π Core Information
πΉ Job Title: Senior Lead Generation & Research Analyst (LATAM)
πΉ Company: Agent
πΉ Location: Remote (LATAM-based preferred)
πΉ Job Type: Full-time
πΉ Category: Research, Data Analysis
πΉ Date Posted: 2025-07-01
πΉ Experience Level: Mid-Senior level (5-10 years)
πΉ Remote Status: Remote (LATAM-based preferred)
π Job Overview
Key aspects of this role include:
- Building verified, accurate lead lists for a fast-growing SaaS company in the logistics vertical
- Identifying and profiling relevant companies, researching ownership structure, size, business model, and tech usage
- Mapping key decision-makers and ensuring data integrity for effective outbound processes
- Collaborating with cross-functional teams to fuel outbound sales efforts with precision and quality
ASSUMPTION: This role requires strong research, data management, and analytical skills, with a focus on generating accurate and actionable leads for the sales team.
π Key Responsibilities
β
Company & Contact Research:
- Identify and profile relevant companies within the logistics and supply chain space
- Research ownership structure, size, business model, and tech usage
- Find and map key decision-makers (VPs, Directors, Heads of Logistics/Operations)
β
Lead Generation & List Building:
- Build verified lead lists based on firmographic and role-based targeting criteria
- Utilize tools such as LinkedIn Sales Navigator, Apollo, SalesQL, ZoomInfo, RocketReach, and public databases
- Focus on data integrity: no bounces, no fluff, no filler
β
Data Validation & Enrichment:
- Cross-check and verify all contact info β emails, phone numbers, job titles, company URLs, etc.
- Enrich existing leads with missing information and ensure consistency across tools
- Document sources, track confidence level, and annotate unusual cases
ASSUMPTION: The responsibilities listed above are essential for maintaining a high-quality lead database that supports the company's outbound sales efforts.
π― Required Qualifications
Education: Bachelor's degree in a relevant field (e.g., Business, Marketing, or a related discipline) or equivalent experience
Experience: 4+ years in a data research, lead generation, or SaaS operations role
Required Skills:
- Proven experience with tools such as Apollo, LinkedIn Sales Navigator, SalesQL, ZoomInfo, ContactOut, etc.
- Fluency in English, especially written
- Proficiency in spreadsheets (Google Sheets or Excel); bonus for SQL or data analysis exposure
Preferred Skills:
- Experience supporting SDR/BDR or RevOps teams
- Familiarity with logistics, freight forwarding, or B2B tech
ASSUMPTION: The required qualifications listed above are essential for success in this role, with a strong emphasis on relevant experience and proficiency in necessary tools and skills.
π° Compensation & Benefits
Salary Range: $2,000 - $2,500 USD per month (depending on experience)
Benefits:
- Remote work with flexible hours (aligned to Pacific Standard Time)
- Opportunity to work for a fast-growing, venture-backed SaaS company
Working Hours: Full-time, with work hours aligned to Pacific Standard Time (PST)
ASSUMPTION: The salary range provided is based on industry standards for mid-senior level roles in data research and lead generation, with adjustments for remote work and the company's stage of growth.
π Applicant Insights
π Company Context
Industry: The company operates in the highly specialized logistics vertical, solving a problem nearly every sales team in the industry faces: outdated, inefficient sales processes.
Company Size: The company is fast-growing, venture-backed, and currently operates with a small team (14 employees).
Founded: The company was founded in 2023 and has already achieved significant growth in a short period.
Company Description:
- The company is focused on improving logistics sales by tackling complex operations tools and solving a huge, underserved market
- They operate in a cash-efficient manner, only spending what they've earned
- Their product has been well-received by customers, with a high customer satisfaction rate
Company Specialties:
- SaaS operations
- Logistics sales
- Data research and lead generation
Company Website: getagents.co
ASSUMPTION: The company's focus on a specific, underserved market and its cash-efficient approach to growth indicate a strong potential for long-term success.
π Role Analysis
Career Level: Mid-Senior level (5-10 years of experience)
Reporting Structure: This role reports directly to the Head of Sales or a similar leadership position within the sales organization.
Work Arrangement: Remote work with flexible hours, aligned to Pacific Standard Time (PST)
Growth Opportunities:
- As the company grows, there may be opportunities for the role to evolve or expand in scope
- With experience and strong performance, there could be opportunities for career advancement within the sales organization
ASSUMPTION: The growth opportunities for this role are tied to the company's continued success and expansion in the logistics vertical.
