Exceptional 100

Exceptional 100

2026

2026

Section 01

Exceptional 100 / 2026

Introduction

Section 01

Introduction

Welcome to the third edition of the Exceptional 100.

Three years in, the Exceptional 100 is no longer just a list. It's a community of 300 engineers, researchers, and product builders doing exceptional work across the ecosystem. 

When we started, our thesis was simple: the best way to find tomorrow's great leaders is to know today's exceptional builders, wherever they are in their careers. Rather than focusing on titles or hierarchies, we study the people architecting high-impact infrastructure and solving the hardest problems inside the fastest-growing companies.

A few years in, we have proof of concept. We have invested in three founders from prior cohorts, people we first recognized as exceptional builders long before they started their companies. Each new list adds to a network that compounds in value: alumni introduce peers, and earlier cohorts become founders, operators, and advisors.

This report is both a celebration of the 2026 list and a look at how the community has evolved. For the first time, we can compare a new cohort against the 2024 + 2025 lists, examining career movement and more. To everyone who has made it to the Exceptional 100, past and present: we want to be in your corner at every stage of your career. If you are deep in a technical role, weighing your next move, or ready to build something of your own - reach out. Our mission is to support the ambitions of exceptional people by providing capital, confidence, and credibility for the journey. Whether as a conduit, champion, or first institutional check, we are here for you.

This year, we are unveiling an Exceptional 100 World map, providing current detail on all Exceptional 100 cohort members. Our full analysis on 2026 findings and comparatives across all cohorts follows the map.

Three years in, the Exceptional 100 is no longer just a list. It’s a community of 300 engineers, researchers, and product builders doing exceptional work across the ecosystem. 


When we started, our thesis was simple: the best way to find tomorrow’s great leaders is to know today’s exceptional builders, wherever they are in their careers. Rather than focusing on titles or hierarchies, we study the people architecting high-impact infrastructure and solving the hardest problems inside the fastest-growing companies.

Section 02

Exceptional 100 / 2026

Findings

Section 02

Findings

The following analyses are intended to examine commonalities, patterns, outliers, and observations drawn from the 2026 Exceptional 100 and in some cases, where indicated, compared to our findings from prior cohorts.

The following analyses are intended to examine commonalities, patterns, outliers, and observations drawn from the 2026 Exceptional 100 and in some cases, where indicated, compared to our findings from prior cohorts.

Geographic Scope

Regarding geographic location, our assumption carried over from prior years that the highest concentration would be present in the Bay Area, which was validated. In 2025 we had 15 cohort members who were located internationally, this year the number fell to 6.

Regarding geographic location, our assumption carried over from prior years that the highest concentration would be present in the Bay Area, which was validated. In 2025 we had 15 cohort members who were located internationally, this year the number fell to 6.

Educational Institutions

Stanford remains the most prevalent school on the list. 24 members of the 2026 cohort studied there, its highest count yet (up from 21 in 2024 and 20 in 2025). The University of Waterloo is the notable newcomer, tying MIT and Harvard with 7 people and appearing among the top schools for the first time.

Stanford’s dominance continues. 24 members of the 2026 list studied there, up from 21 in 2024, more than the next three schools combined. The notable riser is the University of Waterloo, which ties MIT with 7 people and enters the top five for the first time.

Programming Languages

Python has become the defining language of the Exceptional 100, pulling well ahead of Java, which was level with it just two years ago. Meanwhile, the fastest-growing languages are Go and C++, the building blocks of cloud infrastructure and high-performance systems, a sign that this list is increasingly made up of the people building the foundational elements of AI.

Python has become the defining language of the Exceptional 100, pulling well ahead of Java, which was level with it just two years ago. Meanwhile, the fastest-growing languages are Go and C++, the building blocks of cloud infrastructure and high-performance systems, a sign that this list is increasingly made up of the people building the foundational elements of AI.

Career Data + Characteristics

Roles + Titles

The largest representation is still software engineers consistent with prior years. The number of research stayed consistent with last year at 14. In our first two editions, Member of Technical Staff was not a common title, this has now shifted to become highly normative alongside SWE and ML Engineer. Product titles have decreased in this cohort and no specific design titles; Member of Technical Staff may be inclusive of roles that were previously product specific.

The largest representation is still software engineers consistent with prior years. The number of research stayed consistent with last year at 14. In our first two editions, Member of Technical Staff was not a common title, this has now shifted to become highly normative alongside SWE and ML Engineer. Product titles have decreased in this cohort and no specific design titles; Member of Technical Staff may be inclusive of roles that were previously product specific.

Gender

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Women

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Men

made the 2026 Exceptional 100 List

made the 2026 Exceptional 100 List

The gender gap is generally reflective of industry standard. While this is not ideal in terms of equality in representation, we hope that by continuing to surface great talent from beyond the management level, we can do our part to provide greater visibility to future diverse leadership within tech.

The gender gap is generally reflective of industry standard. While this is not ideal in terms of equality in representation, we hope that by continuing to surface great talent from beyond the management level, we can do our part to provide greater visibility to future diverse leadership within tech.

The gender gap is generally reflective of industry standard. While this is not ideal in terms of equality in representation, we hope that by continuing to surface great talent from beyond the management level, we can do our part to provide greater visibility to future diverse leadership within tech.

Career DNA Analysis

Career DNA Analysis

Each line traces one member of the 2026 cohort from their first role to the time of publication in 2026. Colors denote types of roles.

Each line traces one member of the 2026 cohort from their first role to the time of publication in 2026. Colors denote types of roles.

Each line traces one member of the 2026 cohort from their first role to the time of publication in 2026. Colors denote types of roles.

Collegiate Level

Collegiate Level

*To note: this reflects % of highest attained level of education within the cohort. 51% of the 2024 list and 62% of the 2025 list held graduate degrees.

*To note: this reflects % of highest attained level of education within the cohort. 51% of the 2024 list and 62% of the 2025 list held graduate degrees.

Interests + Experience

Interests + Experience

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were involved in collegiate or competitive athletics 

were involved in collegiate or competitive athletics 

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are active contributors or maintainers of prominent open-source projects + communities

are active contributors or maintainers of prominent open-source projects + communities

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had roles as TA’s or performed research specific roles while in school (both grad + undergrad)

had roles as TA’s or performed research specific roles while in school (both grad + undergrad)

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are published authors, writers, or have published extensive academic research

are published authors, writers, or have published extensive academic research

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were previously founders or founding team members at some point before their current role

were previously founders or founding team members at some point before their current role

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consistently maintain personal blogs or websites

consistently maintain personal blogs or websites

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0

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have art backgrounds and/or a history of artistic practice

have art backgrounds and/or a history of artistic practice

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are or were musicians or vocalists, independently or as part of a group

are or were musicians or vocalists, independently or as part of a group

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have a history of direct involvement with competitive gaming, gaming communities or game development

have a history of direct involvement with competitive gaming, gaming communities or game development

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people have a history of participating in math clubs and competitions domestic + globally

people have a history of participating in math clubs and competitions domestic + globally

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people have a history of participating in debate, Model UN or other similar clubs

people have a history of participating in debate, Model UN or other similar clubs

Career Movements Across Funding Stages + Sectors

Each ribbon is a career move between companies, grouped by funding stage or sector. Select a category to see where people went next and where they came from. The strongest current: talent flowing out of public companies and into late-stage startups.

Each ribbon is a career move between companies, grouped by funding stage or sector. Select a category to see where people went next and where they came from. The strongest current: talent flowing out of public companies and into late-stage startups.

Venture Ecosystem

Venture Ecosystem

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people have been associated with VC firms, programs, or accelerators

people have been associated with VC firms, programs, or accelerators

Talent Concentration

We analyzed the frequency of current employers across the 2026 Exceptional 100 list, as depicted below in the bubble chart. As with prior years, the visual shows a trending combination of company age and funding, highlighting the relevancy and frequency of each with regard to this year's list.

The center of gravity has moved younger again. Companies founded in 2010 or later employ 87% of the list, 68% work at a company founded in 2020 or later, and nearly half (47%) at one founded in 2023 or later. Every Series A through Series C company on the list was founded in 2020 or later, and the early- and growth-stage cluster is almost entirely AI-native. Public companies account for fewer than one in ten members of the list, and four trading firms (Citadel Securities, Jane Street, Hudson River Trading, and Jump Trading) sit in the unfunded row.

We analyzed the frequency of current employers across the 2026 Exceptional 100 list, as depicted below in the bubble chart. As with prior years, the visual shows a trending combination of company age and funding, highlighting the relevancy and frequency of each with regard to this year's list.

