The Industry Readiness Masterclass.
Stop being the smartest person in the room with the smallest paycheck. Translate your high-level research depth, academic milestones, and raw analytical logic into the specific narrative assets and technical execution models Big Tech hiring bars demand.
Apply for Next Cohort Intake95%
Loop Penetration
Of active cohort researchers successfully convert raw profiles and advance deep into active final-round FAANG+ loop architectures.
+$150k
Average Salary Delta
The proven economic income adjustment generated when shifting directly out of institutional lab tracks into Big Tech Product environments.
24+ Hrs
Live Telemetry Craft
Of rigorous live strategy sessions, case work autopsies, and peer loop defenses run directly by Harsh.
"My academic CV was 8 pages long and completely invisible to tech recruiters. This system systematically dismantled my academic ego and translated my methodology into a high-signal asset that generated 3 immediate Big Tech loops."
21 Cohort Success Transformations
"The cohort sessions helped me format my AI portfolio. Harsh's breakdowns on non-deterministic model metrics changed my approach to product loops and got me an immediate Meta L5 conversion track."
"I spent months getting zero traction with an academic CV. Transitioning to the logic block architecture from the masterclass generated interview callbacks at Amazon and Google inside 14 days."
"The technical jargon frameworks removed all academic fluff from my interview delivery. I learned how to frame complex optimization models as product-led growth assets that hiring managers immediately valued."
"Tech panels are always worried that academics are too theoretical for production timelines. This curriculum gave me the roadmap frameworks to prove I could manage fast-paced agile development cycles effortlessly."
"Harsh's mock reviews are incredibly rigorous. I went from rambling during case questions to delivering structured, high-signal metric deep dives that sailed through my Amazon Bar Raiser loop."
"Applying the LinkedIn networking protocols from Phase 3 changed my outreach results. Instead of cold entries, I secured warm internal executive referrals at two premier deep tech labs within weeks."
"The compensation scripts completely changed my numbers during the offer phase. I was prepared to anchor low, but the negotiation playbooks unlocked an extra $45k in recurring equity components."
"I was worried my specialized lab work wouldn't scale to consumer tech. This program showed me that the underlying metrics logic and systems discovery frameworks are completely universal assets."
"The technical one-pager templates allowed me to position my machine learning dissertation directly as a validated product feature. The interview panel explicitly noted my Day 1 production readiness."
"The business strategy frameworks bridged my entire industry execution gap. I learned how to connect resource constraints directly to product ROI metrics, which impressed my executive review panel."
"Learning how to compress complex technical explanations into sharp, executive-level summaries completely dismantled the academic bias that kills most research loops early."
"My university's career services had no understanding of what top tech companies look for. Shifting to the high-signal portfolio system in this class saved my job search metrics."
"The guidance on restructuring my public repositories transformed my unorganized academic scripts into clean, production-ready system architectures that engineering managers validated immediately."
"The live case autopsies inside the masterclass cohort provide a level of strategic depth that asynchronous materials can't match. You see exactly what a Senior PM bar looks like."
"The scripts for informational peer outreach removed all friction from networking. I transformed two cold connections into fast-tracked internal job referrals within two weeks."
"The keyword optimization strategies from Week 12 completely changed my profile visibility. I went from chasing applications to having corporate tech recruiters contact me directly."
"The return on investment for this program is clear. I moved away from an underpaid laboratory track and secured an executive product package within 90 days of my cohort end."
"The Story Bank framework helped me re-engineer my lab history. It taught me to stop presenting like a professor and start communicating impact and scale like a true tech owner."
"Navigating tech loops while on an active OPT/H1B visa is highly stressful. This program focuses purely on highly predictable, conversion-oriented interview metrics to maximize loop performance early."
"The system design and API architecture deep dives inside Phase 1 gave me an immediate leg up. I was able to defend complex structural decisions with engineering directors comfortably."
"Harsh showed me exactly how to bridge my pure mathematical models into commercial value equations. Shifting my terminology immediately unlocked final-round tracks at Netflix and Apple."
