r/JobSearchAndResumes

Not a success story. Not a burnout confession. Just what I saw from the other side of the table.

I sold ATS software to mid-size companies from 2022 to 2025. Greenhouse, Lever, Ashby, you name it. My job was to convince HR directors that our parsing engine was industry-leading.. It was not. None of them are. And I need to tell you what actually happens when your resume hits these systems because the marketing is a lie.

What parsing actually means

When a company buys an ATS, they get a parser as part of the package. This parser reads your PDF and turns it into structured data. Name field. Email field. Work history. Skills. Sounds sophisticated. It is basically a glorified text extractor that breaks constantly.

I sat in maybe 200 demo calls where we would upload a "test resume" to show how smart our parser was. We had a curated set of 5 resumes that we knew worked. Clean formatting. Standard fonts. Single column. We never showed the edge cases. We never showed the Canva template that turned into alphabet soup. We never showed the two-column layout that merged job titles with dates into unreadable gibberish.

The HR directors bought it anyway. Because they do not understand parsing. They understand dashboards and reporting and cost-per-hire. Your resume readability is not their problem. It is yours.

The Workday thing specifically

Workday is the worst and it is not close. I lost a deal to them in 2023 and I was furious until I saw what their customers dealt with. Workday does not parse your resume into structured data consistently. It tries. It fails. Then it dumps whatever it could not read into a "notes" field that no recruiter ever searches.

I had a customer call me 6 months after they chose Workday. They were migrating back. Why? Because 40% of their inbound resumes had empty skill fields. The parser just... dropped them. Candidates with "Figma, Product Design, UX/UI" in a clean skills section got nothing. Zero skills extracted. Invisible in search.

This is not a Workday-specific problem. Every parser has blind spots. But Workday's are the most predictable and the least fixable because their architecture is rigid.

What actually survives parsing

I saw thousands of resumes in demo environments. The ones that parsed clean every time were boring. Single column. Standard fonts. No tables. No text boxes. No graphics. No headers or footers with critical info. Dates as Month Year. Skills as a simple comma-separated list.

The ones that died were "designed." Canva templates. Two-column layouts. Icons for contact info. Fancy headers. PDFs exported from design tools that embed text as vector shapes instead of actual text.

Here is the test I tell everyone. Open your PDF. Hit Ctrl A. Copy. Paste into Notepad. If you can read it cleanly, the parser can probably read it. If it is scrambled, missing chunks, or full of weird symbols, you are invisible.

The keyword thing is real but misunderstood

I am not going to repeat the "match exact words" advice you have heard a thousand times. You already know that. What I will tell you is that most companies do not configure their keyword search well.

Recruiters type Product Manager AND Python and expect magic. But the search might be set to "exact phrase" instead of "contains." So "Senior Product Manager" does not match "Product Manager." Or it is set to search the "parsed skills" field only, and if the parser dropped your skills, you are gone.

I saw a recruiter at a client site search for "Tableau" and get zero results. She knew they had Tableau users in the database. The parser had extracted "Tableau" as part of a bullet point and dumped it in the "experience description" field instead of the "skills" field. The search only looked at skills. Invisible.

The system is not just literal. It is literal and badly configured.

What I do now

I left HR tech sales in 2025. Burned out. Now I help friends with their job searches for free. I do not touch their writing. I just run their resume through the same parser test and show them what the machine sees.

For the tailoring part, I point them to tools that keep them in control. cvnomist is the one I mention most because it gives you a clean Word doc (the most safer and ATS friendly format) not just random suggestions and to manual work to do. My friend swears by Jobscan but I find it overwhelming. It dumps 40 suggestions and you spend an hour manually rebuilding everything... you could chose the one that suits you more!

The point is not the tool. The point is to understand what the machine is doing to your document before a human ever sees it.

The honest bottom line

ATS companies sell "AI-powered matching" and "intelligent parsing" and "seamless candidate experience." It is mostly marketing. The reality is a patchwork of parsers that break in predictable ways, search engines that are literal to the point of stupidity, and recruiters who are too busy to notice the system is hiding good people.

Your job is not to impress the ATS. Your job is to survive it. Plain text. Clean formatting. Exact keywords in the right fields. And a backup plan that does not depend on the parser getting it right.

That is what I learned from 3 years selling these systems. Not how to optimize for them. How to not get destroyed by them.

I’ve been working on a federal contract for the last four years. I’ve done some great work, worked w great people, and have generally been happy. Last year our contract nearly didn’t get renewed so I thought “huh, I should probably get ahead of this before next year”. And I did just that.

I started looking for different opportunities in various industries. Wasn’t finding anything so I started getting more serious. Updated my resume, utilized AI in multiple ways, researched companies, tried LinkedIn, Indeed, and many more sites, tried applying directly, created a script to search for social media posts for job postings, etc. As the months went by I tried more and more methods to find something. And nothing. Nothing at all. Not a single response from anyone on any application.

But I kept on keeping on. Changed tactics, made posts, did more research, and still…nothing.

I decided to step back and take a break this last June. Thought perhaps I needed some perspective. And then 10 days ago we received word our contract is not moving forward and I have about 30 days to find a job.

