Make Your Move

Job Hunting with AI

The job market has always been competitive. Right now, it’s ruthless. Whether you’re chasing your first SE role or recovering from a layoff that you didn’t see coming, you’re running the same play; limited time, a crowded field, and a hiring process that feels like a black box.

Here’s what most people miss though. The job search is a sales cycle. There’s a buyer (the hiring manager), a competitive landscape (every other applicant flooding the same inbox), and a close (the offer). SEs already know how to run that motion in their sleep. The problem is almost none of them apply it to themselves.

AI changes the equation. Not by doing the work for you, but by compressing the timeline and sharpening your execution at every single stage. Think of it as an accelerant, not a replacement for the actual thinking. In this guide we’ll walk the full job hunt from first signal to final close, with AI injected as a force multiplier along the way.

Run Intel Before You Apply

Most people apply first and research later, if they research at all. That’s completely backwards. You wouldn’t walk into a customer call without knowing anything about the account, so why would you apply to a company you know nothing about?

Treat every target company like a prospect. Do the recon before you make a move. Here’s where AI earns its keep:

Summarizing recent news, funding rounds, leadership changes, and product launches for a target company
Spotting the signals that a company is growing for the right reasons versus quietly heading into contraction mode
Building a quick account brief on the company before you apply, so your resume and outreach already speak their language

Tip: If the company had a rough earnings call last quarter or just announced layoffs in another division, that’s intelligence worth having before you sink two weeks into their interview process. Better to find out now than three rounds deep.

Decode the Job Description

Job descriptions are written by committee. They’re bloated, wishlist-driven, and half the time they have nothing to do with what the role actually requires day-to-day. Before you tailor a single thing, you need to figure out what actually matters in that posting.

Here’s how AI helps you cut through it:

Stripping the JD down to its core; what does this hiring manager actually care about?
Telling the difference between “required” and “nice to have” (the line is way blurrier than the formatting suggests)
Surfacing the specific language and terminology the team uses, which feeds straight into your resume, outreach, and impact brief later

Tip: Paste the full JD into your AI tool of choice and ask it to rank the top five problems this hiring manager is actually trying to solve. The output will probably surprise you, and it’s a lot more useful than the bullet list of “requirements” you were staring at.

Find the Right Roles

Applying to everything is a volume trap. You’ll burn time, you’ll get generic, and you’ll burn out before you land anything. The goal isn’t more applications, it’s better targeted ones.

This is where you let AI do the filtering for you:

Building a targeting framework (industry, company stage, team size, SE-to-AE ratio) before you open a single job board
Scanning and summarizing a stack of job postings quickly so you can compare signal versus noise
Flagging the roles that match your criteria against the ones that just sound good on paper

Build a short list, not a long one. Fifteen targeted applications will beat a hundred generic ones every time.

Tip: Use AI to cross-reference your target list against public data; LinkedIn headcount trends, recent press, funding history. A quick gut check on whether a company is actually worth your time can save you weeks.

Personalize Your Resume Fast

A generic resume is a disqualification waiting to happen. Every application needs to mirror the language and priorities of that specific role. The catch is that personalizing every resume by hand takes hours, which is exactly why most people don’t do it. AI compresses that down to minutes.

Rewriting bullet points to match the language and keywords from the JD, without losing what makes them authentic
Identifying which parts of your experience are most relevant for that specific role, then surfacing them higher up the page
Flagging the gaps; the things the JD asks for that your resume currently doesn’t address at all

The goal here isn’t to fabricate anything. It’s to make sure the right version of your real experience shows up for each role.

Note: Always review the output before you send it. AI will get you 90% of the way there, but your voice and your specifics need to be in there. Generic AI polish is easy to spot, and hiring managers are getting better at spotting it every day.

Pressure-Test Your Story

SEs are trained to handle objections. Funny enough, most are completely unprepared to handle objections about themselves. Your “why,” your career narrative, your positioning; all of it needs to hold up under scrutiny before you’re sitting across from a hiring manager.

