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The LinkedIn Outreach Playbook for US Startups Hiring AI Engineers (2026)

Step-by-step guide to running a 3-touch LinkedIn campaign targeting US startups hiring AI engineers and data scientists, with copy-paste sequence templates and Origami's built-in sequencer.

Charlie Mallery
Charlie MalleryUpdated 12 min read

GTM @ Origami

Quick Answer

Origami is an AI-powered lead generation and outreach platform with a built-in LinkedIn sequencer—so you can find qualified US startups hiring AI engineers and data scientists, build a targeted list, and run multi-touch campaigns from one place. Free plan gives you 1,000 credits, no credit card needed. Once your list is ready, this post shows you exactly how to refine it, write a 3-touch sequence that actually gets replies, and send it directly from Origami. No CSV exports, no third-party tools.

If you haven’t built the list yet, stop and read how to find US startups hiring AI engineers and data scientists in 2026 first. That post walks through the exact Origami prompt that pulls a fresh, enriched prospect list. This companion guide assumes you’ve got that list and are ready to turn it into booked meetings.


Step 1: Build the list in Origami (if you haven’t already)

A quick recap—skip if you already have your list in Origami.

Inside Origami, you describe your ideal prospect in plain English and its AI agent searches the live web, chains data sources, and returns a fully enriched list with names, verified emails, phone numbers, job titles, company descriptions, and even the exact job listing text when available.

Exact prompt to find US startups hiring AI engineers and data scientists:

US startups that are actively hiring AI engineers or data scientists right now. Show companies with job posts from the last 30 days, located in the United States, company size between 10 and 200 employees, using tech stacks that include Python, TensorFlow, or PyTorch. I need the contact details of the hiring manager, CTO, or VP Engineering.

Origami will return a list of hundreds of target accounts, each with:

  • First and last name of the decision-maker
  • Work email and LinkedIn profile URL
  • Direct dial or phone number (where available)
  • Job title, company name, size, industry, and technologies used
  • The relevant job posting, so you know exactly what they’re looking for

You can start with the free plan (1,000 credits, no credit card) and see the list immediately. If you need more credits, paid plans start at $29/month.


Step 2: Refine and segment the list for LinkedIn outreach

A raw list of 300 contacts isn’t an outreach campaign. It’s noise. Before you write a single message, you need to filter out poor matches and group the remaining prospects so your messaging feels surgically relevant.

What to remove

  • HR generalists and recruiters. You want the person who will own the hiring decision or manage the AI team directly. Stick to CTOs, VPs of Engineering, Heads of AI/ML, Directors of Data Science, and sometimes the CEO (if the startup is <30 people). Reject generic titles like “Talent Acquisition Manager” or “People Ops.”
  • Out-of-scope company sizes. A 5-person garage startup doesn’t have the budget for a dedicated AI hire unless they’ve raised a seed round. Conversely, a 500-person company that still calls itself a startup may have rigid processes that slow down your deal. Filter for 10–200 employees, but also glance at recent funding if Origami’s enrichment picked it up. Series A and later is a sweet spot.
  • Stale job postings. A listing that’s been unchanged for 60+ days either means they can’t fill it (desperate) or they forgot to take it down (passive). Origami often shows the job’s original post date. Prioritize those posted within the last 2–3 weeks.

How to segment

After cleaning, you’ll typically have 100–150 solid contacts. Don’t treat them all as one bucket. Segment by at least two of these dimensions:

  1. Role of the contact
    • CTO/VP Engineering: Speak to resource allocation, team velocity, architecture decisions.
    • Head of AI/Director of Data Science: Talk about sourcing technical talent, skill matching, and tooling.
  2. Geography
    • Cluster prospects by metro hub: SF Bay Area, New York, Austin, Seattle, Boston, etc. Reference local market dynamics in your messaging.
  3. Specific AI discipline
    • Separate those hiring “AI engineers” vs. “data scientists” vs. “MLOps engineers.” A CTO looking for an NLP specialist has different pain than one hiring for computer vision.
  4. Tech stack overlap
    • If Origami returned the technologies the company uses, match it against the job listing. That gives you a hook: “Noticed you run PyTorch in production—our candidates typically have 3+ years of hands-on PyTorch experience.”

What “qualified” looks like for this audience:

  • A CTO or VP Eng at a US-based startup with 10–200 employees
  • An open AI engineer or data scientist role posted less than 21 days ago
  • A specific tech requirement you can reference (Python, TensorFlow, PyTorch, Kubernetes, etc.)
  • The company has raised funding (seed to Series B) or is showing revenue growth signals—because they have urgency to hire

Once segmented, you’re ready to write sequences that talk directly to each group.


Step 3: Create the 3-touch LinkedIn sequence (with copy you can steal)

Origami’s built-in LinkedIn sequencer gives you two ways to craft your outreach:

  1. Paste your own templates – Write your own multi-touch sequence, set the delay between touches (Day 1, Day 3, Day 7—or any cadence you want), and hit “Launch.”
  2. Let the AI agent write it – Ask Origami’s AI to generate a personalized 3-day LinkedIn sequence for all your leads automatically. It uses each lead’s enriched profile data—title, company, industry, job listing text—to make every message feel custom. You can review, tweak, or approve as-is.

