Strategic Talent Lead

Responsibilities

• Own full-cycle recruiting across functions from intake through close, maintaining high standards for quality, speed, and candidate experience.
• Develop customized sourcing strategies using talent mapping, competitive intelligence, community sourcing, and warm-pipeline development.
• Advise hiring managers and senior leaders on role design, competencies, interview architecture, and offer strategy.
• Optimize Greenhouse for data integrity, pipeline visibility, and reporting accuracy.
• Own the recruiting technology ecosystem and guide future platform migrations.
• Audit recruiting workflows and build AI-enabled automations to reduce manual work.
• Use AI tools to draft job descriptions, prepare interview kits, synthesize feedback, develop offer comparisons, and generate pipeline analytics.
• Maintain a process for evaluating recruiting technology and presenting recommendations to leadership.
• Provide structured intake, proactive communication, pipeline updates, and feedback loops for hiring teams.
• Present recruiting data and recommendations to senior leaders.
• Coach hiring managers on interviewing, bias mitigation, and rigorous decision-making.
• Build and maintain recruiting dashboards and use data to identify bottlenecks, test hypotheses, and improve resource allocation.
• Share process improvements, lessons learned, and market intelligence with the team.

Requirements

• 6+ years of talent acquisition experience in fast-paced technology environments.
• Proven full-cycle recruiting experience across an organization.
• Experience recruiting for go-to-market roles.
• AI-native mindset with the ability to build automations and intelligent workflows.
• Experience running high-velocity, outbound-focused recruiting operations, including cold outreach and complex leadership searches.
• Systems-thinking approach and ownership of the candidate journey, recruiting systems, and data.
• Ability to act as a strategic partner to senior leadership and challenge assumptions constructively.
• Strong interest in AI research and the broader technology ecosystem.
• Strong judgment, communication, critical thinking, and execution skills.

Compensation and Benefits

• Annual salary range: $125,000–$145,000, with final compensation based on experience, skills, certifications, and work location.
• Equity stock options for full-time employees.
• Flexible vacation.
• Medical, dental, vision, and life insurance.
• 401(k) and FSA.