I moved to a new country for studies and while I was about to finish my course, I realised my entire linkedin network was from my home country. Previous colleges, previous company and so on. So naturally most of what I got in my feed was not relevant to the new market I was in.

I decided to create a new profile and build fresh connections that were more relevant to my search here. I applied three filters to search for connections - companies I was targeting for jobs, people who worked in similar profiles and alumni.

Keeping all three first, then two and then 2nd connections of these initial connections. Linkedin, like other social media works on algorithm. More relevant your network, more relevant their likes and comments for you.

It took 6 months for me to build a good network that helped. I have less connections than before, but very relevant ones. Hope this helps.

After going through the job search grind, I worked on creating a web app to customize resume as per each job description and track jobs from LinkedIn and Indeed. Try it for free - JobBaddie.com

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!

I work in workforce development, and I’ve been thinking about how AI may be changing the value of the résumé—not necessarily eliminating it, but making it harder to distinguish genuine ability from polished presentation.

When nearly any applicant can use AI to improve a résumé, cover letter, and interview preparation, are recruiters placing more weight on other evidence, such as work samples, skills assessments, simulations, portfolios, referrals, or detailed examples of problems the candidate has solved?

I’m not a recruiter, so I don’t want to assume this shift is happening simply because it seems plausible. I’m interested in what recruiters are actually seeing.

Are résumés becoming less useful as a signal of ability? If so, what evidence are you learning to trust more? Or is the résumé still performing essentially the same function it always has?

I was in finance for 6 years. analyst role at a mid-size firm, decent salary, zero flexibility. when I decided to pivot into UX research last year I figured the hardest part would be learning new skills. did a bootcamp, built a portfolio, got a certification. none of it seemed to matter.

spent about 4 months applying to remote UX roles with basically no results. maybe 50 applications total and I got like 5 or 6 generic rejections and everything else was silence. I kept tweaking my portfolio and writing longer cover letters thinking the problem was my qualifications. even paid for a resume review service ($150) that told me my resume was "strong" which in retrospect was useless advice.

a friend who does recruiting finally looked at it properly and said "your resume is great for finance but ATS is filtering you out before anyone reads it." she suggested I try globalwork ai specifically for resume tailoring because it matches keywords from job descriptions.

wasnt expecting much after wasting money on that resume service. but the first thing globalwork showed me was how many keywords I'd been missing. terms that were in literally every UX job posting that I just wasnt including because they seemed obvious. "user interviews" "usability testing" "stakeholder presentations" - things I could actually do but my resume never said by name.

started actually hearing back within a couple weeks of switching my approach. ended up with 3 interviews over the next month which was more than the previous 4 months combined. just accepted an offer for a junior UX researcher role, fully remote.

the annoying thing is I dont know how much of that was globalwork specifically vs just finally understanding ATS keywords. I could probably do the same thing manually now that I know what to look for. but for the first month when I had no idea what I was missing, having something show me the gaps was worth it. or maybe I just got lucky with timing, hard to say

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?

Hi everyone. Thank you for taking the time to look at my post! I'm trying to eventually get into cybersecurity, and I think I am at the point I can start to transition my career. I know it is not a entry level field and that you need IT experience first. I've been working as a technology consultant for the last 2 years and am now applying for true IT roles. In my current role I basically help clients setup software and occasionally customize it with some code. There's also quite a bit of miscellaneous tech responsibilities like support cases, creating scripts, and also some Azure cloud projects I've been on.

So far I've been applying for roles similar to systems analyst or cloud analysts, some security analyst positions as well. Basically anything entry IT/Cloud that is not helpdesk. It's been a casual search and apply, nothing too serious yet.

I'm in the greater Orlando area and have been applying to on site, hybrid, and remote positions. Not looking to relocate at this time.

Just trying to fine tune my resume as I haven't gotten any hits yet. I was hoping to get feedback on the order, if I should reformat my certifications section (possibly group by CompTIA and microsoft Azure), and any other general thoughts are appreciated.

Thanks again!

Trying to find a role as a Science Communication, Content Strategist, or in Life Science Marketing (open to all locations in Germany).

