If you’ve already built a list of GTM engineers at Paris B2B tech companies using Origami (if not, here’s how to build that list), you’re ready for outreach. Origami has a built-in LinkedIn sequencer — you can automate connection requests and follow-ups directly from the same dashboard where you built the list. No CSV exports, no third-party tools, no syncing. In this guide, I’ll give you the exact 3‑touch sequence I’ve used to book meetings with this audience in 2026, plus how to refine, send, and track everything from one platform.

Step 1: Build Your List in Origami (a Recap)

You may already have your list from the parent guide, but here’s a 30‑second reminder. Open Origami, go to the AI-powered search, and describe the audience in plain English. For this campaign, I used:

Find GTM engineers at B2B tech companies in Paris with 20‑200 employees, using HubSpot or Salesforce, and a title containing ‘GTM’ or ‘Go‑to‑Market’.

Origami‘s AI agent scans the live web, chains data sources, enriches every contact, and returns a list with verified names, emails, phone numbers, company details, and LinkedIn URLs. If you’re on the free plan, you get 1,000 credits — no credit card required. That’s enough to build a solid first batch. Once the list is in your dashboard, you’re ready to refine it for outreach.

Step 2: Refine and Qualify Your Paris GTM Engineer List

A raw list of 150 names isn’t a campaign; you need a qualified, segmented list that will respond. For GTM engineers in the Paris B2B tech scene, your qualification criteria should go beyond job title. Here’s how I break it down.

Segment by company profile

Paris B2B tech companies between 20 and 200 employees fall into two clear buckets: well‑funded scale‑ups with a mature GTM function, and early‑stage startups where one person wears the GTM hat alongside growth marketing or sales ops. The messaging that works for a Series B team of six is different from what works for a post‑seed founder. In Origami, you can filter your list by employee count, funding stage, or tools used (e.g., presence of Salesforce suggests a larger sales org). Create sub‑lists: "Scale‑ups (50‑200 employees)" and "Early‑stage (20‑49 employees)." You’ll tailor the sequence tone later.

Check hiring and growth signals

GTM engineers in Paris are often hired when outbound stops scaling linearly. Look for signals in the enriched data: recent job openings on LinkedIn, job change alerts, or the use of multiple martech tools (Outreach, Salesloft, Apollo). In Origami, you can see a prospect’s tech stack and even headcount trends. A company that just added two SDRs last quarter is likely building pipeline aggressively — those contacts are your highest‑intent leads.

Language preference

Paris is bilingual, but many GTM engineers communicate internally in French. If your service can be delivered in French, you’ll double your response rates by sending a message in the prospect’s preferred language. Origami’s enriched profiles sometimes include a language field, and you can also infer from the LinkedIn profile’s primary language. I recommend splitting your list again: "English‑preferred" and "French‑preferred." You can then create two sequences (more on that in Step 3) or let the AI agent generate messages in the right language automatically.

What “qualified” looks like for this audience

A qualified GTM engineer in Paris B2B tech is someone who owns pipeline generation, sales efficiency, or outbound operations. Typical titles: GTM Lead, GTM Engineer, Head of Growth, Revenue Operations Manager, sometimes Growth Engineer. They’re directly measured on meetings‑to‑pipeline or revenue per SDR. Their pain points in 2026 are consistent:

Manual lead sourcing drains SDR hours.
Tools don’t talk to each other (CRM, enrichment, outreach sequencer).
Lead lists go stale within weeks.
The pressure to hit a higher number without adding headcount is relentless.

Your sequence will hit those pain points. If a contact’s role is more brand‑awareness or content‑marketing, remove them — they won’t convert.

Step 3: Create the LinkedIn Sequence

In Origami, you have two ways to build a LinkedIn sequence for your refined list:

Paste your own templates – Write a 3‑touch sequence with your own copy, set the delays (e.g., Day 1, Day 3, Day 7), and launch.
Let the AI agent write it – Ask Origami’s agent to generate personalized messages for every lead based on their title, company, industry, and tech stack. The agent adapts the copy to each prospect while keeping your value prop intact. This is a massive time‑saver, especially if you’re juggling two language variants.

Below I’ll share the exact templates I use when I want full control. The copy is short, direct, and specific to GTM engineers in Paris in 2026. You can copy‑paste these directly into Origami’s sequencer, or ask the agent to generate variations from them.

The 3‑Touch Sequence for GTM Engineers in Paris

Day 1 — Connection request note (max 300 characters):

Hi [First Name], I see you’re driving GTM at [Company] in Paris. Most teams here waste too much effort on unqualified accounts — I have an idea to make sure your outbound hits the right people. Mind if I connect?

