About
Over the past 15 years, I have had an accelerated career path and have been privileged to…
Services
Articles by Neej
Activity
13K followers
-
Neej Parikh shared this🎉 Excited to launch Dockmates - my fun AI weekend project - https://dockmates.xyz/ I've always found myself to be a combination of a builder and an executor. Even from my early days in sales, building pitch decks, attractive customer facing assets, pricing strategies, highly customized and beautifully designed business cases, was always interesting to me. And ofcourse leveraging all those to drive millions of dollars of revenue for the business. The builder and executor drive has been ingrained in me from the early days. Now with the AI era, the ability of building something to getting an outcome is INSANELY quick and highly gratifying. I was inspired by Mathias Biilmann Christensen, CEO at Netlify, who is building an app every day for the next 30 days after announcing Netlify's recent big launch of becoming a One Stop Shop. So I also decided to build something fun, interesting, challenging and also useful - as midnight oil burner project. So I built Dockmates - https://dockmates.xyz/ Dockmates are your AI screen companions that hang on top of your MacBook dock and are always available to help with any tasks or questions you have. So, they don't only just look cool, but are pretty darn helpful. For those of you who remember the cute Sheep application on your windows PC or the purple baby gorilla called BonziBuddy that just hung around your screen and danced and shared some jokes from time to time, you'll enjoy this. It was always a fascinating to have a cute little mate hanging around my screen, partially distracting me. Currently, there's a selection of three cool Dockmates named Swaggy, Guy Smoke, and Beard-O, who all have their own personality, and two of them can hang on the dock with you at any time. This whole process was gratifying for many reasons. The biggest gratification was the art of possible in such a short time frame. And the second biggest one is reliving some of the old PC memories :) Although really, I embarked on the project to see how I could incorporate a bunch of the modern AI stack, integrations, skills, and learnings, such as: -Building an application for Mac vs. a webapp -Leveraging Claude code to build and for the end user to use with Dockmates -Deploying effortlessly on Netlify -Integrating AI into the product itself -Integrating Stripe (not actually trying to make money on it, but learning the process one has to go through to set it up and collect revenue) -Spinning up a website to have folks also play around with it Check it out and hope you have some fun with it - https://dockmates.xyz/ Curious to see what questions you ask your dockmates. … now back to the day job! #dockmates #fun #ai
-
Neej Parikh shared thisYes, complete skin in the game. The business model is built on success driven for our clients.Neej Parikh shared thisMany founders have tried offshoring. And most have been burned. On paper, it looks great: - Lower costs - Flexible headcount - 24/7 coverage In reality? It often feels like this: • Talent looks strong on paper, struggles in execution • Communication gaps slow everything down • No ownership — just task completion • Cultural misalignment with how fast startups actually move • Old BPO style model So what happens? You end up re-doing the work internally. Or worse — your best operators become managers instead of builders. At that point, you didn’t reduce cost. You just shifted complexity. The problem isn’t offshore talent. The problem is how it’s been structured for decades. Traditional outsourcing was built for: • Scripts • Repetition • Large enterprises Not for: • Speed • Ambiguity • High-growth startups What’s emerging now is a different model. An operator-led approach to global teams. Where the focus is: - Talent quality (not just cost) - People who can think, not just execute - Speed and ownership - Teams that move at startup pace - Cultural alignment - Real support from local teams to drive onboarding, integration, and long-term success Bridging how Silicon Valley operates with global execution, because the real challenge isn’t hiring offshore. It’s making offshore feel like your core team. At Exordiom, that’s exactly what we’ve built. Not outsourcing. Not shared services. But performance-driven global teams designed the way operators actually need them. The difference shows up quickly: • Strong alignment with client requirements = fast hiring • Faster ramp • Higher output • Less management overhead • Real ownership • Skin-in-the-game pricing model The best companies aren’t asking: “Should we offshore?” They’re asking: “How do we build global teams that actually perform?” That’s the shift. And we're powering it. #Exordiom #OffshoreTalent #StartupOperators #GlobalTeams #AIteams
-
Neej Parikh shared thisHad an incredible evening with Alvina last week — thank you for hosting and bringing everyone together for such a meaningful cause! Got to spend time learning about BUILD, an amazing organization teaching entrepreneurship to underserved high school students and giving them real tools to build their futures. The best part? Meeting some of the alumni and hearing firsthand about the incredible things they've gone on to achieve. Truly inspiring. Second best part? Running into friends and colleagues from almost 2 decades ago participating in such a great cause. We at Exordiom were proud to be a part of it and happy to donate to the cause. Organizations like BUILD are doing the work that actually moves the needle — investing in young people and showing them what's possible.
