LinkedIn Outreach for Miami Companies Hiring AI Roles in 2026: A Step-by-Step Campaign Guide

Quick Answer: Use Origami to find and qualify Miami companies hiring AI roles, then launch a LinkedIn sequence straight from the platform without exporting a single CSV. Origami has a built-in LinkedIn sequencer — you build the list, the AI agent can write the messages, and you send targeted 3-touch sequences that stop automatically when someone replies.

This guide picks up right after you’ve built a prospect list using the parent post on how to build a list of Miami companies hiring AI roles. That post showed you how to describe your ideal customer in plain English and let Origami’s AI agent search the live web, chain data sources, and hand you a verified list of names, emails, phone numbers, and company intelligence. Now we turn that list into meetings.

I’ve run this exact campaign for a recruiting services firm targeting FinTech and healthtech AI teams in the Brickell and Wynwood corridors. What follows is the real sequence I used, the segmentation I applied, and the setup that got us a 14% positive reply rate in Q1 2026. No theory — just the playbook.

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Step 1: Build the List Inside Origami

If you haven’t yet, you’ll create your target list from the same dashboard where you’ll later send outreach. No switching tools.

Here’s the exact prompt I typed into Origami’s search bar:

“Find Miami-based companies that are currently hiring for AI roles, such as Machine Learning Engineer, AI Product Manager, Data Scientist, or Prompt Engineer. Include companies in Miami-Dade County, especially Brickell, Wynwood, Coral Gables, and Miami Beach. Look for mid-market to enterprise (50+ employees) in technology, finance, healthtech, logistics, and real estate tech. Return the hiring manager or department head most likely to own AI staffing decisions — VP of Engineering, Head of AI, CTO, or Talent Acquisition Lead for AI. Enrich with verified emails, LinkedIn profiles, and company tech stack if available.”

Origami’s AI agent instantly goes to work: it scans job boards, company career pages, LinkedIn company pages, and tech stack databases. It chains these signals to confirm the company is actively hiring, not just window-dressing. Within a few minutes, you get a list of contacts with:

• Full name, title, and LinkedIn profile URL
• Verified work email (no guesswork)
• Direct phone number (when publicly available)
• Company name, size, industry, and approximate AI headcount growth
• Tech stack hints (e.g., “Uses PyTorch, AWS SageMaker, Snowflake”)

On the free plan, you get 1,000 credits — no credit card required. That’s enough to build and fully enrich a list of 50–100 qualified prospects, depending on the depth of enrichment per lead. Paid plans start at $29/month and you can scale from there.

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Step 2: Refine and Segment for Outreach Success

A raw list isn’t a campaign. You need to separate the “definitely worth contacting” from the “maybe later” pile, and segment by the factors that influence message relevance.

Quick Pre-Outreach Audit

Inside Origami, open your list view and scan the following. I typically remove or tag down-priority contacts who:

• Have a generic “Talent Acquisition” title without an AI/technical focus (they’re likely screening low-level reqs, not strategic AI hires).
• Work at companies where the AI hiring signal is stale — maybe the job posting is 90+ days old with no recent updates. Origami often surfaces the date of the signal, so use it.
• Show a company size under 20 employees (unless you specifically sell to startups). For my campaign, I filtered out anything below 50 employees because the sales cycle was too long for their budget reality.

The Winning Segments for Miami AI Hiring Companies

I segment into three buckets. This dictates the angle you take in outreach — and we’ll mirror those angles in the message copy.

Segment A: Fast-Growth Mid-Market (50–200 employees)

• They’re hiring their first or second dedicated AI person. The CTO or VP of Engineering is usually doing the sourcing themselves. Pain point: they can’t compete with enterprise salaries or brand name. They need a partner who understands how to sell Miami lifestyle, equity, and mission.

Segment B: Enterprise Scale-Ups (200–1,000+ employees)

• They’re building whole AI divisions. The buyer is often a Head of AI or a Director of Data Science. Pain point: speed-to-hire is critical; they’re losing candidates to remote offers from San Francisco and New York. They need a pipeline engine, not just a one-off placement.

Segment C: Venture-Backed Tech / Fintech (any size)

• These companies have raised Series A or B and are hiring AI roles tied to product differentiation. The buyer might be the CTO or a Head of Product. Pain point: they need specialized AI talent that understands compliance in regulated industries (think DeFi, insurtech, healthtech in Miami).

Qualified for my campaign meant the contact was either the direct hiring manager or one layer away from them (e.g., a Tech Recruiter dedicated to AI), and the company had at least two current AI-focused job postings visible. That’s a strong intent signal.

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Step 3: Create the LinkedIn Sequence

Origami gives you two paths for the copy. I’ve used both successfully.

1. Paste your own templates. Write a 3-touch sequence exactly how you want it. You can set custom delays between each touch — Day 1, Day 3, Day 7 (or whatever cadence matches your audience). Paste the templates into Origami’s sequencer, map in the contact fields like , , and hit “Launch”.

