Most founders ask this question as a seniority question. Do we need an account executive, a Head of Sales, or a VP Sales? Framed that way, the answer is almost always "the most senior person we can afford", because that feels like the safest version of the decision.

It is the most expensive version.

The right question is not how senior. It is which phase the company is actually in, because each phase produces the raw material the next one needs. Hire for a phase you have not reached, and your new leader spends their first year finishing the previous phase at next phase prices.

There are three phases. I call them BUILD, SYSTEMISE and SCALE. Mark Roberge, who took HubSpot from zero to 100 million dollars in revenue and now teaches at Harvard Business School, calls them Product-Market Fit, Go-to-Market Fit, and Growth and Moat. We arrived at them separately and they are the same map. This article is the map, with the numbers that tell you where you are standing on it.

The short answer

If no one except a founder has closed deals repeatedly, you are in BUILD, and you need a senior seller who also writes things down. Not a leader.

If one or two people can close but nothing is written down and nobody knows your customer acquisition cost payback, you are in SYSTEMISE, and you need a hands-on Head of Sales who still carries a number.

If two or more non-founder sellers hit quota consistently and your unit economics hold, you are in SCALE, and now a VP Sales is the right hire. Christoph Janz of Point Nine Capital puts that moment at two to three million in ARR.

Everything below is how to tell the difference, and what it costs when you get it wrong.

Why does the first sales leader hire fail so often?

Jason Lemkin of SaaStr first presented the figure at the Sales Hacker Conference in 2013 and has repeated it since: roughly 70% of first VP Sales hires in SaaS do not reach twelve months.

That number has not improved in over a decade. Roberge's own framing is blunter still. Writing about Series A companies, he observes that once founders believe they have product-market fit, they raise a round, hire ten salespeople and go for growth, and then, in his words, "strike out" 80% of the time. Only about one in five Series A funded businesses succeeds.

Two more numbers set the stakes.

The Bridge Group's SaaS AE research puts average ramp for a single account executive at 5.7 months, up from 4.3 months in 2020, and longer again as contract values rise. That is one seller with no team to build. A leader who has to recruit and ramp a team takes longer, which is an inference from that benchmark rather than a published figure, and I mark it as one.

SHRM puts the cost of an executive mis-hire at roughly 200% of annual salary. On a 180,000 euro package that is about 360,000 euros. Build it from the bottom up instead and you reach a floor near 250,000: eleven months of salary with employer costs, a search fee, and a notice period. Then you start again, a year later, with less runway.

So the pattern is a hire who needs six to nine months to become productive, in a role with a 70% chance of ending before month twelve, costing a quarter to a third of a million euros when it does.

The way out is not better interviewing. It is hiring the right phase.

What is the Science of Scaling, and why does it matter here?

Roberge opened a 2019 SaaStr talk by asking the room to choose between two companies: one growing revenue fast with mediocre retention, one growing slower with excellent retention. The room almost unanimously picked the healthy one. He told them he did not believe them.

His reasoning is hard to argue with. The first metric founders mention is revenue. The first question investors ask is revenue growth. The first slide in the board deck is revenue. Retention is nobody's opening line. His conclusion: "Startup failure is unnecessarily high due to a premature obsession with top line revenue growth."

He is careful about what he is arguing, and so am I. In his words: "I'm not saying grow slower. I'm saying grow healthier."

After studying the go-to-market of hundreds of startups, he lists five recurring causes of missed revenue targets at Series A. Three of them are hiring decisions:

1.Premature focus on top line revenue instead of consistent customer value creation.

2.A definition of product-market fit that is not data-driven.

3.Misunderstanding which go-to-market capabilities must exist before you hire salespeople.

4.Front-loading sales hires at the start of the year instead of pacing them through it.

5.Confusing temporary competitive advantage with sustainable advantage.

The third and fourth are the subject of the rest of this article, and they are the two I am asked about most.

Phase one, BUILD. Who do you hire before you have a repeatable motion?

The situation: a founder closes most deals. There is one commercial hire or none. Revenue is real and customers renew, but every deal was its own project. Usually somewhere between 300,000 and 1.5 million in ARR.

The bottleneck: nobody who is not a founder has proven they can close this product. There is no transferable motion. There is a founder who is good at selling, which is a different thing entirely.

