Coach TSTKBased in United States
Staff Product Manager
MetaBeforeBlackRock, Ernst & Young U.S. LLP, JPMorganChaseBlackRock, Ernst & Young U.S. LLP, JPMorganChase
- Level
- Staff or Lead
About
I specialize in helping candidates prepare for Product Management, AI Product Management, Software Engineering, Data Science, Technical Program Management, and senior leadership interviews, drawing on my experience at Meta, my technical background in Machine Learning and Big Data, and my experience building and scaling AI-driven products. How I run sessions: My approach is structured, interactive, and tailored to your target role, company, and experience level. I start by understanding your goals, then conduct realistic mock interviews that simulate actual interview conditions. Each session concludes with candid, actionable feedback on problem-solving, technical depth, communication, and areas for improvement. What I'm best at: Product Management: Product sense, strategy, execution, metrics, experimentation, and prioritization. Software Engineering & System Design: Scalable architectures, distributed systems, API design, databases, caching, and technical trade-offs. Data Science & Machine Learning: Statistics, A/B testing, ML fundamentals, model evaluation, analytical problem-solving, and applied AI. AI & LLM Interviews: RAG, AI agents, LLM architectures, prompt engineering, evaluation frameworks, and production AI systems. Behavioral & Leadership Interviews: STAR storytelling, stakeholder management, cross-functional leadership, and demonstrating measurable impact. Mock Interviews: Realistic interview simulations with targeted feedback to improve structure, clarity,
Interview rounds they run
- SQL
- Analytics case
- Product case
- Statistics and experimentation
- ML system design
- System design
- Project deep dive
- Behavioral
For Product Manager interviews.
Also helps with
- Metrics and KPIs
- Statistics
- Probability
- Product analytics
- Advanced SQL
- Dashboards and BI
- Machine learning
- Deep learning
- LLMs and GenAI
- Recommender systems and ranking
- Data modeling
- Data pipelines and ETL
- Data quality and governance
- Distributed systems
- Databases and storage
- Resume and LinkedIn
- Prep plan and timeline
- Take-home assignments
- Portfolio and side projects
You never see this coach's name, and they see only your first name. Cameras start off and nothing is recorded.

