Comp playbook · Operator diary · 2026
First-AE comp plan when you have no MRR yet
Standard B2B SaaS comp templates assume you have steady-state data — actual cycle length, actual ACV distribution, actual close rate. At pre-PMF you have none of that. Apply standard comp math anyway and you will set the rep up to miss quota at month 6, quit at month 9, and leave you concluding “we hired wrong.” The hire was usually fine. The math was built for a company that did not exist yet. This is the comp plan I would design for a first-AE hire at a pre-PMF B2B SaaS startup — structured to acknowledge the risk both sides are taking.
Why standard comp templates fail at pre-PMF
The standard B2B SaaS comp templates — Apollo's, Sales Assembly's, Winning By Design's — all assume you have data. Pull last year's closed-won list. Calculate average ACV. Compute the close rate. Set quota at 4-5x OTE on the steady-state math. That works at $5M+ ARR with a track record. At pre-PMF, every number you would feed into the template is a guess. Average ACV is what you hope it will be. Close rate is what you have observed in 8 deals (statistically meaningless). Cycle length is whatever the last deal took.
Apply the standard math anyway and you produce a plan optimized for a company that does not exist yet. The rep walks into a quota built on assumptions, a motion that is not replicable, and a playbook that lives in the founder's head. They miss target — not because they are bad, but because the math was wrong upstream. The fix is to design the pre-PMF comp plan from a different premise: the rep is taking risk, the founder is taking risk, and the plan has to acknowledge both honestly. That means cash above market, quota below standard, a ramp floor, and an uncapped upside.
The 6-step framework
Step 1 — Pick the behavior before the numbers
Comp plans drive behavior. The single most-skipped step in pre-PMF comp design is naming the behavior you are paying for. Default for the first AE is new-logo close — you have no expansion motion yet, no retention pattern to defend, and SDR pipeline is the founder. Write it down explicitly: "This rep is paid to close new logos that match Tier 1 ICP." Anything else (expansion, retention, kicker for case studies) gets layered later. If you skip this and start with OTE math, you will design a plan that pays the rep for activity instead of outcomes — and they will optimize accordingly.
Operator tip: The behavior call is also a hire-profile filter. "Paid to close new logos" attracts a different rep than "paid to grow accounts." Pick the behavior and the hire profile aligns automatically.
Step 2 — Set OTE 10-15% above market — the risk premium
A first AE at a pre-PMF startup is taking real career risk. No team, no playbook handoff library (yet), no proven motion. The compensation has to acknowledge that. Default OTE for a mid-market AE in B2B SaaS sits around $150-200K (50/50 split). For a pre-PMF first hire, pay 10-15% above that range. The premium attracts a senior, self-directed rep who can actually run without a sales manager — which is exactly what you need because you do not have one. Underpaying the first hire is the false economy that produces the wrong-fit rep most often blamed on "we hired wrong."
Operator tip: The risk premium is not equity, it is cash. Equity is a long-term incentive that founders default to because it preserves runway, but it does not change a rep's month-to-month motivation. Pay cash above market; layer equity (0.25-1%, 4-year vest, 1-year cliff) on top.
Step 3 — Set Year 1 quota at 60-70% of projected steady-state
Standard SaaS comp says AE quota = 4-5x OTE. That math assumes steady-state — a rep operating on a proven motion with a playbook, marketing-sourced leads, and an SDR feeding pipeline. Pre-PMF, none of that exists. Apply a 30-40% discount: if steady-state quota would be $750K, set Year 1 at $450K-$525K. Re-baseline Year 2 once you have actual cycle and close data. Setting full quota in Year 1 is the most common reason first AEs miss target and quit at month 6 — not because they are bad, but because the math was built for a company that did not exist yet.
Operator tip: The discounted Year 1 quota is also a forecasting tool. If the rep hits 70%+ of the lowered quota by month 9, your motion is replicable and you can hire AE #2. If they miss even the discounted quota, the diagnosis is upstream — ICP, list, sequence, demo, pricing — not the rep.
