Now onboarding AI native and modern SaaS companies

Building the operating teams behind SaaS and AI-focused companies.

AI Automation. GTM and Revenue Ops. Outbound Execution. Vetted operators deployed in seven days. Built around your stack, your stage, and the work that is bottlenecking your product right now.

Remote first
Dedicated operators sourced globally for the role, never for the rate.
Monthly retainer
Flat fee per operator. No setup costs. No long term contracts.
30 day fit guarantee
Full operator replacement at no cost if the match is not right.
The Layer Protocol™
Six gates that filter 200 candidates down to two finalists.
The real problem

The bottleneck usually isn't growth. It's execution.

Your roadmap isn't blocked because the idea is weak. It's blocked because the founder, the head of ops, or the GTM lead is still duct taping the systems that should already be owned by someone else.

CRM workflows are quietly breaking. Pipeline stages, routing, attribution, reporting. The system needs an owner before the data becomes unusable.
Automation lives in someone's head. Make, n8n, Zapier, AI workflows. Useful until one thing breaks at 9pm and no operator is responsible for fixing it.
Outbound exists, but barely. Clay lists, Apollo sequences, daily execution. None of it gets fixed by another strategy doc. It gets fixed by an operator.
What we build

Three execution teams. One operating layer.

Every operator we place owns a specific function in the operational layer of a modern SaaS company. Specialists who run the systems that move your product forward.

CATEGORY 01
AI Automation Teams
Operators who build and maintain the AI execution layer around your product. Workflows, agents, integrations.
Roles within
n8n and Make.com workflow builders
Zapier specialists and API integrators
Workflow architects
Chatbot and conversational AI operators
AI implementation specialists
CATEGORY 02
GTM and Revenue Ops
Operators who run the systems that sell your product. CRM, pipeline, attribution, the full revenue stack.
Roles within
HubSpot and Salesforce operators
Clay and Apollo specialists
Pipeline and CRM architects
Attribution and reporting operators
Revenue operations generalists
CATEGORY 03
Outbound and Pipeline
Operators who fill the top of your funnel. Outbound, sequences, infrastructure, daily execution.
Roles within
Technical SDRs
List building and data ops
Multichannel sequence builders
Outbound campaign operators
Email infrastructure specialists
The shift

The execution layer of SaaS has changed.

$140K full time RevOps hire
A dedicated remote operator at a fraction of the cost
90 days to hire, 60 days to ramp
Seven days from contract to deployed operator
In office team, fixed overhead, sick days
Distributed operating layer, built around your stack
Generalist hires owning everything badly
Specialists owning one system, deeply
Recruiter promises and unvetted resumes
A six gate protocol filtering 200 candidates to two
The teams shipping fastest in 2026 aren't the ones with the biggest in house headcount. They're the ones with the leanest operating layer.
The shift, in one sentence
How we vet

A six gate protocol that earns its name.

Most placement firms claim "pre vetted talent." We built a process worth claiming. Six gates. Each one designed to catch what the previous one missed. The shortlist you receive is what survives all six.

The Layer Protocol is our proprietary vetting system, built from two years of running ops at a remote staffing firm. Every failure pattern, every false signal, every shortcut that cost a client. The protocol is what's left after stripping out everything that didn't actually work.
Proprietary Process
The Layer Protocol
SIX GATES  /  SEVEN DAY CYCLE
Stage
0/1
Discovery and Role Specification
A 30 minute scoping call. We diagnose the role you actually need, which is often not the role you asked for. Output: a written role spec signed off by both sides before sourcing begins.
Filters out
Scope creep, fuzzy expectations, unclear success metrics.
Stage
0/2
Targeted Sourcing
Pulled from our private network, vetted talent communities, and active outbound. Never from job boards. Never from Upwork. Every candidate sourced against the spec you signed, not against a keyword match.
Filters out
Public pool candidates, recycled CVs, anyone pitching us first.
Stage
0/3
Async Screen and Verification
Resume cross checked against LinkedIn. A three minute self introduction video recorded by the candidate. Stated experience scanned against background. This stage alone removes roughly 60 percent of applicants before they take any client time.
Filters out
Inflated resumes, weak communication, mismatched experience.
Stage
0/4
Paid Practical Task The Moat
The candidate is paid to complete a real 90 to 120 minute task that mirrors the actual job. AI Automation builds a Make.com flow. RevOps configures a HubSpot pipeline. Technical SDR writes a four touch Clay sequence. No certifications. No theatre. Actual work output, reviewed personally.
Filters out
Roughly 70 percent of who is left. Including the unserious.
Stage
0/5
Three Tier Interview Sequence and Reference Check
A three step internal interview sequence, escalating from initial screen through deep technical evaluation. Two reference checks on past remote work run in parallel. No algorithms, no junior recruiters, no rubber stamps.
Filters out
Unstable setups, motivation gaps, references that do not check out.
Stage
0/6
Client Interview and Placement Decision
Two finalists reach the client interview. Never five. Two is decisive. You pick within five business days. The operator starts work within seven days of contract signing. We stay in the loop through onboarding week with check ins at Day 3, Day 7, and Day 30.
Outcome
Operator placed, onboarded, and producing within the week.
6 Gates
Each one catching
what the last one missed
100% Founder
Every protocol gate
personally signed off
7 Days est.
From contract signed
to operator deployed
2 Finalists
Never five.
Two is decisive.
If the fit isn't right

30 days.
Full replacement.
No cost.