That distinction is the whole phase. A founder sells with advantages nobody else has. They can change the roadmap in the room. They carry authority a seller cannot borrow. They know the product better than a new hire will in six months. None of it transfers.

Roberge's description of the right hire here is the best one available: half product manager, half account executive. Someone who can handle objections and talk about money like a seller, and who can also find patterns across customer conversations and carry them back to engineering. He is explicit that getting this hire wrong is, in his phrase, a top ten reason for Series A business failure, and he names four attributes to select on:

1.Comfortable in ambiguous, rapidly changing environments. A self starter.

2.Motivated more by innovating than by making money. He advises avoiding the seller who is primarily money-motivated at this stage.

3.Deep discovery skills, and the ability to spot patterns in what customers say.

4.Strong collaboration, mostly with product and engineering.

The second attribute is counterintuitive enough to be worth sitting with. At every later stage, money motivation is a feature. Here it is a risk, because there is not yet a reliable way to earn it, and the person who needs to will either leave or push for the wrong deals.

Roberge names two specific traps at this stage, and I see both regularly.

1.The first is hiring a sales leader too early. He even quotes the investor pushing for it: go find someone who has scaled a business to a hundred million dollars. His assessment is that the hire is a complete misalignment with the tasks the stage actually requires.

2.The second trap is subtler and catches careful founders. You hire the account executive from the large incumbent in your space, reasoning that they already sell successfully to your buyer. The flaw is in how they became successful. When they joined that incumbent they received weeks of training, a finished playbook, and an experienced manager behind them. Roberge calls the result a process execution salesperson, and notes they will not succeed in an environment where none of that scaffolding exists. In his earlier book, The Sales Acceleration Formula, he makes the same argument against hiring the senior vice president or the star seller from a leading company as your first hire, preferring an entrepreneurial profile.

Say that plainly, because it cuts against instinct: at this stage, the CV that looks most reassuring is often the one that predicts failure.

Peter Kazanjy, who wrote Founding Sales and is generally credited with naming founder-led sales, reaches the same conclusion from a different direction. Coming out of founder-led selling you have neither the volume nor a dialled-in process to split roles, so you need a generalist-builder who runs the whole cycle and builds the process while doing it. A builder, not a VP.

Why not a VP Sales? Here is the paradox that catches most founders. You hire a VP to build the playbook. But building playbooks is not what VPs do. VPs hire, forecast and manage managers. That is the job and that is what they will do from week one. So they hire, onto a motion nobody has validated. Twelve months later you have a larger team producing roughly the same revenue, much higher burn, and no more clarity than when you started.

On compensation, Roberge goes further than most founders expect: consider 80% base and 20% variable at this stage, or no commission plan at all, with base and equity like everyone else on the team. His reasoning is that a conventional new revenue commission plan actively pulls this hire away from what you need, which is learning and customer value. And whatever variable exists should pay when the customer succeeds, not when the contract is signed.

You leave BUILD when a non-founder has sourced and closed deals repeatedly, and their win rate sits in the founder's range. That is the evidence that the motion transfers. Not a feeling that things are going well.

Phase two, SYSTEMISE. Who turns one person's success into a method?

The situation: one to three sellers, some of them closing. Roughly one to three million in ARR. Things work inconsistently, and the founder is still the escalation point on anything hard.

The bottleneck: what works lives in people's heads. New hires ramp slowly because there is nothing to hand them. Results depend on who happens to be on the deal. You have a motion but not a method, and you cannot yet prove the motion pays for itself.

Roberge's hire here is the process builder: a process innovator rather than a product innovator, someone who likes forming a hypothesis about how the sale should run, testing it against real buyer conversations, and iterating. Hands-on, still carrying a number, managing two to five people.

This is also where he identifies a mistake that nearly every founder makes, and he calls it a top ten cause of Series A failure. The mistake is to build a deck describing your product's features and benefits and train sellers to deliver it to as many people as possible. He labels this inside-out, because it starts with the product.

The evidence against it comes from Gong's call data, which he cites: top performing sellers listen for most of the first call, and bottom performers do most of the talking. His point is not that the finding is new. It is that our training programmes contradict it. Count how much of your sales onboarding teaches the product versus the buyer. If it is mostly product, you are wiring new sellers to behave like bottom performers.