The only difference now is I can look openly without keeping it to myself. I thought it might make a difference. And while I’ve had plenty of people reach out w words of encouragement I’m no where closer to finding anything. I cannot for the life of me get any responses from any job.

I’m highly experienced; 20 years as a military officer. MBA, Six Sigma black belt, PMP, experience in Project management, process improvement, AI integration & adoption, transformation, operations, logistics & supply chain management, and more.

I cannot understand where I’m failing or what I’m doing wrong. This market doesn’t make sense to me. I’ve worked my entire adult life to obtain the right experience, education, certifications, and done everything “right”, but suddenly none of that seems to matter.

I suppose this post is mostly to vent my frustration and see if I’m alone in this. You can only get ignored and rejected so many times without starting to feel worthless. I’m not going to give up. I have too many people depending on me to, but this pressure is building. I just want things to make sense.

The numbers, since they help: Over about 5 months, I applied to 200+ jobs, interviewed with roughly 25 companies, and made it to the final round at 4. One of those four became the offer. If your ratio feels brutal right now, dozens of applications for one real conversation, that’s not you failing. That’s the math of this market.

Where I started. I was in a job that was quietly breaking me down. Without getting into specifics, it was a bad environment, and I hit the point of crying at my desk more days than I’d like to admit. Eventually I made a hard call: I took a leave from work and focused on the search. I was on leave for almost the entire 3 months before I got my offer. I know that’s not an option for everyone, and I don’t take it for granted. But if you’re deep in burnout, I’ll say this plainly: protecting your health enough to even run a search is not weakness. It’s what made the search possible for me at all.

I would wake up early in the morning just to apply for jobs and would apply within the day and being on leave made it easy for me to schedule interviews. I still had to remind myself to take breaks and have self care days as the interviewing process was starting to drain me and burn me out. It’s difficult to receive so much rejection.

The thing that surprised me most: how I actually found the job. I went to a lot of networking events, mostly alumni ones. I did the whole “your network is everything” thing everyone preaches, and I’m glad I did; it’s good for you in other ways. But here’s the twist: the role I landed, I found on LinkedIn and applied to cold. No connection, no referral, no inside track. One thing that genuinely helped my search was upgrading to LinkedIn Premium. The visibility into who was hiring, the application insights, and being able to see how I stacked up were worth it for me. But the job itself came the “boring” way: right posting, tailored application, strong interview. So if you’re grinding networking events and feeling like it’s not converting, keep doing them, but don’t discount the plain old application.

What worked in the interviews:

**•	Tailoring to the company’s actual moment, not the job description.** My best interviews were the ones where I understood where the company was *going*, its growth stage, its pain points, and spoke to that. It turns you from “applicant” into “person who gets it.”  
**•	Leading with a point of view, not my resume.** They already have my resume. What they don’t have is how I think. A clear take first, then a specific number or story to back it, landed every time.  
**•	A thank-you note that addressed their actual hesitation.** After one final round I could tell the interviewer had a single reservation. My note answered it directly instead of just saying “thanks.” I think it mattered.  
**•	Ending answers on a number or a name.** Vague, trailing answers kill momentum. Specifics stick.

What didn’t work (the part nobody posts):

**•**	I **spiraled.** I over-read every recruiter email like a tarot card. I used an email tracker to see if they’d opened my messages. I convinced myself a normal four-day silence meant rejection. None of it was real, and it cost me sleep I badly needed.  
**•**	I let old fears almost talk me out of believing an offer was real *even after I got it.*  
**•**	Reading the tea leaves never once changed an outcome. The decision was already made; I was just torturing myself in the waiting.

How AI fit in, and the one trick that helped most. I used AI heavily throughout, and it helped, but not how people assume. It didn’t write my story for me. I leaned on Claude the most, especially for tailoring my resume to each role and running mock interviews, and I used ChatGPT and Gemini alongside it. I ended up upgrading to Claude Premium, and for me it was worth it. What they did:

**•**	Ran **mock interviews** and gave me blunt feedback on where I was hedging or trailing off.  
**•**	Here’s the tactic I’d most recommend: I started **recording my real interviews, then uploading the transcripts into AI** to debrief. Getting an honest, specific read on what I actually said, where I rambled, where I buried the answer, where I hedged, was worth more than any generic prep. My mock interviews got dramatically better once they were built on my *real* answers instead of hypotheticals. (One caveat: check your local recording laws. Some states require all parties to consent.)  
**•	Tailored my resume** for individual roles, matching my experience to what each posting actually emphasized.  
**•**	Helped me **research companies** and build sharp, specific questions.  
**•**	Drafted and tightened **thank-you notes and follow-ups** when I was too in my own head to find the words.  
**•**	Talked me down from the spiral more than once, and were honest when I was catastrophizing.

The limit: AI can’t do the hard part. It can’t sit in the chair, endure the waiting, or make you resilient. It sharpens what you bring; it doesn’t replace it. The showing up was still mine.

What carried me through. The reframe that helped most: I wasn’t behind, and I wasn’t failing. Getting deep into processes is the hard part, and I kept doing it. The skill that gets you to a final round doesn’t vanish when you get a no. It just hasn’t found the right yes yet.

