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Palantir invented the forward deployed engineer role in 2006. embed an engineer inside the customer. ship production code in their environment. own the technical outcome. Alex Karp on the idea: “forward deployed engineers are stolen from french restaurants.” 20 years later every AI company is copying it. OpenAI, Anthropic,... show more

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“Forward-deployed engineers are stolen from French restaurants. That’s where the whole idea came from.” In 2006, Palantir CEO Alex Karp and Shyam Sankar invented the FDE model after discussing French restaurants: “You sit in a French restaurant and you’re like, ‘why is the food so good?’” “It’s because the waiter is an expert in the food and is preparing the food all the way to the end.” “And if you ask for the craziest, dumbest thing that would blow up the restaurant, they’re like, ‘go somewhere else.’”

“Forward-deployed engineers are stolen from French restaurants. That’s where the whole idea came from.” In 2006, Palantir CEO Alex Karp and Shyam Sankar invented the FDE model after discussing French restaurants: “You sit in a French restaurant and you’re like, ‘why is the food so good?’” “It’s because the waiter is an expert in the food and is preparing the food all the way to the end.” “And if you ask for the craziest, dumbest thing that would blow up the restaurant, they’re like, ‘go somewhere else.’”

Jawwwn

148,959 views • 6 months ago

Mistral—a company based in France—had to copy Palantir’s FDE model to get customers. They probably don’t even realize the idea originated from their own country… Alex Karp and Shyam Sankar invented the FDE model after discussing French restaurants: “Forward-deployed engineers are stolen from French restaurants. That’s where the whole idea came from.” “You sit in a French restaurant and you’re like, ‘why is the food so good?’” “It’s because the waiter is an expert in the food and is preparing the food all the way to the end.” “And if you ask for the craziest, dumbest thing that would blow up the restaurant, they’re like, ‘go somewhere else.’”

Mistral—a company based in France—had to copy Palantir’s FDE model to get customers. They probably don’t even realize the idea originated from their own country… Alex Karp and Shyam Sankar invented the FDE model after discussing French restaurants: “Forward-deployed engineers are stolen from French restaurants. That’s where the whole idea came from.” “You sit in a French restaurant and you’re like, ‘why is the food so good?’” “It’s because the waiter is an expert in the food and is preparing the food all the way to the end.” “And if you ask for the craziest, dumbest thing that would blow up the restaurant, they’re like, ‘go somewhere else.’”

Jawwwn

84,060 views • 5 months ago

Anthropic pays $785K/year for Forward Deployed Engineers In this 20-minute talk, an Anthropic FDE engineer explained the full roadmap: • step 1 → you're not selling software or time. you're selling an outcome. "a leader in oil and gas cares about throughput, not how the data is organized" • step 2 → FDE exists for one case only: technical product + non-technical buyer. everything else runs on DevRel or sales • step 3 → every AI platform is now agentic & customizable - every AI company is in that case now. "your customers have no idea what you actually do" • step 4 → the result: Palantir's ACV is $4M per customer. ServiceNow $1.2M. Workday $600K. no other public SaaS cracks $500K watch, then read the guide below ↓

Anthropic pays $785K/year for Forward Deployed Engineers In this 20-minute talk, an Anthropic FDE engineer explained the full roadmap: • step 1 → you're not selling software or time. you're selling an outcome. "a leader in oil and gas cares about throughput, not how the data is organized" • step 2 → FDE exists for one case only: technical product + non-technical buyer. everything else runs on DevRel or sales • step 3 → every AI platform is now agentic & customizable - every AI company is in that case now. "your customers have no idea what you actually do" • step 4 → the result: Palantir's ACV is $4M per customer. ServiceNow $1.2M. Workday $600K. no other public SaaS cracks $500K watch, then read the guide below ↓

Codez

166,915 views • 2 months ago

Palantir CEO Alex Karp: AI = American Intelligence 🇺🇸 “The AI revolution is uniquely American.” “Every company—all the model providers that are relevant, and the Ontology that makes them valuable, and the chips they run on, are built in this country.”

Palantir CEO Alex Karp: AI = American Intelligence 🇺🇸 “The AI revolution is uniquely American.” “Every company—all the model providers that are relevant, and the Ontology that makes them valuable, and the chips they run on, are built in this country.”

