Lead Generation Specialist
Summary:
As a Lead Generation Specialist at [Company Name], you will play a crucial role in the growth and success of our business. You will be responsible for identifying and cultivating potential leads, nurturing relationships, and converting prospects into qualified sales opportunities.
Key Responsibilities:
Lead Identification:
- Research and identify potential leads through various channels, including online research, social media, industry-specific databases, and inbound inquiries.
- Utilize tools and software to gather and organize lead data effectively.
- Develop a deep understanding of our target audience and market segments.
Lead Nurturing:
- Initiate contact with leads through email, phone calls, and other communication methods.
- Engage with leads to understand their needs and challenges.
- Provide relevant information and resources to educate and nurture leads through the sales funnel.
Data Management:
- Maintain accurate and up-to-date records of lead interactions and status in CRM software.
- Segment and categorize leads for personalized outreach.
- Monitor lead data for quality and completeness.
Lead Qualification:
- Assess and qualify leads based on predefined criteria.
- Collaborate with the sales team to ensure seamless handover of qualified leads.
- Schedule appointments and product demonstrations for qualified prospects.
Reporting and Analysis:
- Generate regular reports on lead generation activities, including conversion rates, pipeline growth, and lead sources.
- Analyze data to identify trends and opportunities for optimization.
Qualifications:
· Bachelor's degree in Marketing, Business, or a related field.
· Proven experience in lead generation, preferably in a B2B or technology-related industry.
· Familiarity with lead generation tools and software, such as CRM systems and marketing automation platforms.
· Strong communication and interpersonal skills.
· Self-motivated with the ability to work independently and as part of a team.
· Excellent organizational and time management skills.
· Data-driven mindset with a focus on achieving targets and KPIs.
Shubham Vishwakarma
Full Stack Developer - Averlon
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- ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
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Evaluation Process
- HR Discussion – A brief conversation to understand your motivation and alignment with the role.
- Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
- Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
- Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
- Final Interview – A concluding round to explore your background, interests, and team fit in depth.
- Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.
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- Build and maintain ETL pipelines for ingesting and processing blockchain data.
- Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
- Evaluate model performance, tune hyperparameters, and document experimental results.
- Develop monitoring tools to track model accuracy, data drift, and system health.
- Collaborate with infrastructure and execution teams to integrate ML components into production systems.
- Design and maintain databases and storage systems to efficiently manage large-scale datasets.
Ideal Traits
- Strong in data structures, algorithms, and core CS fundamentals.
- Proficiency in any programming language
- Familiarity with backend systems, APIs, and database design, along with a basic understanding of machine learning and blockchain fundamentals.
- Curiosity about how blockchain systems and crypto markets work under the hood.
- Self-motivated, eager to experiment and learn in a dynamic environment.
Bonus Points For
- Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
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- Participation in hackathons or open-source contributions.
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- Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
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- Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters
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- Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
- Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
- Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
- Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.
Compensation:
- INR 6 - 12 LPA
- Performance Bonuses: Linked to contribution, delivery, and impact.
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WHAT WILL YOU NEED TO SUCCEED?
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon