Lead Generation & Research Analyst (LATAM)
Remote (LATAM-based preferred)
Work hours aligned to Pacific Standard Time (PST)
Monthly compensation: $2,000–$2,500 USD (depending on experience)
Our client is a fast-growing, venture-backed SaaS company on a mission to transform how logistics companies sell. In just over a year, they've built a product that customers genuinely love, scaled to hundreds of thousands in ARR (doubling in the last 3 months), and are on track to cross $1.8M in revenue over the next year.
They’ve done all this while being cash-efficient—only spending what they’ve earned. The company operates in a highly specialized logistics vertical, solving a problem nearly every sales team in the industry faces: outdated, inefficient sales processes. Instead of tackling complex operations tools like most competitors, they’re laser-focused on improving logistics sales—a huge, underserved market.
About the role:
You’ll be responsible for building verified, accurate lead lists, identifying the right decision-makers, enriching company and contact profiles, and fueling our outbound process with precision and quality. You’re not doing outreach or sales — but your work is the foundation of smart outbound.
Key Responsibilities
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).
Lead Generation & List Building
Build verified lead lists based on firmographic and role-based targeting criteria.
Utilize LinkedIn Sales Navigator, Apollo, SalesQL, ZoomInfo, RocketReach, and public databases.
Focus on data integrity: no bounces, no fluff, no filler.
Data Validation & Enrichment
Cross-check and verify all contact info — 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.
4+ years in a data research, lead generation, or SaaS ops role.
Strong experience with tools like Apollo, LinkedIn Sales Navigator, SalesQL, ZoomInfo, ContactOut, etc.
Fluent in English, especially written.
Proficiency in spreadsheets (Google Sheets or Excel); bonus for SQL or data analysis exposure.
Experience supporting SDR/BDR or RevOps teams is a plus.
Familiarity with logistics, freight forwarding, or B2B tech is helpful but not required.
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