Read more about Angi's local moves here. InterviewIA lands $150K from Google Denver-based interviewIA scored a non-equity cash award from the Google for Startups Black Founders Fund to continue ...

Colorado's H1 VC trends | Jerky company makes a comeback

InterviewIA has created a SaaS interview collaboration platform for hiring teams intended to reduce biases along the interview process. Now, it's getting a boost from Google.

Google grants $150K to Denver startup through fund for Black founders

interviewIA

interviewia

HackerNoon Reporter: Please tell us briefly about your  background. I’ve been in Colorado since 2006, navigating my career through various-sized technology and marketing/brand companies, learning a lot about growing companies and finding the right talent to grow a successful company. I was also involved in a workplace shooting that gave me purpose to help talent find work that helps them feel meaningful, safe, and included. I also joined the Colorado Technology Association in 2008 where I began to grow my network of tech professionals who would help make the launch of our first company (that would become interviewIA) successful. All this to say that it has been an amazing journey to get to this point. What's your startup called? And in a sentence or two, what does it do? We are interviewIA. For organizations looking to achieve an equitable, data-driven, and repeatable interview experience, interviewIA offers an intelligent interview collaboration platform that powers the interviewers in the talent acquisition process and guides unbiased interviewing and hiring decisions. What is the origin story? We started our first company 5 years ago to research and develop our talent methodology that now powers our tech startup. We all have backgrounds in recruitment, brand awareness, organizational change, training, and technology, all of which helped us develop our interview collaboration platform last year. What do you love about your team, and why are you the ones to solve this problem? We believe that we are uniquely situated to address two key areas where the world is currently experiencing rapid change. First, COVID has created a new way of working, a new way of hiring, a new focus on remote capability, and many challenges around reskilling and hiring overall. Second, the conversation around social inequality, unconscious bias, Black Lives Matter, and a need for systemic change has truly created an opportunity for real action. Our team is so aligned with the passion to help companies match their work with the right candidates who find that same work meaningful to them. We are not only building a technology to facilitate change, we are creating a solution and an ecosystem to support systemic change so that we all learn to hire inclusively and create opportunity for everyone. That’s why I love this team, because it’s the right team to make this a reality. If you weren’t building your startup, what would you be doing? I would most likely be conducting trainings about Bias and Empathy and Team Interaction through the training company I started two years ago called Breaking the Bias. At the moment, how do you measure success? What are your core metrics? Our core metrics as a startup are very simply focused on Monthly and Annual Recurring Revenue. Our success will be measured on velocity and traction to increase those numbers over the next year. What’s most exciting about your traction to date? The most exciting part of our traction as a company is the fact that everyone we talk to absolutely understands how we can help them solve their hiring issues. And our product team has taken an innovative approach to continuously find ways to improve the product and bring new and relevant functionality to the public as quickly as possible. What technologies are you currently most excited about, and most worried about? And why? We have been keenly aware of artificial intelligence’s role in perpetuating bias in the hiring process. Any technologies that are powered by AI that focus on the evaluation of human beings, without involving human beings in that evaluation process, is most likely biased and doing more harm than good. We focus on the ethical use of machine learning and technology that can aid human beings in the interview process, not replace them. Technology, when developed correctly with a diverse group of engineers, product roles, software developers, etc., can most certainly help a person, a team, and an organization get better. I’m excited about scaling the ability to help more people become better interviewers. What drew you to get published on HackerNoon? What do you like most about our platform? We were nominated as one of the Startups of the Year for Colorado Springs. It’s exciting to be recognized by this publication because it’s a recognition by the people who we are trying to help. What advice would you give to the 21-year-old version of yourself? My advice would be to lean into being more curious about all people and looking for ways to create equal opportunities and benefits for all, no matter what I’m doing. What is something surprising you've learned this year that your contemporaries would benefit from knowing? I’ve learned that it takes an intentional effort to become a founder and leader of an organization when you’re used to being an individual contributor. This transition is not to be taken lightly and involves self-reflection and learning from many other perspectives to find your footing. Vote for InterviewIA for Startup of the Year in Colorado Springs!