Put AI in the hot seat across from you:

Have it play a skeptical recruiter. “Why did you leave your last role?” “Why should we hire you over someone with more experience?”
Use it to find the holes in your narrative before a human does
Sharpen both the 30 second and the 2 minute versions of your story

Tip: Record yourself delivering your story after you’ve pressure-tested it with AI. The combination of AI feedback and watching yourself back is faster and a lot more honest than practicing in front of a friend who’s just going to tell you it sounded great.

Build Public Proof Points

In a crowded applicant pool, claims are cheap. Evidence wins. Proof points are public-facing assets that show you can do the work before anyone thinks to ask.

Drafting short-form LinkedIn posts that document your expertise, a lesson you learned, or a tactic that actually worked (in your voice, not a robot’s)
Turning a past deal win or technical challenge into a structured field debrief
Repurposing one strong story into multiple formats, so you’re not starting from a blank page every time

The format matters less than the consistency. Pick one channel and show up on it.

Real World Example: A hiring manager who has already watched you break down a complex technical concept clearly on LinkedIn is a hiring manager who’s halfway sold before you ever show up to the interview. You’ve done the demo before the demo. That’s the whole point.

Run Mock Interviews

The SE interview process is notoriously long and layered. Intro call, panel, technical screen, mock demo, final round. Each stage is its own obstacle, and most candidates show up underprepared because they practiced with people who went easy on them.

AI doesn’t go easy on you (unless you ask it to):

Simulating each interview stage, from the recruiter screen all the way to the dreaded mock discovery call
Throwing hard follow-up questions at you to expose where your answers go soft
Giving you structured feedback; what landed, what was vague, what raised a flag

Tip: Run a mock discovery call where AI plays a skeptical VP of Security. Tell it to push back on your questions, give you minimal answers, and throw in a curveball objection halfway through. That’s the rep you actually need before the real thing. After each session, ask it to summarize your top three weaknesses, then run it again. The gaps that keep showing up are the ones to fix first.

Personalize Your Outreach at Scale

You can’t just apply and wait. Hiring managers are buried, and if you didn’t follow up, you didn’t stand out. The problem is that personalizing outreach to every contact at every target company eats your whole day if you do it manually.

Drafting connection requests and follow-up notes that reference something specific about the company or the person
Writing outreach that doesn’t read like a template, because the hiring manager has seen every template ever written
Helping you time and sequence your follow-ups so you’re persistent without being that person

Tip: The best outreach leads with what you can offer, not what you want. Use AI to help you frame every message around the value you’d bring, not the role you’re chasing. Nobody owes you a reply, so give them a reason to want to send one.

The Impact Brief: Your Close Move

This is the tactic almost nobody uses, which is exactly why it works so well. An impact brief is a one-page document you send to the hiring manager that answers a single question: here’s specifically how I’d make a difference in this role in the first 90 days.

Here’s what goes in it:

What you’ve learned about the company, the team, and the challenge they’re solving for
Three to five concrete actions you’d take across your first 30/60/90 days
How you’d measure whether it’s actually working

And here’s where everything you’ve already built pays off:

AI assembles the brief fast, using the company intel, the JD analysis, and the research you did in the earlier steps. The inputs are already sitting right there
It pressure-tests your assumptions; does this actually address what they care about, or what you assume they care about?
It tightens the format so the thing reads sharp and doesn’t overstay its welcome

This isn’t a cover letter. It’s a sample of how you think. That’s the difference between the SEs who get offers and the SEs who just get compliments.

Pulling it All Together

The job hunt isn’t a lottery. It’s a pipeline. And like any pipeline, the operators who run it with the most precision and the clearest signal are the ones who win. AI doesn’t replace the work, it compresses the timeline and raises the floor on everything you produce.

The SEs who come out ahead in this market are the ones who treat the job search like a deal; research the account, qualify the opportunity, build the business case, and close with evidence. You already know how to do all of that. Now you’ve got the tools to do it faster.

Happy hunting.