Resume Formats for Tech Jobs

This ENTRY LEVEL resume got interviews at Palantir Technologies, Amazon, Microsoft, Google & here are the reasons why: 1. Strategic Information Hierarchy: - Education is rightly placed at the top (May 2024 graduation). - Clear, bolded section headers (EDUCATION, EXPERIENCE, PROJECTS, ACHIEVEMENTS, TECHNICAL SKILLS) guide the reader's eye. - Consistent date and location formatting on the right margin keeps it tidy and easy to scan. (MAKE IT EASY FOR RECRUITERS!) 2. Quantifiable Achievements Everywhere: - "achieving a 23% reduction in latency" (Amazon) - "reduce API load by 30%" (Amazon) - "HackWashu Hackathon 1st Place" - Metrics demonstrate the impact of their work. 3. Action Oriented & Tech Specific Descriptions: - Starts bullet points with strong verbs: "Optimized," "Implemented," "Directed," "Spearheaded," "Engineered," "Developed." - Specific technologies (Spring MVC, ElasticSearch, DynamoDB, ASP.NET MVC, React Native, C++, Python, GPT) are embedded WITHIN their bullet points. 4. Clear Progression & Diverse Skill Application: - Internship experiences show solid software development fundamentals in different environments (Amazon, U.S. Bank). - Projects demonstrate versatility across different domains: full-stack mobile app development (FitnessPal), systems programming (CLI Replication), algorithmic trading (WUSIF Algo Trading), and AI application (Hackathon). - Shows growth through application of diverse skills and technologies in practical settings. I've been lucky enough to have mentors who have shared their resumes with me and I want to do the same for others. Find what VERIFIED resumes landed people interviews at Google, Meta, Microsoft: https://bit.ly/3HKbsOO Not every resume should look like this. I’m sharing it because this is what’s actually working in today’s job market. For me, I never had anyone share their resumes that got interviews at companies. It was always a black box. And if this post helps even one person get a foot in the door, then I’ll keep sharing.

You applied to 100+ jobs but no interviews? Here's what's actually happening. Your experience is valuable. You're just invisible. Let me explain why, and how to fix it. When you apply online, your resume goes into a database called an ATS (Applicant Tracking System). Think of it like a massive filing cabinet. Now here's the key: Some recruiters don't read every resume. They search. Just like you search Google, they search their database: "Python AND data analysis" "SAFe AND agile transformation" "Tableau AND dashboard" If your resume doesn't have their exact search terms, you’re making it harder to get discovered. You're not rejected. You're just not found. But here's the secret: The job description often tells you EXACTLY what keywords they'll search for. It's like having the answer key. Example from a real job posting: If they say "Experience with Snowflake required"... → They'll search "Snowflake" → Make sure you write "Built data warehouse in Snowflake…" Not "cloud database" or "modern data platform." Use their exact words: Snowflake. I've mapped out 80 keywords that get candidates noticed in 2025: Top searches happening right now: • Python, TensorFlow, LangChain (AI roles) • Kubernetes, Terraform, Docker (tech leadership) • Power BI, Tableau, SQL (data leadership) • SAFe, Agile, DevOps (transformation roles) Your action plan: 1. Read the job description carefully 2. Circle every tool, platform, or methodology mentioned 3. Add those EXACT terms to your resume (if you have that experience) 4. Use them naturally in your accomplishments Example: Instead of: "Led team through digital modernization" You say: "Led SAFe agile transformation using ServiceNow and Jira, reducing delivery time by 40%" You have the experience. Now make it searchable. Your next role isn't rejecting you. It just hasn't found you yet. You’ve got this! 💡 Save this cheat sheet of 80 searchable keywords ♻️ Share to help someone in your network Follow me for more insider recruiting insights