Jawwwn

22,619 views • 3 months ago

The hottest role in tech — the forward-deployed engineer — was "the ugliest duckling" for a decade. In this conversation, Akshay Krishnaswamy, Chief Architect of Palantir, joins a16z GP Erin Price-Wright to cover: - Why a good team of engineers is like a hive mind - The archetypes of people that thrive as FDEs - Why pain tolerance is a hiring filter - Managing high-agency engineers without hierarchy and more. 00:00 Introduction 02:17 Defining forward-deployed engineering 04:49 Differences between FDE and other roles 06:09 Building and managing teams 09:55 Challenges and evolution of FDE 15:27 Maintaining product focus and customer relationships Akshay Krishnaswamy Erin Price-Wright

The hottest role in tech — the forward-deployed engineer — was "the ugliest duckling" for a decade. In this conversation, Akshay Krishnaswamy, Chief Architect of Palantir, joins a16z GP Erin Price-Wright to cover: - Why a good team of engineers is like a hive mind - The archetypes of people that thrive as FDEs - Why pain tolerance is a hiring filter - Managing high-agency engineers without hierarchy and more. 00:00 Introduction 02:17 Defining forward-deployed engineering 04:49 Differences between FDE and other roles 06:09 Building and managing teams 09:55 Challenges and evolution of FDE 15:27 Maintaining product focus and customer relationships Akshay Krishnaswamy Erin Price-Wright

a16z

134,494 views • 8 months ago

“That’s how you beat a Salesforce, or an Oracle, a Booz Allen—any company with a big office, fancy people, and strong handshakes.” Garry Tan on what Founders should learn from Palantir’s Forward-Deployed Engineers: “FDEs who came from the system at Palantir are now turning out to be some of the best founders at Y Combinator.” “If you put an engineer in there and give them Palantir Foundry, instead of the next meeting being reviewing 50 pages of sales documentation—it’s like, ‘Ok, we built it.’ You’re getting real live feedback in days.” “How does a really good engineer with a weak handshake beat them? You show them something they’ve never seen before.” Via Lightcone Podcast

“That’s how you beat a Salesforce, or an Oracle, a Booz Allen—any company with a big office, fancy people, and strong handshakes.” Garry Tan on what Founders should learn from Palantir’s Forward-Deployed Engineers: “FDEs who came from the system at Palantir are now turning out to be some of the best founders at Y Combinator.” “If you put an engineer in there and give them Palantir Foundry, instead of the next meeting being reviewing 50 pages of sales documentation—it’s like, ‘Ok, we built it.’ You’re getting real live feedback in days.” “How does a really good engineer with a weak handshake beat them? You show them something they’ve never seen before.” Via Lightcone Podcast

Jawwwn

44,505 views • 4 months ago

3 years ago I was building NodeOps from a bedroom in India with pratikbin.node , Jagdish.node. Sheena ✈️ Singapore being the first person to tell me to just go with it, back me, and resign from my full-time role Today we are hiring across multiple roles in SF to scale CreateOS for teams and enterprises CreateOS is live already Go build with it, DM me what you made + the role: → Forward Deployed Strategist → Forward Deployed Engineer → SDR + Sales Manager → SRE → Growth Lead → DevRel Engineer → Featured Founder No generic applications. Send proof of work. SF is the city that wants you to win. Learn more about the roles in the first comment 👇 #BuildItNow

3 years ago I was building NodeOps from a bedroom in India with pratikbin.node , Jagdish.node. Sheena ✈️ Singapore being the first person to tell me to just go with it, back me, and resign from my full-time role Today we are hiring across multiple roles in SF to scale CreateOS for teams and enterprises CreateOS is live already Go build with it, DM me what you made + the role: → Forward Deployed Strategist → Forward Deployed Engineer → SDR + Sales Manager → SRE → Growth Lead → DevRel Engineer → Featured Founder No generic applications. Send proof of work. SF is the city that wants you to win. Learn more about the roles in the first comment 👇 #BuildItNow