-
Neej Parikh shared thisSomething interesting is happening across the AI startup ecosystem. Products are scaling faster than the teams behind them. Look at companies like Replit and Lovable. A new feature launches… Users flood in… DAU and MAU spike. But something else spikes too. Support tickets!!! Not engineering problems — human ones: • Billing issues • Account provisioning • API usage questions • Security reviews • Tier-2 / Tier-3 triage • Enterprise onboarding And suddenly your $250k engineers are answering Zendesk tickets. Forums help. AI bots help. But when a customer’s billing breaks or their production app fails, they want a human. The problem? You can’t hire operational teams fast enough locally. 1. Hiring takes months. 2. Growth happens in days. So, the smartest scaling companies are changing the model. Instead of trying to build everything in one local geo, they are deploying global operational teams that can scale instantly. -Support. -RevOps. -Customer success. -Technical triage. The Philippines and India in particular has become two of the most powerful ecosystems for this — combining deep SaaS experience, strong English fluency, and the ability to scale teams quickly. The result: • Engineers build product • Customers get fast human support • Companies scale without operational bottlenecks The next decade of startup winners won’t just build better AI. They’ll build better global operating models. At Exordiom, we’re helping companies design those teams — across customer support, engineering, RevOps, customer success, data labelers, and AI/ML — so growth never outruns operations. Because the fastest-scaling companies in the world all discover the same thing: Infrastructure scales instantly. Teams usually don’t. Unless you design them that way. Full write up in my article! Check it out and LMK thoughts. #exordiom #AIscale #offshore #talentagencyThe Hidden Scaling Problem in AI Startups: When DAU Explodes Faster Than Your TeamThe Hidden Scaling Problem in AI Startups: When DAU Explodes Faster Than Your Team
-
Neej Parikh posted thisThe AI race is creating a new bottleneck: 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗰𝗮𝗽𝗮𝗰𝗶𝘁𝘆. (Which is ironic given the popular belief that AI will eliminate jobs.) Inside AI labs and AI-native companies, the opposite is happening. To train, refine, and operationalize modern models, these companies suddenly need dozens — sometimes hundreds — of software engineers working on things like: • model evaluation • data pipelines • reinforcement learning feedback loops • agent infrastructure • production deployment and monitoring And they need these engineers now. Not after a 9-month hiring cycle. Not after building a recruiting department. Now. But most AI companies are running into the same structural problem: They’re not built to hire at this scale. AI labs are designed to research models and ship breakthroughs. They’re not designed to run global recruiting engines capable of hiring hundreds of engineers quickly. To do that well requires: • sourcing thousands of candidates • running technical screening at scale • coordinating interviews across time zones • managing offers and compensation • handling international employment compliance That’s a real operational machine. And most AI companies don’t have it. At the same time, the U.S. market for strong software engineers is exploding in cost. Engineers working close to AI infrastructure can easily run $220K–$300K+ fully loaded once you factor in salary, equity, benefits, and recruiting costs. Multiply that across 50 or 100 hires, and even well-funded AI companies start feeling the pressure. This is why many of the fastest-moving teams are building global engineering capacity. The real challenge isn’t whether the talent exists. It’s whether companies can recruit and hire it fast enough. Finding one great engineer is hard. Building a pipeline capable of hiring 50–100 engineers quickly is an entirely different challenge. That’s where infrastructure matters. At Exordiom, we’ve spent years building global recruiting infrastructure specifically designed to solve this problem. Our teams source, vet, and hire high-quality engineers across major global talent hubs — particularly India and the Philippines — allowing companies to rapidly expand engineering capacity without building a recruiting engine from scratch. The result: • faster hiring velocity • dramatically lower cost structure • more engineering bandwidth focused on improving models The companies that win the AI race won’t just have the best models. They’ll have the engineering capacity to improve them faster than everyone else. And increasingly, that capacity is global. For AI labs trying to scale engineering teams from 10 to 100+ engineers, the real question isn’t whether the talent exists. It’s how quickly you can access it. 𝗧𝗵𝗮𝘁’𝘀 𝘁𝗵𝗲 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘄𝗲’𝘃𝗲 𝗯𝘂𝗶𝗹𝘁 𝗮𝘁 𝗘𝘅𝗼𝗿𝗱𝗶𝗼𝗺. #exordiom #talentINFRASTRUCTURE #scale
