Designing Sales Comp When You Have 2 AEs and No HR
Three weeks before Q1, one of the founders I work with sent me a message: “Just hired two AEs. Need a sales comp plan by Monday. Help.”
He had a spreadsheet from finance with the revenue target for the year. A rough deal size assumption. A vague sense that salespeople should earn “around $100K.” What he didn’t have was a comp plan that any experienced rep would take seriously, or a clear picture of whether the numbers he was about to offer would attract the candidates he actually needed.
This pattern repeats constantly. The hiring decision comes first, usually out of urgency. The sales compensation plan gets designed in the last week before someone starts, by someone who has never built one, without testing whether the numbers survive contact with a realistic sales cycle. The rep arrives, does the math in their first week, and decides before they’ve closed anything whether they’re being set up to win or set up to fail.
The mistake isn’t starting with the wrong numbers. It’s designing the plan in the wrong direction: starting with what finance can afford and reverse engineering a structure from there. A comp plan is a communication tool before it’s a financial one. It tells your reps what you value, whether the target is credible, and whether the founder who built it understands how sales actually works. If you want to understand why first hires fail before this stage even comes up, The Founder Sales Trap covers the setup errors that undermine first hires before they start.
This post covers what comes after: the mechanics of building a comp plan when you have 2 AEs, no HR, and a quarter starting soon.
What Founders Get Wrong Before They Design Anything
The two most common mistakes at the 2-AE stage both happen before a single number goes into a spreadsheet.
The finance-first mistake. Someone runs the revenue model for the year, calculates what the company needs in new ARR, divides by two reps, and hands that number to the founder as “the quota.” The quota then drives backward to commission rate, base, and OTE.
The problem: quota set by finance reflects what the business needs, not what a rep can generate in a realistic time frame. An AE who joins in January is not closing deals in January. Most B2B SaaS sales cycles run 60 to 120 days. A rep hired January 1 will close their first deal in March at the earliest, usually April. If the annual quota assumed twelve months of productive selling, the rep will miss it before summer regardless of how hard they work. The plan looks broken when the sales cycle is the actual problem.
The complexity trap. Founders who’ve read about sales comp sometimes try to build something sophisticated: tiered commission rates, territory multipliers, deal-type adjustments, MRR retention bonuses, and SPIFs stacked on top of each other. That might make sense for a fifty-person sales org with a RevOps team running commission calculations. For 2 AEs and a founder, it creates three problems: the plan is too hard to explain in a 1:1; the payouts are impossible to verify quickly; reps who can’t calculate their own earnings will assume they’ll earn less than you intended.
The opposite mistake is a plan so simple it doesn’t drive behavior: flat commission, no ramp, no accelerator, no mechanism to reward the quarter where someone closes 140% of quota.
A good comp plan at this stage is simple enough to explain in ten minutes, specific enough to be credible, and structured enough to reward the behaviors that actually move pipeline. That starts with understanding what you’re building.
The Four Building Blocks of a Sales Compensation Plan
Every sales comp plan assembles the same four components. Getting each right independently matters. The ratios between them matter more.
Building Block 1: Base Salary
Base is the guaranteed income a rep earns regardless of performance. For closing roles like Account Executive, the market standard is a 50/50 split between base and variable. Enterprise AEs with longer cycles sometimes run 60/40. Transactional SMB roles sometimes run 40/60.
Unless your deals are under $5K ACV, where you’re essentially running a transactional motion, a 50/50 split is the right starting point.
In 2026, the median base for a mid-market AE in SaaS falls between $85K and $100K. Junior hires with one to two years of SaaS experience: $70K to $85K. Senior AEs with five or more years: $100K to $120K. Geography shifts these by 15 to 25%. San Francisco and New York run higher; Europe and Latin America run lower.
Building Block 2: Commission Rate
Commission rate is the percentage of deal value a rep earns on each closed deal. The industry standard for SaaS AEs is 8 to 12% of Annual Contract Value (ACV), with 10% as the most common single-rate structure for early-stage teams.