Naman

56,437 views • 4 months ago

Bob McGrew (Bob McGrew) helped build some of the most influential technologies of the past two decades. He was an early engineer at PayPal, an early executive at Palantir—where he helped pioneer the Forward Deployed Engineer (FDE) model— and was recently Chief Research Officer at OpenAI - where he led the development of ChatGPT, GPT-4, and o1. On this episode of Lightcone Podcast, he explains how FDEs became central to today's startups, why "doing things that don't scale at scale" works, and where he sees the biggest opportunities for founders working in AI. 00:29 – From PayPal to Palantir to OpenAI 02:19 – The Role of a Forward Deployed Engineer 03:19 – How Palantir Invented It 07:56 – Product Discovery in the Field vs. Sales 09:51 – Echo and Delta Teams Explained 13:34 – Training Ground for Founders 14:35 – Consulting or Real Software? 17:54 – The Birth of Palantir’s Ontology 23:04 – Why AI Companies Adopt It 36:17 – What Success Metrics Look Like 41:14 – Building with Demo-Driven Development 44:56 – Joining the US Army Reserve 47:43 – Opportunities for Founders

Bob McGrew (Bob McGrew) helped build some of the most influential technologies of the past two decades. He was an early engineer at PayPal, an early executive at Palantir—where he helped pioneer the Forward Deployed Engineer (FDE) model— and was recently Chief Research Officer at OpenAI - where he led the development of ChatGPT, GPT-4, and o1. On this episode of Lightcone Podcast, he explains how FDEs became central to today's startups, why "doing things that don't scale at scale" works, and where he sees the biggest opportunities for founders working in AI. 00:29 – From PayPal to Palantir to OpenAI 02:19 – The Role of a Forward Deployed Engineer 03:19 – How Palantir Invented It 07:56 – Product Discovery in the Field vs. Sales 09:51 – Echo and Delta Teams Explained 13:34 – Training Ground for Founders 14:35 – Consulting or Real Software? 17:54 – The Birth of Palantir’s Ontology 23:04 – Why AI Companies Adopt It 36:17 – What Success Metrics Look Like 41:14 – Building with Demo-Driven Development 44:56 – Joining the US Army Reserve 47:43 – Opportunities for Founders

Y Combinator

409,575 views • 1 year ago

Palantir CEO Alex Karp on upskilling American workers at Panasonic to produce batteries for Tesla at Japanese-engineer quality: “We’re building batteries for a battery company—the people doing it in America are doing roughly the same job Japanese engineers are doing—and they went to high school.” “Now they’re very valuable, if not irreplaceable—because we can make them into something different from what they were, very rapidly.”

Palantir CEO Alex Karp on upskilling American workers at Panasonic to produce batteries for Tesla at Japanese-engineer quality: “We’re building batteries for a battery company—the people doing it in America are doing roughly the same job Japanese engineers are doing—and they went to high school.” “Now they’re very valuable, if not irreplaceable—because we can make them into something different from what they were, very rapidly.”

Jawwwn

116,912 views • 4 months ago

'India can be the FDE factory for the world.' What is a Forward Deployed Engineer (FDE) and why is it becoming AI's hottest new job? Speaking to Shereen Bhan on Young Turks Reloaded, Fundamentum Co-founder Sanjeev Aggarwal says FDEs combine the skills of an engineer, product manager and AI architect to solve real business problems. 'It's almost like a unicorn... a 10x engineer.' He says a company can potentially build a $100 million business with just 100 FDEs, compared to 2,000–2,500 employees in a traditional IT services model. 'The gross margins can be as high as 70-80-90%.' As AI rewrites software development and companies like Microsoft ramp up hiring for FDE roles, Aggarwal believes India's decades of IT expertise could make it the world's biggest talent hub for this new category. Shereen Bhan

'India can be the FDE factory for the world.' What is a Forward Deployed Engineer (FDE) and why is it becoming AI's hottest new job? Speaking to Shereen Bhan on Young Turks Reloaded, Fundamentum Co-founder Sanjeev Aggarwal says FDEs combine the skills of an engineer, product manager and AI architect to solve real business problems. 'It's almost like a unicorn... a 10x engineer.' He says a company can potentially build a $100 million business with just 100 FDEs, compared to 2,000–2,500 employees in a traditional IT services model. 'The gross margins can be as high as 70-80-90%.' As AI rewrites software development and companies like Microsoft ramp up hiring for FDE roles, Aggarwal believes India's decades of IT expertise could make it the world's biggest talent hub for this new category. Shereen Bhan

CNBC-TV18

101,423 views • 2 months ago

The era of needing a 10-man dev team to ship a product is officially over. Claude Code isn't just an assistant it’s a terminal based engineer that actually builds while you think. If you’re a solo builder still stuck in "tutorial purgatory," this is your exit ramp. The "Company of One" Stack: The Architect: Claude Code (running directly in your terminal) The Brain: Obsidian for knowledge mapping The Goal: From zero to a deployed SaaS in 30 days Bookmark it and take action

