@gokulr@vijayeraji@OpenAI +1. @vijayeraji is one of the all time scrappiest builder there is in the valley + he and team (inc @0xa5ad) have all the domain experience needed here
@Benioff@DavidSacks One of the best investments we’ve done at @Tubi has been doubling down here with our Tubi Builders Program. More companies should do it. https://t.co/mp6IAAAe1R
Hello from Toronto 👋 - Tubi’s newest tech hub!
Toronto is one of North America’s best cities for engineering talent, rooted in its top academic institutions and diverse culture, which is why we’re excited to open an office here.
Our aim is to make @Tubi a top five destination for engineers in Toronto who want to tackle problems like ML systems trained on billions of hours of viewing, product development across 30+ platforms, next-gen ad tech at billion-plus-dollar scale, and infra that serves 100M+ monthly users and major live events such as the Super Bowl.
We also want our office to be a welcoming hangout spot for the local tech community. So, to mark our office opening, I moderated a panel on How AI Changes Product Development in the Next 12 Months with a group I've been wanting to get in a room for a while: Qaiser Habib (Snowflake), Jeff Hodnett (Faire), Leho Nigul (Warner Music), Irfan Cehajic (Instacart), and two of Tubi’s most senior eng leaders Tian Chen & @MikeTamir.
A few takeaways from the conversation:
1. The bottleneck has moved. Coding is increasingly resolved. What matters most now is what to build and along with best ways to verify the work especially as agents run longer and can build anything for an increasing group of people in the company.
2. Roles (and interviews) are evolving fast. Engineers are expected to have more product sense; candidates are using coding agents in interviews; teams are rethinking loops, from live builds to product judgment to even revisiting brain teasers.
3. Three traits in talent matter most going forward: 1. Rapid learning (to keep up) 2. High Agency (to seize this moment of disruption) 3. Product Sense (taste/judgement for what to build)
4. Teams are getting smaller, expectations are getting bigger. More leverage → smaller pods, but also more ambition, more experiments, more surface area, more backlog getting tackled which is keeping overall org sizes the same or growing.
5. The stack is becoming agent-native. Infra and apps are evolving so agents can both build internally and interact externally in more native ways.
6. Keeping pace is hard but pays off quickly. Everyone had a personal workflow they’re constantly refining from a chief-of-staff agent, to leveraging voice on the go with their agent (or NotebookLM), to talk through papers/articles/ideas, to weekend/night prototype projects, and more.
If any of these resonate, we’re hiring across engineering in Toronto as we build this out.
Tubi was recently named the #1 Most Innovative Video Company of 2026 by Fast Company (#15 overall), and that recognition is really a reflection of the team and culture behind it. We’re excited to keep building that in Toronto. If you’re interested, check out our open roles (https://t.co/QU3FPrPnIn) or reach out to @dw__3000 Watson (Tubi's Toronto Site Lead / SVP Eng) or me directly!
Excited to see @Tubi featured in @WSJ following great conversations with @bellelin_, with perspectives from both me and @anjsud, on how we’re using AI to win over Gen Z audiences by improving all three sides of our marketplace (Viewers, Content Creators, Advertisers).
A few key ideas behind our approach:
1. Hyper-personalization at scale: combining deep learning + LLMs, including Tubi Foundation Model (built on open source pretrained model and fine tuned on our proprietary data) to understand not just what you watch, but why
2. AI is expanding discovery: as people turn to conversational interfaces and AI agents, we’re meeting viewers at the moment of intent (including with our recent native ChatGPT app launch)
3. One AI foundation, multiple unlocks: the same content understanding that powers discovery also drives more relevant, scene-aware advertising such as our our Tubi Moments ads product
4. Creator economics are changing: AI is a tool for creators, lowering the barrier to storytelling and expanding who gets to create
5. Built for experimentation and velocity: Tubi is fueled by experimentation (almost 2000 per year), and AI is rapidly accelerating that pace across the entire company
In this era, the most important attribute is learning fast, constantly reimagining how things can be built using the new tools, and staying scrappy (we’re even willing to rack NVIDIA GPUs in the office if it can help unlock more experiments for our eng team!).
Big shoutout to @santacruzseana for helping bring this story to life.
Link: https://t.co/XE72lY30Ur
You’re one of the most hard charging and inspiring leaders I’ve ever known @fidjissimo. And you’ve done so much of your great work while dealing with health obstacles. Someday these chronic health conditions will be a thing of the past, and I bet your work at OpenAI and ChronicleBio would have played a hand in accelerating that future. Hope you feel better soon.
