Career signal & proof
Clear the AI-role interview loop
Explain past projects, answer role-specific technical questions, take-home tasks and system/product design rounds.
~12 focused hours·intermediate
Tools: Portfolio repos, a mock-interview partner or Pramp, a personal 'project stories' doc (STAR format)
Market relevance — share of job ads asking for this
Prerequisite capability — not asked for directly, but needed for others.
What employers mean
You should be able to…
- Explain a past project's architecture and decisions clearly under interview pressure
- Answer role-specific technical questions (eval design, RAG vs fine-tuning, cost trade-offs)
- Complete a take-home task within the given time budget and document assumptions
- Handle a system/product design round for an AI feature from a blank page
- Answer 'tell me about a failure' questions honestly with a concrete lesson learned
- Ask good clarifying questions before diving into a design or take-home task
Needs first: Publish a portfolio employers can verify
Learn — free, link-checked
The few resources that matter
Read · intermediate · 30 min · tryexponent.com
AI Product Manager Interview Questions
A real question bank (not generic PM questions) covering feasibility, metrics and trade-off framing for AI roles. — Exponent
Read · intermediate · 30 min · tryexponent.com
Forward Deployed Engineer Interview: The Definitive Guide
Maps almost 1:1 to what Indian GenAI startups (e.g. Sarvam AI-style roles) ask about running a client POC end to end. — Exponent
Use · intermediate · 60 min · pramp.com
Pramp free peer mock interviews
Free, live peer-to-peer mock interviews — the only way to practice explaining trade-offs out loud under time pressure. — Pramp
Practice
Interview-readiness sprint: STAR stories + 2 mock interviews
Write STAR-format (Situation/Task/Action/Result) stories for your 3 strongest portfolio projects, covering at least one technical deep-dive, one stakeholder-communication story, and one failure/lesson-learned story. Then complete 2 mock interviews (Pramp or a peer) covering a system-design round for an AI feature and a behavioral round, and revise your stories based on the feedback.
Done when
- At least 3 STAR stories written covering technical, communication, and failure themes
- 2 mock interviews completed with a partner or platform, with notes on feedback received
- Stories are revised at least once based on mock-interview feedback
- A one-page 'project cheat sheet' exists summarizing each portfolio project in 3 sentences
Prove it
Evidence a recruiter can check
- STAR stories document
- Mock interview feedback notes (dated, showing iteration)
- One-page project cheat sheet
Interview
Questions you'll get asked
- Walk me through the architecture of your most complex portfolio project.
- Design an AI-powered feature for [X] — what would you build first and how would you evaluate it?
- Tell me about a project that failed or underperformed — what did you learn?
- How would you approach a take-home task if the requirements are ambiguous?
- What clarifying questions would you ask before starting a system design round for an AI chatbot?
- Walk me through how you'd evaluate whether an AI feature is ready to launch.