Where I landed. I was intentional about this search. I knew what I wanted: a builder role, reporting to an executive, fully remote. I stopped applying to anything that wasn’t those things, even when I was scared and tempted to take whatever came. And I got all three. A role where I get to build something from the ground up, reporting straight to leadership, working remotely, at a place where the people actually seem glad I’m coming. I got out, and I got up.

If you’re in the bad job right now, exhausted and doubting yourself: keep feeding the funnel, keep hope alive, be honest in the room, protect your health, and don’t let silence convince you of things that aren’t true. It turned around for me fast, after months of it looking like it never would.

Hey everyone.

I'm writing because I have been on the job search for five months. I was let go while fasting during Ramadan, and a few months later a beloved family member died. My adoptive dad is really sick and thinking of moving out of the country. I am struggling to pay my mortgage and make it by with unemployment. I'm married and have four cats. So there's a lot on the line for me and my little family.

To the subject of a job application. I was feeling really good about the opportunity. I have been applying to open positions, even got to an intro interview, and have spoken to members of the organization on LinkedIn. Last week, I was able to get a member of the company to submit a referral for my application. Still insta rejected...

I'm feeling pretty bummed about this one because of the effort it took to get the referral and just in general, this has not been an easy year.

The Question: Have you ever asked a company to reconsider your application? Is it worth it? Any advice I may be missing also welcome.

TL;DR: After a ton of rejections, I want to know... Is it possible to ask for a company that rejected you to reconsider?

I spent 2 hours last week extracting keywords from a single job posting.

By hand. Reading the posting line by line, copying words into a spreadsheet, then manually adding them to my resume. And I still missed half the good ones.

Then it clicked why I was doing it wrong.

Most people, me included for like forever, grab keywords from the obvious places. The posting says Python, SQL, Tableau so they slap those three words into their skills section and call it a day.

That's maybe 30% of what the recruiter is actually searching for.

I was grabbing coffee with a recruiter last week, not from a company I applied to, just a friend of a friend, and she showed me what she actually types when she looks for candidates in her ATS.

She didn't just search Python.

She searched stuff like dashboard automation, stakeholder reporting, data pipeline optimization, cross functional collaboration with finance teams.

These aren't sitting in a nice skills list. They're buried in the job description. Hidden in the responsibilities. Scattered across different bullets.

And when candidates build resumes they miss them completely because they're not labeled as skills.

Where the real keywords actually hide

Job postings are weirdly written. Usually a hiring manager throws it together and they're not great at organizing info. So the real keywords get scattered everywhere.

In the about the role section: You'll be responsible for building scalable ETL pipelines that process customer behavioral data. There's your keyword. ETL pipelines. But it's buried in a sentence, not in a skills list.

In the what you'll do bullets: Collaborate with product, design, and marketing to define success metrics for new features. That's three keywords in one sentence. Cross functional collaboration, product management, metrics definition. But it's embedded so you skip it if you're just scanning for tools.

In the ideal candidate section: Experience with Git version control and CI/CD practices essential. Most people write Git and miss the CI/CD part because it's an abbreviation tucked at the end.

How I started extracting them manually

I changed my process and started being more intentional. This is what I do now.

First, read the entire posting twice. First read just absorb the vibe, what is this role really about, what's the core problem they're trying to solve. Second read grab a notepad and start writing down every phrase that feels specific, not generic. Specific.

Second, look for action verb plus skill pairs. Every time you see a verb combined with a technical thing, that's a keyword phrase to grab. Develop data models becomes data modeling. Optimize SQL queries becomes query optimization. Design user workflows becomes workflow design or UX design depending on context.

Third, check for industry specific language. Every industry has its own dialect. Finance people say reconciliation and compliance audits. Healthcare people say HIPAA compliance and patient data integrity. If the posting uses that language, that's a huge signal. The ATS is probably filtering for exactly that language.

Fourth, look at the years of experience section. This is where they accidentally reveal search criteria. If it says 5+ years managing cross functional teams, they are probably searching for cross functional team leadership or team management experience.

Fifth, scan for tools and software, the obvious stuff, but do it systematically. Grab Salesforce, Jira, Figma, Looker, whatever. But organize them by category, like CRM tools, project management, analytics, design. That helps you see patterns.

The real problem with doing it this way

I can extract like 20+ high quality keywords now if I sit down for 30 minutes per posting.

But 30 minutes per posting is still a lot. If you're applying to 5 jobs a day, which honestly you should be if you want real volume, that's 3 to 4 hours just on keyword extraction. Before you even tailor the resume.

And after 5 jobs your brain is fried. You start missing keywords. You start copy pasting the wrong ones into the wrong resume sections.

I was doing this and my callback rate went up, but I was burning out faster than before because now I had this extra tedious step.

What changed, the automation part

I kept thinking why can't I just paste a job posting into something and have it tell me the keywords I'm missing. The information is all there, a computer could parse it way faster than me. Extract the phrases, match them to my existing resume, show me what's missing.

I started testing different tools to automate it. Most of them are trash. They just grab the first 20 keywords they find and call it a day. Or they add random buzzwords that aren't even in the posting.

But I found a couple that actually work.

CVnomist does this really well. It extracts the right keywords and retweak a new tailored resume based on the generic one you provide to match exactly the recruiters terminology and intent. No fluff, no random buzzwords. Just actual matches..