Startup Interview with UB Ciminieri, interviewIA CMO

Let's learn about via these 62 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Tech Startups /Learn Repo 1. Unicorn Startup Companies Founded During a Recession The global recession is a turbulence time for all businesses. We have used to be afraid of scenarios that may play out during and after the financial downturn. Different sources define this period as "a significant decline in economic activity, lasting more than a few months, normally visible in the real gross domestic product (GDP), real income, employment, industrial production, and wholesale-retail sales." 2. Clubhouse: The Bomani Effect Clubhouse is an invitation-only, audio chat app, valued in Dec 2020 at $100 million. It is now valued at 1 billion USD since Jan 2021. 3. What Makes A Venture Studio So Successful at Building Startups? As an increasing number of venture studios break into the entrepreneurial scene, it’s time to analyze what makes this model so competitive. 4. A Genius, a Deceiver, or a Naive Dreamer? Deep Tech Explained In 1943, the American aircraft engineer Clarence "Kelly" Johnson received a call from the Pentagon: the US Air Force needed a fighter jet. Johnson ran Advanced Development Projects (ADP), a closed division of the Lockheed Corporation aircraft manufacturing company. It was located in a separate room, and only employees directly involved in the development of ADP could go in there. 5. D2C 101: Why the Future of Retail is Vertical Commerce and D2C Brands For as long as humanity has existed, so has commerce in the form of sharing, bartering and selling resources. Even before currency in its most rudimentary form has come into existence in Mesopotamia in 3000BC, economies were created through bartering where people would exchange goods/services based on perceived value (Person A would want to sell Item A to Person B who finds Item A valuable in return for Item B which holds more value to Person A than it does to Person B). 6. How to Launch a Successful Startup and Keep it Blooming: 25 Great Tips Learn to think critically about your ideas 7. Low-code for Hackers In recent years Low-code/No-code has become a hot topic. According to that approach an IT-system is developed visually. Conventional wisdom says that building an MVP on low-code is OK, but if something sophisticated and scalable is needed, you have to code it traditionally. These visual tools seem to be very limited. Let me reveal the other side of low-code world, which has no such limits. 8. An insight into Asia's Tech Startup Scene With the boom in technology, tech startups are booming all over the world, especially in the Asian region. In recent years, it has been noticed that startups are growing the track record of success stories in the business world. 9. Why Working in a Startup Is More Rewarding Than a Career in Big-Tech Five reasons of why working in a startup might be more rewarding than position in a big-name company for specialists, who are focused on career achievements. 10. Start with a Prototype, Follow with an MVP and Then Get to the Final Product Your Guide to the Main Stages of Tech Startup Development 11. The Pitch Deck That Makes Investors Say Yes In these uncertain times of Covid-19 and lockdown, it’ll come as no surprise to say that investments, as with everything else, have taken a bit of a hit. In France alone, investment was down 30% in April compared to April 2019. But, not to despair! Despite the current climate, investors are indeed still active. 12. #FoundersConnect: Njoku Emmanuel, the 19-year-old CEO & Co-founder of Lazerpay Interview with Lazerpay co-founder & CEO, Njoku Emmanuel. 13. So You're Planning To Pitch Your Startup W/O a Growth Strategy This Year? A month ago, I had the privilege to chat with a third-time founder with two successful exits under his belt. 14. Valuing Cryptocurrencies: When to Go by Exchange Listing Count and When Not To At the moment, there are more than 1500 cryptocurrencies existing today, with a combined market capitalization of over $18 billion. As the crypto industry progresses at a high pace, investors are constantly willing to trade in this never-sleeping market. In order to be able to participate in cryptocurrency trading, users turn to the so-called exchanges. 15. Why Startups Are Better To Work For Last fall as I started my last year at UCLA, I aggressively applied and interviewed for programming jobs. The decision agonized me for weeks and I devoured career guides and advice. And in the end, I chose a small 50 person startup over exciting companies like Facebook, Stripe, and Cruise. I basically chose less money for more work mostly because it was a startup. 16. Should You Build Your Startup in Public? You have had a great idea, spent some time validating your business idea and are now facing the next questions: How should I approach my building? One of the most used buzzwords in the indie hacker space is “building in public“. It comes in different styles and with different methods. Of course, success in building a side-project publicly also varies. I aim to provide a starting point in this article with a look at methods, platforms, and tools. This blog-post links into the series on introduction in the indie hacker space. 17. Using CI/CD Pipelines to Increase the Speed and Quality of Software Development Continuous Integration & Continuous Delivery in the development process. How the CI/CD pipeline helps create products and implement new features better and fast 18. Startup Interview with Changsu Lee, Allganize's Founder and CEO This interview with Changsu Lee, founder and CEO of Allganize, Inc. goes into details the main reasons why he started his AI NLU company back in 2017. 19. Ayo Akindele, Founder and CEO of Kyshi Interview with Ayo Akindele, of Kyshi, a payment startup for transnational money transactions. 20. Startup Interview with Vivek Khatri, Director & Founder, at Emizen Tech Vivek Khatri, Director and Founder of a Startup of the year nominee Emizen Tech, shares their origin story, why they focus on retention and exciting technology. 21. #FoundersConnect: Koromone Koroye, Managing Editor of TechCabal Conversation with Koromone Koroye, Managing Editor of TechCabal on her interesting life experiences, thoughts of religion, work culture and more! 22. 3 Ways in Which Launching a Startup Is Easier in the Post-COVID Era The post-COVID world is full of global opportunities for early-stage companies to develop and grow. Learn how to build a startup with online tools. 23. #FoundersConnect: Eyitayo Ogunmola, Founder of Utiva, an African Ed-tech Startup I speak with Eyitayo Ogunmola, the CEO of Utiva, an education service for Africans and people of colour entering the tech industry. 24. 5 Productivity Hacks to Get More Done as the Founder of a Startup As a founder of a startup, chances are that you have one thing constantly going on in your mind: getting more work done. 25. How Do You Measure Success? Downloads, Traction, and Revenue MyValet updates car parking and car services to the 21st century. No more paper, no more stamps, no more cash. 26. How to Evaluate New Ideas For Value? It is easy to know the value of a product or service which is used often and is accepted as something worthy to pay for. Everyone agrees gold coins are valuable even if they don’t know the current gold rate in their currency. 27. As the Hype Ends, Brazil's Tech Startup Investment Landscape is Changing for the Better Brazil's become a startup paradise, but the current funding low is leaving its mark. What's in store for the Brazilian startup ecosystem at the end of 2022 28. 