I’ve hired 3 people in the last 2 months at Creator Match 🧩 but hundreds got rejected for the same 7 resume mistakes.. Here’s the truth: I’m rooting for every candidate. I want you to get the job. But you MUST fix these common resume mistakes (with #1 being the biggest): 𝟕. 𝐕𝐚𝐠𝐮𝐞 𝐧𝐮𝐦𝐛𝐞𝐫𝐬 𝐰𝐢𝐭𝐡 𝐧𝐨 𝐛𝐚𝐬𝐞𝐥𝐢𝐧𝐞 “Increased engagement by 200%” sounds great, until I ask, “200% of what?” 💡 Revised: “Boosted LinkedIn engagement from 500 to 1,500 monthly interactions across 12 brand accounts.” (Pro tip: Tools like Teal's AI Resume Builder flag missing baselines and prompt you for specifics.) 𝟔. “𝐑𝐞𝐬𝐮𝐥𝐭𝐬-𝐝𝐫𝐢𝐯𝐞𝐧 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥” 𝐟𝐥𝐮𝐟𝐟 Every resume says this. It means nothing. 💡 Instead: “Grew MRR from $12K to $47K in 8 months by launching creator partnerships program.” 𝟓. 𝐋𝐢𝐬𝐭𝐢𝐧𝐠 𝐫𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐢𝐧𝐬𝐭𝐞𝐚𝐝 𝐨𝐟 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 “Managed social media accounts” tells me WHAT you did, not WHY it mattered. 💡 Revised: “Managed 8 LinkedIn accounts that generated 47 qualified leads and $230K in pipeline.” 𝟒. 𝐁𝐮𝐳𝐳𝐰𝐨𝐫𝐝𝐬 𝐰𝐢𝐭𝐡 𝐧𝐨 𝐫𝐞𝐜𝐞𝐢𝐩𝐭𝐬 “Leveraged synergies to optimize ROI” → straight to the trash. 💡 Revised: “Reduced CAC from $180 to $67 by replacing paid ads with creator partnerships.” 𝟑. 𝐇𝐢𝐝𝐢𝐧𝐠 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐭𝐞𝐚𝐦 “Part of a team that…” makes you sound like a passenger. 💡 Revised: “Led a 4-person team that launched an influencer platform, signing 200+ creators in Q1.” 𝟐. 𝐈𝐠𝐧𝐨𝐫𝐢𝐧𝐠 𝐭𝐡𝐞 𝐣𝐨𝐛 𝐝𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧 𝐥𝐚𝐧𝐠𝐮𝐚𝐠𝐞 Your resume might be perfect, but if it doesn’t mirror the keywords in the posting, the ATS won’t find you. 💡 Revised: Rewrite bullets with the exact terms the role uses. (Teal even gives you a keyword match score.) 𝟏. 𝐅𝐨𝐫𝐠𝐞𝐭𝐭𝐢𝐧𝐠 𝐭𝐡𝐞𝐫𝐞’𝐬 𝐚 𝐡𝐮𝐦𝐚𝐧 𝐨𝐧 𝐭𝐡𝐞 𝐨𝐭𝐡𝐞𝐫 𝐬𝐢𝐝𝐞 Resumes aren’t just for the ATS. They’re for recruiters & hiring managers scanning your resume for just a few seconds. 💡 Revised: Write like you’re explaining your wins to a friend over coffee. Our last hiring cycle had 1000+ applications. The ones that stand out are the ones that make my job easier. Your next role isn’t out of reach. It’s just one stronger resume away, and it starts with better tools especially ones that leverage AI. Life really does come full circle. I used Teal to land jobs as a candidate. Now Teal is a client of my B2B creator marketing agency. And today, I recommend that job seekers use tools like Teal to improve their chances of landing jobs. Wild! What’s the biggest resume mistake you see candidates make? 👇 Let’s help each other out. #resumetips #tealpartner *** 🔔 Follow me AJ Eckstein 🧩 for more content on entrepreneurship, LinkedIn Creator Marketing, and Brand strategies

