2026
The Network Behind AI’s Next Chapter
Frontier Talent × Breakout AI Teams
The AI Network for the Top 1%
Where AI Builders Connect
Talent Tensor Events
Where AI Builders Meet The Most Ambitious AI Teams
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.
Multimodal - Music
February 5, 2026
The Founding Engineer's Path at AI Music Startup
How top engineers identify high-conviction AI startups and grow with them.
Multimodal - Video
March 5, 2026
Building AI Agents with Taste, Rigor, and Soul
Private dinner discussion on to design AI creative products that feel intentional and expressive.
Role Series
March 19, 2026
Forward-Deployed Engineers: The New Power Role in AI
Customer-close engineering and deploying AI systems in the real world
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.
Event & Speaker Details
Recent Event
About this session
AI agents are beginning to shape creative execution.
We’re moving beyond “cool demos” and generic wrappers and into a phase where taste, evaluation rigor, and product judgment determine whether AI systems actually create value.
As multimodal and agentic systems become more capable, how do we design AI video products that feel intentional, expressive, and human—rather than synthetic or interchangeable?
Topics
Multimodal & Agentic Systems for Creative Work
Evaluation Beyond “Vibes”
Taste, Aesthetics, and Brand Consistency in AI Video
From Prototype to Production in Creative AI
Human–AI Collaboration in Video Creation
What You Can Expect
We’re inviting a small, curated group of AI leads, senior ML engineers and applied researchers to join us for a private, invitation-only dinner.
You’ll be in conversation with 15–20 experienced builders working at the frontier of multimodal AI, video systems, and creative tooling—people actively shaping how these technologies are designed, evaluated, and shipped in the real world.
About this session
Forward-deployed engineers sit at the intersection of engineering, product, and real-world deployment. They work closely with users to implement AI systems, solve messy operational problems, and turn cutting-edge models into practical tools that companies rely on every day.
But what does the role actually look like? How technical is it compared to traditional software engineering? And why are more AI companies building entire teams around this function?
In this session, forward-deployed engineers from leading AI companies share how they bridge the gap between powerful models and real-world applications — and why this role is becoming one of the most important positions in modern AI organizations.
Guest Speakers
Head of FDE, Cresta
Forward Deployed Engineer, Cogent
Forward Deployed Operator, SuperDial
You’ll learn
How forward-deployed engineering differs from traditional software or research roles
What the day-to-day work looks like when deploying AI systems with real customers
Why many AI startups and labs are building forward-deployed teams
What skills make engineers successful in customer-facing technical roles
Session & Speaker Details
Past Events
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.
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
Session & Speaker Details
Upcoming Events
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