How to Run an Email Campaign Targeting Backend Founding Engineers at AI Startups in India (2026)
Step-by-step guide to crafting and sending a 3-touch cold email sequence to backend founding engineers at Indian AI startups using Origami's built-in sequencer.
Founder @ Origami
Quick Answer: Origami handles the full campaign—find the list, refine it, then send a 3-touch sequence from the built-in email sequencer (free on paid plans). Below, I’ll walk you through the exact sequence I’ve run to get replies from backend founding engineers at Indian AI startups, including scripts you can copy and results to expect.
You already know how to build the list. If you haven’t, jump to how to build a list of Backend Founding Engineers at AI Startups in India and run the prompt there. This guide assumes you’ve got a list inside Origami and you’re ready to turn it into conversations.
Step 1: Build the List (Quick Recap)
Before you can sequence, you need the right people. In Origami, you’d describe your ideal customer in plain English. For this audience, that prompt looks like:
Backend founding engineers at AI startups in India. Companies under 50 employees, focused on generative AI, LLMs, or AI infrastructure. Prefer people with titles like CTO, Head of Engineering, or Senior Backend Engineer who likely write code and make tech decisions.
Origami’s AI agent scours the live web, chains data sources, and returns a targeted list with verified names, email addresses, phone numbers, company size, and tech stack signals—all ready for the sequencer.
You get 1,000 free credits with no card required, so even the initial enrichment costs you nothing. Once you hit “Build List,” you’ll have a spreadsheet-like view you can sort, filter, and refine. That’s where we go next.
Step 2: Refine and Qualify the List for Email
A raw list of 200 names isn’t a campaign—it’s noise. For backend founding engineers at Indian AI startups, I filter aggressively on three things:
- Role precision: Keep only people with actual backend or infrastructure responsibility. Strip out pure ML researchers, frontend-only leads, or non-technical co-founders. Look for titles like Principal Engineer (Backend), CTO (working), Head of Engineering, or Founding Engineer, Backend. If someone’s last three roles were all AI/ML research, they’re probably not the one choosing the API gateway or database.
- Company stage & size: 5-50 people is the sweet spot. At <5, they’re too early for external tools; >50, they’ve already bought most things. I also check for any recent funding news (Origami enriches with Crunchbase signals) because a seed or Series A in the last 6 months means they’re scaling their backend right now.
- Location nuance: Yes, you’re targeting India. But within India, founders in Bengaluru, Pune, Gurugram, and Hyderabad respond differently to outreach than someone in a smaller city. If you’re selling a global product, I prioritize engineers at startups that ship to US/EU customers—Origami often shows linkedin profiles with location tags and “company HQ” fields, making this easy to spot.
A qualified lead for this campaign answers three questions with a yes:
- Do they personally write or architect backend code?
- Is their company actively scaling a product that uses LLMs or AI models?
- Could they influence a tooling purchase inside 60 days?
In Origami, I create segments right inside the list view: one for “CTO/Head of Eng,” one for “Senior IC,” and one for “Wildcards” (maybe a VP Eng who came from a startup). Then I sequence each segment with slightly different copy. More on that in the next step.
Step 3: Create the Email Sequence
Here’s where we move from data to action. Origami’s email sequencer lives right next to your list. You don’t export a CSV, you don’t log into another tool. You have two paths:
Option 1: Paste Your Own Templates
You can write a 3-touch sequence yourself, paste the templates into Origami, and set the delays between touches (Day 1, Day 3, Day 7, or any cadence you want). Hit “Launch,” and Origami sends each step automatically.
Option 2: Let the Agent Write It
If you’re short on time, ask Origami’s AI agent to generate a personalized 3-day email sequence for all your leads. It uses each lead’s profile—title, company, industry—to write messages that feel custom. You can accept or tweak them.
Either way, you control the sending. For a sales practitioner, option 1 gives you the most control; I’ll share the exact sequence I’ve tested and refined for Indian AI startup backend founders.
The 3-Touch Sequence for Backend Founding Engineers at AI Startups in India
Day 1: Cold email – relevance
Subject: Quick backend infra question — {Company Name}
Preview: How are you handling inference latency at scale?
Hi {First Name},
I’m researching how AI startups in India are solving backend scaling around LLM inference. {Company Name} stands out because of how you’re tackling {specific model or use case}.
Would you be open to a 10-minute chat about what’s been hardest on the infra side? I’m not selling anything — just learning patterns from engineers like you. If it’s interesting, I can share what we’re seeing across 50+ similar teams.