5 Challenges Your Cannabis Tech Startup Needs to Solve: 2020 Edition With recreational and medical marijuana legalisation efforts comes great business opportunity, and unsolved problems. As of today, recreational and medical marijuana legalisation efforts have succeeded in multiple jurisdictions across the world, and counting. On the list is Luxembourg to become the first European country to  join the ranks of Canada and U.S. in relaxing weed laws. 29. #FoundersConnect: Bunmi Akinyemiju, Partner at GreenHouse Capital, Former CEO Venture Garden Group I speak with Bunmi Akinyemiju, one of the biggest investors in the African startup space, and Founding Partner at GreenHouse Capital. 30. The 3-Step Process to Hiring a Software Engineer For Your Startup The standard coding interview gauges coding prowess the same way an IQ test gauges intelligence. Basically, barely at all. 31. The Series A Startup Guide to Outstaffing Software Developers This is a quick guide on how to select remote development teams for startups at the Series A stage that may need to add remote engineers to their teams. 32. #FoundersConnect: Ameyaw Debrah, the Founder of Ameyawdebrah.com | Ghanaian Celebrity Blogger Peace has a conversation with Ameyaw Debrah, Ghanaian celebrity blogger and founder of Ameyawdebrah.com, a lifestyle news blog about media, his life, and more. 33. Growing a Startup is all About Decision Making I love reading the insights of successful entrepreneurs contemplating on their decision-making evolution and try to draw insights from my own experience as a startup owner. The more I’m into it, the more I realize that growing a startup is all about decision making. 34. #FoundersConnect: Tosin Faniro-Dada, MD /CEO of Endeavor (Nigeria) Peace has a conversation with Tosin Faniro-Dada, the MD & CEO of Endeavor in Nigeria, about her career and her passion for helping entrepreneurs. 35. #FoundersConnect: Ben Lyon, CEO and CoFounder of Stax, an Offline Payment App for Africans Conversation with Ben Lyon of Hover Developer Services, the parent company of Stax, a simple way to carry out payment services without internet or USSD codes. 36. Meet Clockwise Software Meet Clockwise Software - a Ukrainian JavaScript development company with a head office in Dnipro. 37. [ANN] Pitch.Tech - A Dottech Domains & Startup Grind Competition For Ideapreneurs Win $10,000 in equity-free funding and over $100,000 in startup benefits. 38. Kristina Cahojova, CEO at Kegg.Tech: #MyStartInTech Story In this interview, Kristina Cahojova, CEO of Kegg.Tech talks about how she got her start in the tech world. 39. All the Tech You Need to Start an Online Business New business owners must ensure they have a good foundation of the necessary technologies to run their businesses. 40. What is the Difference Between MVP and POC? In this article, we will look at definitions for MVPs and POCs and the circumstances in which to use them. 41. Tadeas Adamjak from UXtweak Talks About How to "Make Your Websites Better" UXtweak is user experience (UX) research platform providing tools for usability testing, IA research and behavior analysis. Read its origin story and more! 42. Thrilled to be Recognized as a Trending Startup in Jaipur, India Emizentech is recognized as one of the trending startups in Jaipur India in 2022 by Hackernoon. 43. Should I Work At A Startup Or An Established Company? A Company vs A Startup. What’s best? In this article, I review my experience working at both startups and companies to help you determine your best route. 44. #FoundersConnect: Godwin Tom, Serial Entrepreneur, Music Business Mogul & CEO of iMANAGE AFRICA Conversation with Godwin Tom, an expert in music management and CEO of iMANAGE Africa on his journey, his work, and the future. 45. How to Launch a Tech Startup and Raise Financing in the U.S. Starting a tech business in the U.S. can be a challenge and a privilege. While the market is large, the competition is intense and consumer standards are high. 46. Exploring Taiwanese Start Up Culture Following our hiring survey for Taiwan startups, this story discusses how local companies find talent, and the importance of employer branding for scalability. 47. What Are The Most Common Mistakes New Startups Make? Newbie startups fly HIGH and then fall hard! Here’s why. 48. Right Entrepreneur, Right Problem: The First Steps in Startup Building “Focus on getting your MVP’s value proposition incredibly clear. If your grandma doesn’t understand it’s probably not clear.” [49. When We Can Pitch Startups at Events Again, Take These Lessons With You](https://hackernoon.com/when-we-can-pitch-startups-at-events-again-take-these-lessons-with-you-in2jc3yio) Here I am, a twenty-year-old astrophysics student designing satellites to place in orbit around Mars and a self-starter entrepreneur longing to show my baby — nect MODEM — to the earth. I've had a few bumps on the road. Thankfully, I learned a few valuable lessons, and the experience of attending five conferences with my startup as my product made me reflect on a lot I'd like to share with other aspiring startup owners. 50. Taking on “12 Startups in 12 Months” Challenge in 2022 I am doing the 12 Startups in 12 Months challenge starting from January 2022. That means I need to build and launch one startup every single month of 2022! 51. How Tech Companies are Helping in Times of Covid-19 Crisis Since the pandemic COVID-19 is shaking all over the world, several people are dying and facing issues to earn for their livelihood. Well, big tech companies have responded with unusual alacrity and they are helping people during this crisis. 52. How to Negotiate a Letter of Intent (LOI) That Provides a Smooth Acquisition Process The buyer needs to see that there are no hidden surprises waiting for them. 53. Console #16: Fake Like Factories and Surviving the Surveillance Apocalypse 01/05/2020 54. Startups Are Thriving in LA: It's An Entrepreneurial Hot Spot In this article, there are some great insights about the Los Angeles business hub that places it in the lead in the post-pandemic era! 55. Useful Tools To Improve Your Business Performance To improve business performance, a business spends a lot of time, effort, and money unaware of the tools that can help him/her to boost business performance. 56. Product Marketer vs. Growth Marketer vs. Content Marketer: How to Choose Your First Marketing Hire Product, growth, and content marketers all have unique roles to play in your tech startup, but which should you prioritize? This article answers that question. 57. 9 Things I‘ve Learned About Running a Startup Almost 2 years ago, we launched Meddy out of a class project at college. We faced our fair share of challenges from lawsuits to team conflicts to engineering issues etc. 58. 7 Startups Founded During the Pandemic These 7 Startup Founders used the challenges presented by the Covid-19 pandemic to propel them forward. From asynchronous communication apps to a self-sanitizin 59. AI Startup Financing: 6 Best Seed Funding Options in 2022 So you have a new cutting-edge AI product/service idea. 60. The Ideal Tech Co-Founder for Your Startup: Expert Tips to Avoid Odds of Failure in 2021 Choosing a technical co-founder is one of the most important decisions you’ll make as an entrepreneur. 61. Descriptive Analysis: Why Did These 500 Trending Startups Shut Down? Discovering meaningful patterns in business failures. 62. Startup Journey: From Aviation To Fintech The ninth interview in the Startup Journey series: Building an airline out of necessity & an innovative fintech product out of passion Thank you for checking out the 62 most read stories about Tech Startups on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

