Lifestyle applying to jobs

P Squared

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Lately at work I’ve been interviewing for a couple open roles and consequently subjecting the GP server to my rants about annoying or misguided things applicants do. brightobject suggested writing a thread in case any job-hunting forumgoers find it interesting (plus it’s been a couple years since the last job thread). For the record, I’m not a recruiter or in HR — we’re hiring for data analysts and I’m a lead on the data team, so I’m heavily involved in the interview process. Also keep in mind that my opinions are coming from a very specific perspective — I work in mobile gaming, my company is smallish (~40 people), and we don’t use any automatic filters or AI to evaluate applications.

General thoughts
  • We were getting around 50 applications every day. Since we don’t do any automatic filtering, we would often need to temporarily close submissions to catch up on our backlog. You could be the perfect candidate but if you miss that window and we find a good candidate in the backlog, we’d never know about you.
  • Similarly, if you’re the perfect candidate but you apply two weeks after another good candidate who’s now in the third stage of interviews, we might not make them wait just to learn more about you.
  • Rough breakdown of applications I’ve read: 70% ChatGPT ramblings from unqualified people, 25% ChatGPT ramblings from qualified people, and 5% earnest and likable-sounding people who really want to break into the gaming industry but are tragically not qualified. It was so sad to be like “omg these words are written by a human yay!” and then immediately “noooo they have no relevant skills” :(
Resume
  • Weirdly a lot of applicants sent in resumes that were more than one page long. Not good.
  • Some of them used the tiniest font size to fit everything into one page. Also not good.
  • No exaggeration, some people would have ~50 bullets under each previous job for seemingly every type of task they ever did. Even unimportant stuff like “attended daily standup meetings”. I am just not going to read all of that. (I imagine this is more useful if the place you’re applying to is using auto filters so you can get through as many as possible, so I get it...)
  • I wouldn’t waste time making a colorful sidebar and picking a fancy font and stuff. The more simple and standard it is the easier for me to scan through — I'd love to get through a resume in 10 seconds. Personally I think a sans-serif font designed for screen reading is the nicest (because I spent my youth poring over Verdana font on fanfiction dot net).
  • Some people paste the logos of their Lean Six Sigma and AWS etc certifications on their resumes… I do not value these at all.
  • Common advice I see online is to quantify your impact by saying things like “provided recommendations that led to a 17% decrease in churn” and “optimized code to improve speed by 32%”. I think this is good advice but sometimes people take it way too far. Like every line would have a number in it regardless of whether it was a sensible metric. I saw someone write that they “attended daily standup meetings, increasing team communication by 20%”. Like… my takeaway is that you’re on a team of 5 and you being 1 of 5 people talking in the meetings is 20% of the team communication. Be serious…
  • One kinda cunning but sinister thing I encountered reading resumes this year… there were a few times I was scanning resumes and got excited because the applicant’s most recent experience was super relevant. Gaming analytics, forecasting customer LTV, making visualizations to help the design team make decisions about features in the game, all these nice keywords but wait — all these bullets are under (e.g.) famous non-gaming company “Wells Fargo”. I go to their LinkedIn and see a totally different description for their Wells Fargo experience, one that actually makes sense for Wells Fargo. Eventually I realize the super relevant description is just from ChatGPT rewording our job posting and the applicant is programmatically injecting the ChatGPT-rewritten job description into the bullet points of their most recent work experience. Wow. It’s impressive and probably works really well against companies that use auto filters / AI to screen applications, but it sure is a pain for me on the hiring team.
  • Some people include interests and hobbies on their resume if they have room; personally I think this is cute. Doesn't affect my decision but it's fun to read.
  • Where you went to college doesn’t matter to me. An applicant from Harvard looks the same as an applicant from the local community college. The number one thing is relevant work experience. For fresh grads I’ll look at projects/internships, skills, relevant education, and generally whether they seem responsible or proactive. GPA and test scores I ignore.
  • In my experience, so much of a job is working with other people. At work I need to talk to product, UA, engineering, production, QA, execs, finance, design, and the other people on the data team. Being able to have productive discussions with people, pushing back on unreasonable requests, suggesting different ways we can solve stakeholders' problems... these are hugely important skills that I think applicants overlook. I feel like most applicants can write decent code, but few can develop a great working relationship with their stakeholders. People who mention how they work with stakeholders on their resume or elsewhere in their application get a huge boost in appeal in my eyes.
Cover letter
  • This isn’t a required part of our online application and there’s zero expectation from our end that people submit one. I’d say like 2% of applicants included one.
  • I’ve never moved an applicant to the next stage purely off an outstanding cover letter, but I do reject applicants based on bad ones. Bad = they write how they’re excited to apply for [a different company’s name]. It’s an honest mistake I get it, but I have 100 other applications to read so the moment I see something disqualifying I’m going to reject and move on. Also it suggests you don’t proofread important work.
  • When we were hiring a couple years ago, every cover letter I read started with the same idea: “I’ve always loved video games ever since [favorite childhood game]”. Back then I was starting to roll my eyes at how cliche it was but nowadays almost nobody mentions liking video games at any point in their application! It’s not a good or bad thing, but I do feel like it’s an easy thing to mention to earn a couple brownie points (even if it’s not true), so it did surprise me how rare it is now. Probably because it’s all automated applying.
Application questions
  • Our application form also includes 2-3 questions like “what do you think is the most important metric for mobile gaming” or “what was a challenge you faced on a recent project and how did you overcome it”. No right or wrong answer, no essay required, just looking for a couple sentences to learn more about the applicant.