Read More

Read More

2026 Cohort

2024–2026 Overlay

2026 Cohort

2024–2026 Overlay

Talent Trajectories

We use trajectory as referential to the directionality of work history, and in three years there have interesting patterns in our cohort data samples. Continuing to track and understand career paths has proven a valuable data point in developing hypotheses around future talent concentrations and a deeper comprehension of community expiration theory.

We use trajectory as referential to the directionality of work history, and in three years there have interesting patterns in our cohort data samples. Continuing to track and understand career paths has proven a valuable data point in developing hypotheses around future talent concentrations and a deeper comprehension of community expiration theory.

Read More

Read More

2026 Cohort

2024 + 2025 Cohorts

2026 Cohort

2024 + 2025 Cohorts

Across the 2026 data set, the big 5 in terms of dominance in career histories and experience are Meta (incl. Facebook), Google (incl. Waymo), Stripe, Ramp, and Google DeepMind.

Across the 2026 data set, the big 5 in terms of dominance in career histories and experience are Meta (incl. Facebook), Google (incl. Waymo), Stripe, Ramp, and Google DeepMind.

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individuals have held at least one position within at least one of these 5 companies

individuals have held at least one position within at least one of these 5 companies

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individuals have held more than one position within at least one or more of these 5 companies

individuals have held more than one position within at least one or more of these 5 companies

Tenure

The pattern of 2026 cohort moving faster continues. Counting all roles at the same company as one stint, the median 2026 member stays about 18 months before changing companies, versus 30 months for the 2024 and 2025 lists. The gap is widest at late-stage companies (about 21 vs. 43 months at Series E+), where earlier lists tended to grow through promotions instead of leaving for a new company.

The pattern of 2026 cohort moving faster continues. Counting all roles at the same company as one stint, the median 2026 member stays about 18 months before changing companies, versus 30 months for the 2024 and 2025 lists. The gap is widest at late-stage companies (about 21 vs. 43 months at Series E+), where earlier lists tended to grow through promotions instead of leaving for a new company.

Cycle Compression

Cycle Compression

Big Tech Training Ground

Big Tech Training Ground

Lab Gravity + Boomerangs

Lab Gravity + Boomerangs

Internship Launchpad

Internship Launchpad

Quant Crossover

Quant Crossover

Investors in the Arena

Investors in the Arena

The 10x Gap

The 10x Gap

Research Breakaways

Research Breakaways

Founders in Motion

Founders in Motion

Talent Density Norms

Talent Density Norms

Section 04

Exceptional 100 / 2026

Talent Migration

Section 04

Talent Migration

Exceptional 100 Talent Migration

From the 2024 and 2025 cohorts, there have been the following changes since each list was published:

  • 10 have started founder journeys, raising ~$2B combined

  • 35 moved to another company

We expect to be able to enhance our analysis on the talent vibration and migration year over year. For this year we can give visual insights and observations from prior years, to present (October 2026).

From the 2024 and 2025 cohorts, there have been the following changes since each list was published:

  • 10 have started founder journeys, raising ~$2B combined

  • 35 moved to another company

We expect to be able to enhance our analysis on the talent vibration and migration year over year. For this year we can give visual insights and observations from prior years, to present (October 2026).

Read More

Read More

Section 05

Exceptional 100 / 2026

E100 Funding

Section 05

E100 Funding

Add funding analysis here.

Section 06

Exceptional 100 / 2026

The 100

Section 06

The 100

Meet the 2026 Exceptional 100

Wei-Lin Pai

Amazon

Wei-Lin is a member of the technical staff at Amazon Frontier AI & Robotics building the simulation stack for robot foundation models

Theodora Chu

Anthropic

Theodora is a product manager at Anthropic who helped launch Model Context Protocol (MCP), and previously founded an AI startup

Siddharth Bidasaria

Anthropic

Siddharth is the founding engineer and tech lead of Claude Code at Anthropic, having previously worked on the options team at Robinhood

Felix Rieseberg

Anthropic

Felix is an engineering manager at Anthropic who created Claude Cowork, having previously led engineering teams at Notion, Stripe, and Slack

Carl Osborne

Apple

Carl is a student at MIT and was a rendering engineer intern at Apple on the Motion team

Margaret Qian

Applied Compute

Margaret is the Infrastructure Lead at Applied Compute building systems to train and serve frontier models

Kevin Li

Applied Intuition

Kevin is an ML engineer at Applied Intuition working on autonomy foundation model post-training

Madhav Bhat

Applied Intuition

Madhav is a software engineer at Applied Intuition helping customers deploy its physical AI products

Philip Kiely

Baseten

Philip works on special projects at Baseten, having joined as its tenth employee, and authored the book Inference Engineering

Samiksha Pal

Baseten

Samiksha is a software engineer at Baseten building model deployment and inference infrastructure, having joined as its first new grad hire

Danny Geisz

Chai Discovery

Danny is a founding AI scientist at Chai Discovery building frontier AI to predict and reprogram molecular interactions

Amogh Dhumal

Citadel

Amogh is a software engineer at Citadel Securities

Nina Boord

Cogent Security

Nina is the founding forward deployed engineer at Cogent Security, having previously worked on autonomous vehicle safety at Nuro

Jia Wu

Cognition

Jia is the team lead for deployed engineering at Cognition, having previously worked in deployed engineering at Windsurf

Carlo Baronio

Cognition

Carlo is a research engineer at Cognition working on reinforcement learning for its SWE model family, having previously been a researcher at Stanford

Sara Xiang

Cognition

Sara is a product manager at Cognition, having previously worked at Scale AI

Brian Lu

Cognition

Brian is a member of the technical staff at Cognition

Michael Dalton

Console

Michael is a software engineer at Console building an AI-native platform for IT service management

Charlie Snell

Cursor

Charlie is a research scientist at Cursor training frontier coding agents, having previously researched test-time compute scaling during his PhD at UC Berkeley

Kevin Huang

Decagon

Kevin is a member of the technical staff at Decagon, having previously been a software engineer at Roblox

Winnie X

Deepmind

Winnie is a research scientist at DeepMind working on reinforcement learning and agentic reasoning for Gemini, having previously been founding research staff at Contextual AI

Alex Goodison

ElevenLabs

Alex is a forward deployed engineer at ElevenLabs deploying voice AI for enterprise customers, and previously founded Homeplan

Aneri Amin

ElevenLabs

Aneri leads product and growth for ElevenCreative at ElevenLabs, launching the Voice and Music Marketplaces

Sumer Sao

Etched

Sumer works on special projects at Etched, having previously been a founding engineer at Kalshi

Shreyas Sreenivas

Exa

Shreyas is a founding engineer at Exa building its Rust vector database and web-scale search infrastructure

David Vendrow

Factory

David is a founding member of the technical staff at Factory, where he has worked since 2023

Batuhan T

Fal

Batuhan is the Head of Engineering at fal optimizing generative media inference, and is a Python core developer

Abhay Singhal

Factory

Abhay is a member of the technical staff at Factory building its coding agents and Factory Router

Madison Faulkner

Factory

Madison leads strategic initiatives at Factory, including the Factory Partner Network and The Factory Guild

Olivia Lee

Figure AI

Olivia is a senior AI engineer at Figure AI on the Helix team building models for humanoid robot manipulation

Yifan Xiao

Fireworks

Yifan is a founding software engineer at Fireworks AI leading its LLM fine-tuning and reinforcement learning engines

Yi Su

Fireworks

Yi is a member of the technical staff at Fireworks AI working on reinforcement fine-tuning and contributed to Ember-1, the first Fireworks-trained model

Amy Li

Glean

Amy is a senior software engineer at Glean building AI infrastructure and Health Agents, having previously worked at Nuro and Robinhood

Owen Lewis

Goodfire

Owen is a principal investigator at Goodfire working on interpretability research

Ben Hacking

Granola

Ben is a product manager at Granola focused on growth, having previously co-founded Arcane

Isabel Sieh

Harvey

Isabel is a software engineer at Harvey, having previously been a software engineer at Waymo

Lise Savard

Spacex

Lise is a software engineer at SpaceX, having previously interned at Facebook and Stripe

Aryan Goyal

Jane Street

Aryan is a software engineer at Jane Street, having previously interned there on fixed-income and order-flow systems

Lucas Baker

Jump Trading

Lucas is the Head of AI Research at Jump Trading leading its use of frontier models and agentic systems for quantitative research

Jinsub Hong

Kalshi

Jinsub is a product manager at Kalshi

Rainer Sainvil

Kalshi

Rainer is a founding engineer at Kalshi working across product and engineering since 2021

Di Qi

Legora

Di is a member of the technical staff at Legora and its first forward deployed engineer, embedding with law firm clients