62 Stories To Learn About Tech Startups

240 Stories To Learn About Startups Of The Year

95 Stories To Learn About Startup Founders

Let's learn about via these 93 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Interview Questions /Learn Repo 1. Java Algorithms: Merge k Sorted Lists (LeetCode) An easy approach to the hard leetcode problem Merge k Sorted Lists from that many people using Java Algorithms will need to learn in order to be effective. 2. Top 10 Interview Questions on Spring Boot In this article, we will discuss some important 10 interview questions in Spring Boot. These the entire question is trending with building strong java career in the job market. 3. Top 40+ Data Science Product Interview Questions Find the top 40+ product interview questions you must prepare for your next data science interview. 4. 3 Practical Tasks for Your Next React Interview Here are 3 React tasks to check your coding skills, way of thinking, and ability to create good understandable code. 5. Top 5 React Interview Questions in 2022 ReactJS is the most popular choice, and this lesson on how to answer ReactJS interview questions will help you get the job. 6. My 45-min Product Design Interview Experience What is Product Design interview, how it differs from system design interview, and how to pass it successfully. 7. How to Solve Product Design Questions|The Great PM Interview A comprehensive guide to Product Manager Interview questions asked in top Product companies (Facebook, Google, Whatsapp, Instagram). How to design a product ? 8. Top 5 Interview Questions for Beginner React Developers Here are 5 common interview questions you might hear in an interview. 9. STAR: The Best Framework for Answering Behavioral Questions in Tech Interviews The STAR Method is one of the most well-known interview frameworks out there that are perfect for answering behavioral interview questions. 10. A Better Way to Pass Technical Interviews To LeetCode or not to LeetCode? What if you don't want to practice 100s of coding questions before your next coding interview? 11. Top 15 Basic DevOps Interview Questions: 2021 Edition If you are looking for DevOps Interview Questions and answers, you are on the right page and below are some Real-time DevOps Interview Questions common in 2020. Go through all of them to crack your next interview. 12. Top 5 Interview Questions For Junior React Developers in 2022. Junior React developers trying to get a job are likely to come across these five interview questions  when trying to get a job in the industry as a grad. 13. Startup Interview: Questions for Nominees of Startups of the Year Hosted by HackerNoon Startups of the Year, hosted by HackerNoon, honors over 40k startups all over the world in cities with 100k+ population. Visit startups.hackernoon.com to vote. 14. How I Relocated to the US and Found a Job at Roku This post and the creation of the telegram channel were motivated by the lack of detailed information about interviews for Front-End engineers in the USA. 15. Landing A Job At Twitter As A Software Engineer [How I Did It] This is the story of how I landed a job at Twitter as a full-time software engineer, what I went through, how I prepared and why I finally decided to join the company. 16. Java Algorithms: First Missing Positive (LeetCode) The First Missing Positive problem is an algorithm problem that requires finding the smallest positive integer that is not present in a given unsorted array of 17. Andre, Founder of Tutti Frutti Women, on the Tech Industry and More Do women have a seat at the table in an ICT Corporation? How can tech companies and public sector reduce the gender gap in tech and not only? 18. Common MS Excel Questions to Help you Excel in a Data Analyst Job Interview EXCEL Interview Questions for Data Analysts 19. Meet the Writer: Interview Questions for Hacker Noon Top Contributors Interview Questions for HackerNoon's Top Contributing Writers 20. How to Conduct a Job Interview Stories of job interviews at large companies, ranging from unpleasant to weird or horrid, are very popular on dedicated forums. 21. How I Approached Machine Learning Interviews at FAANGs as an ML Engineer Cracking a Machine learning interview at companies like Facebook, Google, Netflix, Snap etc. really comes down to nailing few patterns that FAANGs look for. 22. 10 JavaScript Interview Questions and Answers to Help you Land Your Next Role 10 JavaScript questions for experienced developers that can help you crack your next interview. 23. Can Superheroes And Comics Survive In Web3? Today, some of the biggest rock stars are fans of comic books. It’s now the “cool” thing to be a comic book fan, and even adults are fine with having favorites 24. Junior Interviews Will Never Change The author compares the interview process in 2012 and 2020s. You will know how it happens from companies side. What you have to get an offer. 25. Hiring an Engineer: 7 Different Types of Engineering Interviews These are 7 Different Types of Engineering interviews that engineers may come when searching for jobs, including those used by large companies like Google. 26. Please Stop Using Stupid Puzzles in Job Interviews “Sam’s uncle’s mother’s brother’s sister’s daughter’s grandfather’s name is John. How are Sam and John related?” We need you to stop. 27. Problem Solving Questions During PM Interview Problem-solving question is the most frequent and recurring question asked PM interview. Here's a way on how shall one approach it. 28. A Simple Visual Chart to Help You Understand 'This' in Javascript Learn how to easily find the value of this in JavaScript and use it more effectively. 29. What Tech Newbies Need to Know According to Industry Insiders When junior or aspiring developers prepare for tech interviews, they tend to focus only on the technical part, which is of course very important. 30. 10 Ways To Effectively Sell Yourself During A Job Interview Get the job you want as markets are soaring to all new heights. The multitude of MNCs is overwhelming therefore there is the demand for employees and they are using best possible human resources in order to ensure their sustainability and growth in the competitive environment. Every employer requires the most desirable skills in an employee. 31. What To Prepare For A Software Interview Both interviewees and interviewers can benefit from understanding what to prepare for a software interview and how best to learn about their counterpart. 32. Breaking The Loop Of Trust While Dealing With Real-World-Data Between The Patients And Researchers In this interview, we spoke to the company’s Co-CEO and Co-Founder, Ashwin Rathod about its innovation. 33. Top Facebook System Design Interview Questions (Part 2) Facebook System Design Interviews; Design Proximity Server; Design Search Typeahead Suggestions; Design Top N Songs; Design Privacy Settings; Design Web Crawler 34. Why Interviewing As A Developer Is Complete Nonsense Learn what a developer goes through on every job search 35. A Look at the Top Questions for a System Design Interview at Facebook Facebook System Design Interview; Design Facebook NewsFeed; Design Status Search; Design Live Commenting; Design Facebook Messenger / WhatsApp; Design Instagram 36. How to Prepare for the Facebook Behavioral Interview Facebook Behavioral Interviews; Tell Me About A Time You Had To Manage Conflicting Priorities; Evaluation Criteria, Response Framework, and Tips & Tricks 37. Running Great Tech Interviews: The Art of the Follow-up Question This article gives sample software engineering interview questions, as well as my approach to conducting efficient interviews. 38. 5 Data Science Interview Questions via Facebook, Twitch, and Postmates There are data science interview questions that I’ve collected in the first few months of 2021 from Facebook, Twitch, Postmates, and more. 39. 6 Questions Devs Should Ask Interviewers To Discern Culture If you want to learn about growing a digital product without targeted advertising, subscribe to my newsletter Engineering Growth 40. Top Facebook Behavioral Interview Questions - Part 1 Facebook Behavioral Interviews: How they cover the topics of leadership, time management, ability to deal with disagreement while assessing the right fit. 41. How to Find the Longest Substring without Repeating Characters The Longest Substring Without Repeating Characters problem is to find the longest substring of a given string where no characters repeat. 42. 