Geo TSC Lead

HCLTech; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

HCL Technologies Limited is seeking an experienced Geo TSC Lead to drive strategic talent acquisition for AI and CTO organizations in the United States. You will manage end-to-end recruiting, build talent pipelines, and partner with senior leaders to align hiring with business goals.

The role requires 5–10 years in technology recruiting with a focus on AI, data, and emerging tech, plus strong relationship-building and market intelligence capabilities.

Qualifications

• 5-10 years of technology recruiting experience with at least 3+ years focused on AI, Data, Cloud, or emerging technology hiring.
• Proven success hiring for niche and senior technology positions.
• Experience managing multