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Sales & GTM for AI Scale-ups · 2026

Sales Team Buildout

This is the hiring system I use to fill the seats in a sales capacity plan. A hiring kit for AEs, BDRs, SEs, FDEs, and GTM engineers: what to select for, and what to reject.

This kit is for enterprise ACV and a real sales cycle, not a high-volume PLG seat.

Ask Andrew’s GTM agent

TL;DR

  • The stage unlocks the hire, not the next org chart.
  • Pair every seller hire. Shared onboarding, an honest A/B.
  • A second miss at day 60 opens the backfill that day.
  • Athletes who still carry a bag, not logo VPs.
  • The kit is ungated. Files are on this page, no form.

Kit

Roles

Contents

Why it matters

When to hire

Who to hire

How they ramp

Pay and kit

Elsewhere

01 · Why this exists

The capacity model is a hiring calendar. The scorecard is the bar.

You do not hire a "sales org." You schedule seats whose year-one production, net of a failure haircut, clears the number you can commit.

This page is how to qualify and select the profiles those seats need: Enterprise AE, BDR/SDR, Sales Engineer, FDE, and GTM Engineer.

Nothing here is HR theater. Same system as the Sales Playbook: stage gates, activity math, day-60 backfills, pair hires.

Who this is for. Founders and boards scaling $1M to $20M ARR who need athletes before they need a logo slide, and who sell subscription or usage into enterprises that need a committee and a C-level signature. Not a product an individual or a small team can evaluate and buy on a company card. High-volume, low-ACV, self-serve PLG is a different job. Open source can still be the land. Snyk got individual users in. Converting a small OSS deployment into an enterprise contract is still this kit, not a separate velocity seat.

The job

Size the seats on the capacity planner. Fill them with the bar on this page. Do not reverse that order.

Contents

02 · Stage gates

Hire the role the stage unlocks. Not the next stage's org chart.

Each band has one question. Pass it and the next role is earned. Fail it and a bigger title is a story you are buying.

Stage unlocks
Stage Question Sellers Support Role unlocked
$0-1M Prove Strangers buy, deploy, renew? Founder + 1 FDE Contract SE FDE, the builder in the room. No VP Sales.
$1-5M Repeat Two non-founder sellers ≥70% quota, two qtrs? 2-3 AE athletes + 1-2 BDRs 1 SE · DevRel GTM engineer by ~$3M. Athletes who prospect + run POVs.
$5-10M Engine Field math clears at real ACV? 6-8 AEs, dual-track 2-3 SEs · BDRs · FDE on strategic More AEs, SEs, FDE on strategic. No VP Sales until evidence.
$10-20M Compound Growth cheaper as ARR grows? 10-14 AEs · EMEA when pull exists SE team · channel More of the same five seats.

01 · Pair every seller hire

Two at a time, shared onboarding, an honest A/B on whether the bar held. Never lower the bar on seat two to "fill the plan."

02 · Backfill on day 60

A second miss at the day-60 activity gate opens the req that same day. The calendar does not wait for a QBR.

03 · Plan at production

Not quota. Haircut new and ramping seats ~30%. Year-one yield vs quota sits at 55-60%.

Hire the motion, not the raise. Do not hire the overlay, the VP Sales, or the international pod on the back of a raise. Hire the next AE athlete after the last one clears the 60-day gate. Capital makes the wrong org more expensive.

The tell

A Stage 2 company hiring a big-company VP with no recent bag and no recent POV is buying a story.

Contents

03 · Profiles

Select for the work. Reject the slide.

Comp figures below are illustrative 2026 US-metro bands for AI and AI-security scale-ups, not an offer. Quota-to-OTE is the number that decides the model.

03.1 · Enterprise AE

The athlete who prospects and still runs the POV.

MEDDPICC. Self-source about one held meeting a week. POV with signed criteria. Comfortable in ambiguity. Illustrative OTE $300-330K, 50/50, quota-to-OTE 3-3.5x, accelerators 1.25x, about 10% of variable on pipeline generation.

Select for

  • Names Economic Buyer and paper process without prompting
  • A self-source story with math, not a territory that was handed over
  • POV discipline: success criteria signed, clock started, kill or close
  • Operates when the ICP is still moving
  • Splits the book into project management and project formation, and cuts the ones that will not become a project
  • Follow-ups recap milestones to value delivery, not "just checking in"
  • Can show an AI workflow they actually run, not a tool list. See AI changes the math.