Higher rates (12 to 15%) make sense when your brand is unknown, your sales cycle is unusually long, or cash is your only talent lever. Lower rates (6 to 8%) make sense when base is above market or deal sizes are large enough that a lower rate still generates strong variable income.
Building Block 3: On-Target Earnings (OTE)
On-Target Earnings is the total compensation a rep earns when they hit 100% of quota. It’s not a ceiling. It’s a specific target that tells candidates what this job pays for a competent person doing their job well.
| AE Level | Median Base | Median OTE | Split |
|---|---|---|---|
| Junior AE (0-2 yrs SaaS) | $70K-$80K | $130K-$150K | 55/45 |
| Mid-Market AE (2-4 yrs) | $85K-$100K | $160K-$190K | 50/50 |
| Senior AE (5+ yrs) | $100K-$120K | $190K-$220K | 50/50 |
OTE is also a recruiting signal before it’s a comp mechanism. If your OTE for a mid-market AE is $130K when the market median is $175K, you’re not attracting candidates who have other options. The AEs who accept below-market OTE typically do so because they can’t get that offer elsewhere. That tells you something about who’s in your candidate pool.
Building Block 4: Quota
Quota is the new ARR a rep is expected to close in a period. The standard relationship between quota and OTE is a 4:1 to 6:1 ratio. An AE with $175K OTE should carry a $700K to $1.05M annual quota. An AE with $150K OTE should carry $600K to $900K.
The 4:1 to 6:1 rule assumes the rep is productive for most of the year. That assumption breaks down immediately at the early stage, which is where ramp comp comes in.
Setting Quota When You Have Limited History
Quota is where early-stage founders get into the most trouble. It needs to be ambitious enough to drive performance, credible enough that reps believe it’s achievable, and calibrated to your actual sales cycle data rather than to a financial model.
Start from your own selling data. Your history as the founder-seller is the best available prediction of what a good AE can generate. What’s your average deal size? How many qualified conversations per closed deal? How long from first call to signed contract? Pull these numbers. They’re the empirical baseline for quota, not a number from the financial model.
Apply a 65% productivity adjustment for year one. A solid AE won’t match founder-level productivity in their first twelve months. They don’t know the product like you do, don’t have your relationships, and will lose some deals to knowledge gaps and message calibration. Running 65% of your productivity against the annual target gives you a quota that’s credible.
Validate against the quota-to-OTE ratio. If the first-year quota implies a 3:1 ratio to OTE, you’ve set it too low. If it implies 8:1, you won’t attract strong candidates. Target 4:1 to 6:1.
| Scenario | Average Deal Size | Annual Quota | OTE Range | Quota/OTE |
|---|---|---|---|---|
| SMB | $15K ACV | $450K-$600K | $100K-$130K | 4-5x |
| Mid-market | $40K ACV | $750K-$900K | $150K-$175K | 4.5-5.5x |
| Upper mid-market | $75K ACV | $1.1M-$1.4M | $190K-$220K | 5.5-6x |
One benchmark worth holding on to: quota attainment rates in SaaS average around 43% across the industry (Everstage, 2026). That’s not a reason to lower quota. It’s a reminder that most comp plans are designed expecting most reps to earn below OTE most quarters. If 100% of your reps consistently hit 100% of quota, your quota is too low and you’re leaving performance potential on the table.
Ramp Compensation: Paying for the Learning Period
Ramp comp protects both the rep and the company during the window when the rep is learning your product, market, and process. Without a formal ramp structure, reps miss quota in their first months through no fault of their own and start the role already feeling behind. That’s a morale problem that compounds fast.
One rule determines ramp length: your average sales cycle multiplied by 1.5.
If your average deal takes 90 days to close, your ramp should be 135 days, roughly four and a half months. A rep who starts January 1 with a 90-day average cycle cannot close their first deal until April. If they’re on full quota in January, they will miss for the entire ramp period regardless of effort. This is not a performance problem. It’s a math problem you built into the plan.