Deep Curriculum Architecture
Phase 1 | Weeks 1 - 4
Core Foundations & Strategy Architecture
Build an ironclad understanding of the tech stack, competitive positioning models, and user discovery frameworks to pass initial evaluation screens smoothly.
Core Foundations & Strategy Architecture
Build an ironclad understanding of the tech stack, competitive positioning models, and user discovery frameworks to pass initial evaluation screens smoothly.
Foundations of Product Management
- Introduction to the modern product management role, encompassing both B2B and B2C scenarios.
- Deep dive into the Product Management Life Cycle, including the Discovery, Delivery, and Distribution phases.
- Understanding essential hard and soft skills for product management and how to develop them.
- Exploring the integration of AI in product management to enhance product sense.
- Overview of various AI tools applicable across the product management lifecycle.
- Linking innovation, product, and growth strategies for successful product and brand management.
- Examining the evolution of product management and key drivers of a product concept.
Product Strategy and Creative Execution
- Creating a product vision driven by customer insights and business opportunities.
- Developing a solid product strategy and aligning it with a clear product roadmap.
- Crafting effective Product Requirements Documents (PRDs).
- Implementing effective execution and goal setting using OKRs, sprints, and agile methodologies.
- Understanding how AI is transforming product strategies and leveraging it for advantage.
- Integrating data tools with AI (GPT/Claude/LLAMA).
- Applying expert methods to generate product artifacts with AI, such as PRDs, roadmaps, stakeholder management plans, and user stories.
- Delving into the product development process, design thinking, understanding customer needs and behavior, and the role of marketing in product development.
- Focusing on creating superior value for customers throughout the product development process.
User & Market Research - Product Discovery and Analysis
- Learning to discover, validate, and articulate impactful user problems.
- Understanding user psychology and motivation theories.
- Identifying product opportunities through surveys, user interviews, and secondary research.
- Converting research findings into user personas and customer journey maps.
- Applying frameworks like Jobs to be Done (JTBD), 5 Whys, and MOM's Test for effective research and framing.
- Addressing common user challenges in building AI products.
- Utilizing top product management frameworks and decision models with AI.
- Conducting competitive research and market analysis using AI tools like NoteBookLM and Napkin AI.
- Defining markets, assessing potential, and understanding segmentation and targeting strategies.
Competitive Positioning and Technology Acumen
- Understanding the need for technological acumen for product managers.
- Exploring how the internet works and the 3-layer architecture (front-end, databases, backend).
- Reviewing popular tech stacks (Google, Twitter, Product Hunt).
- Understanding storage and databases, and how to use SQL as a product manager.
- Learning about APIs and webhooks.
- Analyzing the system design of popular applications like Instagram and Youtube.
- Understanding the technology behind mobile apps, Git, GitHub, and deployment management.
- Introduction to Cloud and AI/ML product management, and effective collaboration with engineers.
- Developing skills in competitor mapping and analysis.
- Understanding the importance of positioning strategy, how to position for market advantage, and creating disruptive positioning strategies and communication.
Phase 2 | Weeks 5 - 8
Data Analytics & AI Architecture Engineering
Deep dive into analytical metrics pipelines, core machine learning mechanics, context optimization layers, and non-deterministic system evaluation design.
Data Analytics & AI Architecture Engineering
Deep dive into analytical metrics pipelines, core machine learning mechanics, context optimization layers, and non-deterministic system evaluation design.
Product Analytics and Experimentation
- Embracing data-driven decision-making for product managers.
- Identifying important product metrics for various business types.
- Understanding and defining North Star metrics.
- Learning how to select the right metrics for any product and feature.
- Implementing event-based tracking, including users, events, and properties.
- Extracting insights using funnels, segmentation, and cohort reports.
- Conducting experiments and A/B testing.
- Utilizing AI for de-duplication and data cleaning.
- Integrating data tools with AI (GPT/Claude/LLAMA).
- Revisiting the product development process, including expediting decisions, understanding opportunity cost and development risk.
