Senior Research Operations Program Manager

Match Group•New York, NY
•$167,475 - $201,075

About The Position

Hinge is hiring a Senior Research Operations Program Manager to scale research infrastructure and support high-impact insights across the company. The role leads and evolves operational systems across in-person research, tooling, knowledge management, and research impact. It involves managing complex, high-visibility projects and ensuring researchers have the people, partners, and resources needed to deliver insights on time. The position collaborates closely with Product, Legal, IT, and senior researchers to enable rigorous, inclusive, and forward-looking research.

Requirements

  • At least 5 years of experience in research operations, program management, or scaled operations in a technology environment.
  • Proven track record of building operational systems that support growing teams.
  • Strong communication and stakeholder management skills.
  • Experience leveraging innovative tools and technology, such as generative AI, to scale operational effectiveness.
  • Champions team culture in authentic, courageous, and empathic ways.
  • Product mindset and understanding of how research informs product decisions and moves at the pace of product teams.
  • Sound judgment and ability to move quickly on complex, ambiguous projects.
  • Familiarity with the product development lifecycle and how research fits into it.

Responsibilities

  • Source and coordinate research participants through recruitment, community organizations, and internal and external networks.
  • Coordinate in-person research, including facilities, staffing, and compliance.
  • Manage research impact programs such as demo days, insight share-outs, and roadmapping workflows.
  • Partner with Legal, Safety, and IT to ensure secure and ethical data and tooling practices.
  • Evaluate and manage relationships with vendors that support research scale and innovation.
  • Remove operational blockers so researchers can focus on insight and synthesis.
  • Identify meaningful ways AI and other new tools or methods can improve research planning, recruitment, synthesis, and knowledge sharing.
  • Design systems and operating models that make insights easy to share and find across teams and studies.
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