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Are you tired of Googling ‘how to prepare for an interview’ only to get pages of overwhelming results? We get it, we’ve been there many times. It can be exciting but terribly exhausting. Screens after screens after interviews after rejections. If you’re experiencing job search burnout, you’ve come to the right place!
We’re sharing tips that have personally helped us prepare and nail the interview process. We’ve put together a Job Search Survival Kit to help you filter through the fluff, maintain confidence and come out on top.
The average job search process takes 5 months from application to hire so it’s important to maintain a healthy pace and mindset throughout. (topresume.com)
A common mistake most of us make when we decide it’s time to look for a new job is diving right into updating resumes and mass applying to job posts. Especially when you’re unemployed, you probably feel way more pressure to hit the ground running, but there are some important steps to take ahead of time to help you prevent burnout and create a better overall experience.
Whether you’re passively or actively looking for a new job, taking time to fully understand what you’re looking for and why is key to setting yourself up for success.
It’s a lot easier to find the right fit when you know what you’re looking for and it helps you network more effectively too.
Reflective questions to ask yourself:
Schedule certain times and days that you can commit to your job search to help balance stress and avoid burnout. Especially if you’re working a full-time job, setting aside time to job search is vital.
What time of day do you feel most energized and focused? What days do you have the most flexibility and time to allow for your job search?
Before you dive into updating your LinkedIn profile and resume, take what you learned from your reflective questions and start applying it to figuring out what companies, industries and jobs are ideal for you and your needs.
Companies – Know their mission, values, culture, and anything else that’s important to you so you can focus on those kinds of companies.
Industries – Do you want to pivot industries? Why? If you want to stay in the same industry, understand why so you can strengthen your profile and resume to cater to that.
Jobs – Reach out to your network and ask for informational interviews with people in positions you’re targeting so you ask questions that will help you determine if that position is a fit.
Now that you have a better idea of what you’re looking for and why, you can start to tailor your resume to align with the kinds of opportunities you want to interview for.
Resume writing is annoyingly subjective. No matter how many people you ask for resume help, you will always get different responses.
Recruiters and hiring managers are reviewing a crazy amount of resumes daily. When you’re asked about your experience, don’t read the bullets. They’ve got that covered. Hiring managers want to hear more context and depth to your experience.
This is usually the first thing recruiters see, so it’s important to make sure your LinkedIn profile is updated and includes keywords that are relevant to your job search.
Don’t know where to start? Check out this webinar of James Hornick and Ryan Brown who give everyone a look under the hood into the LinkedIn Recruiter platform to see how searches are executed and which parts of your profile are most important.
Watch the webinar here: Webinar: Optimizing Your LinkedIn Profile – Giving Job Seekers the Recruiter’s View of LinkedIn
TLDR: You can apply most resume tips to your LinkedIn profile.
Now it’s time to tap into one of your biggest advantages – your network. Forbes found 85% of job vacancies are filled via networking.
Friends, family, and colleagues want to help you find the right job so don’t be afraid to ask for a connection. Make a list of people you know at companies or in jobs that interest you and use that as your compass.
You can also look for virtual networking events to help expand your network. This is a great way to hear what else is out there and learn best practices. You never know who you’ll meet!
This principle states about 80% of outcomes from 20% of causes. And it works great with the job search process and keeping things in perspective – don’t spend more than 20% applying to job posts so you can spend 80% networking.
This is a unique way to share your skills and expertise as it relates to the job in a way that’s actually interesting and engaging. Instead of saying “I’m hard-working and resourceful,” tell a story of how you illustrated hard work and resourcefulness. Keep it engaging, easy to remember and to the point.
Here are some tips to get you started:
But first, you have to nail that phone screen. You’ve probably had countless phone screens with too many recruiters to count and it’s exhausting! Instead of just going through the motions, treat it like a practice interview.
Prepare for the phone screen:
It’s more important than you think! The recruiter is the gatekeeper to the hiring managers so make sure you leave a good impression by doing the work ahead of time. If you can’t make the screen or you need to reschedule, please let your recruiter know ahead of time. No shows are a no go – we’re all adults here.
Here are tips on how to set yourself up for success:
Always have questions prepared. If questions come up during the interview, write them down so you can ask them later. The last thing you want is for the interviewer to ask if you have any questions and you say “Nope.” Asking questions shows you’re engaged, interested and want to know more about the company and opportunity.
Here are some examples:
Over the last year, hiring teams have started seeing a wave of new job titles pop up across tech, sales, and operations.
Some are legitimate new roles.
Others are existing jobs with a slightly different name.
And many of them have one thing in common: AI is suddenly part of the job description.
From Go-to-Market Engineers to AI Specialists, companies are experimenting with new roles as they figure out how automation and AI fit into their teams.
But most of these positions aren’t entirely new. They’re evolutions of existing roles.
One role that is gaining traction is the Go-to-Market Engineer.
Depending on who you ask, it is either:
In practice, it is a bit of both.
As Matt Tokarz recently pointed out after closing a search for an Outbound & Go-to-Market Specialist, the role looked very different from traditional RevOps. The focus was not reporting or CRM hygiene. It was building prompts, leveraging tools like Clay and Smartlead, and enabling SDRs and AEs with backend insights to accelerate pipeline growth.