Veer Mehta

Listen Labs

Veer is a student at UC Berkeley and interned on the engineering team at Listen Labs

Benjamin Hunsberger

Mercor

Benjamin is an applied AI team lead at Mercor and co-authored the AI Productivity Index (APEX) benchmark

Akul Datta

Mercor

Akul is a member of the technical staff at Mercor working on AI evaluation and code environments, including APEX-SWE

Jack Rae

Meta

Jack is an AI research scientist at Meta, having previously led pre-training and reasoning for Gemini at Google DeepMind

Lucile Saulnier

Mistral

Lucile is a lead research scientist at Mistral who contributed to Mistral 7B and Mixtral, having previously been a research engineer at Hugging Face

Daniel Shaar

Modal

Daniel is a member of the technical staff at Modal who led the effort to scale Modal to one million concurrent sandboxes

Deven Navani

Modal

Deven is a member of the technical staff at Modal building its serverless AI infrastructure

Alan Yu

Netic

Alan is an engineer at Netic building AI for home services businesses, having previously worked at Scale AI

Stephen Wu

Notion

Stephen is a tech lead manager at Notion leading the Primitive Foundations team, having previously worked on the databases platform

Benjamin Klieger

Nvidia

Benjamin is an engineering manager at Nvidia building frontier coding agent systems, having previously been Head of Agents at Groq

Ryan Chang

Long Lake / Clay

Ryan is a software engineer at Long Lake, and was previously at Clay building AI agents for GTM teams

Shashank Goyal

Open Router

Shashank is a founding engineer at OpenRouter, where he led its provider ecosystem

James Zhang

OpenAI

James is a member of the technical staff at OpenAI on the core ChatGPT engineering team, having previously worked at Notion and Stripe

Hanson Wang

OpenAI

Hanson is a member of the technical staff at OpenAI on the Codex team, post-training coding models including codex-1

Sauren Khosla

OpenEvidence

Sauren is a lead product engineer at OpenEvidence, having previously co-founded Amaro, which OpenEvidence acquired

Adithya Sanjay

Pace

Adithya is an applied AI software engineer at Pace, having previously spent nearly four years at Insight Partners

Krish Modi

Palantir

Krish is a student at the University of Waterloo and interned at Palantir working on agent infrastructure

Arunanshu Roy

Parallel

Arunanshu is a founding engineer at Parallel Web Systems, having been the company's first hire after Parag Agrawal

Carra Wu

Parallel

Carra is a product manager at Parallel Web Systems leading product for Index, having previously been an investing partner at a16z crypto

XuDong Wang

Physical Intelligence

XuDong is a member of the technical staff at Physical Intelligence leading its video-action model team, and is an incoming assistant professor at Duke

Liyiming Ke

Physical Intelligence

Liyiming is a member of the technical staff at Physical Intelligence who contributed to the pi0 and pi0.5 robot foundation models

Joshua Bambrick

Isomorphic Labs

Joshua is a principal research engineer at Isomorphic Labs, where he was one of its first researchers and contributed to AlphaFold 3

Matt Fan

Poetic

Matt is a software engineer at Poetic (formerly Forge) building AI that turns business rules into deterministic, auditable software

Martin Sit

Polymarket

Martin is a software engineer on the core product engineering team at Polymarket

Alex Stauffer

Ramp

Alex is the Co-Head of Ramp Labs, Ramp's applied AI research team behind Ramp Sheets

Whitney LaRow

Ramp

Whitney is a software engineer at Ramp, having previously co-founded Catch, where she was head of engineering

Alex Shevchenko

Ramp

Alex is the Head of Ramp Labs, Ramp's applied AI research team, which he co-founded and which built Ramp Sheets

Veeral Patel

Ramp

Veeral is a founding engineer at Ramp leading applied AI, including the launch of Ramp Router

Nancy Hung

Reflection AI

Nancy is a member of the technical staff at Reflection AI building model training infrastructure, having previously built the Finetuning API at MosaicML and Databricks

Brendan McLaughlin

Reflection AI

Brendan is a member of the technical staff at Reflection AI, having previously been a research engineer at Scale AI

Vaibhav Kumar

Replit

Vaibhav is a senior AI engineer at Replit working on inference and LLM integration

Pierre Cahuzac

Revolut

Pierre is a product leader at Revolut heading product for Revolut Business, having joined in 2019 as a product manager

Michael Lapadula

Rillet

Michael is an engineering manager at Rillet leading the integrations team, having previously led engineering teams at Stripe

Octavien Han

Rogo

Octavien is a member of the technical staff at Rogo building its AI platform for financial institutions

Nirvik Baruah

Sail Research

Nirvik is a member of the technical staff at Sail Research who co-developed Sailboxes, having previously worked at Jane Street

Kaz Hishida

Serval

Kaz is the founding engineer and first hire at Serval building its AI-native IT service management platform

Nat Meurer

Sierra

Nat is the General Manager, Public Sector at Sierra, having previously been Head of Agent Engineering

Danny Lee

Sierra

Danny is a software engineer at Sierra building agent development tools including Ghostwriter, having previously been a software engineer at Google and Meta

Shreya Shubhangi

Sierra

Shreya is a software engineer at Sierra, having joined through Sierra's acquisition of Takeoff and previously worked at Snorkel AI

Shikhar Bahl

Skild AI

Shikhar is a founding research scientist at Skild AI building general-purpose robot foundation models, having completed his PhD at Carnegie Mellon's Robotics Institute

Roman Ugarte

Spacex

Roman leads growth at SpaceX's AI team, where he launched Grok Bot, having previously been Head of Growth at Cursor

Hewitt McGaughey

Sunday Robotics

Hewitt is a firmware engineer at Sunday Robotics working on motor control for its home robot

Weimin Wang

Spacex

Weimin is a staff ML engineer at SpaceX, having previously worked on video foundation models at Character AI and ByteDance

Alexis Gendron

Tesla Optimus

Alexis is a senior robotics software engineer at Tesla Optimus developing embedded software for sensors and actuation

Sahil Jain

Tesla Optimus

Sahil is a senior Autopilot engineer at Tesla working on foundation and world models for Optimus

Luke Carlson

Thinking Machines

Luke is a member of the technical staff at Thinking Machines, having previously been a senior ML engineer at Apple

Alex Gartrell

Thinking Machines

Alex is the Head of Engineering at Thinking Machines leading platform and infrastructure including Tinker, having previously spent nearly 14 years at Meta

Yijia Shao

Thinking Machines

Yijia is a PhD student at Stanford and was the first intern at Thinking Machines, working on human-agent collaboration

VS Chandra Mourya

Together AI

VS Chandra is an ML engineer on the core inference team at Together AI building high-performance LLM inference engines

Sandeep Routray

Skild AI

Sandeep is a member of the technical staff at Skild AI building robotics foundation models, having researched robot learning from human videos at Carnegie Mellon

Olivier G

Traversal

Olivier is a member of the technical staff at Traversal

Nathan VanBenschoten

Turbopuffer

Nathan is the Chief Architect at turbopuffer, having previously been a principal software engineer at Cockroach Labs

Valyo Yolovski

Vanta

Valyo is a senior software engineer at Vanta and tech lead on the AI product team for vendor risk management

Zixuan Huang

World Labs

Zixuan is a member of the technical staff at World Labs working on 3D generation and world models, having previously been a research scientist at Meta Reality Labs

Leon Bi

xAI

Leon is a member of the technical staff at xAI who helped build the Grok Imagine API, having previously worked at Databricks

William Fu

xAI

William works on applied AI at xAI and previously helped release the Moderation 11B VLM multimodal model

Lauren Tan

xAI

Lauren is a principal engineer at xAI building the client framework for Grok Bot, having previously spent six years on the React team at Meta

Aneesh Vathul

xAI

Aneesh is a student at Stanford and a member of the technical staff at xAI

Wei-Lin Pai

Amazon

Wei-Lin is a member of the technical staff at Amazon Frontier AI & Robotics building the simulation stack for robot foundation models

Theodora Chu

Anthropic

Theodora is a product manager at Anthropic who helped launch Model Context Protocol (MCP), and previously founded an AI startup

Siddharth Bidasaria

Anthropic

Siddharth is the founding engineer and tech lead of Claude Code at Anthropic, having previously worked on the options team at Robinhood

Felix Rieseberg

Anthropic

Felix is an engineering manager at Anthropic who created Claude Cowork, having previously led engineering teams at Notion, Stripe, and Slack

Carl Osborne

Apple

Carl is a student at MIT and was a rendering engineer intern at Apple on the Motion team