-
Neej Parikh posted thisEveryone says they’re “building AI capability.” Most are just stretching already-overloaded teams (90% of my conversations with C-Suite leaders over the last 2 weeks have validated this). TLDR; if you're looking to scale heads across AI Engineering, GTM Engineering, Data Engineering, and adjacent roles while staying within your budget constraints and getting experienced talent, DM me --- and read on. Here’s what’s actually happening inside scaling companies: 📌 The CEO wants transformation. 📌 The board wants an update on AI maturity 📌 The CIO wants ownership. But execution lands on: • A RevOps lead already drowning in Salesforce cleanup • A data engineer juggling five roadmaps • A support manager who can’t get clean reporting AI doesn’t stall because of vision. It stalls because no one has dedicated execution bandwidth. And here’s the uncomfortable truth: AI is not a side project. If it touches Sales, CS, Finance, Support, or Ops… you need real capacity inside those functions. Not one expensive “AI hire.” A team. The companies actually shipping are doing three things differently: 1. They deploy small embedded AI engineering pods aligned to revenue functions. 2. They tie every build to a (revenue potential or cost/time saved) 3. They iterate weekly, not quarterly. Project by project. Workflow by workflow. Measured in $ saved or $ generated. That execution layer is the real moat. Because once AI is embedded into daily operations — CRM scoring, QBR prep, ticket routing, contract review, approval flows — it compounds. Here’s where most companies hesitate: Hiring US-based AI engineers at $220K–$250K fully loaded — per head — makes it hard to justify multiple hires across functions. So they under-resource the transformation. And progress stalls. This is why global AI engineering is no longer about cost arbitrage. It’s about execution density. When you can deploy multiple experienced AI engineers embedded inside GTM, RevOps, and Support simultaneously — without the HR, compliance, or management burden — AI stops being a strategy slide. It becomes operating leverage. That’s the difference between talking about AI maturity and actually reaching it. The next 18 months won’t reward companies that announce AI initiatives. They’ll reward companies that quietly build execution capacity faster than competitors. If you’re serious about transformation, the real question isn’t: “Do we have AI strategy?” It’s: “Do we have enough execution bandwidth to ship it across functions?” That’s where momentum is won or lost. #Exordiom #AI
-
Neej Parikh reacted on thisIt's not an all AI or nothing approach in customer support. Customers still want to talk to humans, especially for complex or sensitive issues. A Five9 survey from March found that 86% of customers believe empathy and human connection are more important than a quick response in providing excellent customer experience. If you are a customer support or customer success leader looking to augment your AI strategy in post-sales with high-quality, AI-enabled talent, let’s have a discussion. https://lnkd.in/gtAtB2EdIt is not a all AI or Nothing strategy in Customer Support and SuccessIt is not a all AI or Nothing strategy in Customer Support and Success
-
Neej Parikh reacted on thisIt's not an all AI or nothing approach in customer support. Customers still want to talk to humans, especially for complex or sensitive issues. A Five9 survey from March found that 86% of customers believe empathy and human connection are more important than a quick response in providing excellent customer experience. If you are a customer support or customer success leader looking to augment your AI strategy in post-sales with high-quality, AI-enabled talent, let’s have a discussion. https://lnkd.in/gtAtB2EdIt is not a all AI or Nothing strategy in Customer Support and SuccessIt is not a all AI or Nothing strategy in Customer Support and Success
-
Neej Parikh shared thisIt's not an all AI or nothing approach in customer support. Our hyperscaling AI clients who are hiring thousands of people every six months also subscribe to this. Customers still want to talk to humans, especially for complex or sensitive issues. A Five9 survey from March found that 86% of customers believe empathy and human connection are more important than a quick response in providing excellent customer experience. DM me if you want to see how we are helping companies scale customer experienced support teams within 2 weeks from JD to "butt-in-seat" for a fraction of their current costs. #Exordiom #customersupport #csIt is not a all AI or Nothing strategy in Customer Support and SuccessIt is not a all AI or Nothing strategy in Customer Support and Success
Neej Parikh commented on a post
21h
Love this.
Neej Parikh commented on a post
3d
Sesh Tirumala & Ravin Checker - good to see you together discussing an ever-interesting topic!
