He once took a less senior job to escape management. After leading engineering at Instagram, James Everingham is building Guild.ai around a question that has followed him for decades: how do you help good work happen?
Three billion people came for a simpler way to talk. The business built around their conversations is getting considerably more complicated.

Before her work at Meta, Darcy Palder reported on politics, helped defend a bus route and studied in a city in revolt. Her own writing keeps returning to a deceptively difficult question: who gets to speak for whom?

Before she spoke for Mark Zuckerberg, Iska Saric captained a rowing team and explained Google hardware. Her career offers a close look at the work behind a very public voice.

He helped put customer support on the internet, sold companies to Salesforce and Meta, and kept coming back. For Kustomer co-founder Brad Birnbaum, the next chapter begins with a familiar question: does the business remember who is asking?
A college directory became a company that shapes how billions of people meet. Now Mark Zuckerberg wants to build the intelligence beside them - carrying an old argument about connection into a much more personal space.

A campaign veteran helped turn the war room into Zignal Labs. His journey from presidential politics to Meta follows a stubborn question: what should you do when the world starts talking?
A few stickers helped Bo Li expose a weakness in machine vision. Her work has since moved from road signs to language models, a startup, and the question of who controls an AI agent with permission to act.

Before leading The Brief, May Haim Kotlarsky co-founded an app for printable greeting cards. Her route through streaming, developer privacy, and monetization AI brings a maker’s history to the CEO’s desk.
A business born around movie clips now helps advertisers judge the company their ads keep. Its wager: understanding one video is more useful than fearing an entire channel.
Instagram could get people through the door. Keeping them there required a different guest list - and a lesson in the unglamorous business of building a habit.

He and a middle-school friend built a GPU company, turned it into an AI coding assistant, then made the editor itself their product. In 2025, the next turn took Douglas Chen to Google DeepMind.

He wrote a TypeScript book, helped reshape Facebook Groups, and moved to Japan for a relationship. Then a small experiment in Anthropic’s terminal became Claude Code - and gave him a new question: what should engineers do when writing code is no longer the slow part?
Before he worked on the machinery behind generative AI, Dmytro Dzhulgakov was a Kharkiv student who wrote code for an Intel 8080 and competed against the world’s fastest programmers. At Fireworks AI, the contest has changed, but the clock still matters.

Inside Meta, rising demand for machine learning compute made the future feel less like a prediction than a capacity meeting. Chen left to co-found Fireworks AI in 2022; now his argument is that useful AI must be affordable to run and specific to the job.

A circuit-design class sent a Honolulu student toward supercomputing. Two decades later, the systems engineer behind Facebook data infrastructure and Diem is running Aptos Labs - and arguing that the next useful blockchain will look less like a coin and more like a market.

Before Pika, Louis Lee recruited across Meta, Google and TikTok. His career makes a quiet case that the people who build the future are often found by someone who remembers what opportunity can change.

After two decades building platforms at Microsoft, Meta, and Brex, Karandeep Anand has a new product brief: make AI entertainment feel less like a prompt box and more like a world people can enter.

After two crypto startups were undone by forces outside the code, Cody Swain returned to a friendship, a workshop habit and a stubborn question: can robots learn what customers actually mean by “done right”?

After Onavo and nearly nine years inside Meta, Roi Tiger has returned to startup life with Glow - and a prevention-first bet on the unruly machines where people actually work.
One company handed the world's most-used live chat to everyone for free and never raised a dollar. The other sold to Meta for a billion, got written down 75%, and had to start over as a standalone.
Steve Arnold is the CEO of E-Line Media, the video game developer and publisher behind the BAFTA- and Peabody-winning Never Alone (Kisima Ingitchuna), Beyond Blue, and the upcoming Never Alone 2 and Neighborhoods. He has been making games professionally since 2003, starting at Electronic Arts, where he rose from production intern on the Tiger Woods PGA Tour series to Executive Producer working across EA Partners and the Origin store, with credits on Rock Band, The Beatles: Rock Band and Alice: Madness Returns. In May 2014 he joined Oculus, becoming Head of Oculus Studios in June 2016 and running the company's first-party and partner content slate through November 2019, a period covering Lone Echo, Robo Recall, The Climb, Chronos and Journey of the Gods, with partnerships spanning Epic, Insomniac, Ubisoft, Marvel and Lucasfilm. He then founded his own studio, Imagination Games, and ToyChest.AI, an early-stage venture using computer vision to let ordinary physical toys unlock content in games without special hardware. At E-Line he now leads a studio whose work sits in the permanent collection of the Museum of Modern Art and has reached more than 25 million players.