CVmaniac does something similar if you prefer a different interface.

And honestly, if you know your way around Claude prompt engineering, you can get it to work too.

Whatever you do, stay away from ChatGPT for this. I've seen it invent keywords that don't exist in the posting. Make up numbers and achievements. It's basically lying on your behalf without you realizing it.

The tool isn't the point though. The point is you should be extracting keywords systematically. Not randomly. Not just the obvious ones. The hidden ones that actually make a difference in ATS searches.

If you do it manually, great. You'll get better results than 90% of job seekers immediately.

If you want to save the 30 minutes per posting and keep your sanity intact, use a tool that actually knows what it's doing.

But you have to understand what you're automating first. Otherwise you'll use the tool wrong and wonder why it's not working.

The keywords nobody thinks to include

Real quick, here are the ones that get missed most often.

Soft skills that are actually measurable: mentorship and coaching, this isn't just wishy washy team player stuff, it's a specific capability ATSs search for. Cross functional alignment, different from collaboration, more specific to internal processes. Requirements gathering, used more often than stakeholder management in tech.

Acronyms and abbreviations that matter: KPI, OKR, ROI, CI/CD. Don't just write the full version. Write the acronym too if it appears in the posting.

Process and methodology keywords: agile sprint planning, kanban workflow, SAFe, waterfall project management. These get missed because they're often mentioned casually in the posting, not as a formal requirement.

Where to put them, this is critical

Okay so you've extracted 25 keywords. Now what. Don't just dump them everywhere. That's how resumes end up looking robotic.

Put them in three places.

Your headline, swap in the exact job title they're using plus 3 to 4 top keywords. Like Senior Data Analyst | Python | SQL | Tableau | Revenue Impact Focus

Your skills section, this is where the ATS looks first. List 15 to 30 hard skills, no fluff. Include the keywords you extracted.

Your bullet points, mention 2 to 3 of the most relevant keywords naturally in your descriptions. Like Built ETL pipelines automating data ingestion from 5 sources, reducing manual processing time by 40%. The keyword ETL pipelines is there because it was in the posting. It looks natural because it is natural if you actually did that work.

One more thing

If you've been applying for months and getting nothing, this might be the missing piece.

But also be honest with yourself. If the posting asks for 5 years of experience and you have 2, no amount of keyword matching will fix that. The knockout questions will catch you.

Keyword extraction gets you past the search filter. It doesn't get you past the actual requirements.

Use this method smart. Not as a way to fake experience you don't have. As a way to make sure real experience actually shows up in the search results.

Because right now you're probably invisible not because you're unqualified. You're invisible because the ATS literally can't find you.

Fix that first. And best of luck for you all. & AMA in comments!

So.....I have decided to become a freelancer after 12+ years of administrative assistant, customer service and now I'm a private PA/EA, self employed.
I've been helping 7 professionals so far and noticed that their CVs needed change, or that their communication skills needed an update!
Also..every time you see a job that you like, you have to use key words that matches with the job description that is advertised and that you are applying for. It is all very time consuming and a lot of attention to details comes in place.
Can anyone recommend what you personally do when you are looking for jobs? Do you change your CV every single time? Do you always have a covering letter ready for each job you apply for?
I just need couple of viewpoints/opinions as I'm coaching professionals lately and help them with job search/CV help/LinkedIn profile and specifically in the US/UK....to understand how they "job search", where they apply to and where the difficulty starts?

This is not a rant about job hunting being hard. This is a technical breakdown of why Workday specifically is a nightmare and what you can do about it. I got laid off from a logistics company last year. Four years in operations, decent track record, savings for maybe five months in Chicago. I thought I'd be fine by May. Sadly NO.

I applied to maybe 380 jobs. About 120 of them were through Workday portals. And I started noticing something weird. The same resume. The same PDF. But the auto-filled forms were completely different depending on the company.

What Workday actually does to your resume

You upload your PDF. Workday "parses" it. Then it auto-populates fields. Name. Email. Phone. Work history. Education. Skills. Sounds convenient. It is not. I started screenshotting the auto-filled forms before I corrected them. Here is what I found. My name: "Alex Chen" became "Chen, Alex" on one portal. Became "A. Chen" on another. Became "Alex" with no last name on a third. My phone: dropped the area code on two portals. Added a random +1 country code on another even though I am in the US. My work history: "Senior Operations Analyst, Mar 2021 - Jul 2025" got split into two separate jobs. "Senior Operations Analyst" with no dates. And a second mystery job called "Mar 2021." No end date. No company name. My most recent title: "Senior Operations Analyst" became "Operations Analyst" on four portals. "Analyst" on two. "Senior" on one with no job title attached. My skills: a block of 20 hard skills got dumped into a single text field as one long sentence. "SQL Python Tableau Excel Salesforce" became "SQLPythonTableauExcelSalesforce" with no spaces. Unreadable. Unsearchable. My education: "University of Michigan, BS Economics, 2017" got parsed as "University of Michigan" with no degree. And a separate field "BS Economics 2017" with no school.

This is not occasional.

This is systematic.

