Infrrd
Infrrd

Sales Operations Manager

TLDR

Own and optimize CRM systems, enhance sales processes, and support revenue operations in a high-impact, collaborative role at Infrrd.

We are Infrrd - Enterprise AI company that uses AI and Machine Learning to help our customer automate human tasks.


We're looking for a driven Sales Operations professional to join our revenue team. You'll be the backbone of our sales engine; owning the systems, processes, and data that help our sales team operate at peak efficiency. This is a high-impact role with direct visibility into leadership.


What You'll Do

  • Own and optimize our CRM (HubSpot) — data hygiene, workflows, and reporting
  • Build and maintain dashboards and reports for pipeline health, forecasting, and sales KPIs
  • Partner with sales leadership on territory planning, quota setting, and headcount modeling
  • Manage the sales tech stack and evaluate new tools to improve rep productivity
  • Drive process improvements across the full sales cycle — from lead routing to deal close
  • Support QBR preparation, sales cadence meetings, and board-level reporting
  • Collaborate cross-functionally with Marketing, Finance, and Customer Success


What We're Looking For

  • 7-12 years in Sales Operations, Revenue Operations, or a related GTM role
  • Hands-on experience with Salesforce, HubSpot, or similar CRM
  • Strong analytical skills — comfortable with Excel/Sheets, and ideally BI tools
  • Experience with sales engagement tools is a plus
  • Ability to work independently in a fast-moving, high-growth environment
  • Strong communicator who can translate data into actionable insights for sales leaders
  • B2B SaaS experience preferred


Nice to Have

  • Exposure to AI/automation tools
  • Experience supporting SDR/BDR teams


Why Infrrd

  • Work at the intersection of AI and enterprise automation
  • High-visibility role with direct impact on revenue
  • Collaborative, fast-moving culture

Infrrd builds an Intelligent Document Processing platform that leverages AI and Machine Learning to automate data extraction from complex documents. This solution is designed for enterprises looking to streamline their operations by reducing the manual effort involved in processing unstructured data.

Employees
201-500 employees
Industry
IT Services
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