Jackson Wang
San Francisco Bay Area
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About
Specialties include:
Business Analytics, Growth + Product Analytics, Strategy…
Activity
3K followers
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Jackson Wang reposted thisJackson Wang reposted thisWe’re sharing a look inside OpenAI’s in-house AI data agent. It helps employees go from question to insight in minutes, not days. By reasoning directly over our internal data, code, and institutional context, the agent reduces time spent hunting for tables or debugging queries and lets people focus on decisions. Teams across Engineering, Data Science, Finance, Go-To-Market, Research, and more use it to explore data, run analyses, and validate results through natural language. It’s powered by the same OpenAI tools developers use today, including Codex, GPT-5, the Evals API, and the Embeddings API, applied to our own platform at scale. Learn more at the link in the comments below.
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Jackson Wang reposted this🚀Jackson Wang reposted this3M people are now using Codex every week, up from 2M just last month. That pace of growth says something important: software creation is changing fast. Codex is helping developers move faster, but it’s also making it possible for many more people to build. Agents are no longer just writing snippets of code. They’re taking on real work, handling longer-running tasks, and giving builders more leverage from idea to implementation. To celebrate this milestone, we’re resetting Codex rate limits today so builders can keep building. And we’ll do it again for every additional 1M weekly users until we reach 10M. This is one of the advantages of OpenAI’s long-term investment in compute: we can be more generous with builders, and pass that capacity on to the people creating with our tools. Huge kudos to Thibault Sottiaux and the incredible Codex team at OpenAI. Let’s go build!
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Jackson Wang reposted thisJackson Wang reposted thisHi LI fam - it's been a minute :) I wanted to pop in here to share that I have the privilege of leading Data Science hiring at OpenAI, and we’re hiring across Ads, B2B, Growth, FinEng, Codex, GTM, Infra + Scaling, StratFin, Marketing, ML Analytics/Model Measurement, Integrity, Safety Systems, Preparedness, User Ops, Consumer Product, and ChatGPT (+ more). We’re at a moment where AI is moving from experimentation to real‑world infrastructure, and OpenAI is scaling quickly across many critical areas. Data science plays a uniquely central role in that - helping determine what gets built, how systems are evaluated, and ultimately what “good” looks like for products and systems used by millions of people. We’re looking for exceptional data scientists - both Super ICs and leaders- those who thrive in ambiguity, can turn messy signals into structure, and want to build in frontier, zero‑to‑one product areas. These are high‑impact roles for builders who enjoy tackling hard problems in fast‑moving, often undefined environments. If this sounds like you, or someone you know, please send me an email at katg@openai.com Please use a subject line like “Data at OpenAI [Growth]” so I can route your candidacy to the best member of my team dedicated to that area. Friendly heads up that I’m focused exclusively on Data hiring at this time. Thank you!
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Jackson Wang shared this2 weeks in, and the energy is real! It was so much fun getting to participate in the Finance hackathon and build along side a world class team!Jackson Wang shared thisThere are moments when you can feel a team shift gears. ⚙️ This week, we hosted one of our regular hackathons across the Finance group at OpenAI. Over 200 teammates learning, experimenting, and building with Codex. The energy was real, but what mattered more was the speed to outcomes. This wasn’t theoretical. Within hours, teams were deploying agentic workflows directly into their day-to-day work: ➡️ Turning complex audit workflows into structured, trackable outputs and presentation-ready materials in minutes. ➡️ Ingesting entire M&A data rooms with diligence agents and producing exec-ready summaries ➡️ Converting vendor contracts, proposals, and invoices into clean SOWs using Codex The shift is this: we’re moving from tools that assist, to agents that execute. From static workflows, to systems that reason, iterate, and deliver outputs end-to-end. What’s most exciting to me is where this is going. As we build the finance team of the future, agents won’t sit on the side, they’ll sit in the org chart. And every team member will be accountable for managing them, just as they would any other resource. We’re also just getting started. The use cases are compounding quickly, and the velocity is only increasing. From where I sit as CFO, the unlock here is not incremental productivity, it’s a step change in how work gets done across every function of a business. So wherever you are on your AI journey, just start building. When you put these tools in a team’s hands, the work naturally shifts toward the most complex and highest-leverage problems, and iteration speed changes everything. Thank you to this team for leaning in and helping shape what the future of finance can look like. #YouCanJustBuildThings