Margaret Qian

Applied Compute

Margaret is the Infrastructure Lead at Applied Compute building systems to train and serve frontier models

Kevin Li

Applied Intuition

Kevin is an ML engineer at Applied Intuition working on autonomy foundation model post-training

Madhav Bhat

Applied Intuition

Madhav is a software engineer at Applied Intuition helping customers deploy its physical AI products

Philip Kiely

Baseten

Philip works on special projects at Baseten, having joined as its tenth employee, and authored the book Inference Engineering

Samiksha Pal

Baseten

Samiksha is a software engineer at Baseten building model deployment and inference infrastructure, having joined as its first new grad hire

Danny Geisz

Chai Discovery

Danny is a founding AI scientist at Chai Discovery building frontier AI to predict and reprogram molecular interactions

Amogh Dhumal

Citadel

Amogh is a software engineer at Citadel Securities

Nina Boord

Cogent Security

Nina is the founding forward deployed engineer at Cogent Security, having previously worked on autonomous vehicle safety at Nuro

Jia Wu

Cognition

Jia is the team lead for deployed engineering at Cognition, having previously worked in deployed engineering at Windsurf

Carlo Baronio

Cognition

Carlo is a research engineer at Cognition working on reinforcement learning for its SWE model family, having previously been a researcher at Stanford

Sara Xiang

Cognition

Sara is a product manager at Cognition, having previously worked at Scale AI

Brian Lu

Cognition

Brian is a member of the technical staff at Cognition

Michael Dalton

Console

Michael is a software engineer at Console building an AI-native platform for IT service management

Charlie Snell

Cursor

Charlie is a research scientist at Cursor training frontier coding agents, having previously researched test-time compute scaling during his PhD at UC Berkeley

Kevin Huang

Decagon

Kevin is a member of the technical staff at Decagon, having previously been a software engineer at Roblox

Winnie X

Deepmind

Winnie is a research scientist at DeepMind working on reinforcement learning and agentic reasoning for Gemini, having previously been founding research staff at Contextual AI

Alex Goodison

ElevenLabs

Alex is a forward deployed engineer at ElevenLabs deploying voice AI for enterprise customers, and previously founded Homeplan

Aneri Amin

ElevenLabs

Aneri leads product and growth for ElevenCreative at ElevenLabs, launching the Voice and Music Marketplaces

Sumer Sao

Etched

Sumer works on special projects at Etched, having previously been a founding engineer at Kalshi

Shreyas Sreenivas

Exa

Shreyas is a founding engineer at Exa building its Rust vector database and web-scale search infrastructure

David Vendrow

Factory

David is a founding member of the technical staff at Factory, where he has worked since 2023

Batuhan T

Fal

Batuhan is the Head of Engineering at fal optimizing generative media inference, and is a Python core developer

Abhay Singhal

Factory

Abhay is a member of the technical staff at Factory building its coding agents and Factory Router

Madison Faulkner

Factory

Madison leads strategic initiatives at Factory, including the Factory Partner Network and The Factory Guild

Olivia Lee

Figure AI

Olivia is a senior AI engineer at Figure AI on the Helix team building models for humanoid robot manipulation

Yifan Xiao

Fireworks

Yifan is a founding software engineer at Fireworks AI leading its LLM fine-tuning and reinforcement learning engines

Yi Su

Fireworks

Yi is a member of the technical staff at Fireworks AI working on reinforcement fine-tuning and contributed to Ember-1, the first Fireworks-trained model

Amy Li

Glean

Amy is a senior software engineer at Glean building AI infrastructure and Health Agents, having previously worked at Nuro and Robinhood

Owen Lewis

Goodfire

Owen is a principal investigator at Goodfire working on interpretability research

Ben Hacking

Granola

Ben is a product manager at Granola focused on growth, having previously co-founded Arcane

Isabel Sieh

Harvey

Isabel is a software engineer at Harvey, having previously been a software engineer at Waymo

Lise Savard

Spacex

Lise is a software engineer at SpaceX, having previously interned at Facebook and Stripe

Aryan Goyal

Jane Street

Aryan is a software engineer at Jane Street, having previously interned there on fixed-income and order-flow systems

Lucas Baker

Jump Trading

Lucas is the Head of AI Research at Jump Trading leading its use of frontier models and agentic systems for quantitative research

Jinsub Hong

Kalshi

Jinsub is a product manager at Kalshi

Rainer Sainvil

Kalshi

Rainer is a founding engineer at Kalshi working across product and engineering since 2021

Di Qi

Legora

Di is a member of the technical staff at Legora and its first forward deployed engineer, embedding with law firm clients

Veer Mehta

Listen Labs

Veer is a student at UC Berkeley and interned on the engineering team at Listen Labs

Benjamin Hunsberger

Mercor

Benjamin is an applied AI team lead at Mercor and co-authored the AI Productivity Index (APEX) benchmark

Akul Datta

Mercor

Akul is a member of the technical staff at Mercor working on AI evaluation and code environments, including APEX-SWE

Jack Rae

Meta

Jack is an AI research scientist at Meta, having previously led pre-training and reasoning for Gemini at Google DeepMind

Lucile Saulnier

Mistral

Lucile is a lead research scientist at Mistral who contributed to Mistral 7B and Mixtral, having previously been a research engineer at Hugging Face

Daniel Shaar

Modal

Daniel is a member of the technical staff at Modal who led the effort to scale Modal to one million concurrent sandboxes

Deven Navani

Modal

Deven is a member of the technical staff at Modal building its serverless AI infrastructure

Alan Yu

Netic

Alan is an engineer at Netic building AI for home services businesses, having previously worked at Scale AI

Stephen Wu

Notion

Stephen is a tech lead manager at Notion leading the Primitive Foundations team, having previously worked on the databases platform

Benjamin Klieger

Nvidia

Benjamin is an engineering manager at Nvidia building frontier coding agent systems, having previously been Head of Agents at Groq

Ryan Chang

Long Lake / Clay

Ryan is a software engineer at Long Lake, and was previously at Clay building AI agents for GTM teams

Shashank Goyal

Open Router

Shashank is a founding engineer at OpenRouter, where he led its provider ecosystem

James Zhang

OpenAI

James is a member of the technical staff at OpenAI on the core ChatGPT engineering team, having previously worked at Notion and Stripe

Hanson Wang

OpenAI

Hanson is a member of the technical staff at OpenAI on the Codex team, post-training coding models including codex-1

Sauren Khosla

OpenEvidence

Sauren is a lead product engineer at OpenEvidence, having previously co-founded Amaro, which OpenEvidence acquired

Adithya Sanjay

Pace

Adithya is an applied AI software engineer at Pace, having previously spent nearly four years at Insight Partners

Krish Modi

Palantir

Krish is a student at the University of Waterloo and interned at Palantir working on agent infrastructure

Arunanshu Roy

Parallel

Arunanshu is a founding engineer at Parallel Web Systems, having been the company's first hire after Parag Agrawal

Carra Wu

Parallel

Carra is a product manager at Parallel Web Systems leading product for Index, having previously been an investing partner at a16z crypto

XuDong Wang

Physical Intelligence

XuDong is a member of the technical staff at Physical Intelligence leading its video-action model team, and is an incoming assistant professor at Duke

Liyiming Ke

Physical Intelligence

Liyiming is a member of the technical staff at Physical Intelligence who contributed to the pi0 and pi0.5 robot foundation models

Joshua Bambrick

Isomorphic Labs

Joshua is a principal research engineer at Isomorphic Labs, where he was one of its first researchers and contributed to AlphaFold 3

Matt Fan

Poetic

Matt is a software engineer at Poetic (formerly Forge) building AI that turns business rules into deterministic, auditable software

Martin Sit

Polymarket

Martin is a software engineer on the core product engineering team at Polymarket

Alex Stauffer

Ramp

Alex is the Co-Head of Ramp Labs, Ramp's applied AI research team behind Ramp Sheets

Whitney LaRow

Ramp

Whitney is a software engineer at Ramp, having previously co-founded Catch, where she was head of engineering

Alex Shevchenko

Ramp

Alex is the Head of Ramp Labs, Ramp's applied AI research team, which he co-founded and which built Ramp Sheets

Veeral Patel

Ramp

Veeral is a founding engineer at Ramp leading applied AI, including the launch of Ramp Router

Nancy Hung

Reflection AI

Nancy is a member of the technical staff at Reflection AI building model training infrastructure, having previously built the Finetuning API at MosaicML and Databricks

Brendan McLaughlin

Reflection AI

Brendan is a member of the technical staff at Reflection AI, having previously been a research engineer at Scale AI

