GTM, SDR, and CS teams
built at AI-company speed.
AI-fluent operators who can read a model card, paired with our AI agent stack. Founder-led sales support, AI-native SDR, technical sales, and AI customer success, deployed in 21–45 days, scaled weekly, priced flat.
Your product moves weekly. Your GTM hires take six months. The gap is killing the year.
Generic SDRs don't work
Your buyer is technical. A junior outbound rep reading a generic script gets ignored or, worse, embarrasses the brand.
Founder-led is the ceiling
Founders are the best sellers, and the worst use of time on demo logistics, follow-ups, and CRM. The motion plateaus around 6–8 calls a week.
CS can't keep up with the roadmap
Every release expands the surface area. Without a team that re-enables weekly, support quality collapses and NRR with it.
AI-fluent humans + your product + our agent stack. Shipped as a pod.
Our AI-labs bench is curated, not recruited from a marketplace. People with ML PM, AI ops, technical CSM, and AI-product sales backgrounds. We pair them with AI agents for research, sequencing, technical answers, and CRM hygiene, then run a weekly enablement cadence so your roadmap and the pod move in lockstep.
The bench
Pre-vetted AI-fluent operators. They've worked on AI products and can speak to evals, RAG, agents, latency, not just features.
The stack
AI agents for research, sequencing, technical drafting, post-call summaries, CRM ops. Your tools, your data, your prompts.
The cadence
Weekly product sync, mid-week re-enablement, Friday-locked playbooks. Roadmap-paced sales and CS, not quarterly retraining.
Six pod types, designed for AI labs.
Founder-Led Sales Support
Research, multi-thread sequencing, demo prep, post-call follow-ups, CRM hygiene, expansion mapping. Founder keeps the room; pod runs the motion.
AI-Native SDR Pod
Technical outbound to AI-savvy buyers. Account-tiered, signal-based, human-voiced + AI-volume. KPI: qualified meetings with ICP.
Technical Sales / Solutions
Pre-sales architecture, eval design support, POC orchestration, security questionnaires, technical proposals.
AI Customer Success
Adoption playbooks for AI products, value reviews, expansion mapping, model/version migration support, advocacy.
AI Onboarding & Implementation
White-glove activation, integration scoping, success-criteria contracting, time-to-first-value compression.
Community / DevRel Ops
Discord/Slack moderation, content amplification, dev sentiment tracking, contributor pipelines, event ops.
21 days for SDR / Founder-Led. 45 days for Technical Sales / CS.
- Week 1Step 1
Product deep-dive
Engineering and founder sit with the pod lead. Eval the product, the eval set, the buyer, the objections, the roadmap.
- Week 2Step 2
Assemble + train
Pod assembled from AI-labs bench. AI agents trained on docs, repos, model cards, sales calls, and your tooling.
- Week 3Step 3
Supervised live
Pod runs real motion under supervision. Recordings reviewed daily. Playbook locked Friday.
- Week 4+Step 4
Scale & enable
Go live under SLA. Weekly enablement cadence. Add seats, add pods, or layer additional functions.
Why AI labs pick us over the obvious alternatives.
| Gracemark AI Pod | US in-house build | Generic SDR-as-a-service | AI tools only | |
|---|---|---|---|---|
| Time to revenue motion | 21–45 days | 4–6 months | 30 days | n/a, still on founder |
| AI-fluent operators | depends | n/a | ||
| Weekly product enablement | depends | n/a | ||
| Paired with AI agent stack | DIY | yes, no humans | ||
| Founder-friendly motion | depends | n/a | ||
| Scales weekly | ||||
| Cost vs US build | ~40–60% less | Baseline | Cheaper, lower quality | Tool cost only |
The founder writes code again. The motion ships every week.
At a glance
- Product
- AI-fluent GTM, sales, and CS pods built for AI-native companies.
- Buyer
- AI labs, foundation-model companies, AI-native SaaS, applied-AI startups (seed–series C).
- Deployment time
- 21 days (SDR / Founder-Led Support); 30–45 days (Technical Sales, AI CS).
- Pod types
- Founder-Led Sales Support, AI-Native SDR, Technical Sales / Solutions, AI Customer Success, AI Onboarding, Community / DevRel ops.