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Jackson Wang shared thisAfter 9+ years, it’s time for me to finally check out of 888 Brannan and say goodbye to Airbnb. What started with the Tilt acquisition became one of the most meaningful chapters of my career. Airbnb is where I grew up professionally — through hypergrowth, COVID years, an IPO, and countless major launches — surrounded by exceptional people who challenged me, supported me, and helped shape me as a leader. Over the years, I had the privilege of being part of a world-class data team that helped build a product that's loved and used by countless people around the world. More than anything, I’m grateful for the people — my team, my managers, my partners, and the leadership team — who made this journey so meaningful. We also had a ton of fun along the way (see pics). Thank you, Airbnb. I’ll always be proud of this chapter and grateful for the people who made it so special. I’ll be starting my next adventure soon, but now it’s time for some R&R with the family. Special shoutout to my managers and mentors who have really guided my journey at Airbnb: my entire forecasting, CSI and AA/DS teams (too many to name, you know who you are!),Ellie Mertz,Adam Liss,Teodora Gouneva,Paul S,Dominique Ng, Bar Ifrach, Krishna Rao, Nicholas Roth, Peter Coles,Laura Hafferty,Claire Ucovich, MA, BA, Executive Coach, Advisor,Ricardo Bion, Ali Rauh,Jeffrey Wong, David Countryman, Dave Stephenson,Kala Ramaswamy, Judson Coplan, Drew Branden,Clara Liang, Paolo Massimi, Amber Masud, Brian Weller, Markus Schmaus,Kai Brusch, Eric (Dong Ha) Lee, Harrison Katz, Angela Yang, Yvonne Xiao... too many more to name!
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Jackson Wang reposted thisI'm Hiring! We're looking for someone with a strong Product Data Science background to join our team. The Host Pricing world is very complex, with lots of room to grow and make a difference to Airbnb's strategy. If you're interested, please apply via the link below. I also have a Senior-level role opening soon.Jackson Wang reposted thisAirbnb’s Product Advanced Analytics team is looking for a Staff-Level Individual Contributor to join Leanne Bradley and the Host Pricing team. This role involves close collaboration with senior product managers in the intricate area of pricing system design and marketplace affordability. This individual will act as a senior thought partner, supporting strategic decisions and product initiatives through detailed data analysis, experimentation, statistical modeling, and the development of reporting tools and metrics. If this aligns with your expertise, we encourage you to apply! #hiring #airbnb https://lnkd.in/gdWmVQqEStaff, Advanced Analytics, Product - Careers at AirbnbStaff, Advanced Analytics, Product - Careers at Airbnb
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Jackson Wang reposted thisJackson Wang reposted thisI'm #hiring a Lead, Advanced Analytics to help build our guest experience. It's a great team with high impact! https://lnkd.in/dNrMeV_sLead, Advanced Analytics, Product - Careers at AirbnbLead, Advanced Analytics, Product - Careers at Airbnb
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Jackson Wang shared thisI've got a great role open on my team!Jackson Wang shared thisAirbnb continues to champion one of the most flexible work policies in the world. Work from an office or your home. Live anywhere in the US and get paid the same no matter what state you're in. I love what I do everyday and am surrounded by colleagues who are immensely talented, kind, and committed to our shared purpose. So, come join us on Airbnb's Central Strategy & Insights team! Know anyone who might be interested? Apply below:
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Jackson Wang liked thisJackson Wang liked thisFor years at Airwallex, we've split data science into two job families: analytics and algorithm. Now AI is forcing the next reshape. Here's what I'm thinking about: DS analytics becomes systems of decision. DS algorithm becomes systems of action. The deliverable shifts from "I answered the question" to "I built the thing that answers it correctly forever." What stays: scale, science, rigor, judgment. What's new: production code, governed artifacts, eval pipelines, the harness around the model. Full breakdown in the article.