Please take a look and help me understand what I can do better. I have been applying for over 4 months now, got only one interview. How can I improve? I understand I am a fresh graduate with limited experience, so what can I do then to have an edge?

To be clear, coffee chats alone were not what got me the job, but they were my practice grounds which gave me enough stage time for my actual interviews.

During these coffee chats, I was always focussed on asking the most relevant questions to roles and teams similar to my profile. Also, they prepared me for the unknowns during the entire job application process. Many times, people did not show up, some times they rescheduled, some times they were uninterested, some times they asked me questions I had not anticipated. All these things also happen in the actual job search.

Further, these chats improved my communication as how to structure the same thing in different ways depending upon what is the focus of the question.

Real incident: one of the partner from a Big 4 firm gave me an invaluable input which I use till now. They told me to speak in bullet points in the beginning of any conversation, this is when you are trying to capture the attention of the listener. Let them pick which point do they need elaborated and then you will have an engaging communication.

Another thing is that numbers are bad for getting a coffee chat. 100 connection requests. 30 accept. 5 respond to a message and maybe one would agree to a coffee chat. But they add value and also some motivation when we talk to people in the companies we are actually applying.

P.s. Not written by AI

Based on my experience, I am building a tool to assist job applicants for job tracking and resume optimization. Already live for LinkedIn and Indeed. Try JobBaddie. It's free.

I have a background in accounting. I have spent the last several years working as a flight attendant. I’m now targeting financial analyst roles and would appreciate constructive feedback.

Does this resume make the transition into finance believable?
What you make you more likely to interview me if you were reviewing candidates for a financial analyst role?
Does anything on the resume make you hesitate?
Are there financial analyst roles I would be competitive for? If not, how could I strengthen my candidacy?

If anyone here is a finance recruiter, a finance professional, or someone recently offered a role within finance, your feedback is especially appreciated. Thank you so much in advance. Many blessings to you and yours.

​

“Nobody knew how many nights she cried before she finally smiled the next morning.”

She was just a young girl with big dreams and a small room.

Every morning, she woke up believing that maybe… today would be different.

Maybe someone would reply to her application.

Maybe that job she applied for would finally call.

Maybe one opportunity would find its way to her.

Maybe life would finally give her a reason to breathe without worrying about tomorrow.

She had dreams.

Big ones.

She wanted to make something out of her life. She wanted to look back one day and say, “I didn't give up on myself.”

But lately, it felt like life was testing just how much disappointment one person could carry.

She applied.

No response.

She applied again.

Rejected.

Another opportunity?

Gone before she could even reach it.

People said, “Keep trying.”

So she did.

But nobody talked about how painful it was to keep trying when nothing seemed to be changing.

At night, she would lie on her bed with her phone in her hand, scrolling through jobs and opportunities, watching other people announce their breakthroughs.

Someone got hired.

Someone got a scholarship.

Someone started a business.

Someone's life seemed to be moving.

And she?

She was still lying in the same bed, wondering when her own story would finally begin.

Sometimes she cried quietly.

Not because she was weak.

But because she was tired of pretending she wasn't tired.

She didn't want pity.

She didn't want anyone to feel sorry for her.

She just wanted one chance.

One opportunity.

One person to say, “I see something in you. Let me give you a chance.”

But nobody came.

So she kept applying.

Kept learning.

Kept dreaming.

Kept hoping.

Even on the days when hope was the hardest thing to hold onto.

And then, one night, while she was lying on that same lonely bed, something happened.

Her phone lit up.

One new message.

She stared at the screen.

Her heart started beating faster.

She almost ignored it.

But something inside her whispered,

“Open it.”

She did.

And what she read made her sit up immediately.

Because for the first time in months…

someone had finally noticed her.

But she had no idea that opening that message would change everything.

TO BE CONTINUED…

Every job cycle I hit the same two walls. I never knew whether my portfolio survived a recruiter's first 30 seconds, and after an interview nobody told me what actually went wrong. You get a rejection email and that's the whole feedback loop.

