Senior Technical Product Manager · AI Product Strategist · Platform Builder
Scaling AI-powered enterprise systems & B2B SaaS — $10M+ revenue impact, 1M+ MAUs across 10+ countries.
MBA (Tech MBA), Indian School of Business · PG Diploma in ML & AI, IIIT Bangalore
🟢 Available for Senior / Lead Technical PM & AI Product Strategy roles (India · Global Remote · Relocation).
I am an AI-native Technical Product Manager operating at the convergence of Agentic AI orchestration, enterprise platform architecture, and product-led growth.
Over the last 4+ years across BrowserStack and Zoho Corporation, I have delivered:
- 🚀 $10M+ in measurable revenue impact across high-velocity B2B developer and SaaS ecosystems.
- ⚡ Scaled products to 1M+ MAUs and 50K+ enterprise accounts across 10+ global markets.
- 🤖 Automated SQL generation & contextual AI pipelines — delivered Zoho's first Text-to-SQL service, accelerating user analytics decisions by 7X.
- 🛠️ Unified microservices & API consolidation — harmonized 1,000+ APIs, cutting technical debt and saving $30M+ annually in operational overhead.
- 📈 Growth & Monetization turnarounds — quadrupled free-to-paid conversion (0.8% → 3.6%) by embedding automated accessibility scanning into functional test suites.
My methodology centers on AI-accelerated product discovery: leveraging LLM agents, automated evaluation loops, and rapid prototyping tools to compress traditional quarterly discovery cycles into high-conviction product releases.
| Tool / Layer | What I use it for |
|---|---|
| Claude / Cursor / ChatGPT | System design reviews, API contracts, drafting technical specifications, AI evaluation loop design |
| Lovable / Bolt / v0 | Instant generative UI scaffolding, interactive PRD wireframes, customer journey mockups |
| Python & SQL / Databricks | Funnel telemetry analysis, Cohort retention models, RAG chunking experimentation, evals |
| Whimsical / Mermaid / Miro | High-level distributed architectures, agent state machines, user flow teardowns |
| My Brain | First-principles strategy, PM intuition, cross-functional stakeholder alignment, ruthless prioritization |
| Domain | Tools, Frameworks & Core Capabilities |
|---|---|
| Product Strategy & Growth | 0→1 Product Development · Product-Led Growth (PLG) · North Star Metrics · Funnel & Cohort Retention Analytics · GAME Framework · Monolithic-to-Microservices Migration · Monetization Strategy |
| Agentic AI & LLMs | Agentic Workflows · Multi-Agent Orchestration · Retrieval-Augmented Generation (RAG) · Text-to-SQL Engines · Model Evaluation Loops · MCP (Model Context Protocol) · Human-in-the-Loop Guardrails |
| Engineering & Architecture | Java · Python (Flask, SQLAlchemy) · REST APIs · Microservices · Swagger/OpenAPI · JSON Schema · Distributed Systems · System Latency Optimization |
| Data & Cloud Platforms | Databricks · Unity Catalog · PostgreSQL · SQL Server · Snowflake · BigQuery · Power BI · AWS S3 |
| Discovery & Delivery | Root Cause Analysis (RCA) · Technical PRDs · Agile/Scrum · A/B Experimentation · UAT & Release Engineering |
| Consulting & Mentorship | Topmate Verified Mentor · PM Interview Prep (RCA / Product Design / Strategy) · Resume Teardowns |
Embedded automated accessibility scans directly into developer regression workflows.
- Cut total test execution latency by 60% and unlocked a 35% improvement in top-of-funnel acquisition.
- Engineered self-serve subscription tiering, boosting free-to-paid conversion from 0.8% to 3.6% while cutting abusive automated workloads.
B2B SaaS·Developer Tooling·API Design·PLG·Accessibility Automation
Architected an intelligent retrieval system turning natural language prompts into optimized SQL queries against relational databases.
- Cut time-to-insight for non-technical enterprise business operators by 7X.
- Automated contextual entity linking, schema resolution, and safety guardrails on database read executions.
LLMs·Text-to-SQL·NLP·Enterprise Data Plane·Python
A complete, step-by-step master playbook for product design and systems thinking in PM interviews and execution.
- Features battle-tested frameworks, clarification question heuristics, and 7 end-to-end teardowns.
- Covers Accessibility, Fintech, IoT Smart Hardware, Dog Adoption, Social Discovery, and FitQuest VR.
Product Design·System Thinking·User Centricity·IoT & VR·Playbook
A structured diagnostic master framework for root cause analysis in modern products.
- End-to-end teardowns covering YouTube (browse time drift), Rapido (auto cancellations), LinkedIn (signup drop-off), and Airbnb (host registration stall).
- Includes the 7-step diagnostic cheat sheet, diagnostic scripts, and counter-metric evaluation guardrails.
Product Frameworks·RCA·Metric Diagnostics·Case Studies
A comprehensive first-principles estimation playbook combining market heuristics with analytical models.
- Features critical Indian baseline demographics (SEC splits, metro benchmarks, digital adoption constants).
- 6 fully solved end-to-end models: Daily UPI volume, YouTube daily uploads, annual smartphone sales, Wi-Fi penetration, WhatsApp voice calls, and commercial flight fleet sizing.
Market Sizing·TAM Modeling·First Principles·India Demographics·Guesstimates
Senior Product Manager — BrowserStack · 2026 – Present
- Leading accessibility testing and developer productivity infrastructure across global enterprise accounts.
- Scaled aha-moment conversion by 25% through friction-free onboarding flows; increased team NPS by 25 points.
Technical Product Manager — Zoho Corporation · 2023 – 2025
- Scaled Zoho One platform microservices, delivering 10X user engagement and 2X feature release velocities across 50M+ MAU.
- Architected AI data mapping workflows driving $20M+ in cost savings and optimized real-time subscription pipelines for 45+ enterprise accounts.
- Delivered conversational data access through text-to-SQL LLM integration.
- Indian School of Business (ISB) — Master of Business Administration (Tech MBA)
- Specializations: Entrepreneurship & Tech Product Management
- International Institute of Information Technology Bangalore (IIIT-B) — PG Diploma in ML & AI
- Specialization: Generative AI for Market Research & Product Roadmaps
- Anna University — Bachelor of Engineering
- University Rank 1 (Top 1% CGPA) · Riddhi Sparkler / Scholar Supreme Award
- IIMK Executive Education: Data Science and Artificial Intelligence
- Product Space, PMCurve, Upraised: Professional Certificate in Product Management
- Continuous Deep Dives: Model Context Protocol (MCP), Autonomous Agent Loops, Distributed Data Pipelines
I actively mentor future product leaders and engineers breaking into Tech PM and AI Product roles:
- 🎯 Product Management: RCA frameworks, product design rounds, metrics & execution interviews, resume teardowns.
- 🤖 AI/ML Careers: Bridging the gap between ML engineering and business product strategy.
- 📌 Book a 1:1 Session on Topmate: topmate.io/n_aravind_rakesh
"The best products are not just built for users — they are built with a deep understanding of human behavior, scalable systems architecture, and sustainable business value."
Open to Global Technical Product Management & AI Product Strategy opportunities