Neej Parikh replied to a comment
1w
Vivek Punjabi haha love it! Daily reminder of Neej on your screen !
-
Neej Parikh liked thisNeej Parikh liked thisI've been playing around with creating apps recently as a means to better understand our product at Netlify and improve how we do things in the finance team. Yes it's taking some trial and error, but I love the fact that it's getting easier by the minute. This is the first app that I created a couple of months ago. We recently changed billing providers, and our only source for historical invoices was a google drive with unrecognizable invoice data. I created this app that searches a database of the invoices and returns a downloadable file. Yes, it's pretty basic, but it was a great first step in my journey. I truly believe that the future of finance isn't a combination of rigid legacy systems and flexible, but error prone spreadsheets, but a great middle where we can build customizable applications that meet our needs. Oh, and I spent probably an hour trying to work out how to blur the numbers in the app. Richard Terry-Lloyd and Steven McKillop told me to do an Agent Run, and 3 minutes later Demo Mode was fully built into the app! Blew my mind.
-
Neej Parikh liked this💸 Is your business quietly bleeding revenue without even knowing it? In this eye-opening podcast episode hosted by Ravin Checker, Sesh Tirumala, CIO at Western Digital, pulls back the curtain on one of the most underestimated challenges facing organizations today — revenue leakage. Sesh breaks down: ✅ How revenue leakage actually feels from the inside ✅ Where the leaks are coming from (and why they're so hard to spot) ✅ How to plug them — without leaving too many battle scars along the way This is a must-listen for CIOs, CFOs, operations leaders, and anyone who wants to protect the bottom line with both precision and pragmatism. 🎙️ Watch/listen here 👇 https://lnkd.in/gQFgtN96 #RevenueLeakage #CIO #DigitalTransformation #BusinessStrategy #LeadershipS1:E1 - #RevenueCheckpoint - Sesh Tirumala, CIO, Western Digital #RevenueAssurance #RevenueLeakageS1:E1 - #RevenueCheckpoint - Sesh Tirumala, CIO, Western Digital #RevenueAssurance #RevenueLeakage
-
Neej Parikh liked thisNeej Parikh liked thisWe’re building out our Recruiting Coordination team @ Cursor! Come join our incredible team here: Mike Joyner Anika Sawhney Mia Griffiths Valerie Joco Patty Koenigs Sam Massoni Sofie Johnson RCs play one of the most important roles in the entire recruiting process. They are the face of the company to candidates. They problem solve in real time and run serious calendar tetris. They stay close to the business and keep everything moving. It’s always one of the first roles I prioritize when building a recruiting team, because this is what makes the flywheel actually work. We’re looking for people who are smart, organized, and fun to work with. People who want to come in, build, and grow with us. Ideal background: • prior RC experience • or operations / EA experience • or any role where you’ve had to manage complexity, solve problems, and be candidate or customer facing We’re hiring in SF and NYC. Reach out or apply here: https://lnkd.in/gsMmQ3Wa https://lnkd.in/gVhtgpCd
-
Neej Parikh liked thisNeej Parikh liked thisHumans like Javeria Shah fuel our motivation to build Clay. She won the first Clay Cup and I got emotional just watching this. I bet you will too. She was born in Karachi, Pakistan, into a culture that told her not to pursue a career and to stay home and take care of her family. Where the community whispered, "Don't let your daughters sit with her. She will brainwash them!" Luckily for all of us, her parents didn't care about those norms. I never thought we'd get to tell stories like this, but over the past three years we've watched people cross war-torn borders to attend Clay Clubs and master hard-won skills. Pay off student debt 10x faster than planned. Finance weddings and buy homes through work built on Clay. And now Javeria, a 26-year-old in Karachi, just turned down a $150K job offer to build a GTM Engineering business with her husband. The biggest issue of our time is economic mobility. Our job is to help people like Javeria put their economic trajectories into their own hands. I'm so proud that Clay gets to play a small role in helping make that happen. Watch our love letter to Javeria👇
-
Neej Parikh reacted on thisNeej Parikh reacted on thisWith the Spring '26 semester coming to an end, I wanted to express immense gratitude to the wonderful guest lecturers in my Tech Transactions class at University of California, Hastings College of the Law (now UC Law San Francisco): - Our 1st guest was Todd Machtmes, General Counsel of Salesforce till 2025, who spoke about the importance of getting experience closing deals and building deep, collaborative relationships with Sales. - We then hosted Neal Suggs, VP of Legal at Google, who spoke about why financial literacy is a "must-have" for commercial lawyers to truly understand the financial (and not just business) drivers of any deal. - Finally, David Hornik, GP at August Capital + Founder of Lobby Capital, walked us through his incredible career and his experience with the power of generosity and how it's influenced his career. Thank you all for investing your time + wisdom in the next generation of tech lawyers!