Vaibhav Kumar

Replit

Vaibhav is a senior AI engineer at Replit working on inference and LLM integration

Pierre Cahuzac

Revolut

Pierre is a product leader at Revolut heading product for Revolut Business, having joined in 2019 as a product manager

Michael Lapadula

Rillet

Michael is an engineering manager at Rillet leading the integrations team, having previously led engineering teams at Stripe

Octavien Han

Rogo

Octavien is a member of the technical staff at Rogo building its AI platform for financial institutions

Nirvik Baruah

Sail Research

Nirvik is a member of the technical staff at Sail Research who co-developed Sailboxes, having previously worked at Jane Street

Kaz Hishida

Serval

Kaz is the founding engineer and first hire at Serval building its AI-native IT service management platform

Nat Meurer

Sierra

Nat is the General Manager, Public Sector at Sierra, having previously been Head of Agent Engineering

Danny Lee

Sierra

Danny is a software engineer at Sierra building agent development tools including Ghostwriter, having previously been a software engineer at Google and Meta

Shreya Shubhangi

Sierra

Shreya is a software engineer at Sierra, having joined through Sierra's acquisition of Takeoff and previously worked at Snorkel AI

Shikhar Bahl

Skild AI

Shikhar is a founding research scientist at Skild AI building general-purpose robot foundation models, having completed his PhD at Carnegie Mellon's Robotics Institute

Roman Ugarte

Spacex

Roman leads growth at SpaceX's AI team, where he launched Grok Bot, having previously been Head of Growth at Cursor

Hewitt McGaughey

Sunday Robotics

Hewitt is a firmware engineer at Sunday Robotics working on motor control for its home robot

Weimin Wang

Spacex

Weimin is a staff ML engineer at SpaceX, having previously worked on video foundation models at Character AI and ByteDance

Alexis Gendron

Tesla Optimus

Alexis is a senior robotics software engineer at Tesla Optimus developing embedded software for sensors and actuation

Sahil Jain

Tesla Optimus

Sahil is a senior Autopilot engineer at Tesla working on foundation and world models for Optimus

Luke Carlson

Thinking Machines

Luke is a member of the technical staff at Thinking Machines, having previously been a senior ML engineer at Apple

Alex Gartrell

Thinking Machines

Alex is the Head of Engineering at Thinking Machines leading platform and infrastructure including Tinker, having previously spent nearly 14 years at Meta

Yijia Shao

Thinking Machines

Yijia is a PhD student at Stanford and was the first intern at Thinking Machines, working on human-agent collaboration

VS Chandra Mourya

Together AI

VS Chandra is an ML engineer on the core inference team at Together AI building high-performance LLM inference engines

Sandeep Routray

Skild AI

Sandeep is a member of the technical staff at Skild AI building robotics foundation models, having researched robot learning from human videos at Carnegie Mellon

Olivier G

Traversal

Olivier is a member of the technical staff at Traversal

Nathan VanBenschoten

Turbopuffer

Nathan is the Chief Architect at turbopuffer, having previously been a principal software engineer at Cockroach Labs

Valyo Yolovski

Vanta

Valyo is a senior software engineer at Vanta and tech lead on the AI product team for vendor risk management

Zixuan Huang

World Labs

Zixuan is a member of the technical staff at World Labs working on 3D generation and world models, having previously been a research scientist at Meta Reality Labs

Leon Bi

xAI

Leon is a member of the technical staff at xAI who helped build the Grok Imagine API, having previously worked at Databricks

William Fu

xAI

William works on applied AI at xAI and previously helped release the Moderation 11B VLM multimodal model

Lauren Tan

xAI

Lauren is a principal engineer at xAI building the client framework for Grok Bot, having previously spent six years on the React team at Meta

Aneesh Vathul

xAI

Aneesh is a student at Stanford and a member of the technical staff at xAI

Wei-Lin Pai

Amazon

Wei-Lin is a member of the technical staff at Amazon Frontier AI & Robotics building the simulation stack for robot foundation models

Theodora Chu

Anthropic

Theodora is a product manager at Anthropic who helped launch Model Context Protocol (MCP), and previously founded an AI startup

Siddharth Bidasaria

Anthropic

Siddharth is the founding engineer and tech lead of Claude Code at Anthropic, having previously worked on the options team at Robinhood

Felix Rieseberg

Anthropic

Felix is an engineering manager at Anthropic who created Claude Cowork, having previously led engineering teams at Notion, Stripe, and Slack

Carl Osborne

Apple

Carl is a student at MIT and was a rendering engineer intern at Apple on the Motion team

Margaret Qian

Applied Compute

Margaret is the Infrastructure Lead at Applied Compute building systems to train and serve frontier models

Kevin Li

Applied Intuition

Kevin is an ML engineer at Applied Intuition working on autonomy foundation model post-training

Madhav Bhat

Applied Intuition

Madhav is a software engineer at Applied Intuition helping customers deploy its physical AI products

Philip Kiely

Baseten

Philip works on special projects at Baseten, having joined as its tenth employee, and authored the book Inference Engineering

Samiksha Pal

Baseten

Samiksha is a software engineer at Baseten building model deployment and inference infrastructure, having joined as its first new grad hire

Danny Geisz

Chai Discovery

Danny is a founding AI scientist at Chai Discovery building frontier AI to predict and reprogram molecular interactions

Amogh Dhumal

Citadel

Amogh is a software engineer at Citadel Securities

Nina Boord

Cogent Security

Nina is the founding forward deployed engineer at Cogent Security, having previously worked on autonomous vehicle safety at Nuro

Jia Wu

Cognition

Jia is the team lead for deployed engineering at Cognition, having previously worked in deployed engineering at Windsurf

Carlo Baronio

Cognition

Carlo is a research engineer at Cognition working on reinforcement learning for its SWE model family, having previously been a researcher at Stanford

Sara Xiang

Cognition

Sara is a product manager at Cognition, having previously worked at Scale AI

Brian Lu

Cognition

Brian is a member of the technical staff at Cognition

Michael Dalton

Console

Michael is a software engineer at Console building an AI-native platform for IT service management

Charlie Snell

Cursor

Charlie is a research scientist at Cursor training frontier coding agents, having previously researched test-time compute scaling during his PhD at UC Berkeley

Kevin Huang

Decagon

Kevin is a member of the technical staff at Decagon, having previously been a software engineer at Roblox

Winnie X

Deepmind

Winnie is a research scientist at DeepMind working on reinforcement learning and agentic reasoning for Gemini, having previously been founding research staff at Contextual AI

Alex Goodison

ElevenLabs

Alex is a forward deployed engineer at ElevenLabs deploying voice AI for enterprise customers, and previously founded Homeplan

Aneri Amin

ElevenLabs

Aneri leads product and growth for ElevenCreative at ElevenLabs, launching the Voice and Music Marketplaces

Sumer Sao

Etched

Sumer works on special projects at Etched, having previously been a founding engineer at Kalshi

Shreyas Sreenivas

Exa

Shreyas is a founding engineer at Exa building its Rust vector database and web-scale search infrastructure

David Vendrow

Factory

David is a founding member of the technical staff at Factory, where he has worked since 2023

Batuhan T

Fal

Batuhan is the Head of Engineering at fal optimizing generative media inference, and is a Python core developer

Abhay Singhal

Factory

Abhay is a member of the technical staff at Factory building its coding agents and Factory Router

Madison Faulkner

Factory

Madison leads strategic initiatives at Factory, including the Factory Partner Network and The Factory Guild

Olivia Lee

Figure AI

Olivia is a senior AI engineer at Figure AI on the Helix team building models for humanoid robot manipulation

Yifan Xiao

Fireworks

Yifan is a founding software engineer at Fireworks AI leading its LLM fine-tuning and reinforcement learning engines

Yi Su

Fireworks

Yi is a member of the technical staff at Fireworks AI working on reinforcement fine-tuning and contributed to Ember-1, the first Fireworks-trained model

Amy Li

Glean

Amy is a senior software engineer at Glean building AI infrastructure and Health Agents, having previously worked at Nuro and Robinhood

Owen Lewis

Goodfire

Owen is a principal investigator at Goodfire working on interpretability research

Ben Hacking

Granola

Ben is a product manager at Granola focused on growth, having previously co-founded Arcane

Isabel Sieh

Harvey

Isabel is a software engineer at Harvey, having previously been a software engineer at Waymo

Lise Savard

Spacex

Lise is a software engineer at SpaceX, having previously interned at Facebook and Stripe

Aryan Goyal

Jane Street

Aryan is a software engineer at Jane Street, having previously interned there on fixed-income and order-flow systems