The alternative is outside-in, and the playbook has five parts in a deliberate order: the buyer journey, a prospecting guide, a discovery guide, a presentation guide, and a customer success guide. The buyer journey comes first and everything else supports it.

Two details from that playbook are worth stealing on their own.

On prospecting persistence, the data Roberge cites from InsideSales.com puts one attempt at a 40% chance of a first meeting and six or more attempts at 90%, while most sellers make one or two. And repeating the same message in the same channel six times is not persistence. As he frames it, if you had one minute a day with your buyer you would not say the same thing every day.

On presentations, world class sellers never give the same demo twice, and almost nobody can do that in their first months. So rather than asking people to tailor everything, build three to five presentation routes and let discovery decide which one to run.

There is one prerequisite at this stage that almost nobody checks, and it deserves to be on a wall. In Roberge's words: hiring salespeople without a scalable demand generation channel in place is another top ten reason for Series A startup failure. You cannot leave this phase on referrals alone. And when you judge a channel, judge it on the lifetime value of the customers it brings rather than on lead conversion rate. A channel that converts easily into customers who churn is worse than a hard channel that brings customers who stay.

On compensation, his recommendation from this stage onward is genuinely different from standard practice: pay half the commission when the customer buys and the other half when the customer actually succeeds with the product. The logic is that a pure new revenue plan gives a seller no reason to chase the right segment or set honest expectations, and those two behaviours are where retention is won or lost.

One honest disagreement, which I would rather name than smooth over. At a super early stage I recommend a hands-on leader who still carries a number for a short amount of time. Roberge warns against the player-coach model, noting that industry data and observation suggest it fails most of the time: it is hard to switch between your own quota and developing other people, one side suffers, and it is almost always the team side, because a player-coach correctly senses they will not be fired while their own number is fine.

Both things are true, and the resolution is in the context. His warning is written about promoting a rep into management inside an already scaled organisation, where a non-selling manager is affordable and a player-coach has somewhere to hide. At two to five sellers you usually have no such option: the company cannot fund a manager who does not sell, and a playbook has no credibility unless the person writing it is still closing with it.

So treat his finding as a design instruction rather than a veto. If you hire a player-coach, build against the exact failure he identified. Make the team's result the dominant part of their variable pay, not their personal number. Write down a declining individual quota across the first year, so the shift from selling to building is scheduled rather than hoped for. And judge them quarterly on whether other people's numbers moved.

You leave SYSTEMISE when two sellers have hit quota for two consecutive quarters, a new hire ramps in a time you can predict, and your unit economics stand up. One seller at quota might be a good hire. Two is a system.

Phase three, SCALE. When is a VP of Sales actually the right hire?

The situation: the motion holds without the founder. Two or more sellers are at quota consistently. Unit economics stand up.

The bottleneck is now capacity and organisation design. You cannot hire fast enough, and once you do, nobody is managing them properly.

This is where a VP Sales becomes the right hire: someone who has hired and managed managers, owns a forecast they can defend, and has done the specific revenue step you are taking next. Underneath them you can now hire what Roberge calls process executors, the more conventional seller profile that works well when there is a playbook, training and a manager to plug into. The exact profile that would have failed in BUILD is now the right one. That is the whole argument for thinking in phases rather than in seniority.

On timing, the clearest European guidance comes from Christoph Janz of Point Nine Capital, who backed Zendesk, Typeform and Algolia from Berlin. By two to three million in ARR, he argues, you need a VP of Sales who has done it before, and most companies without sales management experience in the founding team should start looking at around 1.5 to 2 million so that by two to three million they have someone who can take them to ten million and beyond.

The warning he attaches is the part worth reading twice: if you try to hire your VP of Sales too early, say at 500,000 in ARR, you will almost certainly not get a great one.

That is not the usual claim. It is not that the hire fails. It is that the strong candidates decline, so you are selecting from a weaker field before the process even starts. If you are at 800,000 in ARR and your search has been open for five months, that sentence probably explains why.

From the performance side, a16z sets a complementary bar: roughly 80% of reps hitting a quota set at three times their on-target earnings before you layer leadership on top.

