Do you write resumes for fun? 👀
Yeah, we thought so 😅
But they’re still super important!
That’s why this week we’re giving you an updated guide so you can update your resume and
(hopefully 🤞) get hired.
It’s no secret. The key to making your resume stand out against the rest is to include numbers and results.
Here's an example of one that ResumAI created:
Notice how it doesn't say something unspecific like
"met sales targets.”
Instead, it says "achieved an average of 120% of sales goals for 6 months straight.”
Seems simple, but most job seekers mess this up.
And the good news is that you don’t have to spend time writing bullet points like this.
Because ResumAI has AI-powered features that create result-oriented bullet points with just a few clicks.
Here's how it works:
Just fill in your information:
And get some creative, tailored bullet points:
These resumes might look nice:
So why shouldn’t your resume look like them?
Software usually scans your resume before it’s even seen by a recruiter. And when it scans, it can easily miss content in customized images or columns.
So go with something effective, something that’s sure to scan correctly, something like this:
It won’t win any art competitions.
But that's the point.
This resume template is statistically likelier to pass an ATS compared to a fancy one with cool colors and multiple columns.
Relevant skills are ones that relate to the specific job you’re applying for.
We know you’re awesome and you want to include all your super cool skills, but if (for example) you're currently a sales associate and you want to become a data analyst, avoid highlighting skills such as merchandising and cash handling.
Instead, you'll want to highlight relevant skills like:
✅ Communication: As a sales associate, you likely honed your verbal and written communication skills, which are vital in a data analyst role when presenting findings, writing reports, or collaborating with team members.
✅ Negotiation: Although not directly related, the negotiation skills gained in sales could be useful in a data analyst role when collaborating with other departments or advocating for resources or strategies based on your data findings.
So there you have it! You’re ready to update your resume for the roles you’re applying for!
But if you’re already procrastinating on updating your resumes, we have the cure.
You guessed it: ResumAI 🤖
We’re here for the underdogs.
But also regular dogs/pups/pupper-duppers, etc. 🐶
So when our teammate Christian shared a picture of his happy pup and asked us to do the same, we did!
First, here’s Christian and his happy pup:
Then Angela posted her “kitchen helper ❤️”
Mark shared his “little baby”:
And Stefanie shared a picture of a “random happy street dog in Istanbul :)” 😂
For the last few months, we've highlighted industries outside of tech that you might want to consider venturing into.
But this month, we’re changing it up.
This month we’re focusing on emerging industries that are expected to boom in the next 5-10 years.
So if you’re considering a career pivot, we’ll help you catch the wave early! 🌊
This week’s all about AI.
But how can you break into AI?
What’s one of the easiest routes?
One of the best ways is to get involved with an AI startup.
And you can find them on topstartups.io
Here are their top five AI startups (by valuation) as of July 2023:
Greylock is a collaboration between various billion-dollar companies, including Figma and Abnormal Security, to hire for a series of startups. The firm is located in the San Francisco Bay Area, California, and was founded in 1965.
Cynch AI is a San Francisco-based startup that aims to build AI for accounting and financial decision-making. The company was founded recently in 2022.
A remote startup founded in 2022, Hypertune, is developing a type-safe feature flag, A/B testing, and AI-powered optimization platform.
Located in London, Synthesia is working on AI avatars that can generate professional videos in minutes. Established in 2017, they have already grown to between 201-500 employees.
OpenAI is a San Francisco-based non-profit AI research company that was founded in 2015. The organization's mission is to discover and implement the path to safe artificial general intelligence.
Keep in mind these are just 5, there are literally tons out there - you just have to be on the lookout.
Here are the top five:
What it does: Data Science involves extracting knowledge from data, recognizing patterns, and informing decisions through statistics, machine learning, and programming.
Why it's important: In AI, data is everything. Mastering data manipulation and understanding can drive the creation of effective models, crucial for predictive and analytical tasks.
What it does: A branch of AI, Machine Learning focuses on developing algorithms that improve from experience and solve problems such as image recognition or fraud detection.
Why it's important: Machine Learning forms the backbone of many AI systems, allowing them to automatically learn, adapt, and improve.
What it does: NLP lets computers interact with humans in natural language, powering applications like chatbots and voice assistants.
Why it's important: As AI systems increasingly interact with people, NLP allows these systems to understand and respond in human language, improving their usability and effectiveness.
What it does: Robotics involves designing and operating robots for various applications, including manufacturing and healthcare.
Why it's important: Robotics brings AI into the physical world, enhancing productivity and tackling tasks beyond human capabilities. Knowledge in this field is crucial for the development of AI-driven physical systems.
What it does: Cybersecurity focuses on protecting computer systems from unauthorized access, theft, or damage.
Why it's important: With the rise of AI, securing these advanced systems from cyber threats is paramount, making cybersecurity an essential skill in the AI domain.
Want more practical steps on how you can break into AI? Click here.
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