- Operator profile
- Pre-vetted AI-fluent operators with ML PM, AI ops, technical CSM, or AI-product sales backgrounds.
- AI stack pairing
- Operators paired with the Gracemark AI agent stack for research, sequencing, technical drafting, CRM ops.
- Enablement cadence
- Weekly product sync, mid-week re-enablement, Friday-locked playbooks, roadmap-paced.
- Geography
- Nearshore Latin America, time-zone aligned with North American hours.
- Pricing model
- Flat monthly per pod, materially below US in-house build.
- Founder fit
- Designed to support, not replace, founder-led sales, founder keeps the room, pod runs the motion.
A live motion in 30 days or we work for free until you have one.
We commit a live, in-market motion (booked meetings, active CS cadence, technical sales engaged) within 30 days of kickoff for standard scopes. Miss it and we work for free until it's there. Month-to-month after day 90.
Start with one pod. Add the motion as you grow.
Most AI companies begin with Founder-Led support or an SDR pod, prove the motion in weeks, then layer technical sales and CS. Pick where the bottleneck is right now, the same team scales the rest with no restart.
GTM & SDR Pods
Founder-led support, AI-native SDR, technical sales and CS, shipped as a pod.
AI-Enabled Operators
AI-fluent people who read a model card and sell the product fluently.
Nearshore AI Talent
Curated AI-fluent bench, time-zone aligned, deployed in weeks.
AI Virtual Assistants
AIVAs for research, sequencing, CRM hygiene and follow-up.
Nearshore Teams
Dedicated LATAM talent on your team at nearshore cost.
AI Workforce Infrastructure
The full operating layer for AI-native GTM and ops.
Not sure which pod to start with? Talk to a real strategist, a person, not a bot, and we'll scope the motion and the enablement cadence.
Talk to a personWhy do AI-native companies need a different workforce model?
Because your buyer journey, product cycle, and unit economics are different. Your buyers don't want to talk to traditional SDRs; your CS team has to explain capabilities that didn't exist six months ago; your roadmap moves weekly. A general staffing or BPO playbook breaks against AI-native motion. We build GTM and CS teams that ship at AI-company speed and speak the product fluently.
What does an Gracemark AI GTM team actually look like?
A blended squad: nearshore humans who are AI-fluent (former AI ops, ML PMs, technical CSMs, AI-literate SDRs) paired with our AI agent stack for research, sequencing, technical answers, and CRM hygiene. Pods cover Founder-Led Sales support, AI-native SDR, Technical Sales / Solutions, AI Customer Success, AI Onboarding, and Community / DevRel ops.
How fast can we deploy?
Founder-Led Sales support and SDR pods: 21 days. Technical Sales / AI CS pods: 30–45 days due to deeper product enablement. We do not pilot, week one of deployment is real, supervised work, and we go live under SLA.
Are your operators technical enough for an AI product?
Yes. Our AI-labs bench is curated specifically for AI-native deployment: people who have worked on or sold AI products, can read a model card, understand prompt patterns, RAG, evals, and the difference between an agent and a workflow. We co-sell with the founder, not around them.
We already use Clay, Apollo, Gong, and 8 other tools. How does this fit?
We meet your stack. The pod runs inside your tools and our AI agents orchestrate across them. Most AI companies discover the bottleneck is not 'more tools' but the human capacity and operating cadence to actually use what they have. We bring both.
Can you handle Founder-Led Sales without taking it from the founder?
That's the design. Founder-led pods absorb everything except the conversation that has to be the founder: research, sequencing, follow-ups, demo logistics, CRM, post-call summaries, multi-thread account expansion. The founder keeps the room, we run the motion behind it.
How do you handle the speed of our roadmap?
Weekly enablement cadence built into the pod. New feature ships Monday, pod is trained by Wednesday, pitch and CS playbooks updated by Friday. AI agents pick up release notes automatically; humans confirm and adapt the conversation.
What does this cost?
Flat monthly per pod. Materially cheaper than building a US sales/CS org and dramatically faster. The honest reason most AI labs pick us: founders want to write code and ship product, not run a recruiting pipeline for the next 18 months.
Get back to shipping product.
60-minute working session. We map the motion, scope the pod, design the enablement cadence. Pricing on the call.
60-minute working session · NDA on request · Founder-friendly