Take-Home Assignments for Account Executive Candidates

An AE's core responsibilities (managing accounts, prospecting, building relationships, communicating and negotiating) appear in a well-designed take-home in a way a behavioral interview cannot capture. Asking a candidate to describe how they'd handle a stalled deal gets you a story. Asking them to build a territory plan and defend it gets you a decision.

None of this makes the take-home a stand-in for live evaluation. Glassdoor's reporting on AE hiring shows candidates typically moving through several interview rounds, including a live role-play built specifically to catch people who can talk about selling but can't do it in the room. The take-home sits alongside that round, not in place of it. According to Glassdoor, AE candidates report facing an average of three to four interview rounds as part of that broader process.

Where the format breaks down is scope and fairness. Most companies ask for too much, and the candidates who drop out first are often the strong ones with other offers on the table. Worse, the burden isn't distributed evenly: InHerSight's analysis found that marginalized candidates get hit hardest, since finishing a take-home depends on things like a reliable computer, fast internet, and paid software, none of which are guaranteed. CoderPad's State of Tech Hiring 2025 found that most companies now use take-home tests, and a good chunk of them already pair the assignment with a live review, a hybrid that fits sales hiring especially well. The rest of this piece is about getting both halves right.

AE Work and What an Assignment Should Therefore Test

Good assignment design starts with an honest account of what the job demands. Every choice about format, scope, and scoring should trace back to that account.

Strip an AE role down to its parts: account management, prospecting, relationship-building across multiple stakeholders, clear communication of value, objection handling, and moving deals through a defined cycle. But the shape of that work changes a lot depending on segment. An enterprise AE at a company like Cloudflare is doing something almost unrecognizable by comparison: managing multi-million-dollar platform deals, building trust with CIOs and CISOs over months. An assignment built for one of these roles will miss the point entirely if applied to the other. A territory AE at a company like Square, by contrast, spends most of the week in the field, driving 50–60 targeted business visits weekly.

The formats that actually track this work are well known at this point. A mock pitch or executive presentation gives the candidate a customer scenario ahead of time and asks for a deck, usually a personal pitch plus a territory or segment strategy, presented live to a panel. It tests storytelling, presence under scrutiny, and how someone handles a hard question on the spot. A territory plan asks the candidate to pick target accounts and explain the prioritization logic behind them, testing strategic judgment rather than raw effort. Prospect research and discovery prep has candidates dig into a company's products, market, and likely stakeholders, which reveals initiative and business instinct more than anything else. A case study, written or presented, puts the candidate in front of a defined customer problem and watches how they reason through it.

What ties these formats together matters most: each produces something concrete enough to argue about afterward. The output isn't the point. The conversation it sets up is. In Salesforce's final-round panel, one format has candidates prepare a mock pitch or executive presentation from a customer scenario given in advance, building a deck that covers a personal pitch plus territory or segment strategy and presenting it to a panel to evaluate storytelling, executive presence, and question handling, per Cleverprep's documentation of the Salesforce AE interview process.

Scoping an assignment without driving away the candidates you want

Scope is the single variable most likely to decide whether a take-home produces real signal or just burns through your pipeline. Asking for too much drives away the strongest candidates first, since those with other offers have less patience for unpaid work.

The Holloway Guide to Technical Recruiting and Hiring puts a number on this, defining a properly scoped take-home as asynchronous, limited to somewhere between one and four hours, and built around a real product or business problem. Crossing that line turns the exercise into free labor rather than an assessment. Drop-off at this stage is not random attrition, since the first candidates to decline a long unpaid exercise are the ones holding competing offers, because they can afford to. That distinction matters more in a market where good AEs are in short supply. Apollo.io's 2026 data points to real competition for high-performing sales talent, and Mondo's analysis of common hiring mistakes is blunt about the cost: a bloated assignment is a candidate-experience problem that quietly loses you people you actually wanted.

The fix isn't complicated. State the expected time investment right in the prompt, don't make candidates guess. Use a fictional or lightly disguised scenario instead of handing someone your real accounts to work on for free, which sidesteps spec work and disputes over who owns the ideas that come out of it. Give candidates everything they need in the brief itself: product details, buyer persona, market context, so the exercise doesn't quietly favor whoever already knows the company. And keep the deliverable to something that can actually be judged: a ten-slide deck tells you plenty; a forty-slide deck usually just tells you the candidate didn't want to say no.

What written deliverables can tell you after AI use

Every written submission that comes in now should be treated as AI-assisted by default. What matters is whether they actually understand what's on the page and can defend it under questioning.

AI has worked its way into nearly every stage of AE prep: pulling together research summaries, drafting the pitch deck itself, sketching a territory plan, even coaching someone into sounding smoother on a call before it happens. Treating a submitted document as proof of unassisted skill stopped being realistic a while back. Recruiters haven't caught up. A take-home assignment designed to take 3 hours now takes 8 minutes for a candidate using readily available AI tools. The Interview Guys' analysis found that most hiring professionals admit candidates are now better at faking competence with AI than recruiters are at catching it.

