If you're reading this, you're already somewhere inside our process or thinking of applying. First, thank you for your trust.

This piece is for you. It's our attempt to be transparent about what the job-fit interview actually is, what we're calibrating, and the patterns that, across every role we hire for, from engineering to marketing to operations, separate the conversations that move forward from the ones that don't.

The goal isn't to coach you toward "the right answer." There isn't one. The goal is to remove the parts of interviewing that feel like a black box, so you can show up as yourself and we can both make a clear-eyed decision.

What the job-fit interview is

A 60-minute conversation with the hiring manager and often a team member usually from the same function. No live exercise, no surprise test. We'll talk about your background, how you work, the topics most relevant to the role, and you'll have time to ask us anything.

To give you the wider picture, here's how our full process is shaped. The faces vary by role, but the structure stays the same:

So the job-fit interview is the second step, where we go from "your profile looks like a possible fit" to actually understanding how you think and work.

What we're actually calibrating

The specifics shift by role — a Growth Marketer and a Staff Software Engineer will obviously talk about different things. But underneath, we're looking at the same handful of signals every time.

Ownership and scope. What did you personally drive, end-to-end? Not what your team did, not what the company did — what you owned. We're calibrating the size of the spaces you've been trusted with.

Depth, not surface. We tend to follow up. If something sounds like a playbook, we'll ask for the version with names, numbers, and trade-offs. The strongest answers get more interesting the further we dig, not less.

Honesty about what you don't know. PhantomBuster is a small, fast company. Pretending to know something almost always costs more than admitting you don't. Candidates who say "I haven't done that, but here's how I'd approach it" consistently land better than candidates who improvise.

A real relationship with AI. We're an AI-first company. We use Claude, Cursor, Copilot, and similar tools every day across engineering, marketing, ops, and design. We're not testing whether you can list tools — we're listening for whether AI has actually changed how you work, what you've built or automated with it, and where you stop trusting it. A specific, modest example with a real outcome beats a long list of tools every time.

Solution orientation. "Come with a solution" is one of our values. We notice when a candidate frames problems as things to solve rather than things to escalate, and when they bring options — not just observations.

A bias toward data. You don't need to be an analyst, but if you can back a decision with a number — a metric you moved, a cost you reduced, an experiment you ran — it lands. "Find numbers, and you will be able to justify" — one of our recent candidates put it well.

Comfort in ambiguity. Our environment is complex. Processes get built as we go. If your strongest examples come from environments with mature playbooks, that's fine — but be ready to talk about how you'd operate when the playbook doesn't exist yet.

Communication. Synthesize, then go deep. The candidates who do well tend to lead with the answer, then unpack it. Long, meandering answers are the most common reason a strong CV doesn't translate in the room.

The patterns we see most often go wrong

We thought it would be more useful to be specific than diplomatic, so here are the things that come up in our debriefs, in roughly the order of frequency.

"We" instead of "I." When every answer is in the plural, we lose track of what you did. It's the single most common note in our reviews across every department. If you led something, say so. If a teammate led it, name them and tell us your part.

Buzzwords without behavior. "Cross-functional," "data-driven," "growth mindset," "ownership" — these words appear in every CV. We're listening for the example underneath. Stated values don't move us. Behavioural signals do.

Surface answers under pressure. It's normal to have areas you've touched but don't deeply own. The trap is reaching for confident, generic phrasing when probed. Honest is more compelling than polished.

Missing the "why." Candidates who can describe what they did but not why they made the call — what they considered, what they ruled out, what they'd do differently — read more junior than their CV suggests, regardless of years.

Treating AI as a checkbox. "I use ChatGPT every day" doesn't tell us anything. What did you ask it to do? What did you ship? What did it get wrong? What stopped you from trusting it on a particular task?

Distance from the work. Candidates who managed teams and answer everything from a managerial altitude — without being able to drop down into the specifics of the work — struggle in our context. We hire people who lead and stay close to the craft.

Blaming the environment. When a difficult past situation gets framed as "the team didn't communicate well" or "the process was broken", we listen for what you did about it. Diagnosing problems is table stakes; what we're calibrating is what you did next.

How to prepare, regardless of role

You don't need to study. You need to be specific.

Pick three or four pieces of work you're proud of and make sure you can talk about each of them concretely: the situation, the decisions you personally made, the trade-offs, the outcome, what you'd do differently. Be ready in the first person.

Have one or two real AI examples ready. Not "I use it for everything" — a specific thing you built, automated, or learned to stop trusting.

Know the parts of your own profile that are weaker than the role asks for, and have a direct way to talk about them. We respect candidates who name their gaps before we have to find them.

Bring questions. The last ten or so minutes are yours, and we read a lot from what you ask.

What happens after

We debrief internally within a few days and come back to you with a clear yes or no, regardless of the outcome. If we move forward, your TA contact will walk you through the use-case interview and cultural-fit interview. If we don't, we'll tell you why — we'd rather give you something useful than a polite non-answer.

Whatever happens, the time you've put into this matters to us. Good luck, and we'll see you in the conversation.