Quick Answer

You built a list of VPs of Engineering, CTOs, and Directors at scaling B2B companies using Origami – an AI lead gen platform that now includes a built-in LinkedIn sequencer. This guide shows you what to do next: refine that list for LinkedIn, steal a 3-touch outreach sequence written for their exact world, and send it all from the same platform where you built the list. No exports, no syncing, no wasted time. Start with Origami's free plan (1,000 credits, no credit card) to generate your list and queue your first campaign.

Step 1 – Build (or Revisit) Your Prospecting List in Origami

Even though you’ve already built a list – maybe using the approach from our guide on how to build a list of Engineering Leaders at Growing B2B Companies – here’s a quick reminder of how fast this step goes with Origami. If you’re new, this is what you type:

Prompt you’d enter:
Find VP Engineering, CTO, Director of Engineering at B2B SaaS companies with 50–500 employees, Series A–C funding, using AWS/GCP/Azure, showing signs of scaling (multiple open eng roles or recent funding), UK and US based. Include verified work email and LinkedIn profile.

Origami’s AI agent searches the live web, chains data sources, enriches contacts, and qualifies leads in seconds. What you get back: a clean CSV containing names, verified emails, phone numbers, LinkedIn URLs, company details, and tech-stack signals – all from that single prompt. You can download the list or, importantly, push it straight into Origami’s built-in LinkedIn sequencer.

If you haven’t run that prompt yet, grab your 1,000 free credits (no card needed) and get the list. The next steps assume you have a stack of 100–300 engineering leaders ready to go.

Step 2 – Refine and Qualify the List for LinkedIn Outreach

A raw list is just potential. LinkedIn outreach works when you talk to someone who feels handpicked, not scraped. Here’s how to segment and qualify so your sequence lands.

Segment by role maturity

Engineering leaders at growing companies fall into three buckets:

Hands-on builders (VP of Engineering at <80 people, still deep in architecture). Trigger: they feel the pain of scaling monoliths, CI/CD bottlenecks, and hiring gaps.
Organisational scalers (CTO or VP Eng at 80–200 people). They care about team structure, process, and platform engineering initiatives.
Strategic overseers (CTO at 200–500 employees). They think in terms of budgets, platform consolidation, and engineering velocity metrics.

Go through your Origami list and tag each lead with one of these segments (just add a column in the CSV or use Origami’s notes if available). Your messaging will shift slightly based on which bucket they’re in.

Layer on tech stack and hiring signals

Origami enrichment often surfaces the tools a company uses (look for Kubernetes, Docker, Terraform, Datadog, etc.) and whether they have aggressive hiring for DevOps or SRE roles. A company with three open platform engineering positions is in active pain. Mark those as hot.

Remove the obvious bad fits

Consultant titles that say “Engineering Lead” but the profile describes a solo practitioner.
Leaders at agencies or services companies – their buying motions are different.
Anyone whose last role change was less than 3 months ago (they’re still onboarding; outreach now is a waste).

What “qualified” looks like for engineering leaders at growing B2B companies:

They actively own or influence infrastructure decisions.
Their company is in a scaling phase (50–300 employees is the sweet spot).
There’s a trigger event (raised a round, posted about tech debt, announced a new platform initiative).
They’ve been in the role 6+ months, so they’re past the honeymoon and feeling the cracks.

Step 3 – Create the LinkedIn Outreach Sequence

This is where most campaigns fall apart: the messaging. Engineering leaders are bombarded with generic “I’d love to share how we increase productivity” notes. They delete them. Your sequence has to sound like another technical leader who gets it.

Origami gives you two ways to load a sequence into the built-in sequencer:

Paste your own templates. Write your 3-touch sequence (Connection request, Day 3 follow-up, Day 7 follow-up), paste the template into Origami, set delays (e.g., 0 days, 3 days, 7 days), and personalisation tags like , are automatically filled from the enriched profile.
Let the AI agent write it. You can ask Origami’s AI to generate a personalized 3-day LinkedIn sequence for all your leads. The agent reads each lead’s profile data – title, company, industry, tech stack hints – and writes unique messages for every person. It’s shockingly good; the messages reference their actual world (“noticed you’re hiring a Staff DevOps engineer”) without you touching a thing.

Either way, you’ll hit “Launch” and the sequence runs directly from the platform. But even if you let AI write it, you should understand the anatomy of a high-performing sequence for this audience. Below is a full 3-touch sequence you can copy, tweak, and use today. Every message respects LinkedIn character limits and makes the recipient feel seen.