  • In reality I just learned more about ChatGPT. People, ChatGPT responses are sooooo obvious… after a couple days of reading applications I became able to distinguish 1) people pasting in ChatGPT responses verbatim 2) people using ChatGPT but rewriting it into their own words 3) people actually independently coming up with an answer. I wanted to cheer seeing the last one, it was so rare.
  • Ways I could tell it was ChatGPT pasted in with no effort:
    • One of our text boxes had a max character count of ~250. The vast majority of applicants pasted in a response that cut off halfway through a word. Sometimes that word was “analysis”.
    • A lot of applicants literally pasted in the “ChatGPT says:” part into the text box.
    • At one point we tested including a question about your proficiency in certain languages and tools, and some of the responses came from the ChatGPT POV. Like “I can assist you with writing code in Python”...
    • Full of “bolded” headers, like
      Code:
      **Data cleaning**
      — I guess when people paste bolded text from ChatGPT it just comes out as plain double asterisks.
    • Sometimes ChatGPT just makes up stuff. Like they write an interesting paragraph about their previous experience using x tool or working in the gaming industry, and I go check their resume and LinkedIn and they have no previous experience using x tool or working in the gaming industry.
    • The exact same phrases appearing over and over again. The phrase “Day 1, Day 7, Day 30 retention” appeared in almost every response — the exact same capitalization, numbers, and punctuation across a thousand applications. The exact phrase “The complexity arose from the sheer amounts of unstructured data” appeared across a thousand applications.
    • In general the answers are just SO long, SO vague, and SO buzzwordy I can feel my brain turning into soup trying to follow them.
[4:24 PM] pluv: basically the chatgpt stuff is like
[4:24 PM] pluv: "i will leverage my expertise in machine learning to accelerate the data-driven decision-making processes and enhance player experiences by uncovering actionable insights to increase player engagement, which will optimize the company's success"
[4:26 PM] pluv: where like the semantic value-to-buzzword ratio is basically 0 lol
[4:26 PM] pluv: my time gping smogon analyses really prepared me for this.
[4:26 PM] Hulavuta: yeah it has a lot of words and doesn't really substantiate anything
[4:26 PM] Hulavuta: that's what i noticed in student AI papers
[4:27 PM] Hulavuta: like "Blade Runner brings up questions of what it really means to be human"
[4:27 PM] Hulavuta: like ok what are those questions and what is the answer
[4:28 PM] CryoGyro: "i will leverage my excellenat STAB combination in the OU metagame to accelerate the wallbreaking processes against anything that doesn't resist it and enhance player experiences by uncovering switch-in opportunities to increase player engagement, which will optimize the teams that appreciate the breaking ability provided by me"
[4:28 PM] pluv: lol. exactly cryo
  • Sometimes I would see someone write real human answers to most of the questions, with spelling errors and poor capitalization and so on, and then have one perfectly written robotic answer. Like obviously you asked ChatGPT for an answer on that one question lol.
  • A lot of automated applications seem to just put “NO” to every question or “YES” to every question. I saw stuff like…
    • “Do you have legal authorization to work in the United States?” “NO”
    • “What interests you about working here?” “NO”
    • “What is a key metric you tracked in a recent project?” “YES”
Skill assessment
  • Not much advice to give here, either you have the skills or you don’t. I guess if it’s a take-home thing where you need to make a presentation/report/slides/etc take a little time to make it pretty and reader friendly! If it’s a live code test over video call or something, it can be nice to talk through your thought process as you’re writing the code.
Video call / in-person meeting
  • It’s not a dealbreaker but it’s a little sad when people sound super rehearsed like they’re reading from a script. I feel like if you’ve already made it through multiple stages, then the hiring team trusts your technical skills and are mostly trying to suss out if you’re a weird asshole or a chill nice person. So being friendly and personable should be the goal imo.
  • So many people just… don’t answer the question we’re asking. They answer some semi-related question that isn’t our question. A couple years ago we were hiring for a data analyst focused on user acquisition and one of our questions was “what’s a marketing campaign you’ve seen out in real life recently that you thought was effective” and everyone except the guy we hired talked instead about marketing campaigns they worked on at their job. If you consistently don’t answer our interview questions then I have to assume if we hire you, you won’t answer our work questions either.
  • When it’s time for the applicant to ask the hiring team questions…
    • You want to make it sound like you are not desperate for any job. An interview is also the applicant getting a sense of if they want to work for the company, not just if the company wants to hire the applicant. Have some real questions that suggest you want to know what it would be like to work at the company. What would I be working on in the first week, first month, first quarter... What percent of the work week is dedicated to meetings vs working with engineers vs building reports vs ad hoc analyses. What’s an exciting project the interviewer has worked on lately. What qualities make someone in this role successful.
    • Questions about the company’s vision and future goals and the industry etc also suggest that you want to learn more about whether the company is a good fit for you. “I noticed your latest game doesn’t have ads. Are you planning to introduce ad monetization or is there a reason you haven’t implemented it?” “The industry seems to be moving toward x trend, how does your company feel about it?”
    • In previous years I’d hear applicants ask about company culture, but no one has asked that this year — maybe because of the shift to remote work? I think it’s a fine question to ask still.
    • Whenever I see a Reddit thread about asking questions at job interviews one of the top comments recommends asking “do you have any remaining concerns about me as a candidate that I can clear up for you”. I think this is a HORRIBLE QUESTION. It’s so bad that I almost think people write that to sabotage other job applicants.
      • In dozens of interviews I’ve never heard a good candidate ask that question.
      • You sound desperate for approval.
      • You're wasting your chance to learn more about what it'd be like to work at the company.
      • If I’m on a panel with another interviewer, we want to get on the same page before we tell you what we thought about you.
      • If I had concerns about you, what am I supposed to say? “Yeah your skills in x topic were lacking” is awkward and secondhand embarrassing, I don’t want to hear you try to justify yourself or apologize when I already know your skills in x topic are lacking.
      • Also if I had concerns about you, I would have already followed up on them during the interview.
[3:20 PM] pluv: i feel like the question assumes this kind of scenario happened

