Before the next sales hire.
The 2026 hiring plan most founders are running was sized in 2023. This is the diagnostic, the math, and the decision we walk through with founders before another offer goes out.
10-minute read · 7 role benchmarks · 1 interactive calculator · 1 composite case study
The 2026 hiring plan you got from a 2023 playbook.
If you are a Series A or Series B founder right now, the next sales hire is probably the most expensive decision you will make this quarter. A mid-market AE runs roughly $280-340K loaded once you stack base, variable, benefits, payroll tax, and equipment. An enterprise AE crosses $400K. Add the 5-to-7 month ramp before they are producing at full quota and the true year-one cost of a single AE often pencils closer to $425K.
None of that is new. What is new is the comparison set. The hiring math your board, your investors, and your own templates are running was sized against a 2023 baseline of what sales work actually involves. In 2023, Salesforce's State of Sales report had AEs spending ~28% of their time actually selling. The other 72% was research, list-building, follow-up scheduling, CRM hygiene, handoff coordination, and pipeline reporting. Most hiring plans implicitly assumed you needed bodies to do that 72%.
That assumption is the one that quietly broke. The frontier models that landed in 2024 and 2025 are now operating reliably across most of that non-selling surface area. Lead enrichment that used to take 8-15 hours of SDR time per 100 verified accounts (Bridge Group) now runs in 15-45 minutes. Sequence personalization at scale, follow-up cadence orchestration, meeting prep briefs, CRM data normalization, and pipeline review summaries are all things we routinely stand up as workflows for our customers in a single week.
The effect on the unit economics is straightforward, even if most boards have not yet internalized it: a closer-headcount-constant GTM org can now run roughly 5-8x pipeline coverage instead of the 3-4x ICONIQ Growth pegged as healthy in 2023. The same AEs, doing actually more selling, against an AI-augmented top of funnel. The bottleneck is no longer "do we have enough SDRs to feed the team." It is "did we build the workflows that let our AEs sell instead of administrate."
That shift turns the hiring plan into the wrong primary question. The right one is: which open reqs represent work that AI now covers, and which represent work that still requires a human?
What each open req actually costs you.
These are the numbers we hold in our head when a founder shares a hiring plan with us. They sit between two data sources: published mid-market B2B SaaS benchmarks from Bridge Group, Xactly, and ICONIQ Growth on the one hand, and the engagements we have actually run over the past 18 months on the other.
Two columns matter more than the others. Loaded /yr is what the hire actually costs once you stop pretending base salary is the number. And AI coverage is the share of the role's responsibilities we have seen successfully offloaded to AI workflows at peer teams. Coverage tracks role responsibilities, not titles, which is why two SDR reqs at different companies can land in very different bands.
| Role | Loaded /yr | Ramp | Attainment | AI coverage | Human bar |
|---|---|---|---|---|---|
| SDR | $110-130K | 3-5 mo | 55-65% | 60-75% | Cold-call discovery, in-person events |
| BDR | $100-120K | 3-5 mo | 55-65% | 65-75% | Account-based outreach to senior buyers |
| AE (mid-market) | $280-340K | 5-7 mo | 45-55% | 25-35% | Discovery, negotiation, multi-threading |
| AE (enterprise) | $380-500K | 6-9 mo | 40-50% | 15-25% | Exec sponsorship, complex procurement |
| SE | $240-310K | 4-6 mo | N/A | 20-30% | Live technical demos, architecture review |
| CSM | $160-210K | 3-5 mo | N/A | 30-40% | Stakeholder management, renewal negotiations |
| RevOps | $180-240K | 2-4 mo | N/A | 40-55% | GTM strategy, complex compensation design |
The pattern is consistent. Roles whose value sits in throughput of structured work, SDRs, BDRs, and the operational half of RevOps, land in the 60-75% AI coverage band. Roles whose value sits in human judgment under uncertainty, enterprise AEs, solutions engineers, senior CSMs, land in the 15-30% band. Mid-market AEs sit awkwardly in between, which is precisely where most growth-stage hiring plans end up over-indexed.
The next step is to apply those bands to the specific reqs in front of you.
Run it against your hiring plan.
The point of the benchmarks above is not that our averages happen to be right for you. It is that the math, once you run it on your actual open reqs, almost always surfaces a different decision than the hiring plan you walked in with. Drop your numbers in below. The three figures to watch are the true year-one cost (which includes ramp drag, not just comp), the share AI coverage could replace at peer-team rates, and the net savings if you re-tool instead.