-
Neej Parikh liked thisNeej Parikh liked thisWe ran the numbers on what it costs to build a 5-person engineering team. US-based: - 5 senior engineers x $185K avg = $925K/year in salary alone - Add benefits, equity, PTO overhead: $1.2–1.4M total - Time to hire: 3–4 months per person Offshore via Exordiom (India, senior-level, all-in): - 5 engineers x $4–5K/month = $240–300K/year - Same technical depth. Pre-vetted. Placed in 2–4 weeks. - Total cost including our fees: under $300K That's $900K+ in annual savings — enough to hire 3 more senior engineers or fund another 6 months of runway. The math isn't the whole story. But it's a pretty good starting point. #offshorehiring #engineeringteams #saasgrowth #techtalent
-
Neej Parikh liked thisNeej Parikh liked thisAbsolute blast hosting a cohort from the Center for Digital Technology and Management (CDTM) with Jonas & Alexander at Anthropic's SoHo office in NYC. What stood out is the breadth and depth of the questions that these students, and the world as a whole, are asking about AI and Claude's expanding capabilities. How do we manage capacity given demands from businesses and consumers? How are we investing in our Startup partners while also working directly with Enterprises? What AI verticals are already driving massive impact, and how do we ensure focus in our business? What differentiates employee productivity from internal process optimization from customer-facing AI deployment? How are Cowork and Claude Code being adopted across roles and industries, and how do you distribute value evenly? How does Claude support our own internal decision making? How do you learn the human aspects of GTM in this new world? Keep Questioning, and Keep Thinking 🧠
Experience & Education
-
Exordiom
View Neej’s full experience
See their title, tenure and more.
or
Publications
-
CEO Monetization Playbook for Software Digital Transformation
Zuora
See publicationThrough the course of the last year, I have been involved in conversations with thought leaders who have digitally transformed their 100-year old Enterprise businesses to stay highly-relevant and others who have created massive growth for their new-age Enterprise businesses. I am talking about the big dogs such as IBM, HPE, Cisco, Citrix, VMware, Dell, Symantec, Google, Twitch, Nvidia, Hitachi, Infor, Pandora, Avid, SiriusXM, and then a few more.
What these companies have in common is…Through the course of the last year, I have been involved in conversations with thought leaders who have digitally transformed their 100-year old Enterprise businesses to stay highly-relevant and others who have created massive growth for their new-age Enterprise businesses. I am talking about the big dogs such as IBM, HPE, Cisco, Citrix, VMware, Dell, Symantec, Google, Twitch, Nvidia, Hitachi, Infor, Pandora, Avid, SiriusXM, and then a few more.
What these companies have in common is that they have acknowledged that we live in a demanding customer-centric and outcome-centric world, where we humans have ever-diminishing patience for the desired personalized outcome. What these companies also have in common is the willingness to change and adopt a customer-centric business model where all the functions in a company (Sales, Product, Support, Customer Success, Engineering, Marketing) revolve around a customer.... a subscriber. These companies are fighting for maximizing the lifetime customer value by providing ongoing and relevant high-value services.
I've taken all of these conversations that I have had with CEOs, CFOs, CIOs, CMOs, CSOs, CDOs, and packaged it up into a CEO Monetization Playbook for Software Digital Transformation. In this playbook, you will find 5 different strategies that leaders within their organization can quickly deploy to yield fruitful results. You will find pros and cons with each strategy, best practices that successful Enterprise companies have deployed, and testimonials from company leaders on the tremendous success they have had coming out on the other side of the digitally transformed business model.
Languages
-
English
Native or bilingual proficiency
-
Hindi
Full professional proficiency
-
Gujarathi
Full professional proficiency
-
Spanish
Elementary proficiency
Recommendations received
1 person has recommended Neej
Join now to viewOther similar profiles
Explore more posts
Explore top content on LinkedIn
Find curated posts and insights for relevant topics all in one place.
View top content