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Jackson Wang liked thisJackson Wang liked thisTough day for the Coinbase community. Layoffs are never easy, especially given the quality of the team. We’re hiring at Flex across multiple teams, including data. Check out open roles: https://lnkd.in/e49nQ8Sx If you’re affected, feel free to DM me, even if it’s just to talk through what’s next. Sending support to everyone impacted 💙
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Jackson Wang liked thisJackson Wang liked thisChatGPT is now available as an add-on in Excel and Google Sheets. Ask ChatGPT to analyze, update, and explain your spreadsheets directly in Excel and Google Sheets. Powered by GPT-5.5, the ChatGPT add-in brings deeper intelligence to complex spreadsheet work, helping teams save hours on forecasts, KPI packs, reconciliations, and reports so they can spend more time on analysis and decisions. Get started: https://lnkd.in/dAvydqUB
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Jackson Wang liked thisJackson Wang liked thisMost days my mind is blown. Being impressed feels very 2022. Q1 reinforced what we are seeing across the business every day: AI demand is compounding at extraordinary scale. We hit our aggressive plan, saw strength across every major part of the business, and entered Q2 with enough momentum to raise our revenue expectations for the rest of the year. One week in, GPT-5.5 is already our strongest model launch yet. API revenue ramped more than 2x faster than any prior release. Not because the model is louder on benchmarks (although it is), but because it is more useful. GPT-5.5 thinks more clearly, deploys more easily, and delivers more value with fewer tokens. You can see that in customer behavior almost immediately. Businesses are deploying agents with less prompting and less supervision. Developers are moving from idea to production-ready code dramatically faster with Codex. Codex revenue doubled in under seven days, a strong signal that demand for agentic coding tools is accelerating fast. Consumer adoption continues to surprise us too. ChatGPT Images 2.0 drove image usage up more than 50% in just a few weeks, with nearly 60% of daily users coming from newly logged-in users. People are not experimenting anymore. These tools are becoming part of daily life, work, and creativity. Meeting this moment requires more than great models. It requires infrastructure at a scale the world has never built before. When we announced Stargate in late 2025, we committed to securing 10GW of AI infrastructure in the United States by 2029. We have already surpassed that milestone, including more than 3GW added in the last 90 days alone. But infrastructure is not just about GPUs and power curves. The infrastructure of the Intelligence Age has to create durable value in the real world: jobs, workforce development, responsible energy planning, and long-term investment in the communities helping power this transformation. That is what we are building in places like Abilene. The pace of AI progress will continue to surprise people. What matters now is whether we can scale it responsibly, economically, and broadly enough that the benefits are global. We intend to do exactly that. https://lnkd.in/g8auvDkMBuilding the compute infrastructure for the Intelligence AgeBuilding the compute infrastructure for the Intelligence Age
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Jackson Wang reacted on thisJackson Wang reacted on thisIn January, I joined OpenAI (this post is long overdue). After a great two years at a16z building data platforms and AI agents, I decided to return to the operating side. AI can massively amplify the influence of data practitioners, and we're at the inflection point in AI model quality and its impact on data science. The hard work now is in designing the systems, workflows, and operating models that make data & intelligence easier to access and trust, for everyone in a company. That is the opportunity I came to OpenAI to work on, and I'm excited for what's ahead.
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Jackson Wang reacted on thisJackson Wang reacted on thisA decade of forecasting and projections. This one is the most exciting: Chapter Future. Let’s start building it. OpenAI
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Jackson Wang liked thisJackson Wang liked thisGumloop has completely changed how I run sales. I've built sales motions from 0-to-1 at Airtable, Recurrency, and now Gumloop. The job is the same. How I do it is unrecognizable. 95% of my week now lives inside Gumloop. A few things my team and I have built in the last month: 1) An agent that grades every outbound message against our brand and prospecting playbook before it goes out. 2) An agent that detects when a customer call ends, creates the SFDC opp, populates it, drafts the follow-up and drops it in the AE's inbox. And these went from concept to production in less than 30 minutes. No code, no workflow builders. Just riffing with the Gumloop chat. And each one of these learns and gets better each week. Watch the video below to see the future of AI-native sales.
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Jackson Wang liked thisJackson Wang liked thisVery interesting announcement from OpenAI this morning. We’re excited to make OpenAI's models available directly to customers on Bedrock in the coming weeks, alongside the upcoming Stateful Runtime Environment. With this, builders will have even more choice to pick the right model for the right job. More details at our AWS event in San Francisco tomorrow.
Experience
Education
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Cornell University
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Activities and Societies: Varsity Swim Team, Sigma Phi Society, Phi Gamma Nu Business fraternity
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Languages
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French
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Mandarin
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Aaron Terrazas
[at]economics • 6K followers
Revelio Labs launched a new labor market metric today -- a Workforce Confidence Pulse. In a newsletter announcing it, they write that the only alternative measure of employee confidence is Glassdoor's Employee Confidence Index and pointed to some of its limitations. It's worth looking closely at the inputs to the Revelio Labs metric -- measures like CEO and senior leadership approval, employee beliefs about internal advancement opportunities, and whether the employee would recommend the company to a friend. Anyone steeped in labor market and people analytics data will recognize these inputs as the core company ratings categories that Glassdoor has collected over the course of nearly two decades. It is abundantly clear to me that Revelio's new confidence metric is -- perhaps entirely -- derived from data collected by Glassdoor, with no acknowledgement of the source. While it is perfectly legal to scrape such public data, this kind of data rebranding without source attribution raises thorny questions about public goods in the data economy. (I'm obviously not a lawyer, but this is my understanding having worked in the data sharing space for the past decade and a half.) Perhaps imitation is the greatest form of flattery, and public exchange about improving technical methods is core to scientific advancement. Open data with attribution benefits society at large by scaling opportunities for insight. But when there is every incentive to repackage data collected by others with no obligation to attribute its source, we devalue the essential work of data creation. Many become data re-branders, and few become data creators -- a world of DJs with vanishingly few musicians. (In full disclosure, during my time at Glassdoor I worked with my team to develop the original version of Glassdoor's workforce confidence metric.) https://lnkd.in/ghn-7BeN
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Jagannath Putrevu
Champ AI • 4K followers
We’re cooking some cool stuff and building next-gen agentic UX interfaces that blend human & AI collaboration and handovers. Check out Ted’s post for more details on what we’re looking for! We’re also working with some great customers in industries such as payroll & hr, healthcare marketplaces, delivery services, and logistics, helping them automate some of their most complex manual processes!