π Location & Work Environment
Office Type: Remote (with no physical office location)
Office Location(s): N/A (remote work only)
Geographic Context:
- The role is based in LATAM, with a preference for candidates based in Argentina
- The company operates in the Pacific Standard Time (PST) time zone
- The company has a global focus, with customers and partners located around the world
Work Schedule: Full-time, with work hours aligned to Pacific Standard Time (PST)
ASSUMPTION: The remote work arrangement and flexible hours provide candidates with a high degree of autonomy and work-life balance.
πΌ Interview & Application Insights
Typical Process:
- Initial screening call to assess cultural fit and understand the candidate's experience
- Technical assessment to evaluate the candidate's research, data management, and analytical skills
- Final interview with the hiring manager or a member of the leadership team
Key Assessment Areas:
- Data research and analysis skills
- Proven experience with relevant tools and technologies
- Fluency in English, especially written
- Cultural fit and alignment with the company's mission and values
Application Tips:
- Highlight relevant experience and skills in your resume and cover letter
- Be prepared to discuss specific examples of your research, data management, and analytical skills
- Demonstrate your understanding of the logistics vertical and the company's mission
ATS Keywords: Lead Generation, Research, Data Validation, Data Enrichment, LinkedIn Sales Navigator, Apollo, SalesQL, ZoomInfo, ContactOut, Spreadsheets, SQL, Data Analysis, Logistics, B2B Tech
ASSUMPTION: The application process for this role is designed to assess the candidate's technical skills, cultural fit, and alignment with the company's mission and values.
π οΈ Tools & Technologies
- LinkedIn Sales Navigator
- Apollo
- SalesQL
- ZoomInfo
- RocketReach
- Public databases
- Google Sheets or Excel
- SQL (bonus)
ASSUMPTION: The tools and technologies listed above are essential for success in this role, with a strong emphasis on proficiency in relevant data management and analysis tools.
π Cultural Fit Considerations
Company Values:
- Customer-centric
- Data-driven
- Collaborative
- Innovative
Work Style:
- Remote work with flexible hours
- Strong focus on data integrity and accuracy
- Collaborative approach to outbound sales efforts
Self-Assessment Questions:
- Do you have strong research, data management, and analytical skills?
- Are you comfortable working remotely with flexible hours?
- Do you thrive in a collaborative, customer-centric environment?
ASSUMPTION: The company values and work style listed above are essential for success in this role, with a strong emphasis on cultural fit and alignment with the company's mission and values.
β οΈ Potential Challenges
- The role may require working with large datasets and managing complex research projects
- The company operates in a highly specialized vertical, which may require a learning curve for candidates without prior experience in logistics or B2B tech
- The role may involve working with multiple stakeholders and balancing competing priorities
- The company is growing rapidly, which may present unique challenges and opportunities
ASSUMPTION: The potential challenges listed above are inherent to the role and the company's growth trajectory, and candidates should be prepared to navigate these challenges with a proactive and solutions-oriented approach.
π Similar Roles Comparison
- Compared to other lead generation and research roles, this position offers a unique opportunity to work in a highly specialized vertical with a strong focus on data-driven sales strategies
- The company's focus on customer-centricity and innovation sets it apart from competitors in the logistics vertical
- This role may provide opportunities for career advancement within the sales organization, as the company continues to grow and expand
ASSUMPTION: The comparison points listed above highlight the unique aspects of this role and the company, and candidates should consider these factors when evaluating the opportunity.
π Sample Projects
- Building a verified lead list for a specific target account, including company profiling, decision-maker mapping, and data enrichment
- Conducting a competitive analysis of the logistics vertical, including market trends, customer needs, and sales strategies
- Developing a data-driven approach to outbound sales, including lead scoring, segmentation, and prioritization
ASSUMPTION: The sample projects listed above are representative of the types of tasks and initiatives that candidates may be expected to undertake in this role.
β Key Questions to Ask During Interview
- Can you describe the company's approach to data-driven sales strategies, and how this role fits into that approach?
- How does the company support the professional development and growth of its employees?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does the company measure success for this role, and what are the key performance indicators (KPIs) for the position?
- What is the company's long-term vision for the sales organization, and how does this role contribute to that vision?
ASSUMPTION: The key questions listed above are designed to help candidates better understand the role, the company, and the opportunities for growth and development.
π Next Steps for Applicants
To apply for this position:
- Submit your application through this link
- Tailor your resume and cover letter to highlight your relevant experience and skills in data research, lead generation, and data management
- Prepare for the technical assessment by reviewing your proficiency in relevant tools and technologies
- Research the company and the logistics vertical to demonstrate your understanding of the industry and the company's mission
- Follow up with the hiring manager or a member of the HR team one week after submitting your application to confirm receipt and express your interest in the role
β οΈ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.