Reject for

  • Cannot name EB, legal, or security review on a live deal
  • No recent self-source; "my SDR booked it"
  • Inflated attainment with no funnel math behind it
  • Wants a brand, a overlay team, and a clean ICP on day one
  • Multi-threads around the champion to chase a title
  • Every follow-up is a single next step with no work-back plan

The AE who hit 200% two years running as we went $1M to $10M lived in project mode. The run is playbook 03.7.

03.2 · BDR / SDR

Paid on held meetings that become Stage 2. Never on dials.

Often two held meetings a week that convert toward Stage 2. Illustrative $90-110K OTE, 75/25.

Select for

  • Held-meeting craft: the meeting shows up, and it is the right person
  • Writes like a human; sequences are a tool, not the job
  • Takes coaching on talk tracks the same week it is given

Reject for

  • Wants to be measured on activity volume
  • Cannot explain why a meeting died between hold and Stage 2
  • Refuses call recording or live coaching

03.3 · Sales Engineer

Success criteria first. POV in 14 days or less. One SE to three AEs.

Illustrative $230-260K OTE, 70/30. Variable on POV win rate and POV cycle time.

Select for

  • Writes success criteria the buyer will sign
  • Scopes a POV that can finish in two weeks, not a science project
  • Partners the AE; does not replace discovery

Reject for

  • Demo theater with no exit criteria
  • Custom work that cannot be productized
  • Hides from the commercial conversation

03.4 · Forward-Deployed Engineer

Scope like a POV. Cost is CAC. Exit is repeatability.

One FDE to two or three strategic accounts. Illustrative $220-280K, 80/20. Bonus on POV wins and on repeats that get productized.

Select for

  • Builds in the account and writes down what should become product
  • Treats time in the account as cost of sale, not as a residency
  • Leaves behind a motion a later AE/SE pair can run

Reject for

  • Permanent professional services in disguise
  • No opinion on what should be in the product
  • Cannot time-box a deployment

03.5 · GTM Engineer

Headless stack. Human gate on every send. Hire by about $3M ARR.

Illustrative $160-200K, base plus bonus on pipeline-per-pod efficiency. Owns the AI-native engine the playbook runs.

Select for

  • Ships systems: CRM, enrichment, outbound, routing, reporting
  • Puts a human on every external send, as a rule, not a preference
  • Makes the AE's week shorter, not the stack more interesting
  • Can show what they built with AI for the business and for themselves

Reject for

  • Wants to "let the agents run"
  • Tool collecting with no operating cadence
  • Cannot sit with a seller and watch a Monday
Contents

04 · Selection loop

Four conversations, then references. Optional take-home under three hours.

The loop is the same for every seller seat. Time-box it. Score it. Pair-check it. Templates live in 09 Artifacts.

Screen · 20-30m

Can they tell a deal story with math?

EB, paper, self-source, last two quarters of attainment with the funnel behind it. Hang up if the story needs a manager to explain it.

Discovery · 45-60m

Craft against this product, this ICP, this stage.

How they would open a named account. Where MEDDPICC is thin. What they would refuse to demo. Listen for judgment, not enthusiasm.

Role-play · 45-60m

Run the hard part live.

AE: discovery plus a POV-criteria close. BDR: hold a meeting with a skeptical champion. SE/FDE: scope a two-week POV. Record it. Score it.

Take-home · ≤3h

Optional. Never a weekend project.

One account plan, one sequence, or one POV outline. If it takes more than three hours, you designed it wrong.

References

Confirm the story the scorecard already believes.

Manager, a peer, and someone they sold with. Ask about self-source, coaching, and what happened at day 60.

Hire if

Must-have average at or above 3.0, no hard red flag, at least two yes votes, references confirm. Pair check: never lower the bar on seat two.

Red flags that end the loop

  • Cannot name EB or paper. They have been in rooms. They have not run deals.
  • No self-source story. A book that was inherited is not a book they can build here.
  • Stage 2 hire who is a logo VP. Title from a company that already had demand.
  • Refuses coaching or recording. The operating system is the recordings.
  • Inflated attainment without math. If they cannot walk the funnel, the number is a slide.
Contents

05 · AI changes the math

AI changes the math.

I hire for AI fluency the same way I hire for discovery. Show me the work. The profiles still decide the seat. This is the extra gate on AE, GTM engineer, and leader loops.

