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Tech Stack
Tools & technologiesApollo
About the role
Key responsibilities & impact- Receive a GTM hypothesis and translate it into a precise list of target companies and contacts
- Use Clay, Apollo, or similar tools to source, filter, and enrich leads
- QA your own output: validate contact accuracy, remove bad fits, flag ambiguous cases with reasoning
- Refine lists based on feedback from the sales team after each experiment run
- Document your methodology per hypothesis so lists are reproducible without starting from scratch each time
- Suggest improvements to hypothesis definitions when you notice patterns in the data
Requirements
What you’ll need- Deep, hands-on experience with Clay, Apollo or similar tools — not just awareness of it
- Comfortable pulling and combining data from multiple sources: Apollo, LinkedIn Sales Nav, Clearbit, Crunchbase, funding databases, intent data providers
- Strong judgment about what makes a good fit — volume is not the goal, quality is
- Solid understanding of the VC-backed startup ecosystem (funding stages, hiring signals, growth indicators) and mid-market enterprise buying dynamics
- Able to work from a loosely defined hypothesis and ask the right clarifying questions to tighten it
- Background in sales research, SDR, or data enrichment at a B2B SaaS company is ideal — doesn't need to be a full engineer
Benefits
Comp & perks- Option to expand scope or go retainer after 90 days
- Full-time if there's mutual fit
- Competitive pay based on the market and where you’re located
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data enrichmentlead sourcingdata validationdata filteringhypothesis testingsales research
Soft Skills
judgmentanalytical thinkingcommunicationproblem-solvingadaptability