Step 4 — Design the ramp guarantee (months 1-6)
A ramp guarantee is a minimum commission paid out during ramp regardless of attainment, typically 50-70% of expected commission for the first 6 months. This is non-negotiable for first-hire economics. Without it, you will lose every senior AE candidate to companies that offer it. The math: if expected variable is $80K/year, expected monthly variable is ~$6,700. Guarantee 50% = $3,350/month minimum for months 1-6, totaling $20,100 floor. Document it in writing. Top reps treat this as proof you understand they are taking a risk on you. Skipping it signals you do not, and they will go elsewhere.
Operator tip: Pair the ramp guarantee with a written 90-day milestone plan (pipeline targets, demo counts, first close). The guarantee covers ramp risk; the milestones make sure the rep is actually ramping, not coasting on the floor. Both have to exist together.
Step 5 — Uncapped accelerators + 2-3 kickers (max)
Past 100% of quota, the commission rate accelerates. Standard schedule: 1.5x past 100%, 2.0x past 150%, 2.5x past 200%. Do not cap. Capped accelerators read as "this company is afraid of paying a top rep" and the only candidates who accept capped plans are reps who have no other options. Layer 2-3 deal-level kickers max: multi-year deal bonus, annual prepay bonus, strategic-logo bonus. More than 3 kickers dilutes focus — the rep starts gaming the structure instead of selling. The kickers should encode strategic priorities, not be a creativity exercise.
Operator tip: Yes, you will occasionally pay an outlier rep more than you expected. That is the cost of having one. The companies that cap accelerators trade short-term comp predictability for long-term talent erosion, and it shows up in the team you end up with two years later.
Step 6 — Document clawbacks + termination policy
Clawbacks recoup commission on deals that churn quickly. Standard: 100% clawed back if customer churns within 6 months of close, 50% if 6-12 months, no clawback after 12. The window protects you from reps closing bad-fit deals to hit short-term quota. Termination policy says what happens to commission on deals that close after the rep leaves — typical pattern: commissions paid through last day on closed-won deals; nothing on deals not yet closed. Write both. Disputes happen when the rep believes they earned commission you believe they did not — the only protection is a signed comp plan that documents the rules upfront. Verbal comp plans destroy trust faster than any other mistake in this list.
Operator tip: Clawbacks feel like punishment to reps. Frame them in the plan doc explicitly: "We both win when customers stick. Both lose when they do not. The clawback is the math of that alignment." Pair clawbacks with discovery training (use the discovery-call-runner skill) so reps have the tools to avoid bad-fit closes in the first place.
Three approaches considered (and why pre-PMF comp won)
Three real ways to structure first-AE comp at pre-PMF. Each is defensible somewhere. Only one fits the actual stage:
| Approach | Structure | Pro case | Why it loses at pre-PMF |
|---|---|---|---|
| Pre-PMF comp plan Chose this | $170-225K OTE (10-15% above market), 60/40 base/variable, Year 1 quota at 60-70% of steady-state, ramp guarantee 50% of expected variable for months 1-6, uncapped accelerators, 2-3 strategic kickers, standard 6mo full / 6-12mo half clawback. | Acknowledges that the motion is unproven and the rep is taking real career risk. Attracts senior, self-directed talent. Sets the rep up to hit lowered Year 1 quota and re-baseline Year 2 with real data. Aligns rep behavior with new-logo close (the only behavior that matters pre-PMF). | Higher cash burn in Year 1 (the risk premium + ramp guarantee adds $30-50K vs. market comp). Requires the founder to defend the math when a finance-minded co-founder pushes for "standard" comp. |
| Steady-state comp from day one | Market-rate $150-200K OTE, 50/50 split, quota = 4-5x OTE ($600K-$1M), no ramp guarantee, standard accelerators. | Lower Year 1 cash burn. Matches the comp templates most operators have seen at later-stage companies. Easier to defend internally because it is "the standard." | Built for a company that does not exist yet. The rep misses quota by month 6 because the motion is not replicable yet, not because they are bad. Either quits or gets fired; founder concludes "we hired wrong" and runs the same play on the next hire. The pattern is the problem. |
| All-commission with no base | $0-30K base + 100% variable commission on closed revenue, no quota structure, no ramp guarantee. | Preserves cash. Aligns rep entirely with closed revenue. Attractive to founders who treat comp as a cost rather than an investment. | Senior B2B SaaS AEs will not take this offer at a pre-PMF startup. Only candidates who accept commission-only at this stage are commission-only freelancers (different motion) or reps with no other options. You attract the bottom of the candidate pool. The motion never proves out because the rep was not capable in the first place. |
The math behind the numbers — a worked example
For a mid-market AE selling $20K ACV B2B SaaS at pre-PMF, here is the plan I would write:
- OTE: $190K (market $170K + 12% risk premium). 60/40 split: $114K base, $76K variable.
