AI Expert for B2B Lead Generation Automation
Budget: ₹75,000 – ₹150,000 INR
Overview
We are looking for an expert who has built production-grade AI lead generation systems for B2B / industrial companies in the US.
This is for an industrial equipment supplier that sells into project-driven, recurring-use markets. We are not looking for generic list building. We need someone who understands how to find companies that are actively working on new builds, equipment projects, or engineering cycles, then identify the right decision-makers and support personalized outreach. Our target sources and signals include industrial directories, LinkedIn/Apollo, job postings, and project databases.
What we need
We need help building or improving a system that can:
Find target companies based on buying signals
Qualify companies based on what they build, not just their industry label
Identify the right contacts inside those companies
Enrich and verify contact data
Use AI to research, score, and personalize outreach
Support email-first outreach, with LinkedIn as optional
Ideal company types
We want to target companies such as:
EPC and engineering firms
Mechanical and HVAC contractors
OEM manufacturers
Industrial equipment builders
Skid fabricators
Marine/offshore and hazardous-environment contractors
Facilities with ongoing maintenance/replacement needs
What makes this different
The system should focus on companies with recurring or project-based demand, not one-time buyers. We are especially interested in signals such as:
New project awards
Facility expansions
Engineering hires
New product or equipment development
Active design cycles
Job postings that indicate upcoming work
Your background should include
Please apply only if you can show:
1–2 similar systems you built end-to-end
The exact tools/workflows you used
The measurable results you achieved
Experience with industrial, engineering, manufacturing, or project-based B2B lead generation
Do not apply if
You only know Apollo + generic sequences
You cannot explain your backend workflow clearly
You rely only on no-code tools without understanding data pipelines
You have never built a real lead-gen automation system
To apply, answer these questions
What is one lead-gen automation system you built end-to-end?
What data sources and signals did you use?
What measurable result did you achieve?
What was your technical stack?
How would you approach industrial / project-based lead gen differently from SaaS or generic B2B?
Preferred stack
Python, Node, Apify, Playwright, Postgres, n8n, Claude / GPT, email verification tools, and outreach tools like Instantly or Smartlead.
Project type
Project basis, with potential for long-term work if the system performs well.
We are looking for an expert who has built production-grade AI lead generation systems for B2B / industrial companies in the US.
This is for an industrial equipment supplier that sells into project-driven, recurring-use markets. We are not looking for generic list building. We need someone who understands how to find companies that are actively working on new builds, equipment projects, or engineering cycles, then identify the right decision-makers and support personalized outreach. Our target sources and signals include industrial directories, LinkedIn/Apollo, job postings, and project databases.
What we need
We need help building or improving a system that can:
Find target companies based on buying signals
Qualify companies based on what they build, not just their industry label
Identify the right contacts inside those companies
Enrich and verify contact data
Use AI to research, score, and personalize outreach
Support email-first outreach, with LinkedIn as optional
Ideal company types
We want to target companies such as:
EPC and engineering firms
Mechanical and HVAC contractors
OEM manufacturers
Industrial equipment builders
Skid fabricators
Marine/offshore and hazardous-environment contractors
Facilities with ongoing maintenance/replacement needs
What makes this different
The system should focus on companies with recurring or project-based demand, not one-time buyers. We are especially interested in signals such as:
New project awards
Facility expansions
Engineering hires
New product or equipment development
Active design cycles
Job postings that indicate upcoming work
Your background should include
Please apply only if you can show:
1–2 similar systems you built end-to-end
The exact tools/workflows you used
The measurable results you achieved
Experience with industrial, engineering, manufacturing, or project-based B2B lead generation
Do not apply if
You only know Apollo + generic sequences
You cannot explain your backend workflow clearly
You rely only on no-code tools without understanding data pipelines
You have never built a real lead-gen automation system
To apply, answer these questions
What is one lead-gen automation system you built end-to-end?
What data sources and signals did you use?
What measurable result did you achieve?
What was your technical stack?
How would you approach industrial / project-based lead gen differently from SaaS or generic B2B?
Preferred stack
Python, Node, Apify, Playwright, Postgres, n8n, Claude / GPT, email verification tools, and outreach tools like Instantly or Smartlead.
Project type
Project basis, with potential for long-term work if the system performs well.