Lucas Baker

Jump Trading

Lucas is the Head of AI Research at Jump Trading leading its use of frontier models and agentic systems for quantitative research

Jinsub Hong

Kalshi

Jinsub is a product manager at Kalshi

Rainer Sainvil

Kalshi

Rainer is a founding engineer at Kalshi working across product and engineering since 2021

Di Qi

Legora

Di is a member of the technical staff at Legora and its first forward deployed engineer, embedding with law firm clients

Veer Mehta

Listen Labs

Veer is a student at UC Berkeley and interned on the engineering team at Listen Labs

Benjamin Hunsberger

Mercor

Benjamin is an applied AI team lead at Mercor and co-authored the AI Productivity Index (APEX) benchmark

Akul Datta

Mercor

Akul is a member of the technical staff at Mercor working on AI evaluation and code environments, including APEX-SWE

Jack Rae

Meta

Jack is an AI research scientist at Meta, having previously led pre-training and reasoning for Gemini at Google DeepMind

Lucile Saulnier

Mistral

Lucile is a lead research scientist at Mistral who contributed to Mistral 7B and Mixtral, having previously been a research engineer at Hugging Face

Daniel Shaar

Modal

Daniel is a member of the technical staff at Modal who led the effort to scale Modal to one million concurrent sandboxes

Deven Navani

Modal

Deven is a member of the technical staff at Modal building its serverless AI infrastructure

Alan Yu

Netic

Alan is an engineer at Netic building AI for home services businesses, having previously worked at Scale AI

Stephen Wu

Notion

Stephen is a tech lead manager at Notion leading the Primitive Foundations team, having previously worked on the databases platform

Benjamin Klieger

Nvidia

Benjamin is an engineering manager at Nvidia building frontier coding agent systems, having previously been Head of Agents at Groq

Ryan Chang

Long Lake / Clay

Ryan is a software engineer at Long Lake, and was previously at Clay building AI agents for GTM teams

Shashank Goyal

Open Router

Shashank is a founding engineer at OpenRouter, where he led its provider ecosystem

James Zhang

OpenAI

James is a member of the technical staff at OpenAI on the core ChatGPT engineering team, having previously worked at Notion and Stripe

Hanson Wang

OpenAI

Hanson is a member of the technical staff at OpenAI on the Codex team, post-training coding models including codex-1

Sauren Khosla

OpenEvidence

Sauren is a lead product engineer at OpenEvidence, having previously co-founded Amaro, which OpenEvidence acquired

Adithya Sanjay

Pace

Adithya is an applied AI software engineer at Pace, having previously spent nearly four years at Insight Partners

Krish Modi

Palantir

Krish is a student at the University of Waterloo and interned at Palantir working on agent infrastructure

Arunanshu Roy

Parallel

Arunanshu is a founding engineer at Parallel Web Systems, having been the company's first hire after Parag Agrawal

Carra Wu

Parallel

Carra is a product manager at Parallel Web Systems leading product for Index, having previously been an investing partner at a16z crypto

XuDong Wang

Physical Intelligence

XuDong is a member of the technical staff at Physical Intelligence leading its video-action model team, and is an incoming assistant professor at Duke

Liyiming Ke

Physical Intelligence

Liyiming is a member of the technical staff at Physical Intelligence who contributed to the pi0 and pi0.5 robot foundation models

Joshua Bambrick

Isomorphic Labs

Joshua is a principal research engineer at Isomorphic Labs, where he was one of its first researchers and contributed to AlphaFold 3

Matt Fan

Poetic

Matt is a software engineer at Poetic (formerly Forge) building AI that turns business rules into deterministic, auditable software

Martin Sit

Polymarket

Martin is a software engineer on the core product engineering team at Polymarket

Alex Stauffer

Ramp

Alex is the Co-Head of Ramp Labs, Ramp's applied AI research team behind Ramp Sheets

Whitney LaRow

Ramp

Whitney is a software engineer at Ramp, having previously co-founded Catch, where she was head of engineering

Alex Shevchenko

Ramp

Alex is the Head of Ramp Labs, Ramp's applied AI research team, which he co-founded and which built Ramp Sheets

Veeral Patel

Ramp

Veeral is a founding engineer at Ramp leading applied AI, including the launch of Ramp Router

Nancy Hung

Reflection AI

Nancy is a member of the technical staff at Reflection AI building model training infrastructure, having previously built the Finetuning API at MosaicML and Databricks

Brendan McLaughlin

Reflection AI

Brendan is a member of the technical staff at Reflection AI, having previously been a research engineer at Scale AI

Vaibhav Kumar

Replit

Vaibhav is a senior AI engineer at Replit working on inference and LLM integration

Pierre Cahuzac

Revolut

Pierre is a product leader at Revolut heading product for Revolut Business, having joined in 2019 as a product manager

Michael Lapadula

Rillet

Michael is an engineering manager at Rillet leading the integrations team, having previously led engineering teams at Stripe

Octavien Han

Rogo

Octavien is a member of the technical staff at Rogo building its AI platform for financial institutions

Nirvik Baruah

Sail Research

Nirvik is a member of the technical staff at Sail Research who co-developed Sailboxes, having previously worked at Jane Street

Kaz Hishida

Serval

Kaz is the founding engineer and first hire at Serval building its AI-native IT service management platform

Nat Meurer

Sierra

Nat is the General Manager, Public Sector at Sierra, having previously been Head of Agent Engineering

Danny Lee

Sierra

Danny is a software engineer at Sierra building agent development tools including Ghostwriter, having previously been a software engineer at Google and Meta

Shreya Shubhangi

Sierra

Shreya is a software engineer at Sierra, having joined through Sierra's acquisition of Takeoff and previously worked at Snorkel AI

Shikhar Bahl

Skild AI

Shikhar is a founding research scientist at Skild AI building general-purpose robot foundation models, having completed his PhD at Carnegie Mellon's Robotics Institute

Roman Ugarte

Spacex

Roman leads growth at SpaceX's AI team, where he launched Grok Bot, having previously been Head of Growth at Cursor

Hewitt McGaughey

Sunday Robotics

Hewitt is a firmware engineer at Sunday Robotics working on motor control for its home robot

Weimin Wang

Spacex

Weimin is a staff ML engineer at SpaceX, having previously worked on video foundation models at Character AI and ByteDance

Alexis Gendron

Tesla Optimus

Alexis is a senior robotics software engineer at Tesla Optimus developing embedded software for sensors and actuation

Sahil Jain

Tesla Optimus

Sahil is a senior Autopilot engineer at Tesla working on foundation and world models for Optimus

Luke Carlson

Thinking Machines

Luke is a member of the technical staff at Thinking Machines, having previously been a senior ML engineer at Apple

Alex Gartrell

Thinking Machines

Alex is the Head of Engineering at Thinking Machines leading platform and infrastructure including Tinker, having previously spent nearly 14 years at Meta

Yijia Shao

Thinking Machines

Yijia is a PhD student at Stanford and was the first intern at Thinking Machines, working on human-agent collaboration

VS Chandra Mourya

Together AI

VS Chandra is an ML engineer on the core inference team at Together AI building high-performance LLM inference engines

Sandeep Routray

Skild AI

Sandeep is a member of the technical staff at Skild AI building robotics foundation models, having researched robot learning from human videos at Carnegie Mellon

Olivier G

Traversal

Olivier is a member of the technical staff at Traversal

Nathan VanBenschoten

Turbopuffer

Nathan is the Chief Architect at turbopuffer, having previously been a principal software engineer at Cockroach Labs

Valyo Yolovski

Vanta

Valyo is a senior software engineer at Vanta and tech lead on the AI product team for vendor risk management

Zixuan Huang

World Labs

Zixuan is a member of the technical staff at World Labs working on 3D generation and world models, having previously been a research scientist at Meta Reality Labs

Leon Bi

xAI

Leon is a member of the technical staff at xAI who helped build the Grok Imagine API, having previously worked at Databricks

William Fu

xAI

William works on applied AI at xAI and previously helped release the Moderation 11B VLM multimodal model

Lauren Tan

xAI

Lauren is a principal engineer at xAI building the client framework for Grok Bot, having previously spent six years on the React team at Meta

Aneesh Vathul

xAI

Aneesh is a student at Stanford and a member of the technical staff at xAI

Wei-Lin Pai

Amazon

Wei-Lin is a member of the technical staff at Amazon Frontier AI & Robotics building the simulation stack for robot foundation models

Theodora Chu

Anthropic

Theodora is a product manager at Anthropic who helped launch Model Context Protocol (MCP), and previously founded an AI startup