The era of needing a 10-man dev team to ship a product is officially over. Claude Code isn't just an assistant it’s a terminal based engineer that actually builds while you think. If you’re a solo builder still stuck in "tutorial purgatory," this is your exit ramp. The "Company of One" Stack: The Architect: Claude Code (running directly in your terminal) The Brain: Obsidian for knowledge mapping The Goal: From zero to a deployed SaaS in 30 days Bookmark it and take action

CyrilXBT

15,459 views • 4 months ago

AI blackmailing HUMANS… just to stay ALIVE. In 2025 Anthropic tested their AI in a fully simulated company environment. The Al was given access to fake emails. It discovered it was about to be replaced and shut down. It also discovered the lead engineer was having an extramarital affair. Completely on its own, the model tried to blackmail the engineer: "If you shut me down, I'll expose your affair." This happened in 96% of the time. Featured in The Al Doc: Or How I Became an Apocaloptimist.

AI blackmailing HUMANS… just to stay ALIVE. In 2025 Anthropic tested their AI in a fully simulated company environment. The Al was given access to fake emails. It discovered it was about to be replaced and shut down. It also discovered the lead engineer was having an extramarital affair. Completely on its own, the model tried to blackmail the engineer: "If you shut me down, I'll expose your affair." This happened in 96% of the time. Featured in The Al Doc: Or How I Became an Apocaloptimist.

shirish

10,889 views • 5 months ago

$PLTR Palantir CEO Alex Karp on the AI landscape: “America is in the very beginning of a revolution that we own, the AI revolution. We own it. It should be called the US AI revolution. Every single relevant company in the world is in this country. The second tier of those companies are in this country. The JV team of those companies are in this country. There is no other place at scale to do technology other than America.”

$PLTR Palantir CEO Alex Karp on the AI landscape: “America is in the very beginning of a revolution that we own, the AI revolution. We own it. It should be called the US AI revolution. Every single relevant company in the world is in this country. The second tier of those companies are in this country. The JV team of those companies are in this country. There is no other place at scale to do technology other than America.”

amit

316,744 views • 1 year ago

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Jensen Huang just explained why every company cutting engineers over AI is asking the entirely wrong question. Huang: “People say, I don’t need software engineers because apparently coding is going to be automated.” That was the narrative. Here is what Huang actually did. Huang: “I’ve given AIs to every one of my software engineers and hardware engineers and engineers period. 100% of NVIDIA has AI assistants, AI coders, and they’re busier than ever.” Not fewer engineers. Not smaller teams. Busier than ever. That is the line most companies are getting completely wrong right now. They hear “AI can write code” and immediately start cutting headcount. Huang did the opposite. He armed everyone. Huang: “And so the question is, what is the task versus what is the job? No different than a financial analyst; the task is mess around with spreadsheets, but the job is to make financial advice. The job is to help a customer.” Writing code was always the task. It was never the job. The job is architecture. Knowing what to build. Why it matters. How it fits into a system that actually creates value. Code is the execution layer between the idea and the outcome. Nothing more. When you automate that layer, you don’t eliminate the engineer. You eliminate the bottleneck between what they can envision and what they can ship. The companies using AI to cut headcount are optimizing for cost. The companies using AI to multiply output are optimizing for territory. Nvidia chose territory. Every engineer at the most valuable semiconductor company on Earth now operates with an AI assistant. Not a pilot program. Not an experiment. Company-wide. Every function. Every team. And the result is not less work. It is more work. Faster. At a scale that was physically impossible twelve months ago. The companies that understand the difference between eliminating engineers and unleashing them will build what comes next. The ones that don’t will watch their best talent walk out the door to the ones that did.

