Associate, AEO
Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
About the Role
We're looking for a motivated and detail-oriented AEO (Answer Engine Optimization) Intern to join our digital marketing team. This role is ideal for BE/BTech students with a keen interest in how content
performs across AI-driven platforms, search engines, and answer engines. An MBA or coursework in. marketing/analytics would be a strong plus.
Key Responsibilities
• Assist in optimizing content for answer engines (Google AI Mode, ChatGPT, Perplexity, etc.)
• Conduct query intent research and analyze how users ask questions across platforms
• Support content structuring for featured snippets, AI summaries, and conversational responses
• Collaborate with content and tech teams to ensure discoverability across search and AI interfaces
• Track performance using tools like Google Analytics, Search Console, and third-party platforms
• Monitor changes in AI/search algorithms and evolving user behavior
• Support on-page SEO tasks such as meta tag optimization, keyword mapping, and internal linking
• Assist in conducting SEO audits and identifying opportunities to improve organic search visibility
• Help analyze keyword rankings and organic traffic trends using SEO tools
Eligibility & Preferred Background
• BE/BTech degree (mandatory)
• MBA (Marketing/Analytics) is a strong plus
• Strong analytical mindset with a genuine interest in digital discovery ecosystems
• Prior exposure to SEO — through internships, coursework, or self-driven projects — is a plus
Skills & Tools Required
• Basic understanding of how search engines and AI answer platforms retrieve and rank information
• Familiarity with tools like Google Search Console, Google Analytics, and research tools(SEMrush, Ahrefs, etc.)
• Good command over Excel/Sheets and data interpretation
• Excellent verbal and written communication skills
• Knowledge of HTML/CSS basics is a plus
• Foundational knowledge of SEO concepts — keyword research, on-page optimization, crawlability, and page experience signals
• Understanding of how SEO and AEO intersect — particularly around structured data, E-E-A-T, and content authority
[IMP] High-Impact Skills We Value (AI First Mindset)
• Hands-on usage of AI tools (ChatGPT, Claude, Perplexity, etc.) in day-to-day workflows for research, content creation, and problem-solving
• Strong hold on content — deep understanding of user intent, target audience, and how to structure content for direct answers
• Experience in optimizing content for AI consumption (clear structure, entities, FAQs, summaries, semantic depth
• Ability to automate repetitive workflows using AI (content generation, clustering, summarization, reporting, etc.)
• Comfort with experimenting across AI platforms and understanding how responses differ across systems
• Curiosity to explore emerging concepts like AEO, GEO (Generative Engine Optimization), and AI-led content distribution
• Familiarity with technical SEO fundamentals — sitemaps, robots.txt, schema markup, and Core Web Vitals — is a strong differentiator
• Ability to bridge traditional SEO thinking with modern AEO/GEO strategies to maximize content discoverability
What's in it for You
• High-growth learning environment with direct exposure to cutting-edge AI + search ecosystems
• Hands-on experience building for the future of discovery — beyond traditional search
• Opportunity to work on real-world AEO/GEO problems at scale, not just theoretical projects
• Deep exposure to AI workflows, automation systems, and content intelligence platforms
• Ownership from day one — experiment, build, and see direct impact on performance
• Work closely with cross-functional teams (content, product, engineering) in a fast-paced setup
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