Talent Acquisition Partner (Sales)

Sorry, this job was removed at 06:08 a.m. (CST) on Monday, Nov 03, 2025
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Boston, MA, USA
In-Office
Machine Learning • Software
The Role
Description

Coralogix is a modern observability platform revolutionizing how businesses analyze and understand data. With in-stream analytics, we slash costs and elevate performance across logs, metrics, traces, and security data—empowering teams with real-time insights and up to 70% savings.

Responsibilities

  • Own full-cycle recruitment for US Sales roles, from sourcing to onboarding
  • Partner with hiring managers and HR to define role requirements and hiring strategies
  • Source talent across platforms, events, and networks; engage passive candidates
  • Craft compelling outreach that highlights Coralogix’s value and culture
  • Track and report key hiring metrics and pipeline progress
  • Ensure smooth candidate experience and internal coordination



Requirements
  • 5+ years as a full-cycle recruiter in a global tech environment
  • Proven experience hiring US-based sales roles, including senior-level
  • Strong knowledge of tech and sales recruitment practices
  • Creative sourcing skills and data-driven recruitment mindset
  • Excellent communication and stakeholder management
  • Ability to multitask and deliver in a fast-paced, dynamic environment
  • The position based In Coralogix's office in Boston and requires working from the office at least 3 times a week

Nice-to-Haves

  • Experience with modern sourcing tools and CRM systems
  • Exposure to international hiring challenges and strategies
  • Creative, detail-oriented, and results-driven approach

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The Company
HQ: San Francisco, CA
198 Employees
Year Founded: 2014

What We Do

We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing. By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost. In short, we are streaming the future of data.

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