Do you place non-AI marketers (Lifecycle, Brand, classic Paid)?

Yes. AI-native marketers are our lead, but classic Lifecycle, Brand, Performance, Editorial, Field marketers are on the same bench.

How do you vet for AI-content judgment?

We run a briefed writing sample with LLM-augmentation allowed; we screen for content that does not have the LLM-fingerprint smell.

What does it cost to hire a US marketer through Aperturio?

$10,000 flat per direct hire — same fee whether the role is a $90K content lead or a $200K Head of Marketing. No retainer, no seats.

AI-Native Marketing & Growth · US

Add AI-native US growth talent without the agency markup.

Vetted US marketers and marketing-ops pros who ship with LLM-driven workflows — AI content ops, AI SEO/GEO, prompt-engineered growth, RevOps + automation. Full-time or fractional. Pay only when you hire.

Start a hire →Request sample profiles

Full-time or fractional · $10,000 flat per hire · A real recruiter reviews every candidate

AI-native roles · what we lead with

Prioritized for who you are and where you're going.

AI Content Operator

Runs LLM-driven content systems end-to-end — briefs, drafts, edits, evals. Knows when an LLM helps vs. when it produces generic mush. Treats prompts and content templates like product code.

The role replacing the 4-person content team for AI-native startups.

AI SEO / GEO Operator

Owns both search and AI-answer visibility — schema, internal linking, topical authority, plus appearing in Perplexity / ChatGPT / Claude / Gemini responses. Reads server logs, not just GSC.

GEO (generative engine optimization) is now a distinct discipline from classic SEO.

Product Marketing (PMM)

Positioning, messaging, ICP, launch, sales enablement — for AI products specifically. Knows how to write about LLM features without overpromising.

Performance / Growth

Paid social/search, CAC/LTV modeling, CRO. Uses LLM tooling for ad copy, audience research, and creative iteration. Ships A/B tests in v0 / Framer.

Marketing Ops + AI Automation

HubSpot / Marketo + LLM-augmented workflows (lead scoring, segmentation, lifecycle copy). Builds with Clay, n8n, Inngest, or custom scripts when needed.

Increasingly looks more like a workflow engineer than a marketing ops admin.

Heads of Marketing / Growth

Cross-functional leader who owns the AI-native GTM stack. Sets eval discipline for content, prompts, and AI-touched customer journeys. Hires the team.

Also placing — classic, non-AI roles

Not every role needs an LLM. We still place the classic tracks on the same bench, same human review, same per-hire model.

Lifecycle / CRMEmail/SMS journeys, segmentation, nurture, retention.
Brand / CommunicationsVoice, identity, PR, comms — not LLM-augmented.
Performance / Paid (classic)Paid social/search, CAC/LTV modeling, CRO — without the LLM tooling layer.
Content / Editorial (human)Long-form, ghostwriting, thought-leadership writing — by humans.
Field / Event MarketingConferences, dinners, partner events, in-person community.
AnalyticsGA4, Looker / Data Studio, dashboards, experimentation cadence.

We vet

Beyond the resume.

Culture screening, AI-assisted skills assessment, expert human review. A real recruiter signs off before any candidate reaches you.

AI-content judgment

Can defend when an LLM helps vs. dilutes. Has shipped evaluated content systems, not just "wrote with ChatGPT".

GEO + SEO depth

Schema, internal linking, topical authority, AI-answer visibility, brand mention tracking across Perplexity / ChatGPT / Claude.

Brand voice & clarity

Writing test with tone / brief alignment — and a sample of LLM-augmented work without the LLM-fingerprint smell.

Ops + automation fluency

HubSpot / Marketo / GA4 / Looker + Clay / n8n / Inngest / custom scripts. Builds the workflow, not just operates the dashboard.

Data literacy + experimentation

KPI trees, experiment design, readouts, next steps. A/B against LLM-generated variants without fooling themselves.

Stage fit

A great Series B marketer is a terrible Seed marketer. We screen for the stage and the AI maturity you're at.

Outcomes we drive

Content systems that scale without losing brand voice
Visibility across both Google and AI-answer engines
Faster GTM cycles with AI-augmented experimentation
Marketing ops that operates more like an engineer than an admin
A marketing org built for the AI-native era, not the 2020 SaaS playbook

Sample profiles

Representative of the bench — share your requirements for live profiles.

Maya K.

Head of AI Growth (FT)

Series A AI SaaS · runs LLM-driven content + SEO + GEO · 2 prior 0→$10M ARR builds · evals + dashboards over vibes.

Daniel R.

AI SEO / GEO Operator (FT or fractional)

B2B + B2C · schema + topical authority · tracks brand mentions across Perplexity / ChatGPT / Claude · server-log fluent.

Priya S.

Marketing Ops + AI Automation Lead (FT)

HubSpot/Marketo admin · Clay + n8n workflows · LLM-augmented lifecycle · MQL→SQL hygiene · SFDC sync.

New in 2026

Now callable via /hire in Slack.

Same vetted US bench. New way to brief a role. Type /hire in Slack — or any MCP-connected tool — and our sourcing agents plus human recruiters take it from there. Same $10,000 flat-per-hire model.

How /hire works →For agentic teams

Add the AI-native marketer. Keep your week.

Start a hire →Talk to us

Common questions

Do you place non-AI marketers (Lifecycle, Brand, classic Paid)?: Yes. AI-native marketers are our lead, but classic Lifecycle, Brand, Performance, Editorial, Field marketers are on the same bench.
How do you vet for AI-content judgment?: We run a briefed writing sample with LLM-augmentation allowed; we screen for content that does not have the LLM-fingerprint smell.
What does it cost to hire a US marketer through Aperturio?: $10,000 flat per direct hire — same fee whether the role is a $90K content lead or a $200K Head of Marketing. No retainer, no seats.