Syllabus - Product Management course
Google-Reichman Tech SchoolDates: 23.11.2025 - 15.3.2026 Lessons: Sundays at 16:00-20:00 Practice sessions: Tuesdays 18:00-19:30
*changes may apply
Course Overview
Product management in tech companies is a fascinating profession that balances passion for technology, empathy for customers, business sense, and neverending drive for success through optimization. AI is an inherent part of the PM role. First, an AI-powered PM leverages AI tools to optimize research, design, and management. Second, an AI PM is fluent in defining how AI APIs or MCPs can be used to add new capabilities to their existing product.
This course is intensive, up-to-date, and comprehensive. It is not a short intro course, it dives deep into core aspects of PM and AI-PM during 4 months. There are two weekly sessions, a 4-hour expert lecture-workshop session and a 1.5 hours hands-on practice session via Zoom. Practice is essential for learning, lecture alone is not enough.
The course is designed for professionals with 3+ years of experience, as PMs or as members of product teams (Dev, Data, Design-UX-UI, QA, CS, Research). We will cover the essential aspects of product management, all with AI integrated into the work processes: the PM role in B2C and B2B, product discovery using qualitative and quantitative research, product metrics both classics and custom, funnel optimization and growth, product strategy and roadmaps, integrating AI features into existing products, leveraging AI in all PM processes, continuous product delivery, management aspects of product teams, and the essential aspects of product operations.
Unit 1: The PM Role - Frameworks and Metrics
- Lecturers: Prof. Oren Zuckerman and Ron Shahnovsky
- Topics covered: The PM role in B2C and B2B companies, the essential PM frameworks. Business metrics and product metrics, A/B testing, B2C and B2B Funnels, top-of-the funnel customer acquisition and product-led-growth strategies, engagement and retention conversion optimization strategies
- Industry case studies* by: Gong, Monday (*subject to change)
Unit 2: Product Discovery, Design, and Prototyping
- Lecturer: Prof. Oren Zuckerman
- Topics covered: User research with and without AI, Customer interviews with real and synthetic users, Need identification, Need validation, value creation not feature creation, problem definition and problem-solution fit, UX principles, AI prototyping, user testing for value validation.
- Industry case studies* by: Simply, Appsflyer, Waze (*subject to change)
Unit 3: Product Data, AI tools, AI capabilities
- Lecturer: Asaf Barzilay, Galit Galperin, Shmulik Davar
- Product data: Product data lifecycle, feature dashboards, custom metrics, from data to insights, reporting to product teams, reporting to management, leading impact based on data
- AI tools for PMs: AI tools in the product management lifecycle, including strategy formulation, customer discovery, and feature prioritization
- AI capabilities: Integrating AI capabilities into existing products: APIs and MCPs
Unit 4: Product Strategy
- Lecturer: Hadas Sheinfeld
- Topics covered: Strategy and metrics, roadmaps, prioritization, long term planning
Unit 5: Managing Product Teams and Product Delivery
- Lecturer: Ron Shahnovsky, Principal Product Manager and Team Lead at Microsoft.
- Topics covered: Understanding the product manager’s dual role: inbound and outbound. The Product Taskforce: Collaborating seamlessly with engineering teams and other partners for efficient product delivery.
Unit 6: Product Operations using AI agents and automations
- Lecturer: Ron Shahnovsky, Shmulik Davar
- Topics covered: Optimizing day-to-day work using dedicated platforms
- AI PM internal automation and agents
Unit 7: Job search, Job interviews, Individual strengths and weaknesses
- Lecturer: All faculty including 1:1 sessions with industry mentors
- Topics covered: The PM job market, how to search, how to interview, product sense, the AI perspective, breadth and depth, prioritization, know your strengths and weaknesses
Unit 8: Power Skills
In addition to technical expertise, product managers need key “power skills” such as networking to build industry connections, strong communication to convey product vision, and the ability to transition into new roles within a company. Effective job search skills, including crafting a strong resume and preparing for interviews, are also essential for career growth. These soft skills are critical for standing out in the product management field.
Practice sessions
Throughout the course, students will have a 1.5 hours hands-on practice session every Tuesday at 18:00-19:30, by Itamar Gilon, Senior Product Manager at HiBob. Practice sessions include training with relevant tools from Mixpanel to Figma to Lovable/Base44, working on assignments