Workday parses resumes differently for every company that uses it. Because each company configures their own fields, their own mapping rules, their own validation. There is no standard. Your clean PDF goes in. Garbage comes out. Why this kills you Recruiters search the parsed data, not your PDF. If Workday misreads your title, you are invisible. If it drops your dates, you look like you have no experience. If it dumps your skills into an unreadable blob, no keyword search will find you. I tested this. I applied to the same company twice. Once through Workday with my standard PDF. Once by emailing the recruiter directly with the same PDF attached. The Workday application got auto-rejected in 48 hours. The email got a callback in 3 days. Same resume. Different channel. Different outcome.

What I started doing

I stopped trusting Workday to parse anything correctly.

Now I treat every Workday application like a manual data entry job. Upload your PDF. Then click through every single field and fix it. Name. Phone. Email. Every job title. Every date. Every skill. Do not assume the parser got it right. It did not. I also started keeping a text file with my info in Workday-friendly chunks. Name on one line. Phone with area code on another. Each job as: Company | Title | Start Month Year | End Month Year. Skills as a comma-separated list. I copy-paste these into the fields directly. Bypass the parser entirely.

The funnel that actually worked

Here is my current workflow. Find job on LinkedIn. Check if it is Workday. You can tell by the URL or the apply button. If it is Workday, I do not click apply yet. I go to the company careers page directly. Some companies have a non-Workday application path if you dig. Email the hiring manager. Email the recruiter. Find them on LinkedIn. Send a short message with my resume attached. Skip the portal entirely. If I have to use Workday, I use cvnomist first. It gives me a clean tailored Word doc with my info structured in a way that parses better. Plain text. Standard fonts. No columns. No graphics. Dates written as Month Year. Skills as a clean comma list. I upload that instead of my designed PDF. Then I still manually check every field. The Word doc from cvnomist is magical, not only it is tailored to match the recruiter terminology and JD... It removes the formatting that confuses Workday. Tables, headers, footers, multi-column layouts. All of that breaks parsers. A plain single-column Word doc is boring but it survives.

The numbers

Before I figured this out: 40 Workday applications, 1 callback. 2.5% rate. after I started manual fixing and using plain text uploads: 35 Workday applications, 6 callbacks. 17% rate. The difference is not my experience. It is whether Workday can actually read my resume.

What I tell people now Workday is not your friend. It is an ATS but also a form parser that gets confused by formatting it does not expect.

Treat every field like it is wrong. Fix it manually. or skip Workday entirely if you can find another path. Upload a plain text-friendly document. check every auto-filled field. copy-paste your info directly when possible.

And always, always have a direct email or LinkedIn message as your Plan B.

The system is broken. But it is broken in predictable ways. Learn the breakage. Work around it. then close the laptop and go live your life. That is the only way through.

Got laid off from a Series B healthtech company in July 2025. Product ops, 4 years, decent exits. I thought I'd bounce back fast. Toronto market, lots of startups, I had a network. I was completely wrong.

8 months. 270 applications, all LinkedIn Easy Apply. I was actually proud of how efficient I was. 3 minutes per app. Upload resume, click submit, next. I treated it like a video game, my high score was how many jobs I applied to. I told myself volume would win.

Zero callbacks. Not one. I started thinking my resume was broken, my experience was fake, the industry had moved on. I was 31, living in a condo I could barely afford on EI, eating rice and eggs for dinner most nights.

Then the moment I realized I was invisible. In August I got coffee with a former coworker who had moved into recruiting. She asked to see my resume. I showed her. She pulled up her laptop, opened her company's ATS and typed Product Manager AND SQL AND Figma into the search bar.

My name did not appear.

She showed me why. LinkedIn Easy Apply had flattened my Senior Product Manager title to Product Manager. It had stripped the months from my dates, making my 4 years look like 2. It had mislabeled my skills, turning stakeholder communication into communication skills, which is a soft skill no recruiter ever searches for.

I had applied to her company 3 months earlier. Through Easy Apply. I was in their database. But I was invisible. Not rejected. Just not findable.

She pulled up my actual resume PDF, the one I would have uploaded directly to their careers page. She searched again using the PDF data. I appeared. First page. She said I would have called you.

I wanted to throw my phone through the window.

What I changed after that was pretty simple. I stopped using LinkedIn Easy Apply entirely. Every job I found on LinkedIn, I traced back to the company careers page. Every single one. It added maybe 4 minutes per application but my resume went in clean. No double parsing, no flattened titles, no stripped dates.

I also stopped applying to jobs older than 48 hours. LinkedIn sorts by relevance, not recency. So a job posted 6 days ago with 800 applicants sits at the top of your feed, and a job posted 3 hours ago with 12 applicants is buried at the bottom. I started using the URL hack. Changed r86400 to r3600 in the LinkedIn jobs filter. Checked at 7am, noon, and 5pm. Applied to anything relevant within the first hour.

My callback rate went from 0% to about 8% just from those two changes. Being early and skipping the broken middleman.

The tailoring thing is real and I actually tracked it. I ran an experiment for 6 weeks. 60 applications. 30 generic, 30 tailored. Generic was exact same resume, no changes, sent as is. Zero callbacks. Tailored was I swapped the headline to match the posting title, added missing keywords to my skills section, mirrored 3 to 5 exact phrases from the job description in my bullets. 7 callbacks. That is not a small difference. That is infinite versus something.