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Shishir Kumar Prasad
Instacart • 3K followers
🚀 At Instacart, we just launched PIXEL — our in-house generative AI platform for product imagery. From DreamBooth fine-tuning to automated quality review with VLMs, PIXEL helps teams generate high-quality food images 10x faster — boosting conversions and reducing manual effort. Proud of the cross-functional AI work here! #GenerativeAI #ComputerVision #Instacart #ML
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Jeremiah Owyang
Blitzscaling Ventures • 39K followers
Why does the SF Bay dominate the tech landscape? There's a network effect, like a gravity well that creates compounding benefits from those that are within the region. Here's one of my slides from my TEDAI San Francisco speech on why community and culture play a key role in the AI ecosystem development in our region.
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Israel Niezen
Factored • 9K followers
Now that big tech companies are laying off tens of thousands of employees, which is sadly nothing to celebrate, the silver lining is that more talented young people will once again look to start or join earlier-stage startups. California and the world will benefit far more from fresh entrepreneurial energy and less “ex-Google, ex-Apple” employee energy that had taken over the past decade or so. We need more entrepreneurial mindset and less big-tech employee mindset. Gone are the “a day in the life at big company XYZ” Tik Tok videos and people will need to learn to build something again. Building is much harder than being an overly paid big-tech employee with a cushy non-impactful role, but it’s much more rewarding and a much better learning ground. If you are young, and really want to learn and grow, join a great startup or scaleup. Best advice I ever got when I was in my twenties.
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Lakshmi Shankar
Together • 3K followers
Thrilled to announce that Together Fund is investing in Sentra, alongside a16z speedrun! You track results in Jira. Decisions in Notion. Conversations in Slack. But the reasoning, the debates, trade-offs, and context behind why you chose A over B, disappears into what we call "Dark Matter." A decision made in March looks insane by July because no one remembers the constraints that made it smart. I lived this firsthand at Twitter scaling from 800 to 8,000 employees, and at Google while launching AI Overviews to billions at planet scale. The problem isn't process. Process is compensation for something deeper: organizational amnesia. An organization’s "Systems of Record" doesn’t solve this, they encode it. They store what happened, never why. That's why we are investing in Sentra. Sentra is the always-on collective memory that eliminates organizational amnesia by maintaining accurate context for all members and agents, functioning as an operational nervous system. It connects to every channel where work happens, meetings, Slack, email, code commits, docs, calendars, and treats them not as artifacts to search, but as living signals to synthesize. The fleeting and the permanent, unified into a memory that understands. The founding team is built for this: - Jae Gwan Park (CEO): Product-first founder, memory systems research at UofT and MIT - Ashwin Gopinath (CSO): Former MIT professor, created "Reflexion" (NeurIPS 2023), agents that learn from mistakes, 2x founder - Andrey Starenky (CTO): Early Vapi engineer, ex-IBM, built to process enterprise-scale data firehose Together is an operator-led fund. We invest in problems we've lived. This is one of them. Many congrats Jae, Ashwin and Andrey, we are so excited to partner with you! Read the full thesis: https://lnkd.in/gixj9cE4 Book a demo: https://www.sentra.app/ #OrganizationalMemory #AI #Sentra #TogetherFund #a16z #ContextGraphs
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Gustaf Alströmer 🇺🇦
Y Combinator • 46K followers
Ribbit Capital is leading the Series A for @SafetyKit. Few people in the world are better than David Graunke and Steven Guichard to replace manual risk reviews and trust & safety with AI models. They saw where the world was going in 2023 and already have huge customers relying on them. 🕵♀️
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