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AI Implementation Consultant and Partner Coach

Hiring evidence involving AI agents and agentic workflows, n8n. First observed 3 Sept 2026; the response opens on aiscaling.ai.

Budget
Not provided by source
Work format
Hiring
Observed
3 Sept 202610 days old
Response destination
aiscaling.ai

Source job details

Structured facts are published only when supplied by the source; missing values are never invented.

Hiring organization
AI Scaling, LLC
Source reference
OPP-20260903-479
Location evidence
Worldwide remote; operating window in US Eastern Time
Employment type
full time
Required skills
AI agents, CRM architecture, n8n/Make/Zapier, GoHighLevel, HubSpot, Airtable, Notion, Monday.com, Slack, B2B sales workflows
Expected duration
Full-time Monday–Friday; eight-hour shift within 9:00 a.m.–9:00 p.m. Eastern Time

What this signal says

The observed opportunity titled “AI Implementation Consultant and Partner Coach” enters this catalog as a market signal with a traceable source. Leadiy does not republish the original description. Instead, it separates a few decision-grade facts from the private operating record and adds context from the same demand dataset. That boundary matters: the public edition can help a developer or agency assess relevance, while the source remains responsible for complete requirements, eligibility, current status and the actual response flow. Any fact not shown here should be checked at that destination.

How the technology was normalized

This record contributes to the normalized topic set AI agents and agentic workflows, n8n. The mapping is evidence-based and intentionally conservative. It looks for named technology terms in the public-safe opportunity fields, resolves aliases, then checks any combination as a set of requirements rather than a loose keyword. This makes the page discoverable under stable technology hubs without pretending that a tag replaces technical due diligence. The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.

Commercial format

The current format label is Hiring, meaning an employment-oriented search for an individual contributor or team member. Leadiy uses this shared taxonomy so technology hubs can show whether demand arrives as delivery work, capacity, procurement or employment. Classification does not resolve contract law, worker status or platform terms, and it should not be read as an endorsement of eligibility. A timing signal is present as “Budget not provided by source; official application remained live on 2026-09-03,” but the source should be checked before treating it as a live deadline.

Reading the budget

No budget value was supplied in the imported source record. The page labels this plainly as “Budget not provided by source” so publication status cannot be confused with compensation coverage. An absent figure is not converted into zero and is not inferred from neighbouring opportunities. The original destination remains the authority for price, salary, rate unit, fees, milestones and any later updates.

Demand context from Hiring Pulse

In the current 30-day Hiring Pulse, n8n appears in 161 of 1213 observed opportunities (13.3%). Counts are multi-label, so one opportunity may contribute to several technology buckets. Hiring Pulse is the contextual layer Leadiy adds beyond aggregation. It places the record against a verified observation window while keeping counting rules visible: technologies can overlap, the feed is not a census, and sparse groups are not disclosed as exact numbers. This evidence can support prioritization, not a forecast. The record still needs source-level verification, and the aggregate view deliberately omits direct leads, personal information, private outreach content and arbitrary micro-segments that could reveal too much.

Observation and publication timing

Timing here is explicit: observed by Leadiy on 3 Sept 2026, 10:29 UTC, 10 days old at the current request, then admitted to the public catalog after 32.04 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.

What looks similar

To build a useful neighbourhood around this record, Leadiy compares normalized technology IDs and favours the strongest overlap among pages that have already cleared the public delay. The current result is: "Automation & Systems Lead — n8n, AI agents and Slack", "AI Agent Developer — n8n, LangGraph, FastAPI and RAG", "AI-powered video editing pipeline with n8n, Claude, Whisper and ElevenLabs" This method makes relationships inspectable and avoids copying descriptive text from the source. Similarity means shared technical vocabulary, nothing more. It does not assert shared ownership, equal scope, equivalent seniority or an identical application process, and it can evolve as later records become publicly eligible.

Where the response goes

This page’s action route is explicit: it opens AI Scaling careers / n8n Community on aiscaling.ai. Leadiy provides context and provenance, not an application proxy. A click can therefore lead to a third-party login or proposal workflow governed by that service’s own privacy, eligibility and payment rules. The public catalog never replaces those instructions and never publishes a hidden email address as an alternate route. Review the destination hostname, confirm that the opportunity is still active, and respond only through a path you trust.

Public evidence versus earlier access

Leadiy sells timing, not a different truth: the same opportunities, one day earlier. Subscribers receive the fresh matched feed and private workflow before a record crosses its public time fence. The later page remains complete enough to stand alone, with provenance, classification, budget reading, aggregate context and related records. Subscription is not preferential treatment from the buyer, and it cannot guarantee availability or success. It is earlier awareness plus an operational workspace; the public catalog is the delayed evidence layer.

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