- Projected steady-state quota: $850K new ARR (4.5x OTE). At $20K ACV, that is 43 deals/year.
- Year 1 quota: $560K (66% of steady-state). 28 deals/year. Acknowledges ramp + unproven motion.
- Ramp guarantee: $3,200/month for months 1-6 ($19,200 total). 50% of expected variable rate.
- Commission rate: Base rate ($76K/$560K) = 13.6%. Effective rate with accelerators: 6.8% under quota, 13.6% at quota, 20.4% past 100%, 27.2% past 150%, 34% past 200%.
- Kickers: $1,000 flat for multi-year deal; $500 flat for annual prepay (vs. monthly). Two kickers, both encoded as cash-flow / retention strategic priorities.
- Equity: 0.4% common stock, 4-year vest, 1-year cliff.
- Clawback: 100% on churn within 6 months; 50% on churn 6-12 months; none after 12.
Year 1 cash exposure at 100% attainment: $190K. At 150% attainment: $228K (uncapped upside is real). At 50% attainment: $114K base + $19,200 ramp guarantee = $133K. Plan for ~$200K cash burn on the hire including tools, recruiting, and overhead. Have 12 months of that runway available before signing the offer.
Common mistakes
- Picking OTE before deciding the behavior. OTE without behavior philosophy is just a number. You will design a plan that pays the rep for activity instead of outcomes, and they will optimize accordingly. Behavior first, math second.
- Setting Year 1 quota at full steady-state. Most common reason first AEs miss target and quit at month 6. The math was built for a company that does not exist yet. Discount Year 1 quota 30-40%; re-baseline Year 2 with actual data.
- Skipping the ramp guarantee to save cash. False economy. Without the guarantee, you lose every senior AE candidate to companies that offer it. The candidates who accept no-guarantee plans at pre-PMF are usually not the ones you want.
- Capping accelerators because "what if they hit 300%". If a rep hits 300%, they are generating 3x the revenue. Pay them for it. Capped accelerators signal risk-aversion to the talent market and produce a slow talent erosion that costs more than any single outlier payout.
- Verbal comp plan or "we will figure it out". Disputes destroy trust faster than any other mistake on this list. The signed, dated, written comp plan is the artifact. Sign annually. Sign before the rep starts. Sign before any new deal type is sold.
- Designing the first AE comp plan in isolation from pricing. If your pricing changes, the comp math has to change with it. A flat $99 product has different quota math than a per-decision product with a $249 cap. Build comp in dialogue with pricing-and-packaging, not after.
Related operator reading
- Per-decision pricing for B2B SaaS — if pricing is unstable, the comp math is unstable. Pair pricing and comp design in the same week, not separately.
- ICP at pre-revenue — the comp plan only works if the rep is closing the right accounts. ICP defines what counts as a Tier 1 deal; comp pays for closing them.
- SaaS renewal negotiation playbook — renewals are not in the AE comp plan, but they affect quota credit math. Know the renewal framework before designing the comp rules around it.
- The StackSwap Operator Playbook — 10 Claude skills covering the full GTM motion. Free icp-builder + $99 bundle for the other 9 including comp-plan-designer.
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Canonical URL: https://stackswap.ai/first-ae-comp-plan-pre-pmf