How fast should you hire salespeople?

This is the most actionable idea in Roberge's work and the one most often ignored.

The standard behaviour is to decide it is time, then hire a batch of sellers at once, usually in January or straight after a funding round. His observation after years of looking inside these companies: pretty much every company he examined took this approach at some point, and he never saw it work. The outcome he describes is specific. They hired ten salespeople in January and two were left at the end of the year.

The reason is not mysterious once stated. Hiring ten sellers next month requires interviewing capability, onboarding capability, enough pipeline to feed them, and management capacity to hold them. All of it is needed at once and none of it is built. So you rush the screening and make poor decisions. And underneath that, you have never done this before, so your hiring criteria are unproven. In his words, you have just multiplied an already expensive mistake by ten.

His alternative: not ten salespeople next month and then see what happens, but two salespeople a month for the next six months. If things break, stop and fix them. If they do not, go faster.

And here is what to say to a board pushing for speed. Two a month for six months while watching your leading indicators. If they hold, four a month for six months. If they still hold, eight. Same ambition, with a brake on it.

How many sales reps should report to one manager?

This is where a VP earns their package, and it is also the arithmetic most hiring plans skip.

The Bridge Group, whose benchmark draws on leaders at more than 170 SaaS companies, puts the median at seven account executives reporting to a single first-line leader, a figure they report as consistent since 2015. The span narrows as deal complexity rises and widens as revenue grows.

So twelve account executives next year is not twelve hires. It is twelve sellers plus roughly two managers, and somebody has to recruit, ramp and hold those managers. David Skok's capacity model at forEntrepreneurs is the cleanest statement of the underlying maths: sales capacity equals the number of productive reps multiplied by average productivity per rep. A VP who cannot write that equation for your business in a first conversation is not a VP, whatever the title says.

Roberge adds the warning that follows. If you do not deliberately build a management bench, available sales manager capacity quickly becomes the bottleneck to scale. Growth stops being limited by demand and starts being limited by the number of people qualified to manage sellers.

Can you promote your best salesperson to sales manager?

Usually not, and this is one of the most expensive habits in SaaS.

Roberge's position, backed by the industry data he cites, is that the best sellers do not make the best managers, most likely because selling is an independent task and managing is a people development task. But the weakest sellers do not make good managers either. What actually correlates is having mastered every stage of the sales process adequately rather than brilliantly, because a manager's job is to coach someone through a weakness at any stage.

His development path is a good answer to a question most founders improvise. First, an advanced sales certification proving competence at each stage, plus two quarters of hitting goal. Second, a weekly leadership curriculum, about an hour a week, reading on conflict, feedback and team morale and role-playing the application, while still carrying quota. This step is as much about letting the candidate discover whether they want the job. Third, they recruit, interview, hire, onboard and coach the next seller themselves, with the current leader interviewing too but asking for the candidate's assessment first. Three to four months. Fourth, promotion, with the individual quota removed and a small team to start, ideally newer sellers with whom credibility is easier to build.

How do you measure which phase you are in?

Opinions about readiness are cheap. These are the measurements.

Measuring BUILD: the leading indicator of retention

Ask ten founders what product-market fit means and you get ten answers. Roberge puts the question to his Harvard Business School students every year for that reason. The two common answers both have problems. Marc Andreessen's definition, being in a good market with a product that can satisfy that market, leaves the words good and satisfy to interpretation. Sean Ellis's survey test, at least 40% of customers saying they would be very disappointed to lose the product, is a survey, and surveys flatter.

Roberge's answer is to let the customer's wallet do the talking. Retention is the most honest signal of fit, because renewing is a decision backed by money, and the sector treats annual customer retention above 90% as world class.

The problem is that retention is a lagging indicator. You will not know this year's true retention until next year, and early stage companies do not have a spare year. So the usable version is a leading indicator, written in one fixed form:

P percent of customers achieve event E within time T.

Three documented examples. Slack used 70% of customers sending 2,000 or more team messages in the first 30 days. Dropbox used 85% of customers uploading one file in one folder on one device within one hour. HubSpot used 80% of customers adopting five of the 25 features in the platform within 60 days.