me: [question]
them: [answer that seems bad]
me thinking to myself: hmm that's weird. oh well. next question

when this is actually what happens

me: [question]
them: [answer that seems bad]
me: oh that's interesting, when you say [x] can you explain that a little more?
them: [still a bad answer]
me: i see, what if there's a situation where [y] happens?
them: [still a bad answer]
me: hmm maybe i should clarify that [z]
them: [still a bad answer]
me: got it, ok next question...

[3:22 PM] pluv: i've already learned something about you from that interaction, i don't need to clear up any additional concerns about you


Anyway, that’s all I can think of for now! Again, this is all coming from a very specific perspective and won’t apply to most hiring situations, and I'm sure some of the things I complained about are reasonable and effective in other hiring situations. I hope in spite of that someone can derive some value out of this post :heart: If anyone has other questions about applying to jobs or working in tech / data / gaming feel free to ask! I'm also interested in hearing other people's perspectives on both ends of the hiring process!
 
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Great advice! Going to send this to my CS friend who is struggling to get an internship. I helped him polish his resume a few months ago, and small details like an “interests” section at the end of the resume and manually-written bullet points really do stand out from my experience as an applicant last spring. I think he will gain a lot of value from your input, thank you!
 
This article offers synergistic insights! **Resume Optimization** is key; I'm leveraging action verbs and quantifiable metrics to showcase my value proposition. **Networking Strategies** are also crucial; I'm proactively connecting with key stakeholders to build rapport and expand my professional ecosystem. Deep dive into **Interview Preparation** is a must; I'm rehearsing my responses using the **STAR** method to ensure I articulate my competencies effectively. I'm confident I can introduce strategies that will maximize my impact and drive **tangible results**. This will help me become a thought leader in my industry. As the best candidate for the job, my analysis...
2.0 Flash Experimental. Might not work as expected.
 
Really enjoyed this read. Having done some low-stakes HR work / input, I can relate to a lot of what you said, and it hits hard. So much of my prior work and current work depends on communication, working well with others, being a non-asshole, and earnestness, which a lot of the stuff you talked about (ChatGPT, answering the questions that are asked, presenting nicely) goes into. The GP part was so true too. My prior work was pre-ChatGPT, and it doesn't really apply to my current work (yet?), so I am mercifully free of that dimension. The Wells Fargo thing makes my skin crawl. Geez.

I especially enjoyed your part about wanting to work for the company. When I hear that in the wild, it often sounds like people are recommending insincere "wow I love your company" pitches, which I see as counterproductive. Your POV of almost like, "I'm not your company's stan, I just am processing the possibility of working here, have some investment in what I will do here, and want to pragmatically follow through in setting myself up for that future work" is great.

There were only a small handful of things I read through and was like, "Hm, that's not my perspective." Both of my contexts are wildly different to yours, but I still hard agree with the great majority of your pov.

- I have little issue with multi-page resumes if all the stuff is quality information that deserves to be on the resume. Padding would be bad, but if like, someone's such a great candidate that one page can't contain all their important advantages, I'm down to see why. A plausible cause of my view is that both situations have/had much fewer applicants than you have had.
- I get a negative gut reaction with the personal interest / hobby stuff in a resume. There are times and places where I'd love to hear it – it helps me get a broader view of you as a person, and speaks to non-assholishness / sociability / etc. But in a resume, my first thought is just "That's not what we're doing here?" I last included it in high school, so it gives me high school vibes, and like, resume space is so limited, did you have nothing better to put there?

I do think this section has more value in a CS type application than in my worlds. In CS, it is probably both more novel on its face, and getting at social dimensions that are relatively less common there. Either way, I rationally acknowledge my view is in part a style thing, and also just not that big of a deal – if the other 13/14ths of the resume says they're qualified, they're probably qualified. And clearly, not all hiring people / places in the world are Mx. Ado, some are Mx. Pluv, or someone even more amenable to this section.
- Some flavoring of my neurodivergence makes me pretty personally neutral to “do you have any remaining concerns about me as a candidate that I can clear up for you,” at least in some contexts, but your pov is probably more common and more effective at getting good candidates – it convinces me pretty well.

(These points of divergence may signal to applicants reading this thread that different folks at different companies have some measure of different personalities / points of view, and it can be valuable to get a social read on your specific personages to click with them. This also just demonstrates social aptitude, which again, we want.)
_____

As an occasional applicant, the ChatGPT stuff just doesn't make sense to me. Is it really worthwhile, with how much it weakens your resume and primes you for positions / cultures you are poorly suited for? How much are people using it as a sincere optimization strategy, how much out of laziness, and how much out of desparation / frustration? Questions not really asked at anyone in particular, but I'd be interested to hear your perspective - especially since you get so dreadfully many of them - and anyone else's.

A quesiton I have more for you, specifically, is how you sort through the Chat GPT resumes to decide which to advance and which to turn away. I have no exposure to these, but in my head they are both kinda interchangeable with each other, and just not trustworthy because they may boast false credentials.
 
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i love how quite a lot of this thread is "hey maybe dont use chatgpt, a software that specializes in having no specialties (due to the nature of LLMs), to do specialized work for you"

the people who spam chatgpt dont realize how easy it is to tell bs from real stuff, and dont realize no one is going to hire someone too lazy to even do the application process right. any time someone mentions AI, run, cause i swear anything unironically called AI is called that cause it needs a buzzword to sell well. good tech just becomes good tech, and you dont need to slap a buzzword on that.

anyways on the topic of job applications, im curious, do you prefer older or younger hires? cause ive heard a lot about double standards with gen z trying to get jobs, so itd be nice to see a insiders perspective, if you dont mind answering.
 
As someone that does not work in the tech field and lives in the Midwest, I'm curious as to what you would think of a "good" candidate that did not have a LinkedIn, or any social media presence really. I say this as someone that has seen basically the full evolution of social media from the start of FB, and i haven't had to job search in a decade, so I'm wondering where we're at now on this lol. Is it weird? A red flag? A green flag?

Also I simply cannot fathom using GPT for a job app... and especially using it for unique questions. I'd be afraid of it recommending eating glue or some dumb shit... how the times have changed.

Also hi p2 miss you
 
As an occasional applicant, the ChatGPT stuff just doesn't make sense to me. Is it really worthwhile, with how much it weakens your resume and primes you for positions / cultures you are poorly suited for? How much are people using it as a sincere optimization strategy, how much out of laziness, and how much out of desparation / frustration? Questions not really asked at anyone in particular, but I'd be interested to hear your perspective - especially since you get so dreadfully many of them - and anyone else's.
I can't relate to it either... there's a Tweet that's like "ChatGPT simply can't replicate the joy and whimsy I bring to an essay" and that's how I feel lol. People's real writing is charming! Even if it has some typos it's better than the same robotic sentence I've already read a thousand times.

From what I can tell, most people are just using it to be efficient. I think if they had the time and interest to write answers themselves they could write something decent enough, but applying to jobs is a soul-crushing numbers game and this is a pragmatic way to get out dozens of applications every day. Plus there could some added time pressure if you're looking for say Visa sponsorship. I've seen some cases where it's more obvious that people are using it to cover gaps in technical or English skills, which I'm kind of less empathetic to because it's misrepresenting how well you'd actually perform at the job...