I used cvnomist to speed up the matching. It pulls keywords from a posting, highlights gaps, and spits out a Word doc I can edit in 2 minutes. Not a rewrite. Not AI slop. Just a clean map of what I am missing and where to put it. Saved me maybe 12 minutes per application, which is how I pushed volume without burning out.

The Canadian thing nobody really talks about. I kept seeing posts saying hiring freezes in Q4 and nobody gets hired in December. That was not my experience at all. I got my contract gig in January helping a startup set up their Greenhouse, and I got my full time offer earlier this year in March. Both came from applying in windows other people ignored.

In Ontario, January is when Q1 budgets unlock. Recruiters are active, they are searching their databases, they are filling roles that got approved over the holidays. The quiet periods are actually an advantage. Fewer applicants, less noise, your tailored resume has a better shot because the recruiter is not drowning in 500 submissions.

Also since January this year Ontario employers with 25+ employees must respond to interviewed candidates within 45 days. Must post real vacancies, not talent pool bait. Must disclose salary ranges. Must tell you if AI screens your application. This has been live for 7 months now and it's huge. Less ghosting, less fake postings, more transparency. Use it.

What I do now is I check LinkedIn 3 times a day with the URL hack. I apply within the first hour. I never use Easy Apply. I always go to the company careers page. I spend 10 minutes tailoring with cvnomist. I apply. I close the laptop. I go to the gym or I walk the Beltline or I meet a friend without checking my phone every 5 minutes.

I got my offer earlier this year in March. Applied at 7:23am on a Tuesday. Posting was 19 minutes old. Went through the company careers page directly. Spent 8 minutes tailoring. Got the callback that afternoon..

AMA in comments!

As the title states I was laid off September of 2025. I’ve had a good number of interviews and final rounds. but I’m not landing roles. I’ve been told I’m a perfect cultural fit and match but ultimately im passed on a week or so later. some people say I should follow up more , make them laugh, be phony… I’m tired of the politics I just want a job. About me compliance professional with 10 years experience in AML/BSA , fraud , and risk. Experienced in cryptocurrency , fintech , wealth management (RIA/Wealth management) , and banking.

I use resumenow templates for my resumes and I notice that whenever I autofill my Workday applications using them, it autofills some of the dates wrong and spacing/parsing is off. Does this mean the same thing will happen when my resume goes through ATS? Or is this just a Workday issue?

[removed]

This is going to sound backwards but I spent 14 months doing what everyone tells you to do. Job boards, company sites, LinkedIn Easy Apply. I was a machine. 400+ applications. Maybe 3 phone screens total. All of them went dead after the first call.

Then I stopped. Not because I gave up. Because I realized I was fishing in the ocean with a thousand other boats when there were stocked ponds like 20 minutes away that nobody was really talking about.

Everyone is crowded on LinkedIn and Indeed. That's the ocean. Those postings get 600 applicants in 2 days and half of them are already filled internally. The real jobs, the ones that actually get filled by someone who is not already inside, they live in smaller places.

For me the ponds were these. Alumni Slack for my last company. I didn't even know it existed until a former coworker invited me. Someone posted a role in the jobs channel that was never on any job board. I applied. Got an interview in 48 hours because the hiring manager was also in that Slack. Second one was industry Discords. I'm in fintech so I joined 3 of them. People post stuff like "my team is hiring a PM for onboarding" before it ever hits Greenhouse. You just DM them directly. No ATS gate at first, just a conversation. Third one was a dumb simple group text I started with 6 people I used to work with. We just share leads when we see them. One of them forwarded me a role at his new company that wasn't posted yet, I went through his internal referral portal and completely skipped the public ATS.

Two more that actually worked for me that people sleep on. University career boards. Even if you didn't go there. A lot of state schools have public job boards and local companies post there first because they want local grads. I found a role on one that was never on LinkedIn and got a callback. And local tech meetup mailing lists. Super old school. But some companies still post there first because they want someone who actually shows up to the meetup, not a random remote applicant from across the country.

I applied to 23 jobs through those channels in 6 weeks. Got 7 interviews. 2 offers. Took one. Compare that to 400+ on public boards with 3 phone screens. The math is not even close.

And here's the extra value part I wish someone told me earlier. How to not be spammy in those ponds. I didn't just join and start asking for jobs. I lurked for like 2 weeks. Answered questions when I could. Shared a template I had for a dashboard spec. Helped someone debug a SQL query. So when I did finally say hey I'm looking, people actually knew my name. In one Slack the hiring manager told me he recognized my handle because I had helped him 3 months before. That's the whole game in a small pond. Be a known quantity before you ever need anything.

But you still need a resume that passes when you do hit an ATS. Because not every stocked pond is a backdoor. Some of them still run you through the system after the intro.

So I built one master resume that was just honest and clear. Eight pages long, everything I ever did, every tool, every number I could prove. Then for each posting I spend like 10 minutes tailoring. The headline at the very top matches their exact posting title. If they call it Senior Product Manager, Platform that is what I write at the top. My real title stays in my work history, that doesn't change. Skills section is 15 to 25 hard skills only. SQL, Python, Tableau, Salesforce, Figma. No soft skills. No leadership, no communication. Recruiters search for tools, not personality traits. And bullets I write like what I did, what I used, what happened. Built a Tableau dashboard that cut reporting time by 6 hours a week. Plain English. No orchestrated, no leveraged, no synergized.