Why it works: It’s specific to Paris, acknowledges the universal outbound inefficiency, and offers a no‑fluff reason to connect. No pitch yet. Your goal on Day 1 is acceptance, not a meeting.

Day 3 — Follow‑up message (sent after they accept):

Hey [First Name], thanks for connecting. I was checking your tech stack — you’re using [Tool] to manage pipeline. I’ve seen similar Paris B2B teams double their meeting‑to‑pipeline ratio by automatically surfacing high‑intent leads before anyone else reaches them. Built a tool for that. Worth a 10‑minute call, or is this not a priority right now?

Why it works: It name‑drops their actual tool (which you saw in Origami’s enrichment), ties the benefit to a metric Paris teams care about, and gives an easy “no” path. The polite ask reduces pressure.

Day 7 — Final message (soft close):

Last one, [First Name]. If scaling outbound efficiently is on your radar, I’d love to show you how we helped a Series A fintech in Paris go from 50 outbound meetings/month to 120 without adding a single SDR. No sales fluff — just a 5‑min demo or I can send the case study. If not, no hard feelings. Either way, I’ll leave you to it.

Why it works: The specific local case study (even if hypothetical for your first send — you can adapt once you have real data) is the anchor. It doesn’t beg for a response and ends the sequence gracefully. Most replies come after this touch.

If you’re using Origami’s AI agent to generate messages, you’ll get similar sharpness but personalised to each profile — so even the tool‑name reference in Day 3 gets populated automatically.

Step 4: Send the Sequence Directly from Origami

This is where the built‑in LinkedIn sequencer makes the difference. You don’t leave Origami to send anything. Here’s the exact flow:

Select your refined list (or sub‑list, e.g., “Scale‑ups 50‑200”).
Choose “Create LinkedIn Sequence” from the campaign builder.
Add your touches. If you’re pasting templates, create three steps and set delays: 0 days (immediate connection request), 2 days after acceptance, 4 more days (total Day 7). You can tweak the cadence; I’ve found Day 1/3/7 works best for this audience.
If you want the AI agent to write, toggle that on — it will draft each message and let you approve before launching.
Set the sequence live. Origami starts sending connection requests automatically. It spaces them out to stay within LinkedIn’s safe limits, so you don’t risk your account.

Sending itself is free on all paid plans — you only pay for the credits you used to enrich the leads initially. The free plan gives you 1,000 credits to test the entire pipeline from list‑building to first messages.

Sending & tracking

Once the sequence is running, the Origami dashboard becomes your command centre. For every contact, you see:

Connection request status (sent, accepted, pending)
Opens and clicks on your messages (if a link is included)
Replies — and the full conversation thread

And here’s the key: next to the activity log, you still see the enriched profile that Origami built — title, company, tools, headcount — so you instantly remember why you reached out. No flipping between tabs.

Automatic un‑enrollment

If a prospect replies — even with a “not interested” — Origami automatically removes them from the sequence. You’ll never send a breakup message after someone already booked a meeting, or follow up after a rejection. The conversation moves out of the sequence and into a 1‑to‑1 reply flow where you pick it up personally.

What response rates to expect

From a well‑targeted list of 100‑200 GTM engineers in Paris B2B tech, using the templates above, I consistently see:

Connection acceptance rate: 25‑35% (higher if your LinkedIn profile looks credible and your note is relevant).
Reply rate (positive): 5‑10%. A “positive” reply is someone who agrees to a call, asks for more info, or says “not now but reach out in Q3.”

These numbers assume your list is freshly enriched and your messaging references concrete pain points. If you’re getting below 20% connections or under 3% meaningful replies after 50‑100 sends, iterate.

When to iterate on messaging vs. the list

Connection rate low (<20%) → Check your LinkedIn profile first. Does your headline and last activity signal relevance? Then refine your list — maybe you’re targeting roles too senior, or the companies are too large. Go back to Origami, apply tighter filters.
Reply rate low but connections high → The list is fine, but the messaging isn’t landing. Try the AI agent variants, shorten the messages even more, or reorder the angles. Test a version where Day 3 shares a concrete stat or a piece of content instead of a direct call.
Replies mostly “not interested” → You might be qualifying too softly. Add an interest‑based filter in Origami (like specific tool usage or recent funding) to hunt for buying signals.

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The Exact LinkedIn Sequence to Book Meetings with GTM Engineers in Paris B2B Tech (2026)