A P P I N V E N T I V C A R E E R S

Demand Generation Lead — AI Systems Builder

Team: Growth / Revenue Marketing Location: Noida (Hybrid) Experience: 3–6 years Type: Full-time

Read this first

This is not a role where you inherit a playbook, a stack, and a list of accounts. There is no machine to run yet.

You are here to build it from zero.

Appinventiv builds digital products, AI systems, and platforms for enterprises and rapid-scaling companies worldwide. We want a demand

generation engine that matches the ambition of what we ship — one that is self-driven and AI-driven by default, where humans step

in only to take it to the next level. Not to do the manual work. To make the leaps a machine can't.

If you need a defined process handed to you, this isn't your role. If the phrase "blank page" excites you more than it scares you, keep

reading.

The mandate

Your job is to design, assemble, and continuously upgrade an autonomous demand generation system — one where AI does the vast majority

of the work and your human judgment is the multiplier, not the labor.

Concretely, you own the answer to: "How do we find, qualify, and open conversations with our best-fit accounts at scale, with as little manual

effort as possible — and make that system smarter every month?"

You'll build this in layers, from nothing:

1. Define the intelligence. Establish our ICP from first principles — who actually converts, why, and what signals predict it. No one is

handing you this; you'll derive it from data and sales reality.

2. Build the signal engine. Stand up systems that continuously detect in-market accounts — funding, hiring, leadership changes, techstack

shifts, product moves — so the pipeline is driven by timing, not guesswork.

3. Build the enrichment pipeline. Design AI-driven enrichment workflows (e.g., Clay-style multi-source waterfalls) that produce clean,

verified, decision-maker-level data with minimal human touch.

4. Build the outreach system. Create AI-orchestrated, multi-channel personalization (email + LinkedIn) that reads a prospect's real

context and reaches out at scale — while feeling one-to-one.

5. Make it autonomous. Wire these layers into workflows and agents that run with minimal supervision, so your time goes to strategy,

taste, and the next 10x — not repetitive execution.

The goal is a system that keeps working when you're not watching it, and that you make measurably better over time.

The philosophy: AI does the work, humans elevate

We mean this literally. The default assumption for every task is: a tool, workflow, or agent should be doing this — not a person.

Your value is not in how many emails you can send or lists you can scrape. It's in what only a human can do: setting the strategy, judging

what "good" looks like, spotting the signal in the noise,



writing the message that actually lands, and deciding where the whole system goes

next. You design the machine and then apply human leverage exactly where it compounds.

If you find yourself doing the same manual task twice, your instinct should be to automate the third.

Build phases

We're not going to onboard you into a process — you're going to create one. Roughly:

Phase 1 — Foundations (first ~60 days). Get deep on our services, buyers, and what sales considers a real opportunity. Define the ICP

and segmentation from data. Choose and stand up your initial stack. Ship the first working prospecting-to-outreach loop, even if scrappy.

Phase 2 — System (next ~90 days). Turn that scrappy loop into a repeatable, AI-driven pipeline: signal detection, enrichment waterfalls,

personalized multi-channel sequences, and clean CRM handoff. Start producing consistent, sales-accepted pipeline. Instrument everything.

Phase 3 — Autonomy & scale (beyond). Reduce the manual footprint. Introduce agents and workflows that run themselves. Your hours

shift from doing to designing, experimenting, and scaling. The system now produces pipeline largely on its own, and you're focused on the

next leap.

What you'll own

The entire demand generation engine — architecture, tooling decisions, and outcomes. This is yours to build and defend.

A living, data-derived ICP and account segmentation that sharpens over time.

Signal-based targeting: systems that surface accounts that are actually in-market.

AI-driven enrichment pipelines that produce trustworthy, decision-maker-level data with minimal manual cleanup.

AI-orchestrated, personalized, multi-channel outreach at scale.

The workflows, prompt systems, and agents that make all of the above run with as little human intervention as possible.

Clean, trustworthy CRM data and reporting the whole revenue team relies on.

The experimentation loop — you decide what to test, you read the numbers, you kill what fails and scale what works.

Staying ahead of a field that moves monthly, and pulling the best new tools and techniques into the system before anyone asks.

The stack you'll assemble

You choose and build the stack — we don't hand you one. You should be fluent in these categories and able to justify your tooling decisions:

AI reasoning & content: ChatGPT, Claude, Gemini, Perplexity

Workflow, automation & agents:



Clay or similar; comfort designing multi-step automated workflows

Prospecting & data: Apollo.io, LinkedIn Sales Navigator, ZoomInfo, Lusha, Seamless.AI

Outreach automation: Instantly.ai, Lemlist, or similar

CRM: HubSpot or Salesforce

Data handling: Excel / Google Sheets, and ideally some scripting or no-code logic to glue systems together

Who you are

3–6 years in demand generation, growth, lead generation, or revenue operations — including time spent building workflows and systems,

not just executing them.

Deeply AI-native. You already run your work through AI tools and automation by instinct, and you've built at least one workflow you're

genuinely proud of.

A systems thinker. You see a repetitive task and immediately imagine the machine that should replace it.

A strong researcher and sharp writer — you can find the signal others miss and write outreach a busy executive actually replies to.

Fluent with data. You build it, clean it, and let it decide your next move.

Highly self-directed. You're comfortable with ambiguity, a blank page, and full ownership of the outcome.

Solid grasp of B2B sales and how demand generation turns into real revenue.

Bachelor's degree in Business, Marketing, Sales, or a related field.

Bonus points: hands-on Clay or agentic-workflow experience, no-code/low-code or light scripting ability, a track record of taking a demand

channel from zero to pipeline, or experience selling technology/services into enterprise and global markets.

How success is measured

Success here is simple to state: did you build a system that produces qualified pipeline largely on its own, and does it keep

getting better?

Concretely:

Qualified, sales-accepted leads and SQLs produced by the system per month

Lead-to-prospect conversion rate — quality over raw volume

How much of the pipeline runs without manual effort (the automation ratio)

Data accuracy and completeness — bounce rates, dedup, enrichment coverage

Outreach performance — reply, positive-reply, and meeting-booked rates

CRM integrity the whole team can trust

The pace at which you upgrade the engine — new signals, workflows, and agents that move the numbers

What you're really signing up for

Full ownership of a system that doesn't exist yet, at a company that will actually let you build it. Ambiguity, a blank page, and the freedom —

and pressure — that comes with owning an outcome end to end. Access to global enterprise markets to sell into, and a team that ships.

If your idea of a good year is looking back at a machine you built from nothing that now runs itself, this is the role.

Appinventiv is an equal opportunity employer. We hire for capability, curiosity, and how fast you can learn — not just what's already on your

resume.

📌 Demand Generation Lead (Noida)
🏢 Appinventiv Technologies
📍 Noida