Read those again, because the useful part is what they leave out. None of them mentions revenue. None mentions a signed contract. Each one is a behaviour that happens after the sale, that can be measured automatically, and that predicts whether the customer is still there next year.

On setting the variables: Roberge sees P between 60% and 80% in practice, lower for small business customers and higher for large enterprises. T is usually one to three months for software. The event itself has to be objective and binary, measurable automatically, tied to real value rather than to a signature, and aligned with what makes you different. HubSpot's positioning was all-in-one, and any single HubSpot feature would lose to a specialist tool, so their indicator was breadth of adoption. The indicator encoded the strategy.

Then you chart it by acquisition cohort: of the customers who signed in January, what share hit the indicator after one month, two, three. Then February, then March. His recommendation is that this chart is the first slide in the board deck, ahead of the profit and loss.

If you cannot state your leading indicator in that one sentence, you are in BUILD, whatever your revenue says.

Measuring SYSTEMISE: unit economics

Go-to-market fit asks whether the thing that works can keep working as it grows, and whether it pays for itself. Roberge's three tests:

Lifetime value divided by customer acquisition cost above three.

Customer acquisition cost payback period under twelve months.

Magic Number above 1.0.

In plain terms: a customer is worth at least three times what it cost to win them, you get your acquisition money back inside a year, and a euro of sales and marketing spend produced at least a euro of new annual recurring revenue.

Now the reality check, because a target is not a median. Benchmarkit's 2025 B2B SaaS Performance Metrics report puts median net revenue retention at 101%, median gross revenue retention at 88%, and median growth at 26% for 2024, and reports that CAC payback has worsened by 12.5% at the median since 2022. Their own instruction is that payback has to be read against annual contract value rather than against one universal number, because the benchmark moves with deal size.

So if your payback sits above twelve months, you are not broken. You are near the market. But near the market is not the same as ready to scale headcount aggressively, and that is the distinction this article is about. Scaling a sales team is how you multiply your unit economics, in whichever direction they already point.

Measuring SCALE: the speedometer

Once you have both of the above, you have the answer to how fast. Roberge's answer is: as fast as possible without losing product-market fit or go-to-market fit. Scale attacks both, because teaching hundreds of new people to do what ten people figured out is a harder problem than figuring it out was.

Which is fine, because you have already built the two instruments. The cohort chart and the unit economics chart become your speedometer. Set a pace, watch the dials. If they break, slow down and fix. If they hold, accelerate.

Why can you not skip a phase?

Two structural reasons, and then the one most people miss.

First, each phase manufactures the input the next one consumes. SYSTEMISE codifies a motion; it cannot codify one that does not exist. SCALE multiplies a playbook; multiply nothing and you get nothing, slightly faster.

Second, and this is the finding from Roberge's work I would most want a founder to read: most customer retention issues originate in sales and marketing.

Not in the product. Not in onboarding. Retention is determined by which customers marketing attracts and what expectations sales sets. Which means a mis-set sales motion does not merely miss quota. It fills the company with the wrong customers on the wrong promises, and that damage surfaces about four quarters later as churn, in a quarter where nobody connects it to a hiring decision made a year earlier.

That is why this is not an HR question. It is a retention question, and retention is the number your next round will be priced on.

And the principle underneath both: readiness does not average out. A company with immaculate pipeline discipline and a motion only the founder can run is not two thirds ready. It is not ready, and the clean dashboards make the gap harder to see. Two things are structural rather than operational: how dependent the motion is on the founder, and whether it is repeatable. If either is weak, no leader fixes it, because leaders multiply what already exists.

What does this mean for your compensation plan?

Compensation is where the phase logic quietly breaks even when the role is right, and Roberge identifies the root cause better than anyone I have read: the biggest mistake founders make with sales compensation design, at any stage, is delegating it to the head of sales, who simply copies the plan from their last employer.

Think about what that means in practice. The plan arrives from a company at a different stage, in a different market, with different economics, designed by the one person whose own pay it determines. And the founder signs it because it looks professional.

His counter-argument is that compensation is one of the most direct instruments a founder has for pushing strategy down to the front line. Market expansion, churn reduction, launching a new product: each can be implemented through a commission plan, or quietly contradicted by one.

