Ishan Sharma’s Post

I think the ideal startup team structure is: 1 Product team: - 1 PM, 4-6 Engineers, 1 designer (n) number of Pods that map to a use-case/industry Each pod is made up of an AE, Product Marketer and a Growth Engineer. Product team builds core platform and Pods drive growth + sales Thoughts?

At ClassDojo, we hire people, not roles. Our priority is exceptional talent. Rather than trying to slot people into rigid roles, we prefer to find extraordinary people, and create custom-fit roles around their strengths, interests, and our business needs. Practically, we co-create a ‘mission & outcomes’ doc with exceptional candidates. This doc specifies (1) their mission at ClassDojo, and (2) ~3 key outcomes we aim to achieve together in our first 12 months. We update it often once they join. Exceptional people rarely stick to the starting job anyway: they are constantly redefining their roles. Our consumer network of 10s of millions of active users is growing fast, and I’m on the lookout for exceptional leaders in Growth, Product, Growth Engineering, Data Science, Fullstack Eng, Marketplace Ops, CX, & Strat Finance—if you know anyone exceptional, send them my way

🚀 We’re hiring! Be the 5th member of Probook AI! 🚨 Looking to serve the $650B home services space? ➡️ Comp: Base salary + stock options 🙏 For the past six months, it's been just 4 of us, fully-bootstrapped, living out of our suitcase and working 18-20 hour days on the road visiting our customers. 📈 Fast forward to today: we’ve crossed $2M ARR, booked our onboarding out to next year, and validated that AI dispatching is in fact something people want. 🧊 But here’s the thing: we’re growing too fast and out of bandwidth. That means: - Rescheduling sales demos - Freezing product dev - Falling behind on laundry The Solution? A rockstar who can help scale our customer success process so we can unlock the ARR just sitting in our pipeline! If the Loom below resonates with you, DM me or grab time on my Calendly in the comments below!

Looking to start 2025 with new opportunities? These 3 standout companies are making waves and actively hiring: Loft Orbital (Aerospace & Defense | Scaleup | Hybrid, CA) 💡 What They Do: Delivers turnkey satellite solutions to rapidly deploy space-based systems for businesses and governments. 🛠️ Hiring For: Engineers, Finance, and Sales roles. MagicSchool AI (EdTech | Startup | Remote, CO) 💡 What They Do: Leading the way in AI tools for teachers, helping educators save time and improve learning outcomes. 🛠️ Hiring For: Product Managers, Software Engineers, and Sales roles. Pacaso (PropTech | Scaleup | Remote, CA) 💡 What They Do: Modernizes the co-ownership of second homes, making vacation properties accessible. 🛠️ Hiring For: Engineering, Sales, and Product positions. ---- Note: We’re not affiliated with these companies. These picks help job seekers find opportunities—apply directly. #outscoutoutliers #jobsearch #careers

📢 All founders in my network: Putting out a feeler to see if this is something other founders would want. Please like or comment if you're interested and want me to reach out to share more. I'm brainstorming a straight to-the-point, actionable product / startup playbook with things I wished I learned when starting and operating my company. Topics I'm considering: - Funding sources - Finding market validation - Sizing your market - Technology - hiring a CTO or founding software engineer - Building Product & analytics stack (data) - Team & Hiring - Marketing - inbound & outbound activities The idea is to skip the fluff and provide enough background information necessary to get started, as well as a guide on how to get started. It will include specific products, tools, strategies, documents, and templates for items like setting up key metrics for product Would love any feedback or thoughts!

We’re once again hiring for early career product generalists! If you’re early in your career, and love numbers, data, and building, we’re hiring. At Kernel, we are a >10-person team that works with many of the best revenue teams in the world to build lists of companies that have the problem they solve. Behind the scenes what we do is:  - Take 100,000s of companies (or millions, or tens of millions)  - Take all the information you can find on them online (website, job descriptions, Google Maps, everything)  - Look for the things a sales rep would look for if they had unlimited time. How many products do they sell? How much do they spend on travel? Anything.  - Use it to find the best companies for our customers to sell to. Here’s how you come into the picture:  - AI agents need to be set up  - AI agents need to be improved based on feedback  - AI agents need to have their output quality evaluated at scale That’s what you’ll do. You’ll do it at massive scale. Think thousands of browsers working for you. You’ll do it for companies paying hundreds of thousands of dollars. What you get:  - You get to work in the office with a small team of entrepreneurs and world-class engineers. Kind and caring, but silly ambitious.  - You get to work on the frontier of applied AI. When you watch Open AI Dev Day you’ll think ‘I can use all this’.  - The steepest of learning curves in something that wasn’t possible 18 months ago (= young people can be amongst the best in the world) What we expect:  - You’re all-in and want to be part of a small team. There are no assigned mentors or career development programmes, you’ll learn mostly from doing.  - In the office 4-5 days/week. It’s easier to learn faster when you sit next to the people you’ll learn from.  - You’re willing to put in the work. Things are changing fast and our customers expect the best. LLMs don’t always behave like you expect. We have many customers on the West Coast of the US. Often that means long hours. JD below

🦖#DirectOpportunities →  🟡 #MLEngineSoftwareEngineer #Israel  • What: "Develop and optimize critical backend features and work across diverse technical areas, contributing directly to the company's success."

We've been hiring a ton lately! While we're extremely excited about our new team members (and future ones), the last few months have given me a feeling I've never had as a founder. Starting something new means you'll be "wrong" for a while. It's baked right into the definition. It's new because others don't share your belief that it works (or how it could work). Depending on how hard the thing is, you might need to be wrong for years. On top of that, you have to prove to people—potential customers, investors, and talent—that you're actually right (to some degree), and that others just haven't caught up yet. It's no easy task. Paul Blankley and I knew that. And we absolutely lived this in the beginning. Thankfully, we stuck with it. Slowly but surely, we hired our founding team members, raised capital, built (and rebuilt) a great product. It was earlier this year that everything changed. It felt like a switch flipped on our hiring conversations. We've been meeting more and more prospects who exude a level of excitement around our product that's nothing short of humbling. For the first time ever, we're not doing the convincing. They're convinced. They meet us and they've read all about the team and the product. They've pored over our docs and can talk in detail about which parts most excite them. Many of these new hires have even been opportunistic: we don't even have a role open, but we meet someone amazingly talented and passionate about what we do. To bring the second line of this post full circle, the feeling I have can be summed up in one word: Grateful. And I'm so damn excited to keep this machine moving. On that note, we'll be hiring a ton over the next 6 months. If you're an aspiring AI engineer, or a front-end dev who's worked on BI, DM me!

It is 10x harder to make something simple than more complicated. As completely inexperienced founders with no technical background, my cofounder and I found this out the hard way. We launched a good idea into an underserved market with all the bells and whistles that we thought our prospective customers would find invaluable. Turns out, many of the more advanced software features - the ones we spent tons of resources on - were rarely used. Looking back, we could have launched our hiring product with 40% of the feature set and not only would we have spent less time and money in development, but we likely would have achieved higher adoption due to a better user experience. Research what your customers actually want.  Build an MVP.  Iterate based on user feedback. Sounds simple, right?

We’ve hidden a little Easter egg in our website’s source code—just for those who love to dig a little deeper. 👀 If you find it, we’d love to hear from you! Think of it as a small challenge, a bit of fun, and maybe even a sign that you’re exactly the kind of curious mind we’d love on our team. Let us know when you find it! 🚀 #LifeAtSHL #EasterEgg #Hiring #SoftwareEngineering #HiddenChallenge Jon E. Steven DeLisle Rachita Mahajan Kompal Gupta