7 ATS Hacks To Boost Resume Views (Use These To 3x Your Interview Rate): 1. Match Keywords Like A Mirror  If the job description says "project management"? Don't just write bullet points that illustrate you master this skill. Make sure you’ve got “Project Management” injected into that bullet (and anywhere else you can naturally include it). Pro Tip: ResyMatch.io can help you identify skill gaps on your resume based on the job description. 2. Stick With Standard Resume Headers  "Project Management Experience" sounds cool for a resume header. The problem? It can kill your chances. Stick to the standard headers like "Work Experience" and "Education." ATS systems scan for typical sections, so save the creativity for your portfolio. 3. Use Both Acronyms And Full Terms  Some ATS systems only recognize acronyms, while others need full terms. Cover all your bases by including both formats throughout your resume. For example: include “SEO” as well as “Search Engine Optimization” in different sections of your resume to boost views. 4. Make Sure Your Layout & File Format Are ATS-Friendly  You don't just want your word formatting to be spot-on. You also want to pick a resume template with a sleek and easily scannable layout. Plus, you want your resume to be in the right file format, like a PDF. Pro Tip: Use a resume builder to customize your resume. Resume builders like ResyBuild.io help you customize your resume in ATS-friendly layouts and formats. 5. Quantify Everything With Numbers "Managed team" becomes "Managed 12-person engineering team." "Increased sales" becomes "Increased sales by 34% in 6 months." When your resume ends up in the hands of a human? Outcomes are what's going to set you apart. 6. Skip The Graphics And Tables  That beautiful infographic resume looks amazing to humans. But ATS systems read it as blank space. Stick to simple bullets and standard fonts. Save the design elements for your portfolio or Value Validation Project. 7. Run Your Resume Through Free ATS Scanners Run your resume through resume scanners like ResyMatch.io before applying. ResyMatch shows exactly what your resume is missing based on ATS best practices. Plus, it gives you instant feedback and instructions to update your resume. 📄 Want to map these hacks to your resume and win more interviews? 👉 Book a free 30-min Clarity Call and we’ll walk you through the ATS-proof tweaks: https://lnkd.in/gdysHr-r

I’ve reviewed 100+ AI PM resumes in the past year. Here’s what I’ve learned: Most people are making the same mistakes over and over again. If you’re applying for an AI PM role, these 4 deadly mistakes might be holding you back (and what to do instead): — 𝗢𝗡𝗘 - 𝗧𝗵𝗲 "𝗔𝗜 𝗕𝘂𝘇𝘇𝘄𝗼𝗿𝗱 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗼𝗿" Most people cram their resumes with every AI term they’ve ever heard. The problem is that buzzword dumps don’t prove expertise. They scream, "I just read a lot of articles" to hiring managers. Instead, focus on 2-3 areas you’ve actually worked in. → Example: “Fine-tuned a language model for legal document review.” → Or: “Built an ML pipeline to optimize e-commerce recommendations.” Show results, not just keywords. — 𝗧𝗪𝗢 - 𝗧𝗵𝗲 "𝗧𝗵𝗲𝗼𝗿𝘆 𝗢𝘃𝗲𝗿 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲" 𝗧𝗿𝗮𝗽 Many AI PM resumes are filled with things like: → “Completed Stanford’s AI certificate.” → “Watched 15 AI courses on Coursera.” Hiring managers care less about what you’ve studied and more about what you’ve built. Even a small project can make a huge difference. → A chatbot that solves a niche problem. → A dashboard using AI for productivity hacks. Weekend projects like these prove you can translate theory into action. — 𝗧𝗛𝗥𝗘𝗘 - 𝗧𝗵𝗲 "𝗠𝗶𝘀𝘀𝗶𝗻𝗴 𝗜𝗺𝗽𝗮𝗰𝘁 𝗦𝘁𝗼𝗿𝘆" Most resumes are just glorified job descriptions. You know what I’m talking about… → “Managed ML feature development.” → “Led a team of engineers.” This tells the what, but it doesn’t show the impact. Tie your work to measurable outcomes: ❌ Instead of: “Launched recommendation system.” ✅ Write: “Deployed personalized recommendation engine that increased engagement by 40% and drove $2M in incremental revenue.” Your resume should demonstrate the results you’ve delivered and why they mattered to the business. — 𝗙𝗢𝗨𝗥 - 𝗧𝗵𝗲 "𝗦𝗼𝗹𝗼 𝗚𝗲𝗻𝗶𝘂𝘀" 𝗦𝘆𝗻𝗱𝗿𝗼𝗺𝗲 Many resumes focus entirely on individual achievements. But they ignore the most critical skill of an AI PM: collaboration. If you can’t work effectively with different teams, you won’t succeed in this role. So, highlight your leadership and collaboration skills on your resume. → Example: “Partnered with engineering and data science to deliver an AI-driven support tool, reducing ticket volumes by 50%.” Basically, you've to show you’ve successfully bridged technical and non-technical teams to deliver results. — There's more to it of course. Check out the full guide to make your AI PM resume unignorable: https://lnkd.in/ej-2bZVb