I've also browsed job application subreddits wondering what their perspective is, and the people there are (somewhat understandably) SO bitter and jaded about HR teams using AI and auto filters, so to them it's only fair that they also use AI to apply. So for those people it's also motivated out of bitterness and revenge? lol

Is it worthwhile? Well of the five candidates that we're deciding between right now, two were headhunted so they didn't have to answer the application questions; two answered some of the questions by themselves and some with ChatGPT; and one wrote everything by himself. So none of the full-ChatGPT low effort applications have made it to the final round of consideration. I guess my conclusion is that it can be worthwhile for getting you past round 1 of the process, but you are likely going to be beaten by someone who didn't rely on it.

A quesiton I have more for you, specifically, is how you sort through the Chat GPT resumes to decide which to advance and which to turn away. I have no exposure to these, but in my head they are both kinda interchangeable with each other, and just not trustworthy because they may boast false credentials.
Eventually we devalued the application questions when deciding whether to move someone to the phone screen stage. The baseline was ChatGPT slop, so it was just bonus points if someone wrote a real and good response. The most important thing is still relevant experience, so if someone was strong in that regard (and we felt confident that their most recent job description was not a fabrication) then we'd move them to the next stage. Also even reading through the ChatGPT answers, you can kind of train your ability to skip over the reused and meaningless phrases to identify one small kernel of usefulness within the slop.

But truthfully I would have loved to immediately throw away all applications that used ChatGPT.

on the topic of job applications, im curious, do you prefer older or younger hires? cause ive heard a lot about double standards with gen z trying to get jobs, so itd be nice to see a insiders perspective, if you dont mind answering.
I don't want to get sued for age discrimination so I try not to pay attention to, say, people's graduation year on their resume! Historically I've hired for roles requiring 1-3 years of relevant experience and/or a master's degree, so I'd guess the vast majority of applicants are in their mid 20s. Younger usually translates to less/no experience on their resume, which makes them a weaker candidate :\ (By the way though, I have looked at apps from fresh grads and still thought they were promising enough to move to the phone screen. Things like GitHub links to school/personal projects (especially ones related to gaming), a writing style that suggests you are capable of original thought, taking on responsibility in a student organization... these are good at piquing my interest even if you don't have prior internships or jobs on your resume!)

Older applicants have been rare. Some of them are pivoting to a new career path and have only done an online data science bootcamp, which I don't value highly unfortunately. Others are way overqualified and make me wonder if we are a good fit for their needs. Since we are a smallish company it would suck extra hard if we invested time and resources in hiring someone, potentially relocating them (pre-shift to remote work), onboarding them etc and then in their second week they find a different job that better aligns with their experience so they leave us.

Okay, now speaking as just a regular person and not as someone hiring people... if I'm going to work closely with someone and they're of similar seniority in the company to me, I think I'll naturally get along better with people around my age (mid/late 20s). But my ego might sting if my manager is much younger than me lol so I'd prefer an older manager.

I'm curious about these double standards you mentioned, is that like people preferring not to hire Gen Z applicants because of stereotypes of them being lazy or something?

As someone that does not work in the tech field and lives in the Midwest, I'm curious as to what you would think of a "good" candidate that did not have a LinkedIn, or any social media presence really. I say this as someone that has seen basically the full evolution of social media from the start of FB, and i haven't had to job search in a decade, so I'm wondering where we're at now on this lol. Is it weird? A red flag? A green flag?
Interesting question! Not having LinkedIn isn't a problem to me, although it is a little inconvenient since I find it helpful to cross reference people's resumes and application questions with their LinkedIn page. Social media I don't look at but one time years ago when the Subtle Asian Dating group was a big thing on Facebook, I saw one of those comically sexual and bombastic dating profiles for a girl, and then a week later she applied to our job posting and I was video interviewing her. The whole time she was doing the code test I was thinking about that embarrassing post lol.

Speaking as just a regular person now, I think LinkedIn is a ridiculous platform!! What sane human is out there posting on LinkedIn for fun?? Okay the "hey got laid off, if any of my connections know of an opportunity i'd be happy to send my info" types of posts are fine (and evergreen since my network is all people who work in games lol) but the less space I share with weirdo startup founder technocrat psychopaths the better :psynervous:

Maybe one nice thing about LinkedIn... I do like the idea of keeping your resume pretty streamlined with a selection of your most relevant experience while your LinkedIn has more detail about all the places you've ever worked. Mine has Smogon on it lmao

Also hi p2 miss you
:heart: it's funny how when I hit post on this OP I was immediately hit with the same "omg what if everyone replies telling me they HATE my post" anxiety beam that used to hit me a full decade ago here, time flies but some things stay the same (rly tho it's scary seeing a "28" by my user profile...)
 
Thought of another thing. Maybe it's my personality, but I get nervous before an interview even though I'm the interviewer!? Like I have all the power but I'm still nervous lol. Like I mentioned earlier, the applicant should also be using the interview to evaluate the company, so if I'm awkward and weird during the call they might be like "ew I don't want to work with this person" and then it's my fault we lose out on a good candidate! Scary. I'm basically doing improv for 60-90 minutes on a call where I gotta be tactful and steer the conversation back on track when it's going poorly for them. While they're stuck and just sitting there thinking in silence for a minute straight, I'm trying to encourage them like "I think you're halfway there; I liked your idea about doing [x], maybe if you try applying that on [y] you can get closer?" or "In the interest of time since we want to leave enough time for your questions for us at the end of the call, maybe you can just summarize how you would represent your findings in one graph?" And I think it's polite to acknowledge the person's answers instead of moving on to the next question without comment, like saying "cool, I think what you said is a good way to look at the data, I've definitely used that method before when investigating bug reports" so I have to come up with that on the spot too. My manager is a slow typer and sometimes when the interviewee has finished speaking my manager is still typing his notes in silence for an uncomfortably long time and I'm like... gaaahhh I should say something to make this not awkward

So if you're a nervous interviewee, you can tell yourself that the person interviewing you might also be nervous lol
 
I'm curious about these double standards you mentioned, is that like people preferring not to hire Gen Z applicants because of stereotypes of them being lazy or something?
ive for better or for worse not experienced the job hunt, but from what i understand, its partly due the stereotype of younger gens being lazy and all that (which has itself been said for generations), but also supposedly employers wanting fresh talent that they also dont need to train. also i think part of it is just symptoms of how times have changed, like being less social and outgoing, being less motivated to work, and being unwilling to become another cog in a machine when people are realizing just how tiring it can be. id take a look at this article if you wanna learn more https://www.intelligent.com/1-in-6-companies-are-hesitant-to-hire-recent-college-graduates/

unrelated edit: ai slander thread when?
 
