demand is highest at Indian SaaS unicorns (Razorpay, Postman, Freshworks, Zoho, Cred, Slice, Jupiter), consumer-internet leaders (Zomato, Swiggy, PhonePe, Paytm, Meesho, Groww, Zerodha, Cult.fit), and a strong tier of growth-stage Series B-D startups. Senior Growth Managers at Indian unicorns now command compensation comparable to senior product managers, with the most senior heads of growth crossing ₹1Cr+. The role sits in the top tier of Indian marketing careers in 2026, growing faster than nearly any adjacent role.

Senior: ₹70.0L

Product Managers discover, define, and deliver products that solve real user problems while meeting business goals. They sit at the intersection of engineering, design, and business — running discovery interviews, writing PRDs, prioritising the roadmap, working with engineers daily through delivery, and owning outcome metrics like activation, retention, and revenue. Unlike a project manager (who owns timelines) or a business analyst (who documents requirements), a PM owns the why and the what: deciding which problems are worth solving and ensuring the team ships a solution users actually adopt.

Senior: ₹90.0L

Management Consultants are paid to think clearly about business problems faster than the client can. They work in small teams (2-5 people) on time-boxed engagements — typically 8-16 weeks — solving the problems CEOs and boards cannot solve internally: market entry, cost reduction, M&A diligence, growth strategy, operating-model redesign, digital transformation. The Indian market splits into three tiers. MBB (McKinsey, BCG, Bain) — the most prestigious, most analytically rigorous, hardest-to-enter; recruits 60-80 BAs (Business Analysts) per year from IIT/BITS/SRCC for the undergrad track and 200+ Associate Consultants from IIM A/B/C/L and ISB. Big-4 strategy arms (Strategy&, Deloitte Monitor, EY-Parthenon, KPMG, Accenture Strategy) — broader hiring, more diverse engagement mix. Tier-2 strategy firms (Kearney, Oliver Wyman, Roland Berger, ZS Associates, Alvarez & Marsal). Distinct from in-house Strategy Analysts (longer projects, fewer clients) and from boutique advisory (deal-specific work). The job is structured slide-writing, hypothesis-driven analysis, and client-facing influence under heavy time pressure.

Senior: ₹1.0Cr

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Senior: ₹70.0L

A Venture Capital Associate sources, evaluates, and supports minority equity investments in early- and growth-stage startups, typically from Pre-Seed through Series C. India's VC landscape is one of the deepest emerging-market venture markets globally, with global multi-stage giants (Peak XV Partners — formerly Sequoia Capital India, Accel India, Lightspeed India, Tiger Global India), domestic-anchored funds (Blume Ventures, Stellaris Venture Partners, Elevation Capital — formerly SAIF, 3one4 Capital, Nexus Venture Partners), and stage-specialists (Better Capital and All In Capital at pre-seed; Z47 — formerly Matrix Partners India — at seed and Series A; B Capital and Sofina at growth). Associates spend their time meeting founders (4-8 first meetings a week), running market and competitor research, building investment memos, supporting cap-table modelling, monitoring 10-15 portfolio companies on monthly KPI updates, and running diligence on potential investments. The role rewards pattern recognition across founders, sectors, and business models — and the ability to write a clear thesis under deeply incomplete information (most early-stage diligence is qualitative, not quantitative). Many associates are ex-founders, ex-consultants (McKinsey, Bain, BCG), or ex-product / ex-engineers from operating roles at startups (Flipkart, Razorpay, Zerodha, Zomato, CRED). The career economics are carry-heavy — base + bonus is lower than PE, but successful funds with carry vesting can pay multi-Cr exits over 7-10 year fund-cycle timelines. SEBI-regulated as Category I or II AIFs.

Senior: ₹1.2Cr