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Where the startup world goes to find what's next. Learn more at www.wellfound.com
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Startups, if you’re struggling with candidates who don’t know who you are, watch how Kapil at Tremendous handled it. He went from zero interest to 10,000 applicants by doing some simple things. One of the highest-leverage levers you can pull as a founder is your company’s brand. And let’s face it, recruiting is social proof. A lot of founders forget this. So many start hiring, and put zero effort into their website and brand. If you’re doing something legit, sure, it might not matter if your website looks awful. But the first thing a candidate will do is look up your website. If it sucks, it instantly reduces the likelihood of interest. If you can’t put effort into your website, then should they think you put effort into your product? What makes you different than the 20 other startups they’re looking at? Why should they be excited to join you? Kapil handled this by: - Leaning into remote work, low-meeting environment, and paying above market (three differentiators) - Writing out these values in a company handbook and making it public - Improving his career page It sounds so simple, but it’s so effective.
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Big fan of the Wellfound team and product. I trust their insights.
Is remote hiring dead? Well, the data says… …not really. Here’s the percentage of new engineering job postings on Wellfound that allowed remote work: - Pre-pandemic - 20% - Post-pandemic peak - 46% in July 2022 - Now - 30% That said, a 33% drawdown from peak is notable. But if you’re hiring remote, that’s just more applicants you can choose from. And if you’re a candidate applying, you’ll probably see less competition if you’re willing to go into an office. But no, I wouldn’t say remote is dead, compared to where we were pre-pandemic.
Companies Hiring Now (new job postings this week on Wellfound ??): ? AirGarage - 7 Open Roles: https://lnkd.in/gmwJzU_i ? Venteur - 2 Open Roles: https://lnkd.in/gnAkGBpi ? Contentful - 53 Open Roles: https://lnkd.in/gS-eCmdD ? Grow Therapy - 11 Open Roles: https://lnkd.in/guU--JcP ? Iterative Health - 3 Open Roles: https://lnkd.in/g8uTTKPt ? Aspire- 75 Open Roles: https://lnkd.in/gW2Td8XN Apply now and explore more roles on Wellfound: www.wellfound.com
SMR startups heat up nuclear market, teaching AI to teachers, police want AI body cams, Amazon and Walmart employees push back on RTO, ChatGPT beats doctors in diagnosis (again), athlete invents ‘knee airbags,’ laundry bot stirs AI debate, Duolingo execs tackle college costs, and 5 trending startups hiring this week. Read the full #WellfoundWeekly newsletter below. #technews #hiringnow #startups
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Founders, here’s why your interview process takes 3+ months, with 40+ calls, and still zero hires: You’re not treating it like product development. I’ve talked to so many founders who check all these boxes: - Incredible company - Driven teammates - Well-funded But still, they’re in the same situation with no hires: - 4 months of interviews - 40+ interviews - A burnt-out engineering team ready to get back to coding - Promising candidates who say no It almost always comes down to the same problem: they’re not adapting their interview process, at all. It’s the same thing from the beginning, and it’s clearly not working. Interview processes aren’t “Set it and forget it.” You need to constantly evaluate and re-evaluate what’s working, what isn’t, and where you can improve both sides of the experience. Maybe there’s not enough structure for your technical interviews. Maybe one of your interviewing engineers has unrealistic expectations. Maybe you’re not selling the company well enough after the offer. It’s impossible to find out any of these things if you don’t review your process and improve it!
Which question is your favorite? What would you add? ?? #startups
If I were to restart my career, I wouldn’t worry about joining a startup vs big tech. I’d answer these three questions instead: (New grads, use this framework.) 1. How fast am I learning? Compound growth is one of the most powerful effects, and it applies directly to your career. You should be learning fast, and early. Flashy names in big tech might seem safe to join (and have other upside), but you could be learning at a snail’s pace. When you’re seeking these opportunities out, ask yourself - are the problems interesting? Do I get significant ownership over my part of the product? I’d pick a small product with large ownership over a huge product with tiny ownership, all else being equal. 2. How good is my network? My entire career is based on the network that I had early on. I worked closely with these people every day, and they went on to do incredible things. You can’t buy that type of relationship. Which is why it’s so crucial to join a team full of cracked, driven people. I’d be asking questions like: are the people around me really smart? Will I actually work in the trenches with these people, instead of talk once at a water cooler? Finding the right group of people can literally change your life. 3. What credibility will I get? Here’s where big tech rears its head. Because yes, you get significant social proof. The check mark that people place on your resume. It’s possible, but rarer, to get that from a startup. If you’re early on in your career, you honestly just need a checkmark of some kind. It makes everything else so much easier. So, it can be a bit of a gamble picking a startup over Google. But if it’s the right startup (that checks the first two boxes) then you’ll be just fine. If I were evaluating two competing offers (or staring down a 6-month interview grind, and wondering where to set my sights) I’d focus my attention around these three questions.
PSA to new grads looking for a job and how to get hired in this market ???
New grads in engineering, here’s why the market is so tough. You’re not competing against each other. You’re competing against someone with 5 years of experience. Any company that hires new grads is agreeing to training them. Which, when done right, can be great. Higher loyalty, tenure, and lower pay. But it comes with significant cost: - Teaching them how to build production systems - Teaching them how to build software end-to-end - Teaching them how to work within a larger organization These are things that mid-to-senior level engineers just know. They’ve had the reps, they know the typical paths to take to problem-solve. There’s a few reasons most companies pick these engineers over entry-level: - Ambiguity - Engineers with experience generally deal with professional ambiguity better vs someone who’s only seen a smaller set of problems in school - Self-motivation - Being able to do things when people don’t tell you to do them takes on a different meaning post-school - Shortcuts, and knowing when to take them - Knowing the tradeoffs of an architectural decision or an implementation can make or break a sprint, month, quarter, etc. In short, that’s who you’re competing against. If you can sell the upside (loyalty, fresh eyes, work ethic) you’ll be playing a smarter game.
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Recruiters, there are dumb ways to use AI and smart ways you should be using AI. Let me walk you through the smart way. I think by 2025, we should expect purpose-built AI tools to handle the “manual” part of recruiting. Interview scheduling, initial outreach, surfacing resumes. But you can do so many high-leverage things with off-the-shelf tools. For example, Google’s NotebookLM lets you create a shareable knowledge base on a job listing, candidate, or company. - Share it with other recruiters who might be helping with hiring - Share it with candidates so they can ask questions about the company This is incredibly useful, context-specific, and time-saving. And I think every entry-level recruiter should be taking advantage of it.
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When I revealed that AI gives me time (and leverage) to code as a CEO, a few people asked me what my tech stack was. Without these tools, I don’t think it would be worth my time to code: - Cursor using Anthropic's Claude for generating code / doing experimentation around prompts. - OpenAI ChatGPT (4o and o1) with Mac desktop for asking questions / planning what to do. Also useful to have it just write elasticsearch syntax / SQL queries. (I think Claude might be better, but I much prefer the mac app.) - Braintrust for quickly testing prompts across a bunch of models I see a lot of candidates who think entering management means leaving what got them excited about their career in the first place. I can confidently say that’s not the case anymore. At least, in circumstances like mine.