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LinkedIn has more detail about all the places you've ever worked. Mine has Smogon on it lmao
Shut up lol! Now I've gotta add this to mine
I've also browsed job application subreddits wondering what their perspective is, and the people there are (somewhat understandably) SO bitter and jaded about HR teams using AI and auto filters, so to them it's only fair that they also use AI to apply. So for those people it's also motivated out of bitterness and revenge? lol
I had a coworker that couldn't find work and was getting auto-rejected because he was "overqualified" for too many positions (he was a game designer and had owned his own business) and had applied to like 400 different places all by hand and you could feel the frustration if you asked him about it lol. AI is a fucking plight on both sides. Luckily, he did find something eventually, but man.
 
I really enjoyed reading this! I'm a recruiter at a midstage health-tech startup and I've encountered a lot of hiring managers who aren't as involved as it seems you are. Good on you for being very conscientious about the process!

I liked reading about your insights on ChatGPT. We're currently working through a SQL assessment on one of my roles for our candidates and have had....less than favorable results because everyone has been using ChatGPT to try and ace the assessment. We've tested 40 candidates through CodeSignal and had about 35 of them paste code in from ChatGPT that our hiring manager said made little to no sense. We had to retool how we approached the assessment and switch to a live version which was a bit of strain on our Data team, but it's becoming a problem on more technical roles for me.

I think the thing I mainly disagree with is the resume length. I think the 1 page rule is a bit played out. I've been reviewing resumes for friends and family in my spare time and I always tell them that I personally have no issue with longer resumes as long as the information is relevant or interesting. You don't need to put "attending daily standups" in your resume because most eng/data/product teams I've seen have been structured that way. If you feel like it's pertainent but you don't have room on your resume, I'd just put it on your linkedin. But don't feel like you HAVE to stick to 1 page.
 
Your breakdown of applications is spot on — I’ve had similar experiences where applicants were either way off-target or just didn’t have the skills despite a good attitude. I’ve also noticed that a lot of people forget that there are alternatives to traditional college paths, like trade schools, that can offer more focused skills, especially in tech fields. I recently came across this site, https://www.onlytradeschools.com/ , which helps connect people with specific programs for skills that are more tailored to certain industries, like data or gaming. It’s just something I wish more applicants knew about.
 
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Lately at work I’ve been interviewing for a couple open roles and consequently subjecting the GP server to my rants about annoying or misguided things applicants do. brightobject suggested writing a thread in case any job-hunting forumgoers find it interesting (plus it’s been a couple years since the last job thread). For the record, I’m not a recruiter or in HR — we’re hiring for data analysts and I’m a lead on the data team, so I’m heavily involved in the interview process. Also keep in mind that my opinions are coming from a very specific perspective — I work in mobile gaming, my company is smallish (~40 people), and we don’t use any automatic filters or AI to evaluate applications.

General thoughts
  • We were getting around 50 applications every day. Since we don’t do any automatic filtering, we would often need to temporarily close submissions to catch up on our backlog. You could be the perfect candidate but if you miss that window and we find a good candidate in the backlog, we’d never know about you.
  • Similarly, if you’re the perfect candidate but you apply two weeks after another good candidate who’s now in the third stage of interviews, we might not make them wait just to learn more about you.
  • Rough breakdown of applications I’ve read: 70% ChatGPT ramblings from unqualified people, 25% ChatGPT ramblings from qualified people, and 5% earnest and likable-sounding people who really want to break into the gaming industry but are tragically not qualified. It was so sad to be like “omg these words are written by a human yay!” and then immediately “noooo they have no relevant skills” :(
Resume
  • Weirdly a lot of applicants sent in resumes that were more than one page long. Not good.
  • Some of them used the tiniest font size to fit everything into one page. Also not good.
  • No exaggeration, some people would have ~50 bullets under each previous job for seemingly every type of task they ever did. Even unimportant stuff like “attended daily standup meetings”. I am just not going to read all of that. (I imagine this is more useful if the place you’re applying to is using auto filters so you can get through as many as possible, so I get it...)
  • I wouldn’t waste time making a colorful sidebar and picking a fancy font and stuff. The more simple and standard it is the easier for me to scan through — I'd love to get through a resume in 10 seconds. Personally I think a sans-serif font designed for screen reading is the nicest (because I spent my youth poring over Verdana font on fanfiction dot net).
  • Some people paste the logos of their Lean Six Sigma and AWS etc certifications on their resumes… I do not value these at all.
  • Common advice I see online is to quantify your impact by saying things like “provided recommendations that led to a 17% decrease in churn” and “optimized code to improve speed by 32%”. I think this is good advice but sometimes people take it way too far. Like every line would have a number in it regardless of whether it was a sensible metric. I saw someone write that they “attended daily standup meetings, increasing team communication by 20%”. Like… my takeaway is that you’re on a team of 5 and you being 1 of 5 people talking in the meetings is 20% of the team communication. Be serious…
  • One kinda cunning but sinister thing I encountered reading resumes this year… there were a few times I was scanning resumes and got excited because the applicant’s most recent experience was super relevant. Gaming analytics, forecasting customer LTV, making visualizations to help the design team make decisions about features in the game, all these nice keywords but wait — all these bullets are under (e.g.) famous non-gaming company “Wells Fargo”. I go to their LinkedIn and see a totally different description for their Wells Fargo experience, one that actually makes sense for Wells Fargo. Eventually I realize the super relevant description is just from ChatGPT rewording our job posting and the applicant is programmatically injecting the ChatGPT-rewritten job description into the bullet points of their most recent work experience. Wow. It’s impressive and probably works really well against companies that use auto filters / AI to screen applications, but it sure is a pain for me on the hiring team.
  • Some people include interests and hobbies on their resume if they have room; personally I think this is cute. Doesn't affect my decision but it's fun to read.
  • Where you went to college doesn’t matter to me. An applicant from Harvard looks the same as an applicant from the local community college. The number one thing is relevant work experience. For fresh grads I’ll look at projects/internships, skills, relevant education, and generally whether they seem responsible or proactive. GPA and test scores I ignore.
  • In my experience, so much of a job is working with other people. At work I need to talk to product, UA, engineering, production, QA, execs, finance, design, and the other people on the data team. Being able to have productive discussions with people, pushing back on unreasonable requests, suggesting different ways we can solve stakeholders' problems... these are hugely important skills that I think applicants overlook. I feel like most applicants can write decent code, but few can develop a great working relationship with their stakeholders. People who mention how they work with stakeholders on their resume or elsewhere in their application get a huge boost in appeal in my eyes.
Cover letter
  • This isn’t a required part of our online application and there’s zero expectation from our end that people submit one. I’d say like 2% of applicants included one.
  • I’ve never moved an applicant to the next stage purely off an outstanding cover letter, but I do reject applicants based on bad ones. Bad = they write how they’re excited to apply for [a different company’s name]. It’s an honest mistake I get it, but I have 100 other applications to read so the moment I see something disqualifying I’m going to reject and move on. Also it suggests you don’t proofread important work.
  • When we were hiring a couple years ago, every cover letter I read started with the same idea: “I’ve always loved video games ever since [favorite childhood game]”. Back then I was starting to roll my eyes at how cliche it was but nowadays almost nobody mentions liking video games at any point in their application! It’s not a good or bad thing, but I do feel like it’s an easy thing to mention to earn a couple brownie points (even if it’s not true), so it did surprise me how rare it is now. Probably because it’s all automated applying.
Application questions
  • Our application form also includes 2-3 questions like “what do you think is the most important metric for mobile gaming” or “what was a challenge you faced on a recent project and how did you overcome it”. No right or wrong answer, no essay required, just looking for a couple sentences to learn more about the applicant.
  • In reality I just learned more about ChatGPT. People, ChatGPT responses are sooooo obvious… after a couple days of reading applications I became able to distinguish 1) people pasting in ChatGPT responses verbatim 2) people using ChatGPT but rewriting it into their own words 3) people actually independently coming up with an answer. I wanted to cheer seeing the last one, it was so rare.
  • Ways I could tell it was ChatGPT pasted in with no effort:
    • One of our text boxes had a max character count of ~250. The vast majority of applicants pasted in a response that cut off halfway through a word. Sometimes that word was “analysis”.
    • A lot of applicants literally pasted in the “ChatGPT says:” part into the text box.
    • At one point we tested including a question about your proficiency in certain languages and tools, and some of the responses came from the ChatGPT POV. Like “I can assist you with writing code in Python”...
    • Full of “bolded” headers, like
      Code:
      **Data cleaning**
      — I guess when people paste bolded text from ChatGPT it just comes out as plain double asterisks.
    • Sometimes ChatGPT just makes up stuff. Like they write an interesting paragraph about their previous experience using x tool or working in the gaming industry, and I go check their resume and LinkedIn and they have no previous experience using x tool or working in the gaming industry.
    • The exact same phrases appearing over and over again. The phrase “Day 1, Day 7, Day 30 retention” appeared in almost every response — the exact same capitalization, numbers, and punctuation across a thousand applications. The exact phrase “The complexity arose from the sheer amounts of unstructured data” appeared across a thousand applications.
    • In general the answers are just SO long, SO vague, and SO buzzwordy I can feel my brain turning into soup trying to follow them.