The 3-touch sequence for engineering leaders at growing B2B companies

Touch 1 – Connection request note (Day 1)

LinkedIn connection request notes cap at 300 characters. Keep it human and zero-pitch.

Hi – saw you’re leading engineering at during a heavy scaling phase. We’re building tooling that tackles some of the platform pains I’m guessing you’re wrestling with (CI/CD stability, observability sprawl). Would love to connect and swap notes sometime.

Why this works: It signals shared context (“scaling phase”), names real pains without being presumptuous, and ends with a low-commitment ask. It’s not a pitch; it’s an invitation to be in the same network.

Touch 2 – Follow-up message (Day 3, after connection accepted)

Sent as a direct LinkedIn message once they accept. Aim for 70-100 words.

Hey , thanks for connecting.

I know scaling an engineering org from 50 to 200 people brings its own special chaos – hiring, keeping velocity while managing tech debt, and not letting reliability slide. We built a lightweight platform that helps engineering leaders at companies like yours cut cloud infrastructure costs by ~30% while actually shipping faster. Not another dashboard; it wires into your stack and automates the stuff that usually eats 20% of your senior engineers’ time.

I’d be happy to show you how it works in a 5-minute screen grab – zero pressure. Open to it?

This message names the exact realities (scaling from 50 to 200, cost vs speed) and offers a concrete, low-friction next step. No jargon, no fluff.

Touch 3 – Final message (Day 7, if no reply)

Last attempt. Keep it respectful, add a soft close.

Last ping, . I’ve been tracking some patterns: at the scaling stage is in, a single unplanned outage often forces platform re-architecture. If you’re already thinking about that, 30 seconds of our solution could save you a few weekends.

No worries if timing’s off. I’ll leave this here – and if the platform ever becomes a headache, I’m around.

This acknowledges that your outreach could be mistimed and leaves the door open without pushing. The mention of “unplanned outage” and “save a few weekends” is painfully relatable to any engineering leader who’s been paged at 3 a.m.

Personalise for segments

If you segmented your list earlier, tweak one line:

For hands-on builders: “We automate the Docker/K8s cluster tuning that eats your weekends.”
For organisational scalers: “We help you give platform eng teams self-service guardrails without multiplying headcount.”
For strategic overseers: “We help you cut infrastructure OpEx by 30% and report those metrics to the board.”

Step 4 – Send the Sequence Directly from Origami

Here’s the part where Origami stops being a list tool and becomes your entire outreach engine. Once you’ve finalized your leads and your sequence (whether pasted or AI-generated), you hit “Launch” inside Origami. That’s it. No exporting CSVs, no Zapier gymnastics, no separate Sales Engagement Platform.

Origami’s built-in LinkedIn sequencer handles the full flow:

Sends connection requests with the personalised note.
Monitors acceptances, then automatically pushes the Day 3 follow-up message (with your configured delay).
Sends the Day 7 message only to those who didn’t reply.
Automatic un-enrollment: If a prospect replies at any point, they’re instantly removed from the sequence. No “just booked a demo but got your breakup email” moments.
Live tracking: In the same dashboard where you built your list, you can see connection acceptance rates, message opens, link clicks, and replies. While reviewing a contact’s activity, you still see their enriched profile (title, company, tools used) – so you know exactly why you reached out without switching tabs.

The sequencer itself is included on all paid plans; you only pay for the credits used to enrich leads. The sending is free. So you can build a list with 1,000 credits (free), upgrade to a paid plan for more credits and sequence sending, and run an end-to-end LinkedIn campaign inside one platform.

What response rates to expect

For a well-segmented list of 100–200 engineering leaders at growing B2B companies, using the sequence above, you can expect:

Connection acceptance rate: 30–45% (higher if your LinkedIn profile looks credible and you’re targeting people with shared connections or groups).
Reply rate on the Day 3 message: 8–15% of those who accepted.
Final conversion to a “let’s talk” call: 3–7% of the original list.

These numbers come from campaigns where the messaging is tight and the list is clean. If you’re below 20% connection acceptance, revisit your profile and note – not the list. If you’re getting accepts but no replies, inspect the sequence. Usually, the Day 3 message is too long or sounds too generic. The sequence above avoids that.

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

Low connection acceptance → tighten your connection note; make it more about “shared challenges” and less about you.
High acceptance, low replies → your Day 3 message is too salesy or not specific enough. Add a concrete metric or a painfully relatable pain point.
High replies but “not interested” → you might be targeting the right people but at the wrong time. Layer in more intent signals (job postings, funding, tech stack changes) and requalify.

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Engineering Leaders at Growing B2B Companies: The 2026 LinkedIn Outreach Playbook