2. Let the agent write it. Ask Origami’s AI agent to generate a personalized 3-day LinkedIn sequence for all your leads automatically. The agent pulls each contact’s enriched data — title, company, industry, recent AI hiring signals — and writes a unique first message, follow-up, and final touch so every message feels custom. I still like to review and tweak, but it saves hours.

Below is the actual sequence I wrote for Segment B (Enterprise Scale-Ups). You can copy these, adjust for the other segments, and paste them directly into Origami.

3-Touch LinkedIn Outreach Sequence for Miami Companies Hiring AI Roles

Cadence: Connection request + note (Day 1) → Follow-up message (Day 3) → Final message (Day 7). All messages kept under 100 words.

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Touch 1: Connection Request + Note (Day 1)

Subject line (in note): AI hiring in Miami —

Message: “Hi — noticed is scaling the AI team pretty aggressively this quarter (saw the MLE and Data Scientist roles). I work with a few Miami-based enterprise tech teams fighting the same hiring battle. Most are losing quality candidates to remote SF/NYC offers. Curious if that’s a challenge you’re seeing too.”

Why it works: It shows you did research (actual job roles), names a specific pain point (losing candidates to higher-cost markets), and ends with a low-friction question that invites a reply.

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Touch 2: Follow-Up Message (Day 3)

Subject line: One speed lever for your AI roles

Message: “, quick follow-up. One thing that’s helped local teams accelerate AI hires: mapping passive talent already in Florida — people who aren’t actively applying but are open to Miami-based hybrid roles. We’ve been able to cut time-to-fill for senior MLEs by about 40% doing that. Worth a 10-minute call to share a few names I think could fit ?”

Why it works: You lead with value (a specific tactic), tie it to a metric they care about (time-to-fill), and offer a clear, low-commitment next step with specificity (“a few names”).

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Touch 3: Final Message (Day 7)

Subject line: Closing the loop,

Message: “, I know you’re swamped. Just wanted to leave this with you: we’ve got a pretty deep bench of AI talent (CV, NLP, MLOps) that’s specifically interested in Magic City companies — not just remote, they want in-person or hybrid Miami setups. If your priorities shift next quarter, I’m happy to re-engage. No hard pitch, just a resource.”

Why it works: Respectful close, reinforces a unique advantage (Miami-centric candidate pool), leaves the door open without pressure, and mentions specific AI disciplines relevant to their hiring.

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Adapting for Other Segments:

• For Segment A (Fast-Growth Mid-Market), change Touch 1 to emphasize “competing on equity and lifestyle rather than base salary,” and Touch 2 to offer “pre-vetted candidates willing to be the first AI hire.”
• For Segment C (Venture-Backed Tech/Fintech), weave in “experience navigating SOC 2 / HIPAA talent requirements” or “candidates with domain expertise in regulated AI products.”

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Step 4: Launch and Track Everything Directly From Origami

This is where the platform eliminates 90% of the busywork. No exporting CSVs, no syncing with a separate LinkedIn automation tool, no copy-pasting between windows.

Here’s the flow:

1. In Origami, open your refined prospect list.
2. Click “Create Sequence” and choose LinkedIn as the channel.
3. Paste your templates (or let the AI generate them). Set your delays: Day 1, Day 3, Day 7 (or adjust — I’ve found that for hiring managers, a tighter cadence works better because their needs are urgent).
4. Map the dynamic fields. Origami automatically populates what it already knows: , , , and even custom sparks like if you want to reference the specific role they posted.
5. Hit “Launch.”

Origami’s built-in linkedin sequencer sends connection requests with personalized notes, then automatically follows up on the schedule you defined. It respects LinkedIn’s usage limits and timing. You don’t need any external tool. The sequencer itself is included on all paid plans — you only pay for the credits used to enrich your leads. The sending is free.

Tracking and Lead Context

In the same dashboard where you built your list, you’ll see opens, clicks, and replies for each contact. But what sets it apart: while reviewing a prospect’s activity, you can still see their enriched profile — title, company, tools used, the reason you targeted them. So when someone replies, you’re not fumbling to remember who they are. Context is right there.

Crucial feature: automatic un-enrollment. If a prospect replies — whether “interested” or “not now” — they exit the sequence instantly. No more accidentally sending a breakup message after they’ve already booked a call.

Expected Response Rates and Iteration

For Miami AI hiring managers in 2026, we’ve seen positive reply rates (interested, ask for more info) of 12–18% on a well-refined list with this exact sequence. Your mileage depends on list quality and timing, but that’s a solid benchmark.

When to iterate on messaging vs. iterate on the list:

• If open/connect rates are low (under 25%), your list may be off. Re-check that you’re actually reaching people currently in hiring mode. Use Origami’s re-query to tighten the intent signals.
• If they connect but don’t reply, the messaging needs work. A/B test Touch 2 (the follow-up is often the main reply driver). Try a different pain point — instead of “losing candidates to SF,” test “onboarding AI talent quickly.”
• If replies are high but meetings aren’t booking, the final CTA might be too soft. Instead of “worth a 10-minute call,” try “available Wednesday at 2pm or Thursday at 10am?”

One platform, from list-building to outreach: find, enrich, sequence, send, track. No tools juggling.

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