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.

Here’s what really works in networking

Understand when location matters for referrals and when it doesn't. Learn to stay flexible and build connections across different offices.

BCG Casey Chatbot 6 – Air Cargo Merger (Shipping Merger)

Practice test 6

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

Practice test 10

BCG Casey Chatbot 3 – Novofoods (Mildana)

Practice test 3

BCG Casey Chatbot 5 – AeroView (Spacescan)

Practice test 5

BCG Casey Chatbot 2 – Interstate Highway Corp (Highroad)

Practice test 2

BCG Casey Chatbot 1 – PolarTech (Edison)

Practice test 1

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.

Case Studies of Successful AI Transformations

Review examples of organizations that scaled AI successfully while maintaining trust and engagement.

Training & Scaling: Turning AI into Habit

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

How Real AI Success Happens

Learn from case studies of organizations that scaled AI responsibly through pilots and trust.

From Ideas to Action

Learn how to turn identified AI opportunities into a defined pilot plan and actionable next steps.

Getting Your Data Ready for AI

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

Identify 3 AI Opportunities in Your Organization

Practice spotting AI opportunities and outlining your first potential pilot ideas.

How Might We Examples: 12 Companies Across B2B & B2C Industries

Comprehensive examples guide showing Meh → Better → Best HMW progression for 12 real companies across diverse industries: EdTech (Udemy), Personal Finance (Mint), Wellness (Headspace), Food Delivery (DoorDash), Fitness (Peloton), Collaboration (Slack), Sales (HubSpot), Recruiting (Lever), Analytics (Mixpanel), Customer Success (Zendesk), DevOps (GitHub), and Finance (Brex). Each example includes the customer insight, three HMW versions with explanations of why each works or doesn't, and industry-specific patterns.

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.

The How Might We Framework for Reframing Problems

Learn what makes a great "How Might We" statement (broad enough for creativity, narrow enough to be actionable, outcome-focused), see examples from Notion and Loom showing insight-to-HMW transformation, and get tips for writing HMWs that inspire your team.