Siddharth Bidasaria

Anthropic

Siddharth is the founding engineer and tech lead of Claude Code at Anthropic, having previously worked on the options team at Robinhood

Felix Rieseberg

Anthropic

Felix is an engineering manager at Anthropic who created Claude Cowork, having previously led engineering teams at Notion, Stripe, and Slack

Carl Osborne

Apple

Carl is a student at MIT and was a rendering engineer intern at Apple on the Motion team

Margaret Qian

Applied Compute

Margaret is the Infrastructure Lead at Applied Compute building systems to train and serve frontier models

Kevin Li

Applied Intuition

Kevin is an ML engineer at Applied Intuition working on autonomy foundation model post-training

Madhav Bhat

Applied Intuition

Madhav is a software engineer at Applied Intuition helping customers deploy its physical AI products

Philip Kiely

Baseten

Philip works on special projects at Baseten, having joined as its tenth employee, and authored the book Inference Engineering

Samiksha Pal

Baseten

Samiksha is a software engineer at Baseten building model deployment and inference infrastructure, having joined as its first new grad hire

Danny Geisz

Chai Discovery

Danny is a founding AI scientist at Chai Discovery building frontier AI to predict and reprogram molecular interactions

Amogh Dhumal

Citadel

Amogh is a software engineer at Citadel Securities

Nina Boord

Cogent Security

Nina is the founding forward deployed engineer at Cogent Security, having previously worked on autonomous vehicle safety at Nuro

Jia Wu

Cognition

Jia is the team lead for deployed engineering at Cognition, having previously worked in deployed engineering at Windsurf

Carlo Baronio

Cognition

Carlo is a research engineer at Cognition working on reinforcement learning for its SWE model family, having previously been a researcher at Stanford

Sara Xiang

Cognition

Sara is a product manager at Cognition, having previously worked at Scale AI

Brian Lu

Cognition

Brian is a member of the technical staff at Cognition

Michael Dalton

Console

Michael is a software engineer at Console building an AI-native platform for IT service management

Charlie Snell

Cursor

Charlie is a research scientist at Cursor training frontier coding agents, having previously researched test-time compute scaling during his PhD at UC Berkeley

Kevin Huang

Decagon

Kevin is a member of the technical staff at Decagon, having previously been a software engineer at Roblox

Winnie X

Deepmind

Winnie is a research scientist at DeepMind working on reinforcement learning and agentic reasoning for Gemini, having previously been founding research staff at Contextual AI

Alex Goodison

ElevenLabs

Alex is a forward deployed engineer at ElevenLabs deploying voice AI for enterprise customers, and previously founded Homeplan

Aneri Amin

ElevenLabs

Aneri leads product and growth for ElevenCreative at ElevenLabs, launching the Voice and Music Marketplaces

Sumer Sao

Etched

Sumer works on special projects at Etched, having previously been a founding engineer at Kalshi

Shreyas Sreenivas

Exa

Shreyas is a founding engineer at Exa building its Rust vector database and web-scale search infrastructure

David Vendrow

Factory

David is a founding member of the technical staff at Factory, where he has worked since 2023

Batuhan T

Fal

Batuhan is the Head of Engineering at fal optimizing generative media inference, and is a Python core developer

Abhay Singhal

Factory

Abhay is a member of the technical staff at Factory building its coding agents and Factory Router

Madison Faulkner

Factory

Madison leads strategic initiatives at Factory, including the Factory Partner Network and The Factory Guild

Olivia Lee

Figure AI

Olivia is a senior AI engineer at Figure AI on the Helix team building models for humanoid robot manipulation

Yifan Xiao

Fireworks

Yifan is a founding software engineer at Fireworks AI leading its LLM fine-tuning and reinforcement learning engines

Yi Su

Fireworks

Yi is a member of the technical staff at Fireworks AI working on reinforcement fine-tuning and contributed to Ember-1, the first Fireworks-trained model

Amy Li

Glean

Amy is a senior software engineer at Glean building AI infrastructure and Health Agents, having previously worked at Nuro and Robinhood

Owen Lewis

Goodfire

Owen is a principal investigator at Goodfire working on interpretability research

Ben Hacking

Granola

Ben is a product manager at Granola focused on growth, having previously co-founded Arcane

Isabel Sieh

Harvey

Isabel is a software engineer at Harvey, having previously been a software engineer at Waymo

Lise Savard

Spacex

Lise is a software engineer at SpaceX, having previously interned at Facebook and Stripe

Aryan Goyal

Jane Street

Aryan is a software engineer at Jane Street, having previously interned there on fixed-income and order-flow systems

Lucas Baker

Jump Trading

Lucas is the Head of AI Research at Jump Trading leading its use of frontier models and agentic systems for quantitative research

Jinsub Hong

Kalshi

Jinsub is a product manager at Kalshi

Rainer Sainvil

Kalshi

Rainer is a founding engineer at Kalshi working across product and engineering since 2021

Di Qi

Legora

Di is a member of the technical staff at Legora and its first forward deployed engineer, embedding with law firm clients

Veer Mehta

Listen Labs

Veer is a student at UC Berkeley and interned on the engineering team at Listen Labs

Benjamin Hunsberger

Mercor

Benjamin is an applied AI team lead at Mercor and co-authored the AI Productivity Index (APEX) benchmark

Akul Datta

Mercor

Akul is a member of the technical staff at Mercor working on AI evaluation and code environments, including APEX-SWE

Jack Rae

Meta

Jack is an AI research scientist at Meta, having previously led pre-training and reasoning for Gemini at Google DeepMind

Lucile Saulnier

Mistral

Lucile is a lead research scientist at Mistral who contributed to Mistral 7B and Mixtral, having previously been a research engineer at Hugging Face

Daniel Shaar

Modal

Daniel is a member of the technical staff at Modal who led the effort to scale Modal to one million concurrent sandboxes

Deven Navani

Modal

Deven is a member of the technical staff at Modal building its serverless AI infrastructure

Alan Yu

Netic

Alan is an engineer at Netic building AI for home services businesses, having previously worked at Scale AI

Stephen Wu

Notion

Stephen is a tech lead manager at Notion leading the Primitive Foundations team, having previously worked on the databases platform

Benjamin Klieger

Nvidia

Benjamin is an engineering manager at Nvidia building frontier coding agent systems, having previously been Head of Agents at Groq

Ryan Chang

Long Lake / Clay

Ryan is a software engineer at Long Lake, and was previously at Clay building AI agents for GTM teams

Shashank Goyal

Open Router

Shashank is a founding engineer at OpenRouter, where he led its provider ecosystem

James Zhang

OpenAI

James is a member of the technical staff at OpenAI on the core ChatGPT engineering team, having previously worked at Notion and Stripe

Hanson Wang

OpenAI

Hanson is a member of the technical staff at OpenAI on the Codex team, post-training coding models including codex-1

Sauren Khosla

OpenEvidence

Sauren is a lead product engineer at OpenEvidence, having previously co-founded Amaro, which OpenEvidence acquired

Adithya Sanjay

Pace

Adithya is an applied AI software engineer at Pace, having previously spent nearly four years at Insight Partners

Krish Modi

Palantir

Krish is a student at the University of Waterloo and interned at Palantir working on agent infrastructure

Arunanshu Roy

Parallel

Arunanshu is a founding engineer at Parallel Web Systems, having been the company's first hire after Parag Agrawal

Carra Wu

Parallel

Carra is a product manager at Parallel Web Systems leading product for Index, having previously been an investing partner at a16z crypto

XuDong Wang

Physical Intelligence

XuDong is a member of the technical staff at Physical Intelligence leading its video-action model team, and is an incoming assistant professor at Duke

Liyiming Ke

Physical Intelligence

Liyiming is a member of the technical staff at Physical Intelligence who contributed to the pi0 and pi0.5 robot foundation models

Joshua Bambrick

Isomorphic Labs

Joshua is a principal research engineer at Isomorphic Labs, where he was one of its first researchers and contributed to AlphaFold 3

Matt Fan

Poetic

Matt is a software engineer at Poetic (formerly Forge) building AI that turns business rules into deterministic, auditable software

Martin Sit

Polymarket

Martin is a software engineer on the core product engineering team at Polymarket

Alex Stauffer

Ramp

Alex is the Co-Head of Ramp Labs, Ramp's applied AI research team behind Ramp Sheets

Whitney LaRow

Ramp

Whitney is a software engineer at Ramp, having previously co-founded Catch, where she was head of engineering

Alex Shevchenko

Ramp

Alex is the Head of Ramp Labs, Ramp's applied AI research team, which he co-founded and which built Ramp Sheets

Veeral Patel

Ramp

Veeral is a founding engineer at Ramp leading applied AI, including the launch of Ramp Router