As I covered in the onboarding framework for first sales hires, the months immediately after a rep starts are where comp design either supports or undermines the entire onboarding investment. Ramp comp is the mechanism that keeps the financial structure aligned with what’s actually possible in the early months.
| Month | Quota Level | Guaranteed Draw | Notes |
|---|---|---|---|
| 1 | 0% of annual | 50% of monthly OTE | Product and process focus. No close pressure. |
| 2 | 25% of annual | 40% of monthly OTE | First outreach begins. First meetings expected. |
| 3 | 50% of annual | 20% of monthly OTE | First demos expected. First close possible. |
| 4 | 75% of annual | No draw | Active opportunities required. |
| 5+ | 100% of annual | Full commission | Standard plan applies. |
The draw is a guaranteed advance against future commission, not a salary adjustment. A rep who closes nothing in month two but received a draw may have that draw offset against commission earned once they’re productive. Document this in the offer letter before they start, not after their first commission calculation becomes a dispute.
One clarification: if a rep closes a deal during the ramp period, they earn commission on it normally. The ramp quota determines the threshold at which they “miss.” It doesn’t cap what they can earn on deals they close early.
If the company is cash-constrained, you can reduce or eliminate the draw and simply set reduced ramp quotas. The rep earns commission on what they close; you’re setting realistic performance expectations for each month.
Accelerators, Decelerators, and SPIFs
Once a rep hits 100% of quota, accelerators increase the commission rate on every dollar above target. They’re the mechanism that makes overperformance worth pursuing. Without them, a rep at 105% earns the same rate as a rep at 95%. That’s a meaningful missed opportunity to retain the people who perform best.
For a 2-AE team, one accelerator tier and no decelerators is the right structure.
| Performance Level | Commission Rate |
|---|---|
| 0% to 100% of quota | Base rate (10%) |
| 100% to 120% of quota | 1.5x base rate (15%) |
| Above 120% of quota | 2x base rate (20%) |
This is clean, fast to calculate, and creates a real income jump for strong performers. An AE at $900K quota closing $1.08M earns $108K in commission at base rate. The same rep closing $1.2M (133% of quota) earns materially more through the accelerator structure. No spreadsheet required to understand why.
Decelerators reduce commission rates below a certain performance threshold. I don’t recommend them at this stage. They compound the demoralization of a tough quarter and create a floor below which reps have no financial reason to keep pushing. That’s not the dynamic you want when you’re still building the motion.
SPIFs (Special Performance Incentive Funds) are one-time bonuses for specific strategic behaviors: closing your first deal in a new vertical, selling a new product add-on, or hitting a monthly stretch target. They work when used selectively, one at a time, for a defined period. Two reps competing for three different bonuses simultaneously is where comp plans start feeling manipulative rather than motivating.
One hard rule: if your comp plan takes more than ten minutes to explain to a rep, it’s too complicated. The best plans at this stage fit on a single page.
The Two-AE Consistency Problem
With exactly two reps, every comp decision gets compared instantly. If Rep A earns $8,000 more than Rep B in the same quarter, Rep B will find out, and they’ll need an explanation.
This means base ranges, commission rates, OTE targets, and accelerator structures need to be identical across both reps. No side deals, no “I’ll pay you more because you joined early.” Equity can differ. Cash comp structure cannot, or you’ll create resentment that compounds month over month.
The legitimate place for differentiation is quota by territory or segment. If Rep A covers enterprise and Rep B covers SMB, their quotas should reflect the actual difference in deal size and sales cycle. An enterprise AE closing $75K deals on 120-day cycles should carry a different quota than an SMB AE closing $15K deals in 45 days. OTE can match. Quota, properly calibrated to the actual opportunity, will differ.
Two reps also give you something you don’t expect: an internal benchmark. Because both run the same plan with the same rates, performance differences are attributable to rep effectiveness or territory quality, not comp design. As I described in the founder’s 90-day sales leadership playbook, this kind of structured comparison is one of the most useful coaching signals you have when your team is small enough that anecdote is your primary data.