6 Common HTML and CSS Interview Question and Answers In this article, I will present some of the most frequent questions and answers made by interviewers. There will be questions about HTML & CSS. If you like reading, go ahead. If you don’t, you can still watch myself answering the same questions in this YouTube playlist I prepared. 43. Top Apache Kafka® Interview Questions for Juniors In 2023 Prep for an Apache Kafka interview by reading this questions! Aimed at juniors. 44. So, Do You Have Any Questions For Us? OR: How to ask the right questions in order to find your dream company. 45. Learning the art of Informational Interviews : Best Practices How to prepare and execute informational interviews to land a job faster. 46. Wait, People Cheat in Technical Interviews? Can you cheat in a technical interview? This approach for hiring tuned over decades is how you moneyball hiring & work with great people. 47. How To Find A Great Developer on Upwork My name is Eduard and I’m the CTO at Polecat. Sometimes I help my friends to find developers on Upwork. Below, I describe how I recently searched for a React developer on Upwork. 48. Top 5 Artificial Intelligence Questions Asked During Job Interviews The artificial intelligence (AI) field has been snowballing in the past two decades. To meet its exponential growth, the industry demand for individuals with related tech skills has doubled. According to LinkedIn, the need for experts in AI and machine learning (ML) grew by 74% annually in the past four years. Similarly, Indeed reported that the number of companies seeking talents with AI skills increased by 119% from 2018 to 2019. 49. How to Prepare for a Product Manager Interview [Part 3-From Zero to Product Manager] This article is Part 3 of the ongoing series From Zero to Product Manager. A set of articles that help you transition to a Product Management role. In this post, I provide tips to look for jobs and prepare for your interview. 50. Javascript Promise Methods With Polyfill Example: A Cheat Sheet for Developers 51. Technical Data Science Interview Questions: SQL and Coding A data science interview consists of multiple rounds. One of such rounds involves theoretical questions, which we covered previously in 160+ Data Science Interview Questions. 52. 3 Questions to Ask When Hiring Your  Startup's First Designer My first job as a UX designer was fresh out of grad school at a small startup with six people. It wasn't a great fit. I'd come from the world of print graphic design and had never designed a real-world digital software product. Even though I was enthusiastic, I had no experience to call on to know how to reconcile UX tradeoffs or convince the team why one design decision was better than another. 53. 160+ Data Science Interview Questions A typical interview process for a data science position includes multiple rounds. Often, one of such rounds covers theoretical concepts, where the goal is to determine if the candidate knows the fundamentals of machine learning. 54. 5 Useful Tips from My Amazon SDE II Interview Experience Amazon SDEII coding and system design interview experience from initial recruiter call to online assessment and onsite rounds. 55. The FAQs of RuboCup RuboCop is a Ruby static code analyzer and code formatter which helps to track errors easily and fix minor code issues during the development process saving your time. It has many advantages and you can learn more about RuboCop on https://docs.rubocop.org/en/stable/. 56. 23 Common Data Science Interview Questions for Beginners In 2012, Harvard Business Review called data scientists the sexiest job of the 21st century. However, correctly answering data science interview questions to get a job as a data scientist is very tricky. 57. Web Developer Job Interview Preparation: 25 Questions, Prompts, and Coding Assignments You’ve set the alarm for 2:45pm. 58. 35 In-depth Scrum Master Interview Questions and Answers [2020] From the desk of a brilliant weirdo #1: 59. How to Solve 6 Dynamic Programming Problems In a Systematic Way In this article, I gave you an introduction to Dynamic Programming with several examples. Here I will solve 6 harder Dynamic Programming problems to show you how to approach them. 60. How To Prepare For A Technical Interview As an engineer you will face several controversial situations when looking for a new job. I've been there too and now I'm sharing what worked for me. 61. BI Analyst Interview Questions And Answers: 2020 Edition Why you should prepare for BI analyst interview questions? 62. How to Ace Coding Interviews - Advice from a Former Amazon Dev I must have been in almost a hundred coding interviews. Sometimes as an interviewee and sometimes as an interviewer. I have struggled in front of the whiteboard and I have seen many candidates struggle. 63. Answering The Most Common Questions About Swift Swift is a general-purpose programming language developed by Apple Inc. It is a powerful language developed for iOS, iPadOS, macOS, watchOS, tvOS, Linux, and z/OS. Swift is one of the popular languages and has a huge scope if you want to develop apps for Apple products. So, today we will be checking out the 11 most asked Swift programming questions. 64. The Heat Index Of Questions About PHP PHP (Hypertext Pre-processor) is a popular server-side scripting language mainly used for developing websites and web applications. It can be used to build either static or dynamic websites. It is very simple and easy to learn. So, today we will be checking out the 11 most frequently asked questions about PHP. 65. 10 Essential Javascript Questions JavaScript is a client-side programming language. It is used in over 90% of the websites in the world. It is one of the most used programming languages in the world. So, today we will be talking about the 10 most
asked questions about JavaScript. 66. Data Structures and Algorithms: 20 Problem-Solving Techniques This is the article I wish I had read when I started coding. I will dive deep into 20 problem-solving techniques that you must know to excel at your next interview. 67. House Robber You need to solve this: given an integer array nums representing the amount of money of each house, return the maximum amount of money you can rob tonight. 68. Solving the Single Number and Climbing Stairs Coding Challenge author: Sergei Golitsyn
element appears twice except for one. Find that single one.
how many distinct ways can you climb to the top? 69. Uncovering Motivation in Engineering: an Interview with a Technical Recruiter Eric Gong talks about how to uncover a candidate's motivations during an interview and why that's so crucial to understanding if they are a culture fit or not. 70. Startup Interview with UB Ciminieri, interviewIA CMO interviewIA is a minority and Colorado-founded technology startup helping interviewers hire better with less bias using our interview collaboration platform. 71. The Noonification: From the Ocean’s Depths (9/17/2022) 9/17/2022: Top 5 stories on the Hackernoon homepage! 72. Demystifying Hoisting for Javascript Developers Struggled with JS hoisting in interviews? How let, var, const and function hoist differently? This article explains the concept and makes it easy to understand. 73. Implementing Stack Using Queue Sergei Golitsyn. Implement a last-in-first-out (LIFO) stack using only two queues. The implemented stack should support all the functions of a normal stack. 74. HackerNoon Contributor Denisa Ganea on HackerNoon, Human Existence, and Everything in Between I like to ask for opinions and feedback from people with more professional experience in the specific niche I’m researching (eg. for my last article I had very 75. Find the Celebrity A celebrity is known to everyone, but he does not know anyone at the party. 76. Implement Queue using Stacks author: Sergei Golitsyn
