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You've never succeeded in these types of interviews, or it's been too many years and you're rusty. You figure you can get ready in 3-4 weeks so you schedule the first round.
As the days pass, you realize you have no idea how to actually tackle the questions in Lewis Lin's question bank. You wonder, \"What's the fastest way for me to ramp up on these interviews?\"
I've been in your shoes, taught myself how to ace the interviews and landed a PM role at Meta (back then Facebook).
Six years later, Product Sense and Analytical Thinking are two of the most common PM interviews in tech, many top companies inspired by Meta.
And these interviews are basically the same as they were in 2020.
With AI catalyzing a massive push for senior talent in big tech, IC6+ roles are growing like wildfire with total comp packages from $300k to $1MM+ for elite PM roles at top companies.
If you're rusty with case interviews, you need this course (or one like it) to get ready. Otherwise you'll struggle to pass them. It's the truth.
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-- -- --
You're a skilled professional who KNOWS you have what it takes to work at big tech. But you haven't cracked those interviews yet.
You're impacted by:
→ Interview anxiety
→ Stories without structure
→ Not knowing expectations
→ Blanking during behavioral questions
IN THIS COURSE YOU'LL LEARN
- How to craft Big Tech ready resume
- How to deliver high-impact responses in STAR format
- How to craft compelling technical achievement stories
- How to effectively communicate leadership experiences
- How to blend technical depth with strong behavioral skills
- How to maintain authenticity while following structured frameworks
- How to project confidence through voice, body language, and pacing
- How to share lessons learned from past failure and conflict experiences
- How to craft and deliver senior level responses to get hired at the right level
Then put it all into practice with free AI-powered mock interviews for a week.
With the right strategy and preparation, you can showcase your expertise and demonstrate your leadership potential.
Note: This is not a DSA or System Design interview prep course
Tech ICs and leaders targeting their first MAANG+ role
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✉️ maven@aiproduct.com | Corporate & group discounts available
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How do you answer these questions for AI products? You’re responsible for “running evals” but what does that mean?
How do you choose the right metrics, interpret fuzzy results, and make a confident decision?
This course gives you a framework to do just that.
Map user value to evaluation (eval) objectives so your metrics aren’t abstract. Define success then translate it into measurable criteria.
Choose metrics you can actually maintain: capability, safety, UX friction, latency, cost and “does this reduce support tickets or increase activation.”
Set ship/no-ship thresholds you can defend to leadership.
Build lightweight workflows that work in real teams: human review where it matters, automation where it lasts, documentation that drives decisions.
Consider domain constraints (e.g., healthcare safety) and know what to avoid: silent failures, misleading proxy metrics and tests that don’t reflect production.
Tie everything to ROI: impact vs unit cost, eval coverage vs reliability, and the minimum viable monitoring you need post-launch.
Experience AI evals through a case-based approach with a real AI product that we evaluate together.
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Creator of the Unified Personality Architecture: Co-developed a statistically rigorous framework with Prof. Utho Creusen to translate complex psychometrics into a single actionable scale.
Enterprise & Private Equity Coach: Successfully implemented performance and M&A integration frameworks for high-stakes clients including Airbus, Daimler, and msg.
Host of the Stärken Snack Podcast: A leading thought leader broadcasting regular insights on data-driven leadership, psychological safety, and cognitive diversity.
You cannot fix burnout by working harder. You have a matching problem.
AI is making your team's hard technical skills obsolete faster than they can learn them. You cannot fix this \"AI anxiety\" or burnout by asking them to work harder. You don't have an effort problem; you have a matching problem.
Most Engineering Managers spend 70% of their week trapped in the \"Mediocrity Loop\" - refereeing personality clashes, fixing broken handoffs, and watching their team's shared knowledge collapse as junior roles vanish. You're bleeding runway and morale.
This 30-day accelerator gives you the system to break out. Using the Big Five (or CliftonStrengths) assessment, a proven framework, and the Strength Hack AI, you'll map your team's cognitive architecture and engineer the conditions for psychological safety - not just hope for it.
In 4 weeks, you will:
Stop Generalist Exhaustion: Identify energy leaks and delegate based on Cognitive Fit, not calendar space.
Engineer Swift Trust: Use the 6-dimension Matching Compass to translate friction into synergy.
Drive ROI: Transition from a reactive referee to a strategic orchestrator
The Overwhelmed Engineering Manager / Tech Lead
You lead a hybrid or remote team. You want a data-driven system, not another workshop.
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