I’ve reviewed 2000+ resumes for AI/ML roles in the last 5 years. Here are 7 tips to make your resume stand out: 🔸 Tip 1: Showcase End-to-End Project Work Describe projects where you took an idea from concept to deployment. Outline the problem, data collection, model development, validation, and deployment. Demonstrate your ability to handle the entire lifecycle of an AI/ML project. 🔸 Tip 2: Quantify Your Contributions with Real-World Impact Use concrete metrics to quantify your achievements, such as 'Reduced customer churn by 20% through predictive modeling' or 'Increased sales by 15% with a recommendation system'. Real-world impact is more compelling than theoretical knowledge. 🔸 Tip 3: Highlight Collaboration with Cross-Functional Teams Showcase your ability to work with data engineers, product managers, and other stakeholders. Mention specific instances where you collaborated to deliver impactful AI/ML solutions. 🔸 Tip 4: Emphasize Deployment Experience Highlight your experience with deploying models into production environments using tools like Docker, Kubernetes, or cloud platforms such as AWS, GCP, and Azure. Include specific examples and the impact they had. 🔸 Tip 5: Include Open Source Contributions If you’ve contributed to open-source AI/ML projects, list these contributions. Mention any significant pull requests, issues resolved, or your role in major projects. This demonstrates your commitment and expertise. 🔸 Tip 6: Focus on Recent Technologies Mention your proficiency with LLMs, reinforcement learning, or other generative AI technologies. Highlight any recent work or projects involving these technologies. 🔸 Tip 7: Keep Up with Industry Trends Stay updated with the latest trends and advancements in AI/ML. Mention any relevant courses or technologies you have learned and always keep that tab up-to date. This shows your dedication to continuous learning and staying current in the field. #ai #career #resume

I’ve reviewed 500+ applications as a recruiter at Amazon, Microsoft, and TikTok. This is the kind of resume that gets rejected in 3 seconds. I'll break down why such resumes fail to create an impact and how you can avoid such mistakes. Problem 1: Too much, too soon Two degrees, 15+ courses, and 30+ tools listed - all in the top half. Recruiters don’t need a tech stack dump upfront. Instead: ➡️ Start with a skills summary tied to impact-driven achievements. ➡️ Highlight tools you’ve mastered, not dabbled in. Problem 2: Responsibilities ≠ results Worked with IT to maintain PC and network health. Okay... but how did it matter? Reduced downtime? Saved costs? Improved performance by X%? Instead: ➡️ Write impact-focused bullets — e.g., “Reduced network downtime by 35% through system upgrades.” Problem 3: Irrelevant experience Amazon Prime Shopper role at Whole Foods is listed in detail. Unless applying for retail or logistics, this distracts. Instead: ➡️ Group unrelated roles under a single “Other Experience” section. ➡️ Focus on transferable skills like teamwork, deadlines, or inventory handling — but keep it brief. Problem 4: Projects without purpose Projects sound impressive but lack outcomes. E.g., “Built an AI model to detect human emotion.” Questions recruiters ask: What accuracy did it achieve? Was it deployed? How did it solve a problem? Instead: ➡️ Add metrics — e.g., “Improved emotion detection accuracy by 20% and reduced processing time by 15%.” Here’s the hard truth: Most resumes don’t fail because candidates lack skills. They fail because they fail to communicate impact. If you're not receiving calls from recruiters despite applying to 100s of jobs, it could be due to your resume. Repost this if you found value. P.S. Follow me if you are an Indian job seeker in the U.S. I share insights on job search, interview prep, and more.

As a manager and coach, I look at lots of resumes - Here are 12 resume pitfalls to AVOID if you want more interviews ↓ *Disclaimer: I’m a Hiring Manager in Tech, and a Career Coach for Sr/Princ/Dir level talent - my list will not apply in 100% of cases. Let’s jump in. Here’s what I’m not looking for: 1. Your headshot - Too many biases in the hiring process already; this only invites more. 2. Personal Information - Home address, gender, age, race, political party, marital status - not information I need. 3. An obvious objective statement - I know you want the job, don’t waste prime resume space (near the top) for this. 4. Any more than 3 font sizes - Seriously, constant font/style changes are distracting, and make it difficult to read. 5. Any more than 2 font types - Same as above. 6. Full website addresses - A common offender is a full LinkedIn address - use hyperlinks. 7. Self-rankings of your own skills - There are more downsides to this approach, than upsides. Not necessary. 8. Long lists of patents, publications, or references - Can make resumes (which function as highlight reels) excessively long - move this info to another place. 9. Bulleted lists of soft skills with no context - Simply stating the word “communications” in a skills list does nothing for the hiring team. 10. A 3rd or 4th page - Most legitimate resume research suggests anything beyond 2 isn’t really helping. 11. Repetitive pronouns - First person pronouns like “I managed” aren’t necessary, “I” is implied, “Managed” is better. 13. Too few accomplishments bullets - Accomplishments and results validate everything the resume is claiming. - Some job context is okay (e.g. team size, number of customers, scope) - but it needs to be followed by impact. - - - What would make your ‘dirty dozen’ list? Was this content helpful? Follow Adam for daily posts on hiring, job search, and resumes.