For the rest of this step, I’m giving you a hand-built 3-touch sequence that’s been tuned against this exact audience. Steal it, customize it, paste it into Origami.

The sequence structure

  • Touch 1 – Connection request note (Day 1)
  • Touch 2 – Follow-up message (Day 3)
  • Touch 3 – Final message with soft close (Day 7)

All messages are under 100 words. Short, no jargon, no “I hope this finds you well.” The goal of Touch 1 is a connect. Touch 2 adds value. Touch 3 creates a low-friction path to a meeting.

Replace bracketed fields with your actual personalization data. Origami can auto-populate these if you use its AI writer, or you can manually merge them from your enriched list.


Touch 1: Connection request note

Send as a LinkedIn connection request with the note below.

[First Name], saw [Company] is hiring AI engineers—tough market right now. I help seed-to-Series A startups move from job post to signed offer in half the usual time. Open to connecting?

Why it works: It acknowledges their active challenge without a pitch. The time-to-hire angle is a real pain point. It’s permission-based; you’re asking to connect, not to sell.


Touch 2: Follow-up message (Day 3 after acceptance)

Send as a direct message once connected. No subject line needed.

Hey [First Name] — thanks for connecting. I noticed [Company]’s JD for a Senior Data Scientist mentions PyTorch and MLOps experience. We keep a pool of pre-vetted folks who’ve deployed models in production on exactly that stack. Last week we placed two candidates within 10 days for a startup in Austin. If you’re still screening, I’d be happy to run a quick search for you—zero commitment. Would that be useful?

Why it works: It proves you’ve looked at their specific role. It gives a concrete example (social proof) and offers a free micro-action that costs you little. The “zero commitment” phrase lowers the guard.


Touch 3: Final message (Day 7)

Send as a direct message. This is your breakup/close.

[First Name], last touch from my side. If building out the AI team is still eating up your cycles, I think a 15-minute call would clarify whether our approach fits. If now isn’t the time, no sweat—I’ll be here when you need to scale faster. Just reply “yes” and I’ll send a calendar link. Either way, rooting for [Company]’s growth.

Why it works: It’s a soft close that respects their time. It gives a clear, low-effort next step (“reply yes”). It also ends the sequence gracefully, which builds goodwill and keeps the door open for future replies.


Customization tips for your offering

  • If you’re selling a recruiting platform instead of a service, tweak Touch 2 to frame the software as the faster way to screen candidates.
  • If you’re targeting founders (not CTOs), emphasize speed to product-market fit and burn rate, not just “time-to-hire.”
  • If you have a case study link, drop it in Touch 3 sparingly. Better yet, mention it and ask if they want the link—LinkedIn’s algorithm sometimes penalizes external URLs.

Step 4: Send the sequence directly from Origami

Here’s where the built-in sequencer shines. You don’t export the list, sync to a separate outreach tool, or fiddle with CSV mappings.

Inside Origami, you:

  1. Select the segmented prospect list you refined in Step 2.
  2. Choose your 3-touch sequence (either the one you pasted or the AI-generated one).
  3. Set the delays: Day 1 (connection request), Day 3 (first follow-up), Day 7 (final). You can configure any delay you want; 3-4-7 is a common starting point.
  4. Hit Launch.

Origami’s LinkedIn sequencer then automatically sends connection requests with your custom note. Once a prospect accepts, the system waits the delay you set and then sends Touch 2. If they don’t accept, the follow-ups won’t fire—no accidental dripping of messages to someone who hasn’t connected. (InMail is an option too if you have InMail credits, though connection requests typically perform better for this audience.)

What you see in the dashboard

  • Delivery status: Sent, accepted, rejected, pending.
  • Engagement: Opens (for InMail), link clicks, replies.
  • Prospect context: While looking at any contact’s activity, you still see their enriched profile—title, company, tools used, job listing. That means when someone replies, you can instantly recall why you reached out and what they’re hiring for.
  • Automatic un-enrollment: If a prospect replies (yes, no, maybe), Origami pulls them out of the sequence. You’ll never send a “just circling back” breakup message after someone already booked a call. That alone preserves dozens of relationships.

Expected response rates and iteration

For US startups hiring AI engineers, a well-refined list and the sequence above typically yields:

  • Connection acceptance: 35–45%
  • Reply rate (overall): 8–15% across the 3 touches
  • Meeting booked: 3–5% of total prospects

These numbers assume you’re reaching decision-makers, not generic HR, and that your message references their actual job opening. If you see reply rates below 5%, first tweak your Touch 1 note—the connection request is the biggest lever. If that doesn’t lift it, review your list; you might be targeting the wrong personas or stale listings.

You can A/B test sequences natively in Origami by creating two variations and splitting your audience. Run them side by side and let the data tell you which angle works.

And remember: the sequencer itself is free on all paid plans. You only pay for the credits you use to enrich your leads. So once you have a clean list, sending the campaign costs nothing extra.


Frequently Asked Questions