Implement a first in first out (FIFO) queue using only two stacks 77. 2022 Noonies Programming Nominee Roy Derks on GraphQL, React, and More I’m Roy Derks! A tech speaker, writer and software developer from the Netherlands! I’ve been nominated for the categories below and if you've enjoyed anything 78. Meet the Writer: Lisa Gibbons, Web3 Connoisseur, Forager, and Writer of Lines On the Edge Lisa is a writer, a struggling poet, a keen forager, and a Web3 enthusiast. 79. 3 Outside-the-box Questions to Ask During a Cybersecurity Interview When interviewing, I initially used the popular lists you find via Google. This led to asking questions that candidates that made selection even more difficult. 80. Meet the Writer: Bakir Djulich, Marketing Manager and Gaming Specialist Bakir Djulich is a marketing manager, a gaming specialist, and a HackerNoon writer. Find out more about him here! 81. My Favorite Kind Of Coding Interview Exercise How to prepare for a job interview as a programmer looking for a job that needs coding, how these simple exercises will help you prepare fully for it. 82. Examining the Dynamics of Blockchain Interoperability with Layer One X's Devs We spoke to its developers about the vision for Layer One X 83. HackerNoon Contributor Bob Wright on Coding, Writing, and More A brief interview with a HackerNoon contributor 84. 2021 Noonies Nominee Interview with Sarrah Pitaliya Who is she and what's behind her passion for technical writing? 85. A Letter to Tech Recruiters As a software engineer with more than 15 years of experience, a LinkedIn and Stackoverflow profile, I got my fair share of interaction with recruiters. Some were spot-on with the relaxed to the point attitude that gets an engineer’s attention. 86. HackerNoon Contributor Celine “Oibiee” Aju on Tech, HackerNoon, and the Arts As a tech writer, I believe that the most exciting technology of the present is ED-TECH because it gives us the opportunity to move from the assembly line appro 87. HackerNoon Contributor Nikita Vasilev on Programming, Python, and More I’m Nikita Vasilev and I’m the Senior Big Data Engineer at Grid Dynamics. I’ve been nominated for the categories below. 88. Finding Product of Array Except Self Sergei Golitsyn. Find the product of all the elements of nums except nums[i].
The product of any prefix or suffix of nums is guaranteed to fit in a 32-bit int 89. How to Successfully Interview Developers in 2022 Here is the exact process I’ve used to successfully interview software developers. 90. What Will It Take To Save the Internet? An Interview With Jeff Kosseff Jeff Kosseff, a former reporter turned lawyer and legal scholar, has emerged as one of the leading experts on the 1996 law... 91. Tips For Conducting Successful Remote Interviews How do you conduct effective remote interviews? Looking for remote interview tips? 92. How Developers Can Cultivate and Evaluate Problem Solving Skills Why we should all shift our gaze from the tools we have to the nature of problems and to their solutions. 93. How To Hire The Right Employee: 7 Steps To Take The article brings to you 7 phases of the recruitment process that range from analyzing an organization’s needs to finally hiring the candidate. Thank you for checking out the 93 most read stories about Interview Questions on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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When the tech world talks disruption, the term often conjures excitement about innovation: swift leaps forward that redefine industries, like those we’ve seen with artificial intelligence. And there’s no doubt that has been the case with AI across many sectors, as suddenly popular tools have driven unprecedented productivity gains in areas like healthcare and finance. But in some spaces, disruption takes on a more complicated, even unsettling, meaning. Nowhere is this more apparent than in the world of hiring, where the rise of AI is fundamentally changing the recruiting process and raising urgent ethical questions. The Way AI Has Benefitted Recruiting AI has delivered some big wins for recruiters, offering tools that streamline what was once tedious, time-consuming tasks. With AI-powered platforms, posting jobs across multiple platforms is now as simple as a few clicks, while machine learning algorithms sift through thousands of resumes, identifying top candidates in a fraction of the time it would take a human. Even pre-screening interviews and skills assessments can be automated, giving recruiters a more efficient way to qualify applicants. Even more advanced are the tools that automate pre-screening interviews and skills assessments, allowing recruiters to qualify candidates without direct interaction in the early stages. AI can now assess a candidate’s resume, score their suitability based on criteria, and even evaluate soft skills through automated video interviews. If you ask those working as recruiters, this efficiency allows more time to focus on relationship-building and strategic decision-making rather than getting bogged down in administrative tasks. But while these tools increase speed and efficiency, they also raise important ethical questions, perhaps none as important as whether these algorithms are evaluating candidates fairly. Given they've been trained on something, are they perpetuating biases baked into that training data? And with such heavy reliance on automation, do we risk reducing human candidates to data points, missing the nuances that make a person a good fit for a role?' Many job hunters feel they’re being unfairly screened out by AI tools, leaving them in the odd position of revamping their job-seeking strategies so they can impress AI software rather than human recruiters. That has pushed some job-seekers to combat AI with AI of their own. Fighting Fire With Fire: Job-Seekers Use AI to Level the Playing Field In a way that feels both all too predictable and a touch dystopian, job-seekers have started combating AI resume-screening software by leveraging AI resume-builder tools—software designed to impress other software. AI resume builders analyze job descriptions (which were likely AI-generated in the first place) and tailor resumes to fit the specific criteria prioritized by automated hiring systems. These tools optimize wording, structure, and even the use of keywords to increase the chances of passing through AI filters, ensuring that resumes aren’t discarded before ever reaching human eyes. Essentially, these tools reverse-engineer the AI’s logic, helping candidates craft documents that tick the right algorithmic boxes—maximizing their likelihood of making it through the initial screening, regardless of whether they’re the best fit for the role. It doesn’t stop there. For those who successfully use their software to convince the other software they’re worthy of an interview, developers have rolled out AI-powered tools to help them prepare through immersive interview simulations. These AI mock interview platforms simulate real-world interview scenarios by presenting job-specific questions, listening to the candidate’s responses, and providing instant feedback. The AI I’ve interacted with doesn’t just evaluate the content of the answer—it analyzes speech patterns, tone, pacing, and even non-verbal cues like eye contact and body language in mock video interviews. After each response, the software offers suggestions for improvement, helping candidates refine their answers and their delivery for the next round. These tools are designed to help job-seekers practice under conditions that closely mimic a real interview, giving them a sense of what to expect and the chance to fine-tune their performance. By offering feedback on everything from word choice to confidence levels, AI mock interviews aim to eliminate the guesswork of interview preparation, helping candidates feel more prepared, polished, and confident. These two solutions, while they undoubtedly raise ethical questions, are ultimately the modern equivalent of using a calculator—tools that enhance efficiency, tools that are increasingly accepted and visible in the workplace. In that light, you might ask if this is really a problem. Maybe, maybe not. But the real concern lies in what comes next. The Next Step: Are We Cool With Real-Time Interview Copilots? As you might expect, developers did not stop at resume optimization and mock interviews: there are teams who have built AI tools that actively assist candidates in real-time during the interview itself. These are real-time interview “copilots” that listen in on live interviews and suggest answers, questions, or conversational pivots as the interview unfolds. These AI copilots aim to guide candidates through tricky questions or help them navigate moments of uncertainty by offering pre-generated responses or highlighting key points from the job description. While this might sound like a dream come true for anxious job-seekers, it raises an important ethical question: is it fair to have AI whispering in your ear during an interview? Critics argue that real-time assistance crosses a line, giving candidates an unfair advantage, like a performance-enhancing drug for a hiring process. If one candidate has AI feeding them answers while another relies on their own experience and instincts, are they being evaluated on a level playing field? This is