Today @Tubi was recognized by Fast Company as the #1 Most Innovative Video Company and #15 Most Innovative Company overall in 2026!
This recognition is for reimagining free, fan-focused TV.
The path here reflects how we build at Tubi. Every decision starts with our fans - how we serve them better, and how we do it in a free model powered by technology. That has been our mission since day one. We were the first to bring truly free TV to connected devices, building ad-supported experiences and unlocking content from studios and library owners. Today, we’re pushing that further helping creators break into Hollywood.
Behind it all is a lean team of 700 people taking big swings every day rapidly testing, learning, and shipping, with nearly 2,000 experiments and launches a year.
We’re entering a moment where everything in the world is rapidly accelerating due to AI, and where millions more people will become creators and storytellers. We’re building for this moment.
Very proud of this team and company. Let’s go! 🔥
@Tubi has deep roots at UC Berkeley. @farhadm (Tubi’s founder) and I were CS lab partners at Berkeley. During college, he pitched me a new idea almost every week - until a few years after graduation he turned one of them into Tubi.
I’ve always been blown away by the technical and product talent that Berkeley produces, so it was great to be back on campus along with @MikeTamir, Max Dorofiyenko, Angela Feng and Victoria Cheng to share Tubi’s story.
Early career builders have a huge advantage: a fresh mindset. And with the AI revolution, they now have a chance to learn and build faster than any generation before them. That belief is the thesis behind our Tubi Builders Program. We launched our second cohort a week ago and have already received 10,000+ applications.
Tubi Builders has five tracks:
1) Associate Product Manager
2) Associate Software Engineer
3) Associate Machine Learning Engineer
4) Associate Designer
5) Associate Data Scientist
Builders are full-time, competitively paid members of our San Francisco tech org, shipping real products across our entire stack, with built-in mentorship.
Applications are open until Feb 15. Learn more and apply here: https://t.co/q2tVvVpcCV
Huge thanks to Professor @NargesNorouzi, Robbie Powers and Rebecca Ricksen for hosting us. Berkeley’s CS/EECS/DS students are lucky to have you. And thanks to Isabella Kira for the photos 🙏
We just launched our second class of "Tubi Builders Program" 🔥
This program is our bet on the next generation of tech leaders at @Tubi . We’ve been blown away by what our first cohort of 18 Tubi Builders shipped over the past few months, so we’re quickly doubling down.
Our thesis is clear: the best tech companies are built by curious, hungry individuals who learn fast, push hard, and rapidly ship. We’re at a rare inflection point in the industry where newcomers can be trained to be AI-native from day one and start on a much more productive trajectory than ever before. For a company powered by experimentation (we ran ~750 experiments in the Tech org in the last half alone), this model fits perfectly.
We’re hiring across five tracks:
1. Associate Product Manager
2. Associate Software Engineer
3. Associate Machine Learning Engineer
4. Associate Designer (New)
5. Associate Data Scientist (New)
Builders are full-time, competitively paid members of our San Francisco tech org, shipping real products across our entire stack and business, with mentorship built in.
If this sounds like you (or someone you know), apply and spread the word. We’ll also be hosting info sessions with Tubi leaders and our current Builders cohort .
👉 Apply here: https://t.co/uh5AELY0tG. Applications close on Feb 15th. Program begins Aug 2026.
Videos and photos coming out of Iran are absolutely horrific. Estimates are that 2000 innocent people were killed just *yesterday*. The US and the world need to do everything we can to help the people of Iran *right now*
I’ve been doing an ad hoc version of this for my 5 and 8 year old using a regular Robinhood account we have. Ever since we started this experiment with the kids, they have saved/invested most of their earned/gifted money into their Robinhood account (where my wife and I match their contribution). Most surprising to me has been how they’ve learned about investing and how much they’ve shifted from spending money on toys to investing. I think @RobinhoodApp would be an incredible company to build this and I hope @vladtenev and the team there pursue this.
One of the many examples of our continued work of methodically making @Tubi the most effortless entertainment platform out there.
Rollout of Matter Casting on Fire TV - which allows you to cast Tubi content from your device to any Fire TV without the need to go through a lengthy install and sign in process on your tv.
https://t.co/JtbZXGMF15