If the operator we place isn't the right match within the first 30 days, we replace them at no cost. Full resource, full revet, full replacement. You pay nothing extra. We absorb the cost of the miss.

It is the most aggressive guarantee in this category, and we offer it because the Layer Protocol screens hard enough that we rarely use it. The guarantee exists to make the decision easy on your side. The screening exists so we don't have to use it on ours.

30 days, not 7, not 14. Enough time to actually know.
Full replacement at no cost. Not a partial refund or credit.
Month to month retainer. Cancel anytime. No lock in.
The founder owns the replacement personally. Not handed off.
How pricing works

Flat monthly retainer. No surprises.

Every operator we place is billed as a flat monthly retainer. Covers vetting, placement, and ongoing relationship management. Retainer ranges are scoped on the call based on role seniority and depth.

Four principles, zero surprises
What you pay, what you get, and what stays the same forever.
No setup fees
01 STRUCTURE
Flat monthly retainer
One transparent fee per operator. Covers vetting, placement, and ongoing account management. No line items.
02 COMMITMENT
Month to month
No annual contracts. No multi quarter lock ins. Cancel any month with 14 days notice.
03 SETUP
Zero setup fees
No placement fees. No onboarding fees. No vetting fees. The retainer is the price. Everything else included.
04 RISK
30 day fit guarantee
Full operator replacement at no cost if the match isn't right in the first 30 days.
Fit qualification

Who we build for. And who we don't.

We're a specialized firm, not a general staffing service. Our model is built for a specific kind of company. Honest about who fits, and who doesn't.

We work best with

AI native and AI enabled SaaS companies.

  • Companies building with AI at the core. AI agents, AI augmented platforms, AI tooling, AI first SaaS products.
  • Teams shipping velocity. Founders past the stage of personally running automation, GTM, and outbound execution.
  • Operationally serious. Modern stacks, hiring on speed, expanding the ops layer as the product scales.
  • Buyers who buy decisively. Short sales cycles, clear briefs, fast onboarding.
Probably not the right fit

If AI isn't core to what you're building.

  • If your business isn't directly connected to AI, building it, operating around it, or integrating it deeply, we're a different model than what you need.
  • If your hiring lens is purely cost, we're not the cheapest option in the category and we don't pretend to be.
  • If you want to interview twenty candidates per role, our protocol delivers two finalists, not a directory.
  • If you need an in office team, we're remote first. Different operating model, different firm.
Common questions

Direct answers. No runaround.

/01
How is this different from hiring on Upwork or Toptal?
Upwork is a marketplace of freelancers. Toptal is a vetted platform for project work. We're a different category entirely. We place dedicated full time remote operators on a monthly retainer, vetted through a six gate proprietary process, with replacement guarantees and ongoing account management. You're not hiring a contractor. You're embedding an operator who reports to you full time.
/02
Where is the talent based?
We source globally, wherever the right operator for the role is. Some roles need US aligned timezone overlap and we source LATAM or Eastern Europe. Some benefit from APAC depth and we source South or Southeast Asia. The match matters more than the map. We scope timezone requirements on the discovery call.
/03
What if the operator doesn't work out?
Inside the first 30 days, we replace them at no cost. Full resource, full revet, full replacement. That's the fit guarantee. After 30 days, we typically know if the match is solid. Most of ours run far past the guarantee window because the Layer Protocol filters hard at the front end.
/04
How long does it take to get an operator deployed?
Seven business days from contract signing to operator at work. The Layer Protocol runs in parallel. Sourcing, screening, and the practical task happen concurrently after the discovery call. You'll see two finalists in your inbox by day 5, decide by day 7, and the operator starts work the same week.
/05
Why don't you publish pricing on the site?
Retainer ranges depend on role seniority and scope. A published average wouldn't reflect your actual situation. We scope pricing transparently on the call. No bait and switch. No upcharges. The number you hear is the number you pay.
/06
Do you place engineers or technical product roles?
No. We deliberately don't place ML engineers, AI researchers, data engineers, or technical product managers. Those roles require a vetting depth we don't claim to have, and we'd rather refuse the work than overpromise it. We staff the operating layer around the product, not the engineering inside it.
/07
What's the scoping call actually like?
Fifteen minutes. No deck, no pitch, no follow up sequence. We diagnose the role you actually need, often different from the one you described, tell you whether we can place it credibly, and if so, what the retainer range looks like. If we're the wrong fit, we'll say so on the call.
/08
What does the onboarding rhythm look like?
Day 0 we set up shared Slack and run a kickoff call. Day 3 and Day 7 we check in personally on operator performance. Day 30 is the formal fit guarantee checkpoint. Monthly thereafter, light touch check ins to surface risk early and find expansion opportunities. We don't disappear after placement.
Take the next step

Stop patching the operating layer yourself.

If your team is shipping product faster than it can hire the people who keep the systems running, that's the problem we solve. One conversation, fifteen minutes, no deck.

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