I used cvnomist to speed up the matching part. It pulls keywords from a posting, shows me what is missing, and gives me a clean Word doc I can edit in seconds. That is it. No other tools. Just me, my master resume, and a quick check before I send.

The biggest shift though was mental. When I was spraying 400 applications into the void each one felt like a prayer. I would attach so much hope to every send. I would imagine telling my parents I got it. So every silence felt personal, every rejection felt like proof I was broken.

When I was fishing in stocked ponds each application felt like starting a conversation. I knew the role was real, I knew the person posting it was reachable, I knew I wasn't one of a thousand faceless PDFs. The callback rate was higher because competition was lower, yeah, but also because my energy was different. I wasn't desperate and spraying. I was targeted and calm. I think people can feel that in how you write your DM.

What I tell people now is stop treating job boards like they are the only water. They are not. They are the most crowded, noisiest, most demoralizing place to look. They should be like 20% of your time, not 100%.

Find your stocked ponds. Alumni channels, industry Discords, former coworker text chain, school boards, meetup lists, niche communities where jobs get shared before they go public. Make a list of 5 of them. Join them. Lurk for a week. Help with something small. Then tell people what you're looking for in one sentence.

Build one honest, clear, keyword matched master resume. Spend 10 minutes tailoring per app, then spend the rest of your time just showing up consistently in those communities.

The job I got came from a Slack channel. The hiring manager recognized my name because I had answered questions in that channel for months before I ever needed a job. I wasn't a resume to him. I was a person who had helped him debug something once. That is the real hack. Not keywords, not tools. Just being a known quantity in a small pond before you ever apply.

Fix your resume, find your ponds, show up consistently. The job will come.

This is going to be a long post, and I will probably break the full story into several posts because there are a lot of lessons I learned throughout this process. Some are about AI, some about interviewing, and others about dealing with rejection and figuring out what you are doing wrong when you keep getting very close but can't get across the finish line. I hope sharing my experience can help someone going through the same thing.

For some background, I am an Engineering Executive with close to 30 years of experience building and leading technical organizations around the world. I've been an expat twice, speak three languages fluently, have managed global organizations, and have been responsible for programs worth up to $3 billion.

I have also been unemployed for the last six months.

I voluntarily decided to leave my previous company, which is a story for a different post. Over the last year, however, I have consistently landed interviews for corporate leadership roles. Getting interviews was never really my problem. I had no issues talking with recruiters, and I successfully interviewed with VPs and SVPs of HR, VPs of Operations, CFOs, Business Unit leaders, and SVPs of Engineering. I would go through four, five, sometimes more interviews and make it all the way to the end.

Then I would meet the CEO.

Five CEO interviews. Five rejections.

That became my curse.

After the second rejection, I hired an HR consultant specifically to help me understand what I was doing wrong and get through that final interview. It didn't help. Actually, I think it made things worse because it drove my frustration even further. Looking back, I consider most of it a waste of time and money. Probably the only really useful thing I got from the experience was having my resume rewritten by a professional HR consultant the agency subcontracted.

A couple of months ago, I started reading about people using AI as a copilot in their job searches, so I decided to give it a shot. I used ChatGPT, but I approached it a little differently than I had seen other people doing. I wasn't particularly interested in having AI write generic interview answers for me. I wanted it to help me understand why I kept failing at exactly the same point.

I started the conversation by telling ChatGPT that I wanted direct, critical feedback. I didn't need encouragement or reassurance. I wanted it to challenge me and tell me what was wrong with my interviewing strategy.

Then I gave it as much information as possible.

I uploaded my resume, but more importantly, I had been taking notes throughout my job search. I had documented the roles I interviewed for, insights recruiters gave me about what companies were looking for, questions I had been asked, and whatever feedback recruiters were willing to give me after a rejection. I also had a log of around 20 interview questions with prepared answers. Every time somebody asked me a new question, I added it to the log.

So instead of asking ChatGPT, "How do I interview better?", I was essentially saying: Here is my career. Here are my answers. Here is what happened in multiple interview processes. Here is the feedback I received. I can consistently pass recruiters, HR, Engineering, Operations and other senior executives, but I have now been rejected by five CEOs. Find the pattern. What am I doing wrong?

The answer was uncomfortable, but it made a lot of sense.

I was presenting myself as a very accomplished technical leader with an extensive background managing projects, programs and engineering organizations around the world. The problem was that, at the CEO level, I was still talking too much like an engineer or project leader. I talked about projects, execution, technical problems, teams, budgets and results. What wasn't coming through strongly enough was my ability to operate as a business partner: understanding the business strategy, allocating capital, managing risk, making tradeoffs, challenging assumptions and aligning the Engineering strategy with what the company was actually trying to accomplish.

That was probably the biggest realization of my entire job search. I thought I was demonstrating executive experience by talking about the scale and complexity of what I had done. The CEOs were looking for something different. They wanted to understand how I thought as a business executive.

So I started going through the questions in my interview log with ChatGPT one by one. I wasn't changing the stories, exaggerating accomplishments or inventing new experiences. The facts remained exactly the same. What changed was how I framed them.