Instead of traditional RevOps work like reporting and CRM management, the focus was on:
The goal was not simply managing sales data. It was accelerating pipeline generation through automation.
One trend is becoming clear. Companies are not replacing entire departments with AI.
Instead, they are changing how existing roles operate.
Sales teams still need pipeline.
Marketing teams still need content.
Engineering teams still need to build software.
The difference is that employers now expect candidates to use AI tools as part of their workflow.
As Zac Colip noted during the discussion, we are currently in a transitional phase where companies are labeling roles with “AI” as they experiment with how the technology fits into teams.
But that may not last forever.
Right now, AI still feels new enough that companies highlight it in job titles.
But eventually, AI will likely become a baseline expectation, not a specialty.
Think about it like cloud technology or data analytics.
At first, companies hired “cloud specialists.” Now most engineers are expected to understand cloud infrastructure.
The same shift will likely happen with AI.
Instead of hiring “AI-enabled marketers” or “AI engineers,” companies will simply expect employees to know how to work with AI tools.
One challenge with these emerging roles is simple: there aren’t many candidates with real experience yet.
Many of these positions didn’t exist two years ago.
In one recent search, we started looking for a candidate locally in Chicago. Eventually we expanded nationwide because the pool of people with relevant experience was extremely limited.
This is a common issue with emerging roles:
That gap will likely persist for the next few years.
Another noticeable shift is that roles are becoming more hybrid.
Instead of hiring for narrow responsibilities, companies are combining multiple functions into one position.
As Matt Mulcahy highlighted, one example is the rise of Forward Deployed Engineers, a model popularized by Palantir.
These engineers:
What used to involve several roles, including product managers, engineers, and solution architects, can now sometimes be handled by one person. AI development tools are part of what makes this possible.
Not every industry is moving at the same pace.
As Ashley DuBois pointed out, some sectors, such as transportation, are applying AI to specific workflows like load booking and operational automation.
At the same time, some companies are adding “AI” to job titles even when the core responsibilities remain largely traditional.
In many cases, it is still essentially an IT manager role with AI familiarity layered in.
This reflects a broader transition period where companies want to signal modernization and candidates want to signal relevance.
In logistics, AI is increasingly handling scheduling, tracking, and coordination tasks.
According to Brittany Lasky, operational roles such as logistics coordinators may experience the greatest impact from automation.
However, freight brokers who manage negotiation and strategic RFPs remain in demand.
AI can optimize processes. It does not replace relationship management or strategic negotiation.
Across industries, a pattern is emerging.
Execution becomes automated. Strategy becomes more valuable.
Automation is also reshaping finance and accounting roles.
As Adam Slater noted, accounts receivable jobs that once focused on high-volume manual processing are evolving into more analytical positions centered on reporting and insights.
The work is not disappearing. The expectations are increasing.
Organizations are now hiring for:
Even roles traditionally considered administrative now require deeper technical capability.
AI is not eliminating analyst roles. It is expanding them.
Financial analysts are also expected to understand tooling, sourcing, and data transformation.
In many cases, two or three roles are being combined into one.
This raises a long-term question.
If entry-level roles become more complex or disappear entirely, how will organizations develop senior talent in the future?
The traditional model of high-volume cold calling is changing.
According to Jack Smith and Emily Canna, teams are shifting toward:
At the same time, companies are moving away from activity-based KPIs and focusing more on outcomes such as demos set and SQLs generated.
In a market saturated with automated outreach, authentic communication has become a competitive advantage.
Several clients have said it directly. They want a human in the seat.
Every six to twelve months, hiring trends in go-to-market teams shift.
As Jennifer Salerno noted, companies move through cycles.
One quarter it is BDRs.
Then RevOps.
Now it is go-to-market engineers.
Many companies experimented heavily with AI to accelerate pipeline generation.
What those experiments exposed were structural gaps, particularly in outbound strategy.
AI can support execution. It does not replace a well-built top-of-funnel engine.
Inbound momentum can hide weaknesses. Outbound forces clarity.
The companies gaining traction right now are not chasing trends. They are rebuilding the fundamentals of their go-to-market strategy.
For employers, the takeaway is straightforward. Job descriptions and expectations need to evolve alongside technology.
Across functions, we are seeing the same shift play out. AI is not eliminating entire roles. It is changing how those roles operate and increasing the baseline skill set required to perform them well.
Hiring managers should start thinking less about traditional titles and more about capabilities. That often means prioritizing candidates who can:
In many cases, the perfect candidate with the exact title simply does not exist yet. The strongest hires are often people who have developed adjacent skills and shown the ability to adapt as the tools evolve.
The broader trend is that AI is accelerating a shift that was already underway.
Roles are becoming more hybrid. Expectations are increasing across nearly every function. And repetitive tasks are being automated, leaving more strategic work behind.
Sales teams still need pipeline.
Operations teams still need coordination.
Finance teams still need reporting and analysis.
Engineering teams still need to build software.
What is changing is how the work gets done and what skills are required to do it well.
Right now we are in a transitional phase where companies are still labeling roles with “AI” as they experiment with new workflows and technologies.
Over time, that label may disappear.
AI will simply become part of how work gets done.
And the roles themselves, while evolving, will look more familiar than the titles might suggest.