Nancy Hung

Reflection AI

Nancy is a member of the technical staff at Reflection AI building model training infrastructure, having previously built the Finetuning API at MosaicML and Databricks

Brendan McLaughlin

Reflection AI

Brendan is a member of the technical staff at Reflection AI, having previously been a research engineer at Scale AI

Vaibhav Kumar

Replit

Vaibhav is a senior AI engineer at Replit working on inference and LLM integration

Pierre Cahuzac

Revolut

Pierre is a product leader at Revolut heading product for Revolut Business, having joined in 2019 as a product manager

Michael Lapadula

Rillet

Michael is an engineering manager at Rillet leading the integrations team, having previously led engineering teams at Stripe

Octavien Han

Rogo

Octavien is a member of the technical staff at Rogo building its AI platform for financial institutions

Nirvik Baruah

Sail Research

Nirvik is a member of the technical staff at Sail Research who co-developed Sailboxes, having previously worked at Jane Street

Kaz Hishida

Serval

Kaz is the founding engineer and first hire at Serval building its AI-native IT service management platform

Nat Meurer

Sierra

Nat is the General Manager, Public Sector at Sierra, having previously been Head of Agent Engineering

Danny Lee

Sierra

Danny is a software engineer at Sierra building agent development tools including Ghostwriter, having previously been a software engineer at Google and Meta

Shreya Shubhangi

Sierra

Shreya is a software engineer at Sierra, having joined through Sierra's acquisition of Takeoff and previously worked at Snorkel AI

Shikhar Bahl

Skild AI

Shikhar is a founding research scientist at Skild AI building general-purpose robot foundation models, having completed his PhD at Carnegie Mellon's Robotics Institute

Roman Ugarte

Spacex

Roman leads growth at SpaceX's AI team, where he launched Grok Bot, having previously been Head of Growth at Cursor

Hewitt McGaughey

Sunday Robotics

Hewitt is a firmware engineer at Sunday Robotics working on motor control for its home robot

Weimin Wang

Spacex

Weimin is a staff ML engineer at SpaceX, having previously worked on video foundation models at Character AI and ByteDance

Alexis Gendron

Tesla Optimus

Alexis is a senior robotics software engineer at Tesla Optimus developing embedded software for sensors and actuation

Sahil Jain

Tesla Optimus

Sahil is a senior Autopilot engineer at Tesla working on foundation and world models for Optimus

Luke Carlson

Thinking Machines

Luke is a member of the technical staff at Thinking Machines, having previously been a senior ML engineer at Apple

Alex Gartrell

Thinking Machines

Alex is the Head of Engineering at Thinking Machines leading platform and infrastructure including Tinker, having previously spent nearly 14 years at Meta

Yijia Shao

Thinking Machines

Yijia is a PhD student at Stanford and was the first intern at Thinking Machines, working on human-agent collaboration

VS Chandra Mourya

Together AI

VS Chandra is an ML engineer on the core inference team at Together AI building high-performance LLM inference engines

Sandeep Routray

Skild AI

Sandeep is a member of the technical staff at Skild AI building robotics foundation models, having researched robot learning from human videos at Carnegie Mellon

Olivier G

Traversal

Olivier is a member of the technical staff at Traversal

Nathan VanBenschoten

Turbopuffer

Nathan is the Chief Architect at turbopuffer, having previously been a principal software engineer at Cockroach Labs

Valyo Yolovski

Vanta

Valyo is a senior software engineer at Vanta and tech lead on the AI product team for vendor risk management

Zixuan Huang

World Labs

Zixuan is a member of the technical staff at World Labs working on 3D generation and world models, having previously been a research scientist at Meta Reality Labs

Leon Bi

xAI

Leon is a member of the technical staff at xAI who helped build the Grok Imagine API, having previously worked at Databricks

William Fu

xAI

William works on applied AI at xAI and previously helped release the Moderation 11B VLM multimodal model

Lauren Tan

xAI

Lauren is a principal engineer at xAI building the client framework for Grok Bot, having previously spent six years on the React team at Meta

Aneesh Vathul

xAI

Aneesh is a student at Stanford and a member of the technical staff at xAI

Section 07

Exceptional 100 / 2026

Methodology

Section 07

Methodology

To originate early-stage deals and improve our lens on talent, we perform necessary diligence and work to begin conversations with highly talented individuals at the earliest stages. In this annual exercise of the Exceptional 100, we are providing visibility into the initial phases of our process, by showcasing 100 current standout builders and high-impact contributors within hyper-growth enterprise companies.

Utilizing our iterative framework to discern which career characteristics determine strong product and technical talent, our internal tooling and systems enabled us to run further queries and prompts to select these individuals.

In addition to our framework, search criteria and parameters included, but were not limited to:

To originate early-stage deals and improve our lens on talent, we perform necessary diligence and work to begin conversations with highly talented individuals at the earliest stages. In this annual exercise of the Exceptional 100, we are providing visibility into the initial phases of our process, by showcasing 100 current standout builders and high-impact contributors within hyper-growth enterprise companies.

Utilizing our iterative framework to discern which career characteristics determine strong product and technical talent, our internal tooling and systems enabled us to run further queries and prompts to select these individuals.

In addition to our framework, search criteria and parameters included, but were not limited to:

Focus on engineering and product roles 

Experience and career trajectory 

Emerging technologies and internal high-impact infrastructure

Excluded current Pre-Seed and Seed

No educational institution-based prioritization within queries 

Excluded extended durations at managerial layer*

Examination of specific tenure at companies, based in part upon funding round/stage of growth

*While some of these exceptional individuals manage teams within their organizations, we want to reinforce that this exercise is intended to examine emerging talent and we sought not to be reliant on the basis of traditional, hierarchical titles within organizations.

In future years, as we expand our knowledge of global talent pools and markets, we hope to lend greater scope to our reports. We did not name any individuals at our existing portfolio companies as this exercise is intended to be an external study and observation. In leveraging public datasets, we acknowledge the risk that certain data which we evaluated and published may be outdated or inaccurate. For current employer/role we optimized for reporting within 60-90 day threshold. All data provided is as of September 15, 2026, at a 95% confidence level and with a margin of error of ±3% with regard to current day accuracy of the data set sampled.

Extra special thanks and gratitude to our summer 2026 interns: Victoria Mori, Grace Dean Benson , Alaap Nair, Ollie Boesch, Shai Lipton-Ferguson, and Michael Botti for all their work in making this publication possible!

In future years, as we expand our knowledge of global talent pools and markets, we hope to lend greater scope to our reports. We did not name any individuals at our existing portfolio companies as this exercise is intended to be an external study and observation. In leveraging public datasets, we acknowledge the risk that certain data which we evaluated and published may be outdated or inaccurate. For current employer/role we optimized for reporting within 60-90 day threshold. All data provided is as of August 25, 2025, at a 95% confidence level and with a margin of error of ±3% with regard to current day accuracy of the data set sampled.

We would love to know your thoughts and what you’ve found most insightful. 

Extra special thanks and gratitude to Sophia Hu, Vincent Huang, and Jack Griffin for all their work in making this publication possible!

About Exceptional

​Exceptional Capital invests in the next generation of foundational Enterprise Software in the US and globally at Pre-Seed and Seed. Our thematic and collaborative strategy takes advantage of a deep network across several diverse communities. We partner with the most ambitious entrepreneurs and aim to provide founders with confidence, capital, and credibility to realize their vision and build exceptional companies.

​Exceptional Capital invests in the next generation of foundational Enterprise Software in the US and globally at Pre-Seed and Seed. Our thematic and collaborative strategy takes advantage of a deep network across several diverse communities. We partner with the most ambitious entrepreneurs and aim to provide founders with confidence, capital, and credibility to realize their vision and build exceptional companies.

Exceptional Capital © 2026 Exceptional Capital and the Exceptional Capital logo are trademarks of Exceptional Capital. All Rights Reserved.

The information on this website is not a solicitation of an offer to sell or purchase an interest in any investment fund or vehicle, nor of any provision of investment management or advisory services.

Exceptional Capital © 2026 Exceptional Capital and the Exceptional Capital logo are trademarks of Exceptional Capital. All Rights Reserved.

The information on this website is not a solicitation of an offer to sell or purchase an interest in any investment fund or vehicle, nor of any provision of investment management or advisory services.

Exceptional Capital © 2026 Exceptional Capital and the Exceptional Capital logo are trademarks of Exceptional Capital. All Rights Reserved.

The information on this website is not a solicitation of an offer to sell or purchase an interest in any investment fund or vehicle, nor of any provision of investment management or advisory services.