Leland+ for AI Careers

The New Frontier: Landing a Job in AI

​Artificial intelligence is reshaping every industry—and the demand for skilled professionals is skyrocketing. In this panel, Nitin A. (Senior Director of AI @ Microsoft), David H. (Former Talent @ Meta, Intuit, a16z), and Andrew Q. (Former Head of AI @ Spotify) will share how to break into the fast-growing AI field, even if you don’t have a traditional technical background. You’ll learn what hiring managers are looking for, how to position your experience, and where the biggest opportunities are emerging.

Working Effectively With ChatGPT

After reading this guide, you will learn how ChatGPT typically behaves, why its answers sometimes feel inconsistent, and how to respond best to it.

How to get into the top AI and Web3 companies

Are you eager to break into the dynamic worlds of AI and Web3 but unsure where to start? Join me, David, for an insightful session on how to land a role at top AI and Web3 companies. With my background as a former Recruiting Director at Andreessen Horowitz and experience recruiting for tech giants like Meta, Intuit, and Zoom, I have the insider knowledge to help you succeed. ​In this event, we'll cover essential topics such as skill-building, AI strategy, resume reviews, salary negotiation, and behavioral interview preparation. Whether you're just starting out or looking to make a career shift, this session will equip you with the tools and strategies you need to stand out in these competitive fields.

How to Become an AI Leader At Your Company

AI leadership isn’t just about technical expertise—it’s about influence, strategy, and execution. In this session, expert Leland coach and AI Program Director at Fabletics Logan K. will break down how to position yourself as a trusted AI leader within your organization, regardless of your formal role. You’ll learn how to identify high-impact opportunities, communicate AI value to stakeholders, and drive adoption responsibly and effectively.

Building Your AI Portfolio & Outside-In Projects

Detailed strategies for engineers, designers, marketers, and data scientists to craft projects showing value aligned with target companies. Includes best practices for packaging and sharing work and an action-oriented assignment.

Creating Impactful Pre-Job Projects

Walkthrough of building and presenting portfolio pieces that resonate with AI employers, featuring tips on storytelling, technical demonstration, and networking through project sharing.

AI Job Market Noise, Networking Strategies & Referrals

Examines challenges posed by imprecise AI job listings and teaches targeted networking practices, referral system insights, and rapport-building with insiders, plus an assignment to initiate connections and refine messaging.

Mastering AI Networking & Referrals

Guide to building meaningful relationships in the AI ecosystem, overcoming hiring noise, and securing referrals through thoughtful engagement and value-add interactions.

October Series Session 7: Negotiating Confidently

This session teaches you to treat salary negotiation as a normal business conversation about your value.

From Applicant to AI Marketer: Your Blueprint for Landing a Dream Job

Landing your dream job at the intersection of AI and marketing demands more than just a sharp resume—it requires strategic positioning, domain fluency, and an ability to tell your story through data. Join Arthur B., seasoned product marketing leader with experience at Meta, TikTok, Adobe, and now Google AI, to get the inside scoop on what it really takes to break into the AI marketing world. ​Arthur will walk you through how to identify and build the right skills, tailor your narrative for AI-driven roles, and structure your application to land attention in a crowded field. ​Whether you’re pivoting from a traditional marketing role or entering the AI space for the first time, this session will give you a clear blueprint to differentiate yourself and move confidently toward your ideal role.

Introduction to the AI Company Landscape & Assignment

This will introduce the AI jobs landscape and also share reading to help you dive deeper to understand the entire AI market. There is an assignment to research three companies of interest to better understand what companies in this space do.

Walk through of AI Company Landscape with Live Examples

In this live guided walkthrough, we'll walk through Bessemer's AI market map to understand the entire landscape of how these AI companies operate together, and talk about different considerations in taking jobs in different parts of the AI stack.

Introduction to Roles in AI — How It Differs from Traditional Tech

This reading introduces you to key roles like research engineer, forward deployed engineers, and different GTM jobs at AI companies. It includes an assignment designed to teach you how to better understand these roles.

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.

Which AI job is the right fit for me?

Reading to understand roles and impact on things like work-life balance, focus time vs. meetings, and more. Includes a research assignment and table laying out different aspects of each job.

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.

Understanding AI Compensation Data 2025

Provides updated, accurate AI salary ranges across roles such as AI researcher, MLE, and FDE, based on Glassdoor, Levels.fyi, and recent industry reports including the NYT's superstar compensation story. Includes assignment to benchmark target roles against market pay.

Navigating AI Salary Data & Market Trends

Walkthrough of key salary datasets and trends, explaining what drives compensation differences and how candidates can evaluate offers and align career goals with compensation realities.