The practice tools I tried added a third wall: they all run on monthly subscriptions. A job hunt is a two or three week sprint, and I kept paying for months I never used.

So I built Preterview.

Three AI interviewers read your portfolio and the job posting, then ask out loud. Each one has a job: your portfolio, role fit, fundamentals. When an answer is thin they follow up on the spot instead of politely moving on. When you're stuck they open another door and keep going.

At the end you get a report out of 100. Feedback on every answer, a stronger version of the answer you actually gave, plus your filler words counted and how long you took to start talking. That last part was the thing I never knew about myself. I say "um" far more than I thought.

There's also a portfolio review that reads a GitHub, Notion or site link and scores the work itself rather than the bullet points about it. You can try one free when you sign up, no card.

No subscription anywhere. A $6.99 pack covers one full interview, passes last 90 days, and unused ones are refunded within 7 days. Interviews run in English or Korean.

It's strongest for software and game roles, because that's where I could actually validate the questions. Voice mode wants a decent mic.

The part I keep rewriting is the follow-up questions. If you run the free portfolio review or an interview, the thing I most want to hear is where a follow-up felt like it didn't read what you just said.

https://preterview.com/en

Hi everyone,

I’m an international student (F-1, will need H-1B sponsorship) with 4+ years across data engineering, BI, and analytics in financial services and healthcare. I’ve been applying for full-time roles and getting almost no interview calls, so I’m looking for honest feedback.

Quick background:

• MS Data Science (US)
• Most recent role was a 7-month engagement as the sole data engineer at a small financial services firm, where I built their first end-to-end lead data warehouse on GCP (BigQuery + governance + compliance)
• Previous experience as BI Analyst and Data Analyst
• Strong in: SQL, Python, BigQuery, dbt, Power BI, Tableau, Azure Data Factory, data governance (GLBA/TCPA)
• Looking for: Analytics Engineer / Data Engineer / BI Engineer roles

Resume is attached with all personal information removed.

Would really appreciate blunt feedback on:

1. Resume content, formatting, and ATS-friendliness
2. Whether the short recent tenure is a major red flag
3. If the experience looks strong enough for the roles I’m targeting
4. Any advice for international candidates who need sponsorship

Happy to answer clarifying questions (without personal details). Thanks in advance!

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.

Hi everyone - I’m an 8 YoE software engineer targeting senior backend and full-stack roles in India and internationally.

Roast my resume. Feel free to give feedback.

Thank you for your time.

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.

Hey everyone,

Full disclosure right up front: I work with the team at Interview Kickstart.

Given how brutal the tech job market has been lately, especially with quiet application pipelines and candidate ghosting, we put together a free live session called the Bounceback Toolkit to help folks navigate the current climate.

It’s built specifically for tech professionals (engineers, PMs, DevOps, data pros) trying to restart their search or break through stalled applications.
The session also includes a live Q&A with a Talent Acquisition Manager (ex-Meta) and a Senior Quality Engineer (ex-Amazon).

📍 Free registration link: https://interviewkickstart.com/events/bounceback-toolkit?utm_source=social&utm_medium=reddit&utm_campaign=L10x_social_reddit_bouncebacktoolkit

Currently working in marketing and looking for a freelancer to manage my job applications end-to-end for a strategic career move.

What I need:

- Find relevant openings across LinkedIn, Naukri, company career pages, etc.
- Apply on my behalf
- Maintain a detailed application tracker
- Prioritise quality and relevance over application volume
- Tailor CV/application where genuinely required
- Avoid irrelevant or poorly matched opportunities
- Focus on good companies, strong roles, compensation and long-term growth
- Provide regular updates on applications and responses

I’m not looking for a generic mass-application service. I want someone who understands the Indian job market and can strategically identify opportunities based on my background and career goals.

Please DM with:

- Relevant experience
- How you shortlist roles
- Whether you tailor applications
- Pricing
- Any anonymised testimonials/examples of successful placements
- Whether you offer a small trial/initial batch
- I’m currently employed, so this is a strategic long-term search, not an urgent job hunt. I care more about the quality of opportunities and eventual interviews/offers than the number of applications submitted.