where the debate rages. In one Reddit thread on the subject, an interviewer argues a candidate is simply solving a “commonly asked question with a very commonly used solution,” one that they may perhaps even use in the course of the job. One commenter argues that anybody - even someone with no relevant skillset at all - could simply use these AI tools to land a job they’re incapable of. Another points out that it can be difficult to know whether someone is using AI to answer a question and wonders how one can judge such a question fairly. Therein lies the debate. Where the AI HR Arms Race Goes From Here The hiring process appears to be the ground for an AI arms race between job-seekers and employers, each trying to outmaneuver the other with more advanced tools. This tension creates a troubling dynamic, leaving the greater community with a critical question: where is the line, and how far is too far? This is the heart of the conversation as the calendar flips to 2025. As AI continues to disrupt - not just in recruiting, but seemingly everywhere - the ethical lines grow blurrier and blurrier. When the tech world talks disruption, the term often conjures excitement about innovation: swift leaps forward that redefine industries, like those we’ve seen with artificial intelligence. And there’s no doubt that has been the case with AI across many sectors, as suddenly popular tools have driven unprecedented productivity gains in areas like healthcare and finance. But in some spaces, disruption takes on a more complicated, even unsettling, meaning. Nowhere is this more apparent than in the world of hiring, where the rise of AI is fundamentally changing the recruiting process and raising urgent ethical questions. Nowhere is this more apparent than in the world of hiring, where the rise of AI is fundamentally changing the recruiting process and raising urgent ethical questions. The Way AI Has Benefitted Recruiting AI has delivered some big wins for recruiters, offering tools that streamline what was once tedious, time-consuming tasks. With AI-powered platforms, posting jobs across multiple platforms is now as simple as a few clicks, while machine learning algorithms sift through thousands of resumes, identifying top candidates in a fraction of the time it would take a human. Even pre-screening interviews and skills assessments can be automated, giving recruiters a more efficient way to qualify applicants. Even more advanced are the tools that automate pre-screening interviews and skills assessments, allowing recruiters to qualify candidates without direct interaction in the early stages. AI can now assess a candidate’s resume, score their suitability based on criteria, and even evaluate soft skills through automated video interviews. If you ask those working as recruiters, this efficiency allows more time to focus on relationship-building and strategic decision-making rather than getting bogged down in administrative tasks. But while these tools increase speed and efficiency, they also raise important ethical questions, perhaps none as important as whether these algorithms are evaluating candidates fairly. Given they've been trained on something , are they perpetuating biases baked into that training data? And with such heavy reliance on automation, do we risk reducing human candidates to data points, missing the nuances that make a person a good fit for a role?' something Many job hunters feel they’re being unfairly screened out by AI tools , leaving them in the odd position of revamping their job-seeking strategies so they can impress AI software rather than human recruiters. unfairly screened out by AI tools That has pushed some job-seekers to combat AI with AI of their own. Fighting Fire With Fire: Job-Seekers Use AI to Level the Playing Field In a way that feels both all too predictable and a touch dystopian, job-seekers have started combating AI resume-screening software by leveraging AI resume-builder tools—software designed to impress other software. other AI resume builders analyze job descriptions (which were likely AI-generated in the first place) and tailor resumes to fit the specific criteria prioritized by automated hiring systems. These tools optimize wording, structure, and even the use of keywords to increase the chances of passing through AI filters, ensuring that resumes aren’t discarded before ever reaching human eyes. Essentially, these tools reverse-engineer the AI’s logic, helping candidates craft documents that tick the right algorithmic boxes—maximizing their likelihood of making it through the initial screening, regardless of whether they’re the best fit for the role. It doesn’t stop there. For those who successfully use their software to convince the other software they’re worthy of an interview, developers have rolled out AI-powered tools to help them prepare through immersive interview simulations. These AI mock interview platforms simulate real-world interview scenarios by presenting job-specific questions, listening to the candidate’s responses, and providing instant feedback. AI mock interview The AI I’ve interacted with doesn’t just evaluate the content of the answer—it analyzes speech patterns, tone, pacing, and even non-verbal cues like eye contact and body language in mock video interviews. After each response, the software offers suggestions for improvement, helping candidates refine their answers and their delivery for the next round. These tools are designed to help job-seekers practice under conditions that closely mimic a real interview, giving them a sense of what to expect and the chance to fine-tune their performance. By offering feedback on everything from word choice to confidence levels, AI mock interviews aim to eliminate the guesswork of interview preparation, helping candidates feel more prepared, polished, and confident. These two solutions, while they undoubtedly raise ethical questions, are ultimately the modern equivalent of using a calculator—tools that enhance efficiency, tools that are increasingly accepted and visible in the workplace. In that light, you might ask if this is really a problem. Maybe, maybe not. But the real concern lies in what comes next. But the real concern lies in what comes next. The Next Step: Are We Cool With Real-Time Interview Copilots? As you might expect, developers did not stop at resume optimization and mock interviews: there are teams who have built AI tools that actively assist candidates in real-time during the interview itself. These are real-time interview “copilots” that listen in on live interviews and suggest answers, questions, or conversational pivots as the interview unfolds. These AI copilots aim to guide candidates through tricky questions or help them navigate moments of uncertainty by offering pre-generated responses or highlighting key points from the job description. While this might sound like a dream come true for anxious job-seekers, it raises an important ethical question: is it fair to have AI whispering in your ear during an interview? is it fair to have AI whispering in your ear during an interview? fair Critics argue that real-time assistance crosses a line, giving candidates an unfair advantage, like a performance-enhancing drug for a hiring process. If one candidate has AI feeding them answers while another relies on their own experience and instincts, are they being evaluated on a level playing field? This is where the debate rages. In one Reddit thread on the subject , an interviewer argues a candidate is simply solving a “commonly asked question with a very commonly used solution,” one that they may perhaps even use in the course of the job. One commenter argues that anybody - even someone with no relevant skillset at all - could simply use these AI tools to land a job they’re incapable of. Reddit thread on the subject Another points out that it can be difficult to know whether someone is using AI to answer a question and wonders how one can judge such a question fairly. Therein lies the debate. Where the AI HR Arms Race Goes From Here The hiring process appears to be the ground for an AI arms race between job-seekers and employers, each trying to outmaneuver the other with more advanced tools. This tension creates a troubling dynamic, leaving the greater community with a critical question: where is the line, and how far is too far? This is the heart of the conversation as the calendar flips to 2025. As AI continues to disrupt - not just in recruiting, but seemingly everywhere - the ethical lines grow blurrier and blurrier.