The phase-appropriate shapes, in short. In BUILD, 80% base and 20% variable, or no plan at all, paying on customer success rather than on signature. In SYSTEMISE, half the commission on purchase and half when the customer actually succeeds. In SCALE, keep that split and add a published promotion path, so that "when do I get a raise" has a data-driven answer instead of an annual negotiation.

Two further points from my own work rather than from the book.

A package built for the wrong phase does not just lose you the candidate you wanted. It selects against them. Strong candidates read the structure in the first conversation and decline. The person who accepts a mispriced package is often the one without a better option, and you find that out in month nine.

And the split matters more than the headline number. A BUILD hire generating their own pipeline cannot live on a fifty-fifty split in year one, because there is no pipeline to inherit. A SCALE hire with an inherited team and inherited pipeline can. Get the split wrong and the on-target earnings are fiction for both of you.

The question that places you fastest

The usual question is what level to hire at. The better one is this: what exactly would this person do in their first ninety days?

If the honest answer is "build the team", you are in BUILD and about to hire for SCALE. If it is "write down what we know works and make two more people able to do it", you are in SYSTEMISE, and a VP would be bored and expensive. If you can hand somebody a capacity model and say "fill this", go and find a real VP.

Then write those ninety days down before you write the job advert. Three objectives with numbers against them, agreed before the start date.

This is not bureaucracy. Without it, you discover in month nine that it is not working. With it, you discover in month three, while there is still time to fix it and before the whole year is gone.

Frequently asked questions

When should a SaaS startup hire its first VP of Sales?

When the motion already works without the founder. Concretely: two or more non-founder sellers hitting quota consistently, a new hire ramping in a predictable time, and unit economics that hold. Christoph Janz of Point Nine Capital puts the window at two to three million in ARR, with the search starting around 1.5 to 2 million.

Should my first sales hire be a VP or an account executive?

An account executive, and specifically a senior one who will also document what works. Mark Roberge describes the profile as half product manager, half account executive. Peter Kazanjy calls it a builder, not a VP. The reason is that a VP's actual skill is hiring, forecasting and managing managers, none of which helps before there is a proven motion to manage.

What ARR do you need before hiring a VP of Sales?

Two to three million is the most commonly cited window for SaaS, per Christoph Janz. His warning about the other end matters more: attempt it at around 500,000 in ARR and you will almost certainly not get a great one, because the strong candidates decline rather than fail.

Why do VP of Sales hires fail so often?

Because the role is usually created before there is work for it to do. Roughly 70% of first VP Sales hires in SaaS do not reach twelve months, a figure from Jason Lemkin of SaaStr. The hire is asked to build a playbook, which is not what VPs are trained to do, so they hire a team on top of an unvalidated motion instead.

What is a good CAC payback period for SaaS?

Under twelve months is the target Roberge sets as part of go-to-market fit. The market median is materially worse: Benchmarkit's 2025 report shows CAC payback has worsened by 12.5% at the median since 2022, and instructs that it be read against annual contract value rather than against a single universal figure. Above twelve months you are near the market, not broken, but you are not yet ready to scale headcount hard.

How do I know if I have product-market fit?

Define a leading indicator of retention in one sentence: P percent of customers achieve event E within time T. Slack used 70% of customers sending 2,000 team messages in 30 days. Then track it by monthly acquisition cohort. Retention itself is the honest measure but it lags by a year, which is why the leading version is the usable one.

How fast should I hire salespeople after a funding round?

Two per month for six months, then reassess. Roberge's observation is that companies which hire ten in January typically have two left in December, because the interviewing, onboarding, pipeline and management capacity all have to appear at once. If your indicators hold after six months, go to four a month, then eight.

How many sales reps should report to one sales manager?

The Bridge Group's benchmark, drawn from more than 170 SaaS companies, puts the median at seven account executives per first-line leader, and reports that figure as stable since 2015. The span narrows as deal complexity rises. Plan for it: twelve sellers means roughly two managers as well.

Should a Head of Sales still carry a quota?

At two to five sellers, usually yes, because the company cannot fund a manager who does not sell and a playbook has no credibility unless its author is still closing with it. But design against the known failure mode: Roberge finds the player-coach model fails most of the time because the team side gets neglected. Make the team's result the dominant part of their variable pay and schedule a declining individual quota.

