About The Position

EPCVIP, Inc is seeking an Associate Product Manager to own and execute monetization initiatives within a high-volume lead marketplace ecosystem. The work involves real-time routing, partner integrations, pricing logic, and experimentation workflows across hundreds of affiliates and monetization partners. The role sits within the Product Operations team and works closely with Analytics, Client Relations, and Strategy teams. It is highly operational and analytical, suited to someone who can independently manage experiments, operational initiatives, and cross-functional execution end to end in a fast-paced, data-driven environment.

Requirements

  • 1–3 years of experience in Product Management, Product Operations, Revenue Operations, or marketplace optimization.
  • Strong analytical, operational, and problem-solving skills.
  • Experience managing experiments and data-driven initiatives.
  • Ability to independently own projects from scoping through execution.
  • Excellent cross-functional communication and stakeholder management.
  • Comfort using AI tools, analytics platforms, and operational systems.

Nice To Haves

  • Experience in lead generation, affiliate marketing, marketplace platforms, or monetization systems.
  • Experience with revenue optimization for a marketplace or a company platform handling large data flows.
  • Experience managing diverse stakeholders at a large company.

Responsibilities

  • Own day-to-day execution of monetization and routing initiatives.
  • Manage the experimentation lifecycle, including hypothesis creation, testing, analysis, and rollout recommendations.
  • Partner with Engineering, Analytics, and Client Relations teams to implement and optimize initiatives.
  • Analyze data, identify trends, and provide actionable recommendations.
  • Improve lead routing, pricing logic, and affiliate monetization workflows.
  • Maintain documentation, project visibility, and operational accountability.
  • Identify workflow inefficiencies and propose automation or optimization improvements.
  • Use AI tooling, data warehouse integrations, and analytics platforms independently to support decision-making.
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