Day 3: Follow-up – different angle, value-first
Subject: The hidden cost of OpenAI APIs for Indian startups
Preview: A pattern we’re seeing with GPU spend and latency
Hi {First Name},
Last week I spoke with a founding engineer at another Bengaluru AI startup who cut their LLM inference cost by 40% after switching to latency-optimized routing. It made me think of you because you’re likely juggling similar GPU vs. cloud API trade-offs.
I put together a 2-pager on how Indian teams are structuring backend pipelines for affordable scale. Happy to share if you’re curious — no pitch.
Day 7: Final breakup – short, respectful, with a clear off-ramp
Subject: Is there a better person for this?
Preview: If not you, is someone else managing backend infra?
Hi {First Name},
I’ve tried to reach you twice. Totally understand if the timing’s off.
If backend scaling isn’t your focus right now, is there a co-founder or lead engineer you’d recommend I chat with? I’m happy to introduce myself and won’t misuse their name.
Otherwise, I’ll leave you to it. Thanks for considering.
These messages are deliberately short (under 80 words each), use plain language, and anchor on real problems: inference cost, latency, scaling with small teams. Indian startup founders are skeptical of hype; they respond to specificity and an obvious respect for their time.
Customization Tips
- Use company details: If Origami pulls that a startup uses Llama-3 fine-tuned with a custom backend, mention it in the Day 1 email. The tool enriches tech stack signals so you can call out things like “I saw you’re running Llama-3 with a custom Python backend.”
- Segment your sequences: For CTOs/Heads of Eng, emphasize architecture decisions and cost. For senior ICs, lead with personal productivity and tooling. The second email in my sequence above works for both, but you might swap the first email’s hook.
- Timezone and timing: Indian engineers often check email late at night or after 10:30 a.m. IST. I schedule Day 1 for a Tuesday at 10:30 a.m., Day 3 for Thursday at 3 p.m., and Day 7 for the following Tuesday. Origami lets you set exact sending times per step.
Step 4: Send the Sequence Directly from Origami
This is where Origami differs from old-school tools. You don’t export a CSV, upload to a separate mailer, and pray for a clean B2B sending setup. You launch the sequence from the same dashboard where the list lives.
- Attach sequence to segment: Select the refined list, open the Sequencer tab, and choose “New Sequence.” Paste your three emails (or let the agent generate them), assign delays (1, 3, 7 days default), and set a sending schedule.
- Launch & monitor: Once you hit launch, Origami sends step 1 to all leads immediately. Step 2 fires automatically 2 days later, step 3 after that.
- Track everything in one view: Opens, clicks, and replies show up in real time next to each lead’s enriched profile. So when a CTO opens your Day 2 email and clicks the link, you see that event while still seeing their company size, tools used, and original enrichment data. No alt-tabbing.
- Automatic un-enrollment: This is critical. The moment someone replies—even a “Not interested”—Origami removes them from the sequence. You’ll never send a breakup email after a prospect has booked a meeting. It saves embarrassment and keeps your domain reputation clean.
What Response Rates to Expect
With a tightly qualified list of 80-120 backend founding engineers at Indian AI startups, using this exact sequence and a clean sending domain, I typically see:
- Open rates: 55-70% (cold emails to technical founders are high-intent)
- Reply rates: 8-12% — often split between genuine interest and “not the right person” pointers. The Day 3 email with the cost angle usually generates the highest interest.
- Positive reply rate (meeting or hand-off): 4-6% — not massive, but these are high-value conversations. A single founding engineer from a Series A startup can become a $20k+ ARR account within 90 days if you solve a real backend problem.
When to Iterate on Messaging vs. Iterate on the List
- If open rate is below 45%: Your subject lines aren’t breaking inbox clutter, or your list enrichment didn’t capture the right inboxes. Re-check deliverability and try subject lines that reference the company name or a tool they use.
- If reply rate is below 5% after two weeks: Your messaging isn’t hitting the pain. For this audience, the most common mistake is pitching a tool rather than starting a conversation about their scaling challenges. Pivot to the “I’m just researching” angle, or test a pattern like “quick question” vs. “saw your post on X.”
- If you get replies but zero meetings: The offer in your follow-up isn’t valuable enough. Instead of a generic “15-minute call,” attach a quick audit or a benchmark report. For Indian startup founders, a short PDF on “GPU cost benchmarks for LLM inference in 2026” pulls much better than a demo.
All this iteration happens in Origami’s same interface. You can clone a sequence, tweak the copy, and relaunch to a fresh segment in minutes.