Clawbacks: Narrow or Skip Them
A clawback requires a rep to return commission if a customer cancels within a specified period. The rationale is reasonable: without clawbacks, reps are financially incentivized to close any deal regardless of fit.
At the 2-AE stage, I recommend a single conditional clawback: if a customer cancels within 90 days of contract start for a reason directly attributable to the sale, specifically misrepresentation, inaccurate qualification, or a use case the product doesn’t support, the rep returns 100% of the commission on that deal. Narrow. Specific. Enforceable.
Do not implement a blanket clawback that applies to all early cancellations regardless of cause. Customer success failures, onboarding gaps, and product issues that drive churn are not the rep’s responsibility. Clawbacks applied to these scenarios punish reps for problems they didn’t create, which erodes trust faster than almost any other comp decision.
Write the clawback provision into the offer letter. Verbal agreements about how clawbacks work are always expensive to resolve, and they always surface at the worst possible moment.
Building the Plan in Four Weeks
If you’re starting from scratch, here’s the sequence that keeps you from designing something in two frantic days:
Week 1: Pull your data. Average deal size, average cycle length, close rate, number of qualified conversations needed per closed deal. This is the empirical foundation for quota. If you don’t have clean data in your CRM, this is the forcing function to get it. RevOps for Startups covers exactly how to instrument this before you build anything else on top of it.
Week 2: Draft the plan. Build a four-tab spreadsheet: (1) the comp structure with base, OTE, commission rate, and quota; (2) a monthly earnings projection at 50%, 75%, 100%, and 125% of quota; (3) the ramp schedule with draw amounts and reduced quota targets by month; (4) an accelerator calculation for overperformance scenarios. The earnings projection is the most important tab. You need to see what the plan costs you and what it pays the rep before you commit to anything.
Week 3: Review with both reps. Share a draft before you finalize it. Not for negotiation, but for calibration. Ask whether the quota feels achievable given what they know about the market. Ask whether the ramp gives them enough time to build pipeline before close pressure starts. If the reps say the quota looks unreachable and you can’t explain why it’s credible, you haven’t done enough quota-setting work. This review also catches math errors. If the plan says 10% commission but the formula calculates 8%, find it in week three, not month five.
Week 4: Simulate and launch. Run the numbers through one quarter of hypothetical scenarios. What happens if one rep hits quota and the other misses by 40%? What does total comp cost look like if both overperform at 130% in Q2? Make sure the plan is financially sustainable at high performance and genuinely motivating at average performance. Then launch it and don’t change it mid-quarter unless something is materially broken.
What to Watch in the First Six Months
A comp plan isn’t static. After two quarters, check these signals:
| Metric | Signal Worth Acting On | What It Means |
|---|---|---|
| Average quota attainment | Consistently below 50% | Quota too high for market conditions or ramp not long enough |
| Average quota attainment | Consistently above 90% | Quota too low; reset before next annual plan |
| Commission as % of ARR | Above 15% | Structural comp problem; renegotiate before next year |
| Pipeline coverage | Below 3x quota | Prospecting problem, not a comp problem |
| Voluntary turnover at 9-12 months | Either rep leaving | Comp plan quality shows up in this window; fix it before the second team |
The worst sign at month six is not underperformance. It’s a high-performing rep asking to renegotiate the plan. That means the plan isn’t rewarding what you thought it rewarded. Fix it before the second year rather than letting resentment build into a departure.
Every early-stage founder I’ve worked with has made the comp plan question harder than necessary by treating it as a finance task. It isn’t. It’s a management tool: one of the first things your reps learn about how you operate, what you expect, and whether you’ve thought seriously about their success.
If you’re building your first comp plan for a small team and want a second set of eyes on the numbers before you finalize anything, that’s exactly the kind of work we do in growth audits at Momentum Nexus. We’ll map out the structure, run the scenarios, and make sure what you’re about to sign into offer letters holds up through a full sales cycle.
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