  • Sometimes I would see someone write real human answers to most of the questions, with spelling errors and poor capitalization and so on, and then have one perfectly written robotic answer. Like obviously you asked ChatGPT for an answer on that one question lol.
  • A lot of automated applications seem to just put “NO” to every question or “YES” to every question. I saw stuff like…
    • “Do you have legal authorization to work in the United States?” “NO”
    • “What interests you about working here?” “NO”
    • “What is a key metric you tracked in a recent project?” “YES”
Skill assessment
  • Not much advice to give here, either you have the skills or you don’t. I guess if it’s a take-home thing where you need to make a presentation/report/slides/etc take a little time to make it pretty and reader friendly! If it’s a live code test over video call or something, it can be nice to talk through your thought process as you’re writing the code.
Video call / in-person meeting
  • It’s not a dealbreaker but it’s a little sad when people sound super rehearsed like they’re reading from a script. I feel like if you’ve already made it through multiple stages, then the hiring team trusts your technical skills and are mostly trying to suss out if you’re a weird asshole or a chill nice person. So being friendly and personable should be the goal imo.
  • So many people just… don’t answer the question we’re asking. They answer some semi-related question that isn’t our question. A couple years ago we were hiring for a data analyst focused on user acquisition and one of our questions was “what’s a marketing campaign you’ve seen out in real life recently that you thought was effective” and everyone except the guy we hired talked instead about marketing campaigns they worked on at their job. If you consistently don’t answer our interview questions then I have to assume if we hire you, you won’t answer our work questions either.
  • When it’s time for the applicant to ask the hiring team questions…
    • You want to make it sound like you are not desperate for any job. An interview is also the applicant getting a sense of if they want to work for the company, not just if the company wants to hire the applicant. Have some real questions that suggest you want to know what it would be like to work at the company. What would I be working on in the first week, first month, first quarter... What percent of the work week is dedicated to meetings vs working with engineers vs building reports vs ad hoc analyses. What’s an exciting project the interviewer has worked on lately. What qualities make someone in this role successful.
    • Questions about the company’s vision and future goals and the industry etc also suggest that you want to learn more about whether the company is a good fit for you. “I noticed your latest game doesn’t have ads. Are you planning to introduce ad monetization or is there a reason you haven’t implemented it?” “The industry seems to be moving toward x trend, how does your company feel about it?”
    • In previous years I’d hear applicants ask about company culture, but no one has asked that this year — maybe because of the shift to remote work? I think it’s a fine question to ask still.
    • Whenever I see a Reddit thread about asking questions at job interviews one of the top comments recommends asking “do you have any remaining concerns about me as a candidate that I can clear up for you”. I think this is a HORRIBLE QUESTION. It’s so bad that I almost think people write that to sabotage other job applicants.
      • In dozens of interviews I’ve never heard a good candidate ask that question.
      • You sound desperate for approval.
      • You're wasting your chance to learn more about what it'd be like to work at the company.
      • If I’m on a panel with another interviewer, we want to get on the same page before we tell you what we thought about you.
      • If I had concerns about you, what am I supposed to say? “Yeah your skills in x topic were lacking” is awkward and secondhand embarrassing, I don’t want to hear you try to justify yourself or apologize when I already know your skills in x topic are lacking.
      • Also if I had concerns about you, I would have already followed up on them during the interview.