I’ve revamped 216 resumes over the past 365 days. Most of the clients I worked with landed jobs in 4 months or less. Here’s what I’ve learned about what makes an executive resume WORK: 1) Keep it short. Even at the executive level, your resume should never be more than 2 pages. Anything longer, and you’ll lose the recruiter’s attention. 2) Clean design. Forget fancy designs, graphs, or color schemes. Nobody cares about that and it is super DISTRACTING for Recruiters. What matters is what you’ve done and the results you’ve delivered. 3) Tell a story. For each role, start with one bullet about your general scope (team size, portfolio, industries, etc.) and follow it up with 4–6 bullets that explain: ➜ What you did ➜ How you did it ➜ The results you achieved 4) Show your leadership. So many resumes focus only on tasks, and they forget to include leadership impact, talent development, or team management. If you’ve led people, OWN it. Recruiters want to see this! 5) Your resume is only the START. What you do after you apply (networking, reaching out to hiring managers, getting referrals) matters just as much as hitting “submit.” Here’s an example from one of my clients who just got hired at a Big 4 firm. She's worked in the data space for 20+ years, and her resume tells the story of her leadership AND results vs just listing out responsibilities and duties. SELL YOURSELF, SELL YOURSELF, SELL YOURSELF!! :) If you've got questions about your resume and job search feel free to book a call with me at csgexecutivecoaching.com #ResumeTips #ExecutiveCareers #JobSearch #Leadership #GetHired

This resume got someone a job as data analyst at Meta. Last week, someone asked me to review their resume seeking a role in data analyst. On the surface? It looked “okay.” But here’s why it still wouldn’t make it past the recruiter screen — or even the ATS. 1. Generic summary with no focus The resume opens with: “Strategic thinker with data analysis skills.” But… strategic for what industry? Data analysis in what context? There’s no domain positioning (healthcare, finance, e-commerce), no mention of specific business problems solved, and no hook to tell a recruiter, “This person is perfect for our team.” 2. Experience lacks impact, depth, and direction Phrases like “Built dashboards,” “Maintained reports,” and “Collaborated with teams” are too vague. There’s no context: → Who used the dashboards — finance teams? leadership? sales? → What decisions were made from the reports? → Did this work lead to cost savings? Process efficiency? Customer insights? There’s also no consistent mention of tools per project — Power BI, SQL, or Tableau are listed once in the skills section, but not tied to real business value in the bullet points. 3. No project section or external proof For a data analyst, personal projects are non-negotiable. When you don’t showcase independent work (via GitHub, Tableau Public, Kaggle, or even a portfolio site), it tells the hiring team: → You only do what’s assigned. → You haven’t built anything meaningful outside your 9–5. → You’re not invested in sharpening your craft. That’s a dealbreaker. 4. Certifications feel surface-level “Certified in Excel” or “Completed workshop at GrowthSchool” means little without application. There’s no story of how those certifications were used to solve real problems. Hiring managers don’t want to know what you passed — They want to know what you built. 5. Education section is a missed opportunity The candidate holds a Master’s in Data Analytics — that’s a powerful asset. But there’s: → No mention of core coursework (e.g. predictive modeling, data visualization, SQL, Python) → No capstone or thesis project → No tools or datasets referenced Your education should prove you’ve done real work in real environments. In contrast, here are 5 key rules that get a resume shortlisted: 1. Start with a clear positioning statement. Tell me what kind of analyst you are and what industries you serve. 2. Make every bullet show a result. “Reduced processing time by 40% using Power BI” > “Built dashboards” 3. Add 1–2 real projects or GitHub links. Let your skills speak beyond your job title. 4. Use keywords from the job description. Tailor every resume. No generic blasts. 5. Format it like a sales page — not a diary. Clear sections. Action verbs. No fluff. Your resume is a marketing doc. Make every line earn its place. Need a second set of eyes on your resume? DM me — happy to help.