Sr. Recruiting Manager, Engineering & Data
New
Based in the United StatesFull-TimeManager
SalaryCompetitive salary ranges based on location and experience level, with higher bands in major U.S. tech hubs.
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Job Details
- Experience
- 8+ years of full-cycle recruiting experience with a strong focus on Engineering and/or Data roles
- Required Skills
- People ManagementStakeholder management
Requirements
- 8+ years of full-cycle recruiting experience with a strong focus on Engineering and/or Data roles.
- At least 2+ years of experience managing recruiters, including coaching, performance management, and workload planning.
- Proven success partnering with senior technical leaders and influencing hiring strategy through data-driven insights.
- Strong expertise in structured interviewing methodologies and end-to-end recruiting process design.
- Demonstrated ability to manage complex negotiations and close senior technical talent in competitive markets.
- Strong analytical mindset with experience using recruiting metrics to drive performance improvements.
- Hands-on experience with AI tools in recruiting workflows, with a clear perspective on where AI adds measurable value.
- Excellent communication and stakeholder management skills, with the ability to drive alignment across multiple teams.
Responsibilities
- Own full-cycle recruiting for Engineering and Data roles, from intake through offer acceptance, across a wide range of seniority levels.
- Act as a player-coach by directly managing and developing a Senior Recruiter while maintaining an active requisition load.
- Build and execute long-term hiring strategies and pipelines for critical and hard-to-fill technical roles.
- Partner closely with Engineering and Data leadership to define hiring priorities, ensure alignment, and improve hiring outcomes.
- Use recruiting funnel metrics and hiring data to diagnose challenges, identify root causes, and implement process improvements.
- Lead offer strategy and negotiations, advising stakeholders on market trends, compensation, and closing strategies.
- Contribute to the evolution of AI-enabled recruiting practices, identifying opportunities to improve sourcing, screening, and evaluation workflows.
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