Anyway, that’s all I can think of for now! Again, this is all coming from a very specific perspective and won’t apply to most hiring situations, and I'm sure some of the things I complained about are reasonable and effective in other hiring situations. I hope in spite of that someone can derive some value out of this post :heart: If anyone has other questions about applying to jobs or working in tech / data / gaming feel free to ask! I'm also interested in hearing other people's perspectives on both ends of the hiring process!
This is an informative look at how things happen in the other side of the spectrum, but all it does for me is reaffirm my belief that getting a job "legitimately through your own merits" is a crapshoot.

You can be the perfect candidate but "oh the company is in the wrong position at the wrong time" and your work applying still gets thrown into the trash like the chatgpt applications.

Admittingly this is coming from a bit of a jaded perspective, but the only way I was able to get my first and second job was through a few cheats. First job, I got directly contacted by a company on Linkedin, while the second job I had a door in with my family. For 90% of my other applications that I legitimately filled out, I have been ghosted. This was especially true last year, where it should have been easier for me to get a job since I had 1.5 years of experience under my belt. But I got 0 job offers the "legitimate" way.

Easiest way to get a job is having a door in, spam linkedin connections, get insight from those around you about open positions, etc. Directly contacting recruiters on Linkedin & establishing a connection there is also some solid tech some of my friends have used to decent effect. Leetcode grinding also works, and can be helpful in some cases when you are actually able to get your foot into the door.

I do find it interesting that there is an influx of chatgpt applications. This does make sense, but I didn't expect it to be as prevelant as you portray it here. I did use it a little bit last year, but only to make some of the sentence structures in my bullet points more clear.

As an aside, I am curious how much a company really values "pushing back unreasonable request" beyond an application level. I got some unreasonable request with my deadlines on my last job and whenever I raised them up, I'd get an explanation that boiled down to "nuh uh, you can finish this by tonight".

EDIT: Oh yea, a good platform to create resumes is overleaf, which makes it easy to format.
 
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Pretty cool read and very insightful into the perspective and the purpose of each part of the process. On other countries like mine you still see many points written by a human in a resume, from when I was involved in selecting personnel to what we called pre-selection, and I am afraid of ChatGPT just being the move in the future and making the selection process so standarized and boring. I fear for the future where I live. To me the best purpose for ChatGPT is to learn a little bit of like professional language when it comes about writing resumes, inspiration instead of just send it like that.


Great post tbh, 10/10
 
Interesting read, nice to see how the process works from the other end, if a bit disheartening, frankly.

Personally, my experience as someone who is and has been applying desperately for my first job for months is extremely frustrating. I have a relevant internship and all that, but I am constantly getting rejected or getting to the first stage of interviews and then not called back or, in an estimated 85% of cases, just getting straight ghosted, plus a particularly memorable experience where I was invited to an informational seminar and told I'd be sent a skills assessment the next week only to instead receive an email about how they'd decided to pursue other candidates. It's an exhausting process, and insights like the length or font size or colors on your resume being turnoffs or expressing interest in the field based on prior life experiences in your cover letter potentially marking you down points is kind of sad to hear since there's so much conflicting information on what people actually want, i.e. in college courses and seminars, they told us to make our cover letter have a personal touch to stand out from "standard" ones.

I'm also not neurotypical, so I have a very difficult time with things like "sound interested" and "don't sound desperate" since I am fundamentally not good at communicating in the way people want me to. Your many points about ChatGPT make me wonder if the way I communicate just comes off that way and I'm kind of fucked because I don't sound "human" enough in the way I talk and especially write. This is exacerbated by the fact that 90% of the interviews I do get ask roughly the same questions, so your point about not sounding "rehearsed" is also hard for me because it feels like I've answered the same question 20 times in the past few months already, so I'm just retreading the same ground about my notable projects, my plans for the future, what I like about data analysis, what kind of worker I am, etc.

This turned into kind of a rant, but I appreciate the insights nonetheless. I guess I'm just not sure what I'm supposed to do when this makes me realize that lack of knowledge on how to communicate in the "expected" way + severe anxiety means that getting a job is far more challenging than it already was for someone who doesn't share my same issues.
 
This is an informative look at how things happen in the other side of the spectrum, but all it does for me is reaffirm my belief that getting a job "legitimately through your own merits" is a crapshoot.

You can be the perfect candidate but "oh the company is in the wrong position at the wrong time" and your work applying still gets thrown into the trash like the chatgpt applications.
Agreed on it being a crapshoot -- although I find that half demoralizing and half comforting lol. Like hey if I get a rejection, there's a good chance it's because of factors outside of my control rather than them thinking I'm a uniquely unqualified idiot. And really, (depending on your field and industry), there's just soooooo many applicants to any given job, like if there's 1000 applicants and even 2% are perfect candidates including you, that's still 19 other people you have to beat. And to pick one person out of 20 perfect candidates, the hiring team has to weigh less important things like "this person has some experience in [adjacent topic] which none of the current team does so it'd be a useful new perspective", "this person seemed more friendly and enthusiastic during the call", "this person has a time zone offset of 8 hours from the current team"... etc.

I am curious how much a company really values "pushing back unreasonable request" beyond an application level. I got some unreasonable request with my deadlines on my last job and whenever I raised them up, I'd get an explanation that boiled down to "nuh uh, you can finish this by tonight".

EDIT: Oh yea, a good platform to create resumes is overleaf, which makes it easy to format.
I have heard of your situation but speaking for myself I am the expert of my domain at work; if I say something can't / shouldn't be done then people generally trust me and we'll figure out alternatives. For more context on the kinds of unreasonable requests I might get and how we resolve them...
  • a designer wants to understand x aspect of player behavior. they ask me for y data, thinking it will answer their questions. i tell them that y data will not actually answer their question -- z data would be better for that. we do that instead.
  • my manager asks if a deadline of tomorrow for x task is realistic. i say it's unlikely because i also have to do y and z tasks, which are higher priority. so either he moves the deadline for x, or we reassign y task to a less busy coworker, or we deprioritize z so i can do x first.
  • a producer makes a mockup of some bar graphs that they want me to make using our data visualization software. i understand what their goal is and know that the data visualization software recently added a new visualization type that would be more useful in this scenario. they don't know that because they don't use the data visualization software. i show them the new graph type and we agree to use that one instead.
In all of those cases if I just followed the given orders we would end up wasting time and resources and end up with inferior results. I think this is one of the big things that separates okay employees from great ones. Also, my coworkers will do the same to me -- sometimes I'll ask the engineers to implement some data signal for us and they'll say it's impossible or extremely costly for them, and we'll find some alternative or I'll decide we can live without it. But yeah it has to be a company that encourages that kind of dialogue between coworkers.

