Leland+ Content Library

Which AI job is the right fit for me personally?

A guided walkthrough discussing how to view different jobs like research engineer, forward deployed engineers, and different GTM roles and which one might be a fit for you based on your skillset and experience.

Walk through to Roles in AI — How It Differs from Traditional Tech

This guided session introduces you to key roles like research engineer, forward deployed engineers, and different GTM jobs at AI companies and how to think about them.

Still no referral? Here’s your final play

Learn when to make your move, how much notice to give, and how to turn a good relationship into an actual referral.

BCG Casey Chatbot 10 – National Health Trust (Ministry of Health)

Practice test 10

BCG Casey Chatbot 4 – Transitz (Mover)

Practice test 4

BCG Casey Chatbot 1 – PolarTech (Edison)

Practice test 1

BCG Casey Chatbot 5 – AeroView (Spacescan)

Practice test 5

BCG Casey Chatbot 7 – Metro Financial Group (UCB)

Practice test 7

BCG Casey Chatbot 8 – Lifeguard (Vivita Project Wapple)

Practice test 8

BCG Casey Chatbot 3 – Novofoods (Mildana)

Practice test 3

BCG Casey Chatbot 2 – Interstate Highway Corp (Highroad)

Practice test 2

US-Style Networking: How To Land a Job in the States

Networking is one of the most powerful tools for landing opportunities in the U.S.—but it often looks very different from what international students and professionals are used to. In this workshop, Leland coaches Fiona T. (expert in finance recruiting), Madhuri M. (former hiring manager at Adobe), and Alyssa T. (Bain consultant) will break down the unique culture of U.S.-style networking and share practical strategies for building authentic connections that open doors to jobs and internships.

Turning AI Learning into Real Results

Apply course concepts to identify your first pilot and define measurable next steps.

Training & Scaling: Turning AI into Habit

Learn how to embed AI into daily routines through consistency, peer learning, and visible wins.

Getting Your Data Ready for AI

Learn how to prepare and structure data for AI by focusing on access, cleanliness, and context.

Interview Synthesis Guide: From Data to Decisions

Step-by-step synthesis guide covering the 5-step process (consolidate, identify patterns, prioritize, validate JTBD, decide what to build), pattern-finding questions to ask across interviews, priority framework matrix, common synthesis mistakes to avoid, signs you've done good synthesis, and an action plan.

Jobs to Be Done Framework Reference Guide with Multi-Industry Examples

Reference guide covering the JTBD formula, real-world examples across B2B and B2C companies (Spotify, Peloton, Slack, HubSpot, Figma, and more), and quick tips for applying JTBD thinking to your startup. Use this to understand the framework deeply and see how different companies address different jobs for different customer segments.

Synthesizing Interview Discoveries into Useful Insights

Learn how to consolidate interview data, identify patterns (problem, solution, pain point, language, and buyer patterns), prioritize insights using frequency × urgency framework, validate your JTBD statement with real customer language, and make three critical decisions: Is this worth solving? What's the MVP? Who do we build for first?

Why AI? Setting the Foundation

Understand the purpose of AI in organizations and how a people-first approach drives lasting value.

How Might We Framework Summary Guide

Reference covering what HMW is, how to write HMW statements step-by-step, good vs. bad examples with explanations, common mistakes to avoid (prescribing solutions, being too vague, ignoring research), insights for creating your own HMWs, and validation checklist. Use this to turn each key insight into 2-3 different HMW framings and select the most inspiring ones.