This documentary-style video traces how artificial intelligence went from a cheap labor-replacing miracle to a runaway cost center. After ChatGPT's 2022 launch, companies raced to adopt AI and cut tens of thousands of jobs across tech and fast food. But forced internal adoption, token-based performance metrics, and a status-driven culture of 'token maxing' inflated demand far beyond real need. Combined with data-center component shortages and canceled construction projects, token prices more than doubled between late 2025 and mid-2026. Giants like Microsoft, Meta, Uber and Nvidia are now confronting AI bills that rival or exceed the human labor they replaced, and with Anthropic and OpenAI expected to go public and raise prices, enterprises are being forced into an unprecedented choice: tokens or humans.
May Haim Kotlarsky is CEO, General Counsel and Board Director at The Brief (formerly Creatopy), a Romania-and-California based AI marketing platform. A lawyer by training with an LLB from Hebrew University and an LLM from Georgetown Law, she spent years leading privacy and monetization AI legal work at Meta, GitHub, and Rakuten Viki before moving into the operator seat at The Brief in July 2025.
Tullie Murrell is the CEO and co-founder of Shaped, a New York startup building a real-time retrieval engine for search, feeds, and agents. Before Shaped, Murrell spent about five years at Facebook AI Research, where he created PyTorchVideo, the leading open-source library for video understanding, and was an early core contributor to PyTorch Lightning, a training framework now used by millions of developers. The video models he led powered Facebook newsfeed ranking and Instagram Reels. In 2021 he left big-tech research to package that same personalization machinery into a self-serve product for companies without armies of ML engineers. Shaped went through Y Combinator's W22 batch and raised an $8M Series A led by Madrona Ventures in July 2024.

William Sun is the co-founder and CEO of Auctor, a New York AI company building the 'system of action' for enterprise software implementation. He dropped out of Johns Hopkins - where he studied biomedical engineering and computer science - and left a job at Meta to start the company, which he built with three co-founders drawn from Google, AWS, Apple, ServiceNow and NASA. In April 2026 Auctor emerged from stealth with a $20M Series A led by Sequoia Capital, with backers including Microsoft's M12, HubSpot Ventures, Workday Ventures, OneStream, Tercera and Y Combinator. Auctor's AI agents capture discovery calls and workshops, turn them into structured requirements, and generate the artifacts - SOWs, proposals, architecture docs, user stories - that consultants used to hand-build over weeks.

Brittainy Lovett is a Meta operator who works inside the Office of the CEO, one of the highest-trust seats in a 77,000-person company. A Northwestern-trained mechanical engineer who started in consulting at Deloitte, she has built a career on privacy critical incident response - the unglamorous, high-stakes work of keeping user data safe when something goes wrong. Based in New York, she is the kind of behind-the-scenes operator who makes very large machines run quietly.

Diya Mathew is a Senior Manager for Customer Engagement Strategy in the Office of the President & COO at ServiceNow, the enterprise cloud platform company valued at over $100 billion. A graduate of Duke University's Fuqua School of Business and NIT Tiruchirappalli, she brings a rare blend of technical depth and strategic acumen forged across Cisco, Deloitte Consulting, Meta, and now ServiceNow. Based in San Francisco, she works at the intersection of executive strategy, customer engagement, and enterprise operations.
Vatsal Bhardwaj is the founder and CEO of Jabali.ai, a Los Altos startup building a no-code, generative-AI game engine that lets anyone create and publish video games from text prompts. A 20-year product and engineering executive, he helped build the Oculus App Store at Meta (which generated $1.5B+ in cumulative revenue), led AWS Game Tech, ran Studios at Storm8, and served as Chief Product Officer at Skillz. In 2024 Jabali raised a $5M seed round led by BITKRAFT Ventures with Sapphire Ventures and Sony Innovation Fund.
Josh Butler is the founder and CEO of CompScience, a San Francisco AI company that turns ordinary workplace cameras into a real-time safety system. He was building perception software for self-driving cars when a family member was badly hurt on a construction site, and he redirected that same computer-vision technology toward stopping workplace injuries. Today CompScience detects more than 50 behavioral and environmental hazards on camera, bundles the analytics into a workers' compensation insurance product, and counts hundreds of enterprise customers across construction, manufacturing, warehousing and food service.