Title: Research Operations Manager
Location: Mexico, Poland or Philippines
Reporting Structure: This role reports directly to the Head of Operations
About Redrob
Redrob is building the Human Feedback Stack - a platform that helps companies find, connect with, and learn from the right people to train better models, validate products, and ship with confidence. They power expert interviews, data labeling, product validation, and strategic insight through a global, tech-enabled research network.
They’re already backed by South Korea’s top-tier venture capital firms and are rapidly scaling in the U.S. and India. Their “data factory” team is the operational core that drives large-scale expert engagement and delivery for clients across industries.
Role Overview
As the Research Operations Manager, you’ll lead a high-performing delivery team that fuels Redrob’s most critical workflows - identifying and engaging expert participants, conducting interviews, analyzing qualitative data, and delivering high-quality transcripts and insights to clients.
You will be responsible for scaling a backend operation that includes cold outreach, live interviews, structured data analysis, and on-time delivery of polished outputs. You’ll lead with both process rigor and a global mindset - translating fast-paced client needs into reliable, scalable operational execution.
Responsibilities
- Oversee all stages of the human feedback pipeline: cold email/call campaigns, expert outreach, interviews, transcript analysis, and client-ready delivery
- Build operational workflows for speed, reliability, and scalability
- Ensure consistent adherence to client-specific SLAs, quality benchmarks, and delivery timelines
Required Qualifications
- 3+ years of professional experience in consulting, financial analysis, or expert network operations
- Bachelor's degree from a top 5 university in your country
- Fluent in written and spoken English
- Excellent communication and research skills
Preferred Skills
- Familiarity with tools like Airtable, Notion, HubSpot, Zapier, or transcription/labeling platforms
- Background in consulting, expert networks (e.g., GLG, AlphaSights), or data operations
- Comfortable working across time zones and distributed teams
Hiring Process
- Round 1: CEO Coffee Chat (20 min)
- Round 2: Technical/Case Presentation Interview (30-45 min)
- Round 3: Culture Fit Interview (30-40 min)