The Modern Job Hunt: AI Interviewing AI

Author:
(1) Tiffany N. Younger, The Graduate Center, City University of New York, New York, NY 10016, USA (tyounger@hunter.cuny.edu). Author: Author: (1) Tiffany N. Younger, The Graduate Center, City University of New York, New York, NY 10016, USA (tyounger@hunter.cuny.edu). Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2. Early Life 2. Early Life 3. Whiteness as an Institution 3. Whiteness as an Institution 4. The Triple Threat 4. The Triple Threat 5. The Academic Plantation Field 5. The Academic Plantation Field 6. The Future Is Black Women 6. The Future Is Black Women 7. Imagination as a Tool 7. Imagination as a Tool 8. Imagination through Research 8. Imagination through Research 9. Imagination through Play 9. Imagination through Play 10. Collaboration as Imagination 10. Collaboration as Imagination 11. Conclusions and References 11. Conclusions and References 4. The Triple Threat As Black women, we suffer double exploitation due to what Crenshaw (1991) calls intersectionality, which is the way anti-black policies and gender inequities result in gender anti-black racism. The third silent threat we rarely discuss is the threat of being highly formally educated in addition to being a Black woman. The intersection of gendered anti-black racism has a particular impact on darker-skinned women. As a dark-skinned Black woman initially, I was unaware of how racism intersected with colorism as a young adult. Today, as a professional, I can clearly see the way my darker skin plays a huge role in the oppression I face. I have been in numerous spaces where women of color have been at the “table”, and when I got there, I was the only darker-skinned woman of color. I have also witnessed how other women of color conducted a classroom difficult conversation the same way I have and received praise, whereas I have been told in anonymous surveys from students that my “tone is making everyone uncomfortable” when I am direct in my dialogue. Furthermore, I have witnessed advisors and faculty who were a part of my doctoral process pit me against the one other lighter-skinned Black woman who was in my cohort. Somehow, when advising me on how to go about my career and work, they would refer to the other student’s approach to her work as an example of “excellent” research and her career trajectory. While I agreed that my fellow doctoral sister-friend’s work is, in fact, stellar, the conversations made me extremely uneasy. My body told me it was more to the comparison; however, I did not have the language at the start of my career. We were both brilliant Black women, and if whiteness had won, we would not have been on the same team. Thankfully, she and I both understand abundance, and there is room for both of us; however, our intellect and collaboration are a direct threat to whiteness. Institutional whiteness seeks to divide. Centering Blackness leads to collaboration. While our Blackness and womanhood are constantly used as a DEI checkmark, our educational success and intel are viewed as a threat. Thomas et al. (2013) conceptualized the theory “pet to threat”, through a psychological study of Black women’s journey to their mid-career which highlights how bosses go from liking Black women to disliking them and deeming them a threat to the work environment and institution. Black women are the belly of the world. Hartman (2016) states, “The plantation is a womb/abyss. The plantation is the belly of the world.” Black women function as an intellectual plantation within institutions; we are the primary producers, conceptualizers, and creators within social service organizations and academia. Our creation is inductive. We seek to create new epistemological and ontological frameworks. Despite our circumstances and structural oppression, we still manage to use our imagination and vision. When I was first hired in many of my professional roles, directors and managers were excited about my passion and creative imagination. I have encountered numerous occasions where directors expressed being impressed with my academic and professional achievements despite my upbringing in a resource-deficient environment. In one instance in particular, a white male CEO interviewing me for a consulting position bluntly asked, ‘How did you make it this far given your upbringing?’. While to some, these comments might serve as a compliment, if listening closely, there is almost an undertone of “you are not supposed to survive what was designed to harm you”. The survival of Black womanhood, despite what Collins (2000) calls the “matrix of domination”, is often appalling to folks who have power. It also serves as a threat because the more we survive and thrive as Black women, the more we threaten the reality of the ideologies of dominance. Whiteness is exposed for the lies it has created and perpetuated. Resistance is crucial. Due to my on-the-ground training in advocacy and education, I have resisted within institutions and have not been forced to resign or terminated (yet). I have, however, been silenced, uninvited to meetings, and labeled a “troublemaker”. My training in policy has supported me in navigating institutional violence, but I also acknowledge that I will never be able to holistically exist in an institution that was not designed for people who look like me. Although I have not been removed from any of my employment positions, I have been surveilled and “set up”. On two occasions, I have had directors inadvertently send me emails and text messages about me with an outlined plan to watch my every move to document a mistake for human resource purposes. I have had a white male CEO include me in an email not for me and say, “we are going to get her ass”. On both occasions, I responded back to the messages, and both parties ignored my response to protect themselves. Whiteness is sloppy; when confronted, whiteness shrinks. There is a shelf life for Black women working in institutions that center power. I experienced and observed that Black women seem to have approximately eighteen months to two years within institutions before they become a threat. There is a constant dehumanization and ungendering that happens to Black women in institutions which is designed and regulated by institutional policies. Black women have historically been “ungendered” since US chattel slavery. The constant ungendering served as a justification and institutional functioning of US chattel slavery (Spillers 2013). This ungendering happens within institutions the moment darker-skinned Black women’s passion is labeled aggressive or “unprofessional”. Our intellect, leadership, and drive for change are viewed as “having an agenda”, when in fact I have admitted to an agenda during the interview process. The agenda is racial and gender equity. What was previously celebrated and sought after is now controlled, deemed unprofessional, and an ultimate threat to the institution. Whiteness perpetuates harm to protect itself. Gem #4. Gather a team of four to seven people who can remind you of who you are, challenge you, and hold you accountable. If whiteness seeks to change the way you speak, dress, or “carry yourself” guised as professionalism, it is dehumanizing. Make sure the critique is based on tangible work outcomes, things you can change without stripping who you are. Gem #4. Gather a team of four to seven people who can remind you of who you are, challenge you, and hold you accountable. If whiteness seeks to change the way you speak, dress, or “carry yourself” guised as professionalism, it is dehumanizing. Make sure the critique is based on tangible work outcomes, things you can change without stripping who you are. Gem #4. Gather a team of four to seven people who can remind you of who you are, challenge you, and hold you accountable. If whiteness seeks to change the way you speak, dress, or “carry yourself” guised as professionalism, it is dehumanizing. Make sure the critique is based on tangible work outcomes, things you can change without stripping who you are. Gem #4. Gather a team of four to seven people who can remind you of who you are, challenge you, and hold you accountable. If whiteness seeks to change the way you speak, dress, or “carry yourself” guised as professionalism, it is dehumanizing. Make sure the critique is based on tangible work outcomes, things you can change without stripping who you are. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

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