Find Your Path in the AI Era
Discover Real Career Opportunities in the AI Era
AI Lab
November 6, 2025
Breaking into Frontier Labs
Pathways to working on frontier models at DeepMind, and Nvidia AI lab.
Startup
November 20, 2025
Road to Decacorn: Fastest Growing AI Startups
How to land roles and grow your career in the fast-moving world of AI startups.
Big Tech
December 16, 2025
GenAI Careers at Big Tech
How research becomes large-scale products at companies like Meta and Microsoft AI.
Startup
February 5, 2026
The Founding Engineer's Path at AI Music Startup
How top engineers identify high-conviction AI startups and grow with them.
Industry Series
Upcoming
Robotics: Bringing AI into the Physical World
Opportunities at the intersection of intelligence, embodiment, and real-world engineering.
Role Series
Upcoming
AI Product & Design
Non-engineering roles shaping how humans experience and interact with AI.
Role Series
Upcoming
AI Operations, Sales & Marketing
The business, operations, and go-to-market careers driving AI adoption and growth.
Industry Series
Upcoming
AI Across Industries
How professionals in healthcare, education, law, and more are building AI-driven careers.
Current Event
About this session
Early-stage AI startups are where careers can accelerate — but choosing the right one, and knowing when to make the leap, is far from obvious. How do experienced engineers evaluate conviction, risk, and timing? And what actually changes when you move from a mature Big Tech environment into a founding team?
In this session, we go inside Suno, an AI-native creative company reimagining how music is made. We’ll hear from Gim Miao, a founding engineer who made the transition from Big Tech to an early-stage startup, and helped shape Suno from the inside.
Through a candid conversation, we’ll explore how founding engineers think about startup selection, what it means to build AI-first products in practice, and how engineering roles, ownership, and impact differ from Big Tech.
Guest Speaker: Gim Miao
Gim Miao is a founding engineer and engineering lead at Suno, where he works on AI systems powering music creation at scale. As one of the earliest engineers, Gim has played a central role in shaping both the technical foundations and the engineering culture of an AI-native startup.
You’ll learn
You’ll gain a clear view into how founding engineers evaluate and choose early-stage AI startups — including the signals that matter most when deciding where to take a career bet.
We’ll unpack what engineering work looks like inside an AI-native creative startup, how responsibilities and scope differ from Big Tech roles, and how early engineers influence product direction, technical architecture, and culture.
Past Events
About this session
GenAI is transforming the career landscape inside Big Tech — creating new expectations for both AI-savvy product managers and technical talent. What does it actually take to succeed in these roles? And how different are AI PM positions from traditional product management?
Join this online live session to hear directly from leaders at Meta and Microsoft AI about the emerging pathways into GenAI. Our speaker from Meta will unpack what PM work looks like in the GenAI era — including how AI PM differs from non-AI PM, what skills matter most, and how to position yourself for PM roles in AI. You’ll leave with a clearer map of both product and engineering pathways — and how to stand out in a rapidly evolving GenAI job market.
Guest Speakers
Product Lead @ Meta GenAI | 10+ Year AI PM from leading startup to FANNG
Fengjiao Lyu Krishnan — Member of Technical Staff @ Microsoft AI
We've discussed
• How GenAI is reshaping product and engineering roles inside Big Tech
• What distinguishes AI product management from traditional PM work
• The skills and experiences that matter most for breaking into AI-focused roles
• How to position yourself for AI PM and engineering pathways in a fast-moving GenAI job market
Recap & Highlights
The room was full of people with the same question on their minds: How do you actually break into frontier AI labs? Especially if you don’t have the “right” background?
On November 6th, we sat down with Chi and Edward, both with PhDs and now at leading AI organizations, to talk honestly about paths into AI research. What surprised us most wasn’t their credentials, but how much they emphasized that the path in doesn’t require following their exact trajectory.
Guest Speakers
Zhiyu (Edward) Cheng - NVIDIA
Chi Wang - AutoGen | Google DeepMind
We've discussed
• What a frontier research career looks like inside major labs
• Academic vs. industry research tracks
• Insider prep for research interviews & collaborations
Upcoming Events
About this session
The next frontier of AI isn’t just digital — it’s physical.
From humanoid robots to autonomous warehouses and surgical systems, robotics is where AI meets the real world. But how do you break into such a technically demanding and fast-moving field? What roles exist for engineers, scientists, and operators — and what skills set successful candidates apart?
In this session, we’ll hear from robotics engineers and product leads building embodied AI systems at the edge of research and industry. They’ll share how the field is evolving, what kinds of teams are hiring, and how you can join the movement bringing intelligence into motion.
Speaker archetype: Robotics Engineer / Applied Research Scientist / Product Lead
Example guests: Figure AI, Tesla Optimus, Boston Dynamics, Stanford Robotics Lab
You’ll learn
• How AI is transforming robotics across hardware, software, and simulation
• The key roles and skillsets in modern robotics teams — from control to perception to integration
• How to enter the robotics industry, whether from academia, software, or hardware backgrounds
• What makes robotics careers unique — and how to grow in this rapidly advancing space
About this session
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
About this session
Every breakthrough AI product needs more than great models — it needs people who can bring it to market, build customer relationships, and scale real-world impact.
How do non-technical professionals build careers in AI operations, sales, and marketing? What skills are most in demand, and how can you position your background — in consulting, strategy, communications, or business — to enter this fast-growing space?
In this session, operations and growth leaders from leading AI companies share how they turn cutting-edge technology into thriving products and businesses — and what it takes to join them.
Speaker archetype: AI Operations Lead / Growth Manager / Sales or Marketing Director
Example guests: OpenAI business operations, Scale AI go-to-market lead, Runway partnerships manager
You’ll learn
• What roles exist across AI operations, sales, partnerships, and marketing
• How AI companies hire for go-to-market and business functions
• The skills that make non-technical candidates stand out in an AI organization
• How to translate business and communication expertise into impact in the AI era
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