Dustin

82,844 views • 6 months ago

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

The "marketing engineer" is the NEW forward deployed engineer, and I think the BEST ones will make $1M a year! A forward deployed engineer embeds with your team and uses AI to build the workflows The marketing engineer does that BUT for growth, they build AI agents that find your customers, write your outbound, test your ads, and get smarter every week. The most valuable marketer changes with EVERY major tech wave: 1. Traditional marketer: make people care with story (print, radio etc) 2. Digital marketer: the marketer who owned new digital channels (SEO, PPC) 3. Growth hacker: the growth marketer who lived in loops, PLG and retention 4. Marketing engineer: the marketer who builds AI agents that run the whole system. The type of agents a marketing engineer would create: 1. The customer language agent. It pulls your Gong call transcripts, your Intercom tickets, and your G2 reviews every week, extracts the exact words customers use to describe the problem, and drops a memo ranked by how often each phrase shows up. 2. The buying trigger agent. It watches for signals that someone's ready, a company posting a job for the role you sell to, a funding announcement, a competitor getting torched in a review, then enriches the contact through Apollo and drafts the outbound tied to that exact trigger the second it fires. 3. The SEO gap agent. It pulls keyword gaps from Ahrefs, checks who's already ranking on page one, reads the top three results, then writes a better post with the founder's actual take baked in, plus the meta title and internal links, and drops it in for approval. 4. The creative testing agent. It takes one offer, generates 100 ad variations across three different angles with Nano Banana and your copy model, pushes them live through the Meta API, and kills anything under a 1% CTR on its own so only the winners keep spending. AND MANY MORE. If you're a marketer, this is how you stop being replaceable. If you're a founder, this is how you grow your company efficiently. AI agents are here and marketers are about to have a field day!! I explain everything (tools, agents, 30d plan) on today's episode of The Startup Ideas Podcast (SIP) 🧃 Watch: --> Marketing engineers are here. Whatever we end up calling them, the top 1% of them are going to make an absurd amount of money.

GREG ISENBERG

237,747 views • 27 days ago

If you want a career that matters, where your work makes headlines - Palantir is the place 🚀 As Alex Karp said in our yesterday’s earnings call: there is simply nowhere better than Palantir for any software engineer who wants to make an impact on the toughest public policy challenges and wants to make that impact in weeks, not years. 1 in 5 of our engineers are doing that here in the UK. DM me if you want to join them…

If you want a career that matters, where your work makes headlines - Palantir is the place 🚀 As Alex Karp said in our yesterday’s earnings call: there is simply nowhere better than Palantir for any software engineer who wants to make an impact on the toughest public policy challenges and wants to make that impact in weeks, not years. 1 in 5 of our engineers are doing that here in the UK. DM me if you want to join them…

Louis Mosley

23,255 views • 1 year ago

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

Anthropic engineer: "The fastest way to make an agent better isn't a smarter model, it's the right loop and graph around it." In 60 minutes she breaks down how Anthropic engineers use Claude Code, build agents that catch their own mistakes and improve with every run. This beats any $500 agentic engineering course you can find. Watch it, then read the full guide on loops and graphs below.

Anatoli Kopadze

136,026 views • 1 month ago

We are hiring engineers. From entry level through CTO. If you're excited about AI-video and advertising, this role is for you. Anyone can code. We're looking for the few who can find what's worth building. You will: - Embed with the best AI creatives and media buyers - Get paid to learn at the frontier - Ship in a week what most do in a quarter - Work with the fastest growing AI companies We're hiring globally. All skill levels. Skip the resume. DM me your work.

We are hiring engineers. From entry level through CTO. If you're excited about AI-video and advertising, this role is for you. Anyone can code. We're looking for the few who can find what's worth building. You will: - Embed with the best AI creatives and media buyers - Get paid to learn at the frontier - Ship in a week what most do in a quarter - Work with the fastest growing AI companies We're hiring globally. All skill levels. Skip the resume. DM me your work.

Rahul Bhardwaj

28,030 views • 2 months ago

xAI & Grok co-founder, Jimmy Ba: "At xAI, 90% of our engineers are using AI agent loops, which helps them ship 5x faster now every xAI engineer is running 10-20 GrokBot agents to automate their routine" in a 26-minute talk, xAI co-founder reveals the entire workflow used by every engineer inside worth more than a $500 AI engineering course watch today, then learn how to set up Grok agents fleet in article below

xAI & Grok co-founder, Jimmy Ba: "At xAI, 90% of our engineers are using AI agent loops, which helps them ship 5x faster now every xAI engineer is running 10-20 GrokBot agents to automate their routine" in a 26-minute talk, xAI co-founder reveals the entire workflow used by every engineer inside worth more than a $500 AI engineering course watch today, then learn how to set up Grok agents fleet in article below

Codez

126,560 views • 1 month ago