Sales roles get a partial pass here, though not a full one. In Fabric's broader interview dataset, AI-assisted cheating occurred in sales roles at a fraction of the rate seen in technical hiring, since judgment, relational read, and personality don't automate the way code does. Meta's move in October 2025, rolling out AI-enabled interviews where candidates work inside CoderPad with access to an AI assistant and a choice of models, points to where the industry is heading more broadly: AI use as something evaluated openly, not something hidden and punished. That October 2025 rollout took place in a three-panel CoderPad environment with a model switcher offering options such as GPT, Claude, Gemini, and Llama.

For AE take-homes specifically, the implication is straightforward. Treat the written deliverable as a launching point for a conversation. Within a few minutes of live questioning, it becomes obvious whether a candidate actually built the thing in front of them or just generated it. Per Fabric's data from evaluating a large pool of candidates, AI-assisted cheating adoption more than doubled between June 2025 and December 2025, with the trend accelerating.

The live defense session: why it's the most important part of the process

If the written piece sets the table, the live defense is where the meal actually gets served. A structured conversation where the candidate walks through their own submission, explains the reasoning, and takes follow-up questions is what makes a take-home worth anything as a hiring signal for AE roles.

The Holloway Guide treats this as inseparable from the assignment itself: the asynchronous task followed by a real conversation in which the candidate justifies decisions and responds to pushback, the two halves together forming the actual assessment. The Holloway Guide frames follow-ups as an important part of the take-home evaluation, describing take-homes as the first step of a larger conversation. For AE hiring, that defense forms a core part of the assessment itself. It's arguably the closer match to the job than the deck ever was, since handling objections, thinking out loud under pressure, and adjusting to a skeptical stakeholder in real time are what the job asks for daily.

Salesforce's process shows this in practice. CoderPad's State of Tech Hiring 2025 shows this hybrid model, take-home paired with live review, picking up adoption year over year. Cleverprep's updated Salesforce AE guide describes a final-round deck of roughly ten slides covering a personal pitch plus a territory or segment strategy, presented to a panel playing C-level stakeholders.

The defense also does something the written piece alone can't: it partially resolves the AI problem. A candidate who used AI to produce a polished deck but can't explain why they made a given call gets caught out fast. A candidate who submitted something rougher but argues for it with clear, grounded reasoning gets full credit for the thinking, regardless of how the slides look.

Running the defense well isn't complicated, but it does take discipline. Start by letting the candidate walk through their own work in their own words, don't open with corrections. Follow with pointed questions on specific choices: why this segment over another, what changes if the deal stalls at this stage. Pull in objection scenarios from real deals, since how someone handles a live pushback is about as close as an interview gets to watching them actually sell. And keep the same panel across candidates, so the scores mean the same thing from one interview to the next. The Salesforce AE process illustrates this: candidates present their deck to a panel playing C-level stakeholders and are evaluated on executive presence, storytelling, and handling tough questions, making the assignment and the defense a unified exercise.

Criteria that matter when evaluating what candidates produce, and ones that don't

Evaluating these submissions well comes down to judging thinking, not finish. The most common mistake a panel makes is rewarding a well-produced deck over sound sales reasoning, and it's an easy mistake to make without noticing.

Salesforce's own evaluation criteria are a useful anchor here: executive presence, storytelling, and the ability to handle a tough question under pressure. None of that is about how the deck looks. All of it is about whether the candidate can move a conversation forward.

A few things are worth weighting heavily. Does the territory plan or pitch make an argument you could actually push back on, or is it just a list of generic tactics dressed up as strategy? Does the candidate show real understanding of the customer's situation, or do they lead with product features because that's easier to prepare? How do they respond when a panelist pushes back in the live defense, do they fold, dodge, or actually engage? In a discovery scenario, are they asking the right questions before jumping to a pitch, or rushing past the parts that matter? Salesforce's role-play format explicitly scores active listening alongside questioning technique and objection handling, and that's worth borrowing regardless of which company is running the process.

A few things are worth discounting almost completely. Visual polish on a deck says more about design skill, or AI access, than it does about sales judgment. Sheer volume of research is easy to fake and hard to tell apart from real insight without a live conversation to test it. And familiarity with your specific product, if a candidate happens to know it from a prior job, is an advantage that has nothing to do with how good they actually are at selling.

Using a shared scoring rubric across evaluators isn't about turning the decision into a formula. It's about cutting down the variance that comes from one panelist caring about polish and another caring about substance, without either of them realizing they're scoring different things. And the process shouldn't end at the decision. Per practitioner accounts, closing the feedback loop matters because candidates who receive no feedback after a substantial take-home effort leave with a negative impression of the company, which in a competitive hiring market for AEs carries real consequences for employer brand and referral pipelines.