Hard gate on GTM-engineer and leader seats. Kyle Norton, in Captivate Talent's 2026 note on hiring for AI fluency, asks two questions: "What have you built using AI for the business?" and "What have you built for yourself?" I put both on the screen for GTM engineer and for any leader seat. Same scorecard structure as 09 Artifacts. AI is a requirement on those seats, not a bonus skill.

On the screen

  • What have you built using AI for the business? (Norton / Captivate)
  • What have you built for yourself? Side workflows count. Tool lists do not.
  • Walk a deal where the buyer said the data was not ready, or the model was not accurate enough to trust. Nobel Recruitment's 2026 AE-selling-AI note is the objection set I use. Fundamentals still beat a lecture on models.

On the scorecard

  • Sloane Staffing's 2026 AE scorecard weights AI workflow fluency at 15%, next to consensus-building (25%), judgment (20%), and discovery (15%). Those weights are Sloane's. I keep a "trainable in 90 days?" column on each row.
  • A mock call still carries more weight than the essay. Norton is right about that.
  • I do not hire a logo VP who wants an overlay team to run the agents. Athletes, not a slide.

The live working session

I run this instead of, or beside, the take-home in 04 Selection loop. Adapted from Rework's 2026 AI-fluency hire note.

AE / BDR · 20m

ICP plus 50 accounts. Prioritize. Write the first touch.

They may use any AI tool they already run. I watch what they ask it, what they delete, and whether the first touch would survive the discovery stages. If they paste the model's first draft, that is the tell.

Senior · 30m

Research brief, a 3-email sequence, and a deal strategy on one named account.

Same rule: they can use the tools. I score judgment. Who is the economic buyer. What would make them refuse the demo. Where the agent is allowed to draft and where a person has to sign.

The GTM engineer seat is not a rumor. GTME Pulse's 2026 job-market cut (Rome Thorndike, March 2026) counted 3,000-plus open roles, postings up 205% year over year, 69% mentioning Clay. Clay's own write-up of the role folds SDR, AE, and SE work into a builder-seller who runs signal workflows. That is the 03.5 GTM Engineer profile. Vendor page. I still hire it as a system owner with a human gate on every send, which is how the AI layer is written.

SaaStr, citing Emergence: 36% of companies cut SDRs, 28% grew AEs. ICONIQ's AI-forward teams, already cited on the capacity scenario, hit quota at 67% vs 59%. I hire fewer SDRs and more athletes who carry a bag. The SDR seat, when I keep it, is an agent manager paid on held meetings that become Stage 2. Never on dials. That is already on 03.2.

The handoff

Motion on the Playbook. Agents on Pipeline Gen. Seats on Capacity. This page is who you put in the seat.

Sources, all third-party: Kyle Norton / Captivate Talent; Rework; Sloane Staffing; Nobel Recruitment; GTME Pulse; Clay; SaaStr / Emergence and ICONIQ as linked. None of these numbers are mine.

Contents

06 · Ramp gates

Day 30 inspects setup. Day 60 decides the seat. Day 90 decides the book.

A second miss at day 60 opens the backfill that day. Two reps below the day-60 gates is a company tripwire: reallocate pipeline and open the req the same day.

Activity gates, new seller seats
Gate Enterprise AE BDR SE / FDE
Day 30 CRM live, 15 accounts researched, first discovery held, scorecard reviewed with manager Stack live, first held meeting booked, talk track coached from a recording POV kit ready, first success-criteria draft sitting with an AE
Day 60 Four held discoveries, one Stage 2, self-source visible. Second miss opens backfill that day. Held meetings converting toward Stage 2, on a path to two a week One POV in flight with signed criteria and a clock
Day 90 Eight held discoveries, two Stage 2, first POV opened or a close-plan on a live deal Run-rate near two held a week, Stage-2 conversion in the band POV win or a documented kill against criteria; next POV already scoped
Company tripwire

Two reps below day-60 gates: reallocate pipeline and open the req the same day. Do not wait for the quarter to explain it.

Contents

07 · Build or buy enterprise AEs

You can't hire your way upmarket. Most of the closers have to be built.

Moving upmarket takes skills a mid-market AE may never have used: getting to the economic buyer, discovery that prices the outcome, building consensus across several threads, and steering a buying group that can't decide. The question every founder asks me is whether to promote the team they have or hire seasoned enterprise sellers. My answer is both, and the selection loop and ramp gates are where I sort out who is who.