(You linked a pokepaste btw.)

Your many points about ChatGPT make me wonder if the way I communicate just comes off that way and I'm kind of fucked because I don't sound "human" enough in the way I talk and especially write.
I can't say for sure but personally I think ChatGPT writing is distinguishable from just "stiff" writing, especially when you've read hundreds of applications. Like I said in the OP, a huge number of candidates used the exact phrase "Day 1, Day 7, Day 30 retention" to answer a question asking about a metric they like to use -- not just the exact same choice of metric but also the exact same unnatural punctuation, capitalization, and grammar. It's like Mad Libs where every single response has the exact same phrases with only a couple blanks where they have original input. For example, take a question like "what was the most challenging project you worked on lately? what made it difficult and how did you overcome the challenges?"

Response 1: The most challenging project I worked on was building a model to predict customer retention for Walmart. The complexity arose from the vast amounts of unstructured data from multiple sources. To address the difficulties, I used this Python library to cleanse the data and presented my findings to stakeholders in a Tableau dashboard to bolster their decision-making processes.

Response 2: The most challenging project I worked on was analyzing repeat conversion for General Motors. The complexity arose from the sheer amounts of unstructured data from multiple sources. To address the difficulties, I used Apache Airflow to organize the data and presented my findings to stakeholders in a PowerBI dashboard to bolster their decision-making processes.

Response 3: The most challenging project I worked on was coding a chatbot for my college capstone project. The complexity arose from the massive amounts of unstructured data from multiple sources. To address the difficulties, I worked with data engineers to process the data and presented my findings to stakeholders in a Grafana dashboard to bolster their decision-making processes.

Response 4: The most challenging project I worked on lately was migrating monetization tables from the data lake to a new warehouse. Working with unfamiliar tables proved difficult as I was unaware of some nuances of the JSON-formatted data. The clients' documentation was lacking as well. However, I was able to write a script to restructure the data into a format more conducive to migrating everything before the deadline. My team and I did thorough QA checks throughout the process and ensured everything was preserved successfully.

Response 5: Hmm, I would say the churn simulator I built in R for my internship. My mentor was unexpectedly out of office and I was put in charge of the project even though it was only my second week there. I didn't have much experience using some of the R libraries that were necessary to code the simulator, but I watched some tutorial videos and talked with more knowledgeable people on the team and was able to get things working in time. It was definitely a challenge but I learned a lot and my stakeholders were happy with the results!

In my opinion, responses 1, 2, and 3 are obviously AI generated -- they're basically identical and don't even offer much substance. Response 4 is stiff but it doesn't use the exact same phrasing as the previous responses and it does a better job of actually answering the question. Response 5 is more casual / jaunty and similarly does a good job of actually telling me about the situation and what they did. I would be thrilled to see responses like 4 and 5. If you're worried you'll be mistaken for response 1-3... idk, you'd have to be REALLY unlucky imo.

The other thing is the "semantic buzzword" thing I mentioned in the OP. ChatGPT applications would say stuff like "i will leverage my expertise in machine learning to accelerate the data-driven decision-making processes and enhance player experiences by uncovering actionable insights to increase player engagement, which will optimize the company's success". If someone genuinely writes like that... I don't really want to hire them even if that's their real human writing... getting to the point without fluff is an important skill imo.

This is exacerbated by the fact that 90% of the interviews I do get ask roughly the same questions, so your point about not sounding "rehearsed" is also hard for me because it feels like I've answered the same question 20 times in the past few months already, so I'm just retreading the same ground about my notable projects, my plans for the future, what I like about data analysis, what kind of worker I am, etc.
Disclaimer that I'm allistic so this may not be helpful, but I think the rehearsing thing is more about tone of voice -- people sound different when they're reciting something or reading off a screen vs talking more conversationally / organically. And it's not that bad a thing to sound like you're reciting or reading off a screen but again if I have to pick between 20 perfect candidates, then I might go with someone who speaks more personably. Or, I'll ask a question and they'll say a rehearsed-sounding line that... doesn't answer the question I asked. It answers an adjacent question or a common interview question, but not the question I asked. Then I'm wondering, did they not understand the question? Would they be a coworker that often doesn't understand questions? Are they only able to answer questions that they prepared for? Would they be a coworker that can't think on the spot? Would they still be able to function in unfamiliar situations at work? I've had a couple video interviews where the candidate came across strong during the standard softball questions but totally fell apart once we went into specific scenarios that they couldn't prepare for. Thinking statistically I would prefer not to work with someone who has "overfit" to their training data and then poorly handles real data.
 
One kinda cunning but sinister thing I encountered reading resumes this year… there were a few times I was scanning resumes and got excited because the applicant’s most recent experience was super relevant. Gaming analytics, forecasting customer LTV, making visualizations to help the design team make decisions about features in the game, all these nice keywords but wait — all these bullets are under (e.g.) famous non-gaming company “Wells Fargo”. I go to their LinkedIn and see a totally different description for their Wells Fargo experience, one that actually makes sense for Wells Fargo. Eventually I realize the super relevant description is just from ChatGPT rewording our job posting and the applicant is programmatically injecting the ChatGPT-rewritten job description into the bullet points of their most recent work experience. Wow. It’s impressive and probably works really well against companies that use auto filters / AI to screen applications, but it sure is a pain for me on the hiring team.
For what it’s worth, this isn’t even a chatgpt thing, it long predates that. I remember when I was in college the idea was thrown around to put keywords on your resume in between sections, in white text, then print the word doc to PDF. The resume filters would pick up the keywords but people reading the PDF would never know!

For an end of interview question, ask what your interviewer likes the most about working there. It’s a bland and kind of corny question but it’s better than asking nothing and you’ll probably learn about some of the smaller perks (we get every other Friday in the summer off, when we work late we order in pizza, they love the gym in their building).

Send a 2-3 sentence thank you email for the interview, especially if your interviewer is older. And add in something unique if you can (“it was great to chat with someone also from hometown/xyz college/who also worked at x company”).

If you’re in an interview and feeling overwhelmed, take a beat and BREATHE. And if it’s a virtual interview, have some water nearby.
 
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