2025

From AI enthusiasts to AI professionals

2025

From AI enthusiasts to AI professionals

Breaking Into the AI Era

Breaking Into the AI Era

2025 AI Career Summit

Where do real opportunities lie in the AI era?

 From research labs to startups, design to data  discover how to build your career in the most transformative field of our time. 

 From research labs to startups, design to data  discover how to build your career in the most transformative field of our time. 

 From research labs to startups, design to data  discover how to build your career in the most transformative field of our time. 

Six in-depth sessions

Six in-depth sessions

World-class speakers

World-class speakers

A complete map of AI career paths

A complete map of AI career paths

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    Coming Soon

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Event agenda

Event agenda

Event agenda

Discover the Full AI Career Summit
Event Agenda

Discover the Full AI Career Summit Event Agenda

Session 1

Path to working on frontier models

Session 1

Path to working on frontier models

Session 1

Path to working on frontier models

About this session

How do people join the world’s most advanced AI labs? What backgrounds do frontier research teams actually look for — and how do research scientists, applied researchers, and engineers all fit in?In this session, we’ll hear from researchers at OpenAI, Anthropic, and DeepMind about what frontier work really looks like day-to-day: from model training and alignment research to the culture of these labs.Understand what skills and experiences open the door — and how to chart your own path toward contributing to the next generation of AI breakthroughs.

Speaker archetype: AI Research Scientist

Example guests: OpenAI • Anthropic • DeepMindSenior Track

You’ll learn

• What a frontier research career looks like inside major labs

• Academic vs. industry research tracks

• How to demonstrate impact without a PhD

• Insider prep for research interviews & collaborations

Session 2

Turning research into products at scale

Session 2

Turning research into products at scale

Session 2

Turning research into products at scale

About this session

How does AI research translate into products used by hundreds of millions?This session brings applied scientists and ML engineers from top tech companies to share how they deploy models at scale, balance innovation with reliability, and collaborate across research and product teams.Discover how to break into applied AI roles — and how they differ from core research and product engineering positions.

Speaker archetype: Applied Scientist / ML Engineer

Example guests: Adobe Firefly, Microsoft, Google

You’ll learn

• How research gets productized within large organizations

• The career paths for applied scientists and ML engineers

• How to build the technical portfolio that big tech recruiters notice

• What to expect from day-to-day work in applied AI

Session 3

Entering or founding in the AI startup world

Session 3

Entering or founding in the AI startup world

Session 3

Entering or founding in the AI startup world

About this session

Startups are where AI innovation moves fastest — and where ambitious builders can grow the fastest.But how do you actually get hired at an AI startup? What skills do early-stage teams look for? And how can you stand out when roles are less defined and competition is fierce?In this session, hear from early engineers and product leads who helped build some of the most talked-about AI startups today. They’ll share what startup hiring looks like from the inside — and what it takes to succeed once you’re on board.

Speaker archetype: Early Engineer / Product Lead / Founder

Example guests: Character.AI, Perplexity

You’ll learn

• How AI startups recruit and what they look for in new hires

• The key differences between early-stage and big-tech roles

• How to position your skills and experience for a fast-moving startup environment

• What early employees actually do — and how to grow with the company

Session 4

AI Product Manager / AI UX Designer

Session 4

AI Product Manager / AI UX Designer

Session 4

AI Product Manager / AI UX Designer

About this session

Not every AI career requires writing code — but every successful AI product needs people who can bridge technology and human experience.How do AI product managers and designers turn model capabilities into intuitive user experiences? What skills matter most when breaking into these roles — and how can you stand out without a technical background?In this session, PMs and designers from Google, Figma, and Hugging Face will share how they shape the way people interact with AI — and how you can build a career at the intersection of product, design, and emerging technology.

Speaker archetype: AI Product Manager / AI UX Designer

Example guests: Google Gemini PM, Hugging Face product lead, Figma AI designer

You’ll learn

• What AI-focused PM and design roles look like in practice

• How to stand out as a candidate for AI product and UX positions

• The core skills and mindsets needed to succeed without a technical background

• How to collaborate effectively with engineers and ML teams to bring AI products to life

Session 5

Hardware, compute, and the backbone of the AI revolution

Session 5

Hardware, compute, and the backbone of the AI revolution

Session 5

Hardware, compute, and the backbone of the AI revolution

About this session

Behind every breakthrough model is massive compute power — and the teams that design, optimize, and scale it.As AI systems grow larger and more complex, the demand for engineers, architects, and operators who understand infrastructure for intelligence has exploded.How do companies like NVIDIA, Nebius, and CoreWeave build and manage the hardware that powers modern AI? What roles are emerging in cloud infrastructure, GPU optimization, and distributed training — and how can you position yourself for them?In this session, hardware and infrastructure leaders share how the compute ecosystem is evolving — and where the next wave of career opportunities lies.

Speaker archetype: AI Infrastructure Engineer / Cloud Architect / Hardware Product Lead

Example guests: NVIDIA, Nebius, Lambda Labs, CoreWeave

You’ll learn

• How large-scale AI infrastructure is designed, deployed, and optimized

• The fastest-growing roles in AI hardware, compute, and cloud operations

• How to transition into infrastructure roles from software, systems, or research backgrounds

• The skills that make candidates stand out to companies building the AI backbone

Session 6

Applying AI in real-world domains

Session 6

Applying AI in real-world domains

Session 6

Applying AI in real-world domains

About this session

AI isn’t just for engineers — it’s transforming every industry, from healthcare and education to finance, law, and beyond.How are professionals in non-technical fields finding their place in the AI revolution? What kinds of roles exist for people who bring domain expertise — and how can you make the transition even without a technical background?In this closing session, applied AI leaders from Tempus, Duolingo, and other sectors share how they’ve built impactful careers at the intersection of domain knowledge and machine learning — and what paths are opening next.

Speaker archetype: Applied AI Professional in Non-Tech Sector

Example guests: Tempus (healthcare), Duolingo (education), Harvey (law)

You’ll learn

• How AI is being applied across healthcare, education, and other non-tech industries

• What roles are emerging for domain experts who learn to “speak AI”

• How to collaborate effectively with technical teams as a subject-matter lead

• Practical strategies and entry points for transitioning into applied AI roles