Reflow

Reflow

GTM / Growth Engineer (contract)

United States · Full-time

Sponsorship not specifiedDetected 41 days ago
SalesOutbound SalesResearch

About the role

  • Reflow is a workforce and workflow intelligence platform for enterprise operations teams.
  • Your job is simple to describe but hard to do well: take a hypothesis, find the right companies and contacts, enrich them to a high standard, and hand off a list that's ready to work.
  • You won't run the outbound experiments - that's the sales team's job.

Responsibilities

  • Use Clay, Apollo, or similar tools to source, filter, and enrich leads - layering in firmographics, hiring signals, funding rounds, tech stack, headcount growth, and other relevant signals
  • QA your own output: validate contact accuracy, remove bad fits, flag ambiguous cases with reasoning
  • Document your methodology per hypothesis so lists are reproducible without starting from scratch each time

Requirements

  • Deep, hands-on experience with Clay, Apollo or similar tools - not just awareness of it
  • Tool-stack you've got hands on experience with

Skills

  • Strong judgment about what makes a good fit - volume is not the goal, quality is
  • 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

Compensation

  • We offer competitive pay based on the market and where you're located.
  • The salary ranges in our job postings are intentionally wide because they need to cover both U.S. and international candidates.
  • Our final offer will depend on things like your experience, skill set, and location.
  • Hourly, depending on experience and tool depth
  • Option to expand scope or go retainer after 90 days.
  • Full-time if there's mutual fit

Company info

  • We offer competitive pay based on the market and where you're located.

This listing is sourced directly from Reflow's careers page and normalized into a canonical job model.