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BCG is racing to hire forward deployed engineers – and the application window closes September 17.
This year's pay range for campus hires is $110,000 to $190,000, up from $110,000 to $160,000 last year. Same job, new title, $30,000 more at the top of the range.
Big Tech has cut entry-level hiring by more than half since 2019, opening a window for BCG to hire AI talent it usually couldn't afford. That window won't stay open forever.
But BCG isn't the only firm racing through it. McKinsey and Deloitte are already building similar teams.
Applications for both the AI engineer and AI scientist roles close September 17. If BCG's on your list, get moving.
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Deloitte, PwC, IBM, and 4,500 other companies use Adobe Experience Cloud products.
And they can't find enough people who know how to implement them.
Nick Hilton, Tyler Tu, and Brian Au from Adobe's Customer Experience Certifications team named the Adobe jobs they're struggling to fill: MarTech analysts, implementation consultants, solution architects.
None of them require a technical degree – what they require is proof you can use the tools.
That's what Adobe is putting in front of graduate students this fall in the Case Competition World Cup Graduate Track.
The 50 teams selected get a sandbox Customer Journey Analytics environment and a real business problem to solve inside it, not documentation to read about. Plus a free Adobe certification voucher.
Free to enter. Applications close September 13.
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Langston got callbacks from McKinsey and BCG. His first instinct: 10 hours a day of studying for three weeks straight, a fast route to burnout.
He'd applied to MBB once before and gotten nothing. But this time, two interviews landed in his inbox.
Katie walked him off the cramming ledge and built a plan around the time he actually had. Three weeks is enough – if you spend it right.
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Paul Edwards has led more than 1,000 private equity deals. AI took the grunt work, and now Stax consultants are getting promoted faster.
He leads the PE practice at Grant Thornton Stax. Inside the firm, that's 3 to 4 more projects a year for every consultant.
But the one thing AI still can't do, he says, is teach curiosity. You either bring it or you don't.
That's the exact bar Stax is judging this fall in the Case Competition World Cup Undergraduate Track – free to enter, teams of 4 to 5.
So if curiosity is what gets you hired, this is where you prove it. Applications close September 13.
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Most consulting interviews let you drive the case. McKinsey doesn't.
McKinsey is one of the only firms that runs interviewer-led cases – the interviewer leads the case, not you.
So candidates who prep the way BCG or Bain expects walk in ready for the wrong format.
And the case is only half your score – the PEI (Personal Experience Interview) is the other half.
Ex-McKinsey coach Mark Di Giorgio breaks down why the interviewer-led format catches strong candidates off guard, how to build your PEI story bank, plus the 3-week prep plan when you don't have a lot of time left.
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Most candidates prep for the McKinsey PEI like a regular behavioral interview.
McKinsey built it to do more than that. One story, and up to 25 follow-up questions testing whether what you said the first time still holds.
That's why memorized answers fall apart under the PEI. Scripted stories crack under repeated follow-ups. The ones that hold up are built to survive being asked the same thing five different ways.
In this episode, Namaan breaks down the four traits McKinsey scores in the PEI and how to build stories that survive the follow-ups.
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Every firm on our new 2027 Top Enterprise AI Consulting Firms ranking wants to hire the same person right now. And none of them can find them.
Namaan calls it the unicorn hire: technical enough to deploy AI, business-minded enough to define the problem, and clear enough to explain it to a non-technical client.
That's the same skill behind telling deployment from transformation, the mistake costing firms deals right now.
The people who can spot that difference are the ones every firm wants, and there aren't enough of them to go around. We cover:
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Last year, 500 students on 100 teams competed in the Case Competition World Cup. Before they saw the case, coach Divya – 8 years at McKinsey – taught them the first move that separates winning teams from the rest.
It's the day 1 answer: a hypothesis you lock in before you have the data, even though it feels premature. But skip it, and teams start boiling the ocean – expanding the question until there's no path left to a real recommendation.
This fall, the competition returns with two tracks – undergraduate, presented by Grant Thornton Stax, and graduate, presented by Adobe – co-hosted with Case Questions and Marc Cosentino, author of Case in Point.
Any current student can apply – completely free. Application deadline: September 13, 2026.
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A private equity firm bought a paint company. Turned out their sales reps were handing out 50% discounts to any contractor who asked nicely.
That's the kind of blind spot 3 PE leaders talk through in this episode – what actually happens once a private equity deal gets underway.
Carl Evander (OC&C), Sean McDevitt (Arthur D. Little), and Dave Clement (Simon-Kucher) break down how a deal actually gets picked, checked out, and sold for a profit.
You'll learn:
Full speaker bios and firm profiles here.
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If your case framework doesn't pass the toothbrush test, it's too generic for McKinsey, Bain, and BCG.
Ex-Bain coach Abi Chen walks through the toothbrush test, the 3 mistakes that cost most candidates their offer, and the 4-step process to build strong frameworks.
Finally, she walks through two full framework examples – an M&A case and a pharma product launch.
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