Can I promote my best salesperson to sales manager?

Rarely the right move. The industry data Roberge cites is that the best sellers do not make the best managers, because selling is independent work and managing is people development. What correlates is adequate mastery of every stage of the sales process, so the manager can coach through any weakness.

Sources

Mark Roberge, The Science of Scaling: Using Data to Decide When and How Fast to Scale Revenue, Stage 2 Capital. The three stage framework, the leading indicator formula, the three hire profiles, the two first hire traps, the unit economics thresholds, the two sellers per month pace rule, the speedometer, the playbook components, the compensation splits, the management development path, and the finding that most retention issues originate in sales and marketing. Roberge was Chief Revenue Officer at HubSpot, is a senior lecturer at Harvard Business School, and is co-founder and Managing Director of Stage 2 Capital.

Mark Roberge, The Sales Acceleration Formula. The argument against hiring the senior vice president or star seller from a large incumbent as a first sales hire.

Christoph Janz, Point Nine Capital, The Angel VC, 2015. VP of Sales timing at two to three million in ARR, and the warning about hiring at around 500,000.

Jason Lemkin, SaaStr. Roughly 70% of first VP Sales hires in SaaS do not reach twelve months. Originally presented at the Sales Hacker Conference, 2013, and repeated since.

Peter Kazanjy, Founding Sales: The Early Stage Go-To-Market Handbook. The first sales hire as a generalist builder rather than a VP.

The Bridge Group, SaaS AE Metrics and Compensation Benchmark. Average account executive ramp of 5.7 months, up from 4.3 months in 2020, and a median of seven account executives per first line leader, drawn from more than 170 SaaS companies.

Benchmarkit, 2025 B2B SaaS Performance Metrics. Median net revenue retention 101%, median gross revenue retention 88%, median growth 26% for 2024, and CAC payback worsening 12.5% at the median since 2022, to be read against annual contract value.

a16z. Approximately 80% of reps hitting a quota set at three times on target earnings as a bar before scaling sales leadership.

SHRM. Executive mis-hire cost at roughly 200% of annual salary.

David Skok, forEntrepreneurs, Matrix Partners. The sales capacity model: productive reps multiplied by average productivity per rep.

Gong, on talk to listen ratios in first calls, and InsideSales.com, on prospecting attempts versus meetings booked. Both as cited in The Science of Scaling.

Marc Andreessen and Sean Ellis, for the two conventional definitions of product market fit that Roberge argues are insufficient.

Compensation ranges and package observations are from my own search work in DACH, the UK, the Netherlands, the Nordics and France, and are not published survey data. Where a figure is an inference rather than a published number, such as leader ramp time, I have said so in the text.

About the author

Bruce Kriaa is the founder of SaaSxperts, based in Dusseldorf. Twenty years in B2B and SaaS sales, from carrying a bag as an account executive to Sales Director and Head of Sales, before moving to the other side of the table. He places sales people in B2B SaaS and AI companies between Pre-Seed and Series B across DACH, the UK, the Netherlands, the Nordics and France.

What that means in practice: he can run a sales conversation on the merits and take a quota attainment apart line by line. Most of the assessment work in this article is work he does inside live searches, not theory.

Find out which phase you are in

Reading this is not the same as knowing where you sit. Founders are reliably wrong about their own company in one direction. They describe the business they are building rather than the one they have this quarter.

So I built a free self-test. Twenty questions on how your go-to-market actually behaves, scored so that your weakest dimension sets the result, not your average. Then five hard numbers: your CAC payback, the share of new revenue that closes with no founder in the room, how many of your last twenty customers matched the ICP you wrote down, your forecast accuracy after the quarter closed, and how many non-founder sellers hold quota.

The output is not the phase. You could work the phase out from this article. The output is the gap between the two halves, named dimension by dimension: what you believe about your company set against what your numbers say, plus the one constraint holding your result down and what lifting it would change.

The Series A Sales Leadership Readiness Scorecard: claude.ai/artifact/RbRsWLeqHQfbTnTHDp9MhM

Send me your result and I will send back a written read on it, not a sales call. bruce.kriaa@saasxperts.net