- Grasping product-market fit and product-company fit.
- Understanding Minimum Viable Product (MVP) and growth hacking.
Phase 3 | Weeks 9 - 12
Agentic Automation & Scaling Systems
Master agent orchestrations, commercial monetization mechanisms, user adoption loops, and custom AI tools optimization frameworks.
Agentic Automation & Scaling Systems
Master agent orchestrations, commercial monetization mechanisms, user adoption loops, and custom AI tools optimization frameworks.
Deep Dive into AI Agents and Willingness to Pay
- Understanding AI Agents: what they are and how they operate.
- Exploring the 7-step AI Agent development framework (The AI Agent Stack).
- Learning how to effectively use AI Agents.
- Understanding Model Context Protocol (MCP) and its application in building and distributing AI agents.
- Discovering how AI Agents can enhance existing AI products.
- Building and deploying your own AI Agent.
- Examining common pricing approaches.
- Measuring customer Willingness to Pay (WTP).
- Setting appropriate pricing levels and understanding the role of cost.
Designing AI Product Experiences and Product Positioning/Branding
- Exploring the nuances and best practices in designing AI product experiences.
- Addressing AI-native challenges such as hallucinations, streaming, latency, and undeterministic behavior.
- Building AI products with considerations for regulations, trust, safety, and security.
- Creating effective feedback loops and making informed model choices.
- Utilizing Streamlit and Gradio for rapid AI interface development.
- Innovating beyond the product itself.
- Building strong brands: understanding the Brand Ladder, Brand Health, and distinctions between Consumer, B2B, and B2C branding.
- Differentiating Customer Equity from Brand Equity.
- Understanding the role of marketing and brand strategy, and why brands are crucial for pricing power.
AI Product Adoption, Growth & Scaling and Distribution Management
- Implementing data feedback loops and adopting platform thinking for AI product managers.
- Driving product-led growth in AI products for both B2C and B2B contexts.
- Addressing challenges in scaling AI products.
- Strategies for scaling an AI product effectively.
- Analyzing the growth patterns of successful AI products (e.g., Cursor, Lovable, Grammarly, Notion AI).
- Managing profitability and distribution relationships.
- Understanding price positioning against distributor's private labels.
- Managing trade incentives and discounts.
- The role of brands in eCommerce, pricing solutions, dynamic pricing, and product platforms.
PM Outcomes with AI and Product Performance Metrics
- The optimal approach to leveraging AI as a Product Manager.
- Effectively using AI for research and experimentation.
- Harnessing AI tools to build and enhance your product management portfolio.
- Utilizing AI tools for improved stakeholder management.
- Developing your own AI tools to streamline your product management workflow.
- Applying the AARRR Framework for comprehensive product performance analysis.
- Understanding Return on Marketing Investments (ROMI).
- Fine-tuning strategies across diverse geographical product-markets.
- Utilizing strategic metrics for growth and resilience.
Career Acceleration
Interview, Negotiation and Job help
A continuous execution asset mapping directly beside your weekly curriculum modules to completely prepare you for high-stakes Big Tech interview evaluations.
Interview, Negotiation and Job help
A continuous execution asset mapping directly beside your weekly curriculum modules to completely prepare you for high-stakes Big Tech interview evaluations.
Profile Optimization & Custom Assets
- Building a PM-focused Resume
- Revamping your LinkedIn Profile
- Creating a comprehensive Product Portfolio
Core Tactical Interview Loops
- Product Sense & Design Questions
- Execution & Analytical Questions
- Metrics & Strategy Questions
- Guesstimate questions and common live prompts
- Take-home product assignment case study practice
Storytelling & Offer Close Strategy
- Behavioral Questions & Structured Storytelling
- High-pressure Mock Interview Sessions
- Live Vibe Coding Sessions
- Advanced mechanics for negotiating executive job offers
"Having a real Big Tech Senior Product Manager break down my technical portfolio completely changed my strategy. The closing negotiation sequences alone allowed me to secure an initial compensation tier that completely offset the program investment."
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