How many open reqs are you planning to fill?
Loaded cost = base + variable comp × 1.25 (benefits, payroll tax, equipment). Ramp loss assumes 60% productivity gap over the average ramp window. AI coverage is the share of role responsibilities our team has seen successfully offloaded to AI tooling in 2026 engagements.
Year-one cost vs the AI-coverage alternative
Per-role breakdown
| Role | Count | Loaded | AI covers |
|---|---|---|---|
| SDR | 2 | $238K | $166K |
| AE | 4 | $1.30M | $390K |
| CSM | 1 | $175K | $61K |
If the net-savings number is meaningful, that is the lower bound on what a cancel-or-keep audit would surface for you. The full audit also flags which specific reqs are the cancel candidates, what the kept-role hires should look like under the new motion, and what the time-to-pipeline shift looks like once you skip the ramp. That is the section we get to next.
The 13-req plan that became a 6-req plan.
Composite drawn from Series B engagements over the last 18 months. The numbers, role mix, and 12-month outcomes reflect the actual shape of work we have run. Specifics are anonymized.
The company was a Series B B2B SaaS, roughly $8M ARR, 32 people in the GTM org. The board had pushed for 40% NRR growth in the next twelve months and the leadership team had built a hiring plan around it: six SDRs, four AEs, two CSMs, and one RevOps lead. Total year-one loaded cost, including ramp drag, came in just over $2.4M. The first offers were meant to go out six weeks after we sat down with them.
The audit looked at each req at the responsibility level, not the title level. Of the thirteen reqs on the plan, five were doing work that AI was already covering end-to-end at peer teams: SDR list-building, sequence personalization, light first-touch qualification, and the reporting half of the RevOps role. A separate two AE reqs were structurally premature, the motion in those segments was still founder-led, and a senior AE walking in cold would have flailed against enablement that nobody had built yet.
That is seven reqs that did not survive the audit. The team cancelled all seven, kept the remaining three AE hires and the one CSM hire (selecting hard for the human-bar work AI cannot do), and redirected the freed budget into a 90-day AI-augmentation engagement that built the prospecting, sequencing, CRM hygiene, and pipeline review workflows the cancelled hires would have inherited anyway.
The twelve-month outcome made the argument better than the audit did. Pipeline up 2.1x year over year on roughly the same closer headcount. Net new ARR up 38%, against a 40% board ask and well ahead of the hires-only counterfactual the original plan was built on. Cash burn down $1.6M for the year against the plan. Two of the four kept hires hit 110% of quota in their first full year, in part because they walked into an AI-augmented stack on day one rather than spending six months building one themselves.
Forward-deployed, not a tool.
The case study above happened because the team trusted us to own the workflow side of the equation, not just hand them a deck. That is the shape of every engagement we run. We embed with your team, build the AI-augmented workflows your cancelled-hire responsibilities used to require, and stay close enough to keep the system tuned as capability drifts. Concretely, that breaks into four stages a typical customer moves through with us over a quarter:
The cancel-or-keep audit
60-min working session walking through every open req at the responsibility level. We map AI coverage today and give you a written cancel-or-keep map, with per-role savings math, by end of week.
Re-tool the keepers
For the roles you do hire, we build the AI-augmented stack before day one so they walk into the leveraged version of the job. Prospecting, sequencing, CRM hygiene, and pipeline review workflows live and operating.
Forward-deployed coverage
When you want to skip a hire entirely, we run the workflow ourselves. Embedded in your Slack, working as if we were on the team, owning the outcome at a fraction of the loaded-cost number.
Quarterly coverage review
AI capability shifts every 90 days. We re-run the cancel-or-keep audit each quarter and update the playbook so your hiring plan stays aligned with what the technology actually does now.
The first conversation is always the same: a free 20-minute audit on your actual open reqs. That call alone is usually enough to surface the cancel-or-keep decision. What happens after is your call.
Bring your open reqs. We will run the math live.
One short call. We map AI coverage on each role, run the loaded-cost math live against your specific plan, and send you a written cancel-or-keep map the same day. No pitch, just the numbers.
Book the audit →Free for founders with 1+ open commercial req. We will not pitch you anything on the call.