The best data I've seen on this is from Chris Orlob at Caliber. Caliber used AI to score 1,592 sellers across more than 300,000 real calls on one skill, which it calls Complex Value-Based Discovery. The average starting score was 39 out of 100. Every seller then got the same 30-day training, and Caliber re-scored them 90 days later. They split into four groups, which Caliber calls the Caliber Quadrant. The numbers are Caliber's, not mine.

The Caliber Quadrant, 1,592 sellers (Caliber data)
Caliber typeShareWhat Caliber sawWhat I do with it
Frontrunners15% (239)Already skilled. Improvement probably capped.Hire them when you find them. Use their calls as the "what good looks like" tape and make them mentors.
Rising Stars14%Started with a real gap, closed it fast.Coach them first. One hour with them moves more deals than any other hour of my week.
Climbers43%Real gap, little progress without reinforcement.Manager reinforcement every week on recorded calls. Training alone turns them into Drifters.
Drifters28% (445)Real gap, no improvement after the same training.Manage up or out at the day-60 gate. Coaching that changes nothing is a cost.

On the screen

  • Hire for slope, not polish. Orlob's split says only 15% of sellers walk in ready, so a loop that only passes Frontrunners will never fill the plan on Capacity.
  • In the mock call, I coach once mid-call and run the scene again. A candidate who changes the second pass is showing me a slope. One who repeats the first pass is showing me a Drifter.
  • Ask for the economic buyer, the paper process, and the dollar cost of the pain on a real deal they ran. Same red flags as every seller seat.

In the first 90 days

  • Discovery runs on the stages in the playbook's discovery section, which already adapts Caliber's 50 questions. Every new AE gets scored against those stages on recorded calls, not on a quiz.
  • The manager reviews recordings weekly. Orlob's finding is that Climbers improve on reinforcement more than on training quality, so manager time is where I spend first.
  • The day-60 gate decides the seat. If a Drifter shows up there, the backfill opens that day.
  • AI scoring of calls is how Caliber measured this. It's also the cheapest way I know to see a slope before day 60, which is why it sits next to AI changes the math.
The rule

Buy the 15% when you can. Build the 57% in the middle on purpose. Don't spend the quarter on the 28% who won't move.

Source, third-party: Chris Orlob, Caliber, "Why Your AEs Won't Close Enterprise Deals, Unless You Know This" (The Caliber Index, X Article, 2026). Shares, counts, and the 39/100 baseline are Caliber's study, not my results. Caliber Quadrant, Value-Based Discovery, and the four type names are Caliber's terms.

Contents

08 · Comp bands 2026

Pay the work the stage needs. Not the title the candidate wants.

Illustrative US-metro bands for AI and AI-security scale-ups. Plan year-one production at 55-60% of quota. Nobody carries a full number before month seven.

Plan assumptions, not an offer
Role Cash / OTE Split Mechanics
Enterprise AE $300-330K 50 / 50 Quota-to-OTE 3-3.5x. Accelerators 1.25x above plan, no cliffs. ~10% of variable on pipeline generation.
BDR / SDR $90-110K 75 / 25 Paid on held meetings that convert to Stage 2. Never on dials.
Sales Engineer $230-260K 70 / 30 1:3 with AE. Variable on POV win rate and POV cycle time.
FDE $220-280K 80 / 20 1:2-3 on strategic accounts. Bonus on POV wins and on repeats that get productized.
GTM Engineer $160-200K Base + bonus Owns the headless stack. Bonus on pipeline-per-pod efficiency. Hire by ~$3M ARR.

Plan assumptions. 55-60% year-one yield versus quota. ~30% haircut on new and ramping seats. A new AE seat returns about $600K in its first twelve months against a $1.0M steady-state standard. Change those levers on the capacity planner.

Contents

09 · Artifacts

The kit, ungated.

Copy the templates. Fill the blanks. The Acme scorecard is hypothetical and illustrative only. Nothing is behind a form.

Contents

Andrew Wesbecher

Bring the number, and the seats it implies.

If you are scaling $1M to $20M and the next hire is the constraint, the inbox is open. Full-time CRO or VP Sales is the priority.

andrew@wesbecher.llc linkedin.com/in/wesbecher

Companions on this site: Playbook 11 Scale, 10 Capacity, 12 Team, 13 OS, plus the working capacity planner. If the planner sized the seats, start at Enterprise AE.

Talk to Andrew