For example, instead of saying, "I executed a project to solve A and achieved X," the answer became closer to, "The business was facing A. I aligned with the leadership team on the business objective and the tradeoffs, developed a technical strategy to address it, and the result was X."

Same story. Same accomplishment. Same person. Completely different message.

We went through dozens of questions this way. Then I practiced them over and over. It probably took me two weeks to retrain my brain because, after almost 30 years as an engineer, my natural instinct is to explain how I solved the problem. I needed to get much better at explaining why the problem mattered to the business, how I made the decision, what tradeoffs were involved, and what changed because of it.

Right around that time, I landed an interview for an SVP-level role. This became the real-world test of whether any of this was actually useful.

I asked the recruiter for the Job Description and uploaded it into the same ChatGPT conversation, along with public information I had collected about the company. I asked ChatGPT to analyze the role against my experience and identify potential gaps, areas I should emphasize, concerns the company might have about me, and questions I was likely to be asked.

I passed the recruiter interview, then the Director of Talent Acquisition, then an SVP of Global HR, and then an SVP from one of the businesses.

Before every interview, I asked the headhunter a very simple question: "What is this person looking for?"

I would take notes on the answer and enter that information into my ChatGPT conversation. Then I would ask how that new information should affect my interview strategy. After each interview, I also added anything new I had learned.

Something interesting started happening as I went deeper into the process. The differences between the answers I had prepared myself and what ChatGPT was recommending became smaller and smaller. I needed to adjust my responses less and less.

That, to me, was actually the point.

I wasn't trying to have AI interview for me. I was using AI to retrain the way I thought about and communicated my own experience.

Eventually I was invited to an onsite interview at the company's corporate office in a large U.S. city. I prepared for it the same way. I wrote down my main talking points in a notebook and practiced the roughly 40 questions I had accumulated by that point.

During the onsite, I met with the VP of HR, two business leaders, the COO and finally the CEO.

And here we go again.

The CEO interview was intense. He asked a flurry of technical questions framed around things like, "How would you solve X?" and "Tell me about a time when you failed on a project and what did you learn from it?" He pressed me particularly hard on the failure question.

There were also a few technical concepts where I didn't think my explanations landed as clearly as I wanted them to. In the past, I probably would have left the interview, replayed everything in my head for the next several days, and waited for the recruiter to call.

This time I did something different.

On the way to the airport, while everything was still fresh in my mind, I wrote down as much as I could remember: questions, reactions, things I thought went well, and things I thought hadn't. I drafted individual follow-up emails for the people I had interviewed with. For the CEO, I spent additional time clarifying some of the technical points we had discussed and included supporting material where I thought it would be useful. I ran the drafts through ChatGPT, edited them myself, and sent them.

Then I waited.

About a week later, I got a call from the recruiter telling me things were "going in the right direction," but that some stakeholders needed further alignment. I put that information into the same ChatGPT conversation and used it to think through what might be happening, what the potential concerns could still be, and how I should handle the next steps.

A few days later, I received a text message telling me they were moving ahead with an offer and were authorizing the role for me.

By the end of the week, I had the offer in my hands.

I start my new role next week.

Looking back at the process, I don't think AI "got me a job." It didn't create my 30 years of experience, lead my teams, execute my projects or sit across the table from the CEO. And no amount of prompting could compensate if I didn't have the experience to back up what I was saying.

What AI did extremely well was help me see a pattern in my own behavior that I wasn't seeing myself.

And I think this is where there is a much bigger opportunity for people using AI in a job search. Don't just upload your resume and ask it to make it better. Don't just ask for "10 questions I might get in an interview." And definitely don't memorize a bunch of AI-generated answers and try to pretend they're yours.

Give it your actual history. Give it your resume. Give it the Job Description. Keep a log of the questions people actually ask you and the answers you actually give. Write down what recruiters tell you about the hiring manager. After an interview, write down what happened while it's still fresh in your head. When you get rejected, get as much feedback as you can and add that too.

Then ask AI to find the patterns.

Ask it what you're not seeing. Challenge its conclusions when they don't make sense. Ask it what a CEO might hear when you give an answer versus what you think you're communicating. Ask it to identify contradictions between how you describe yourself and what the role actually requires.

Most importantly, don't use AI to create a different candidate. Use it to understand how the candidate you already are is being perceived.

Five CEO rejections in a row hurt. When you repeatedly get that close, you start questioning everything. Am I too old? Too expensive? Too specialized? Overqualified? Am I coming from the wrong industry? Or am I simply not as good as I think I am?

In my case, at least part of the problem turned out to be much simpler. I had spent almost 30 years learning how to solve Engineering problems, but I hadn't completely learned how to communicate those same experiences through the eyes of the person running the business.

Changing that changed my interviews.

This time, I got the offer.

If there is interest, I can write separate posts about the five CEO rejections and the feedback I received, my experience hiring an HR consultant, the interview-question log I built, how I prepared for individual interviewers using AI, and maybe the most useful one: actual examples of how I changed my answers from an "Engineering answer" into an "Executive answer."

I really hope some of this helps someone who, like me, is sitting there after another final-round rejection wondering what the hell they're doing wrong.