Lead Generation Manager (LinkedIn)

About the Position

Dataforest is a company specializing in Data Science, Data Engineering, and Data Transformation. We build data architectures, ETL pipelines, data integrations, automated reporting, BI solutions, and analytical systems for medium and large companies.

We are looking for a Lead Generation Manager (LinkedIn) who can not only find contacts and launch outreach but also independently build and optimize lead generation campaigns - from forming ICP and collecting data to personalizing, automating, qualifying leads, and transferring them to Sales.

Responsibilities

• Search and select target companies and decision-makers according to ICP: FinTech, Healthcare, Retail, Manufacturing, Logistics.
• Work with LinkedIn Sales Navigator for searching, segmenting, and forming target audiences.
• Build and launch lead generation campaigns using Clay, Apify, and LinkedIn Helper.
• Use Claude API for automating research, enrichment, and personalization of outreach.
• Build campaign logic: segmentation → enrichment → personalization → first touch → follow-ups → qualification.
• Set up integrations between lead generation tools and other systems.
• Work with webhooks - a must-have skill.
• Create personalized First Touch / Follow-up sequences for different ICP and personas.
• Conduct written communication with potential clients to identify needs, pain points, and potential interest in our services.
• Warm up and qualify leads to Interested / Qualified / Ready for Call status and transfer to Sales.
• Form and continuously update ICP databases: companies, decision-makers, segments, triggers, and other data for personalization.
• Analyze campaign results and optimize approaches based on response rate, positive reply rate, qualified leads, and booked meetings.
• Daily / weekly / monthly reporting on key metrics.
• If necessary - create short personalized Loom videos for outreach.

Requirements

• Experience in Lead Generation / SDR / Outreach for at least 6 months.
• Practical experience with:
  • Clay
  • Apify
  • LinkedIn Sales Navigator
  • LinkedIn Helper
  • Claude API
  • Webhooks - mandatory

It is important to not just know the interface of the tools but to understand how to combine them into a single lead generation workflow.

For example:

Sales Navigator → Apify → Clay → enrichment → Claude API personalization → LinkedIn campaign → qualification → Sales

We expect the ability to independently build a campaign from scratch: define the segment, collect and clean data, set up enrichment, personalization, and sequence, launch the campaign, analyze results, and propose changes.

Basic understanding of terms:

• Data Engineering
• Data Science
• ETL / Data Pipelines
• Data Integration
• Data Migration
• BI / Dashboards
• Data Automation

English - Upper-Intermediate+, including confident written communication.

What We Value

• Results-oriented approach.

We value the number of relevant dialogues, qualified leads, and meetings, not the number of mechanical actions performed.

• Analytical skills.

Ability to work with campaign metrics, find reasons for low conversion, test hypotheses, and improve results.

• Strong written communication.

Ability to not only send a sequence but also continue a live dialogue with a potential client, ask the right questions, identify their needs, and understand if there is potential for further conversation with Sales.

• Technical skills.

Understanding of automation logic, API, and webhooks at a level sufficient for independently building lead generation workflows.

• Self-organization and responsibility.

Ability to independently manage campaigns, monitor KPIs, and respond promptly to results.

Target - 40-120 new relevant contacts with launched personalized sequences per week depending on the complexity of the segment and the level of personalization.

We also value:

• Response rate;
• Positive reply rate;
• Number of qualified leads;
• Number of booked meetings;
• Conversion between campaign stages;
• Quality of ICP and contact base.

We Offer

• Fully remote work.
• Flexible schedule - results are important to us.
• Fixed salary in USD.
• Work with an experienced team of Data Engineers and Data Strategists.
• Mentorship and opportunities for growth in technical B2B lead generation.
• Opportunity to grow to SDR / Sales Manager.
• Paid vacation, public holidays, and sick leave.
• Corporate events, team-building activities, thematic events, and other team activities.

About the Company

Dataforest specializes in Data Science, Data Engineering, and Data Transformation. We build data architectures, ETL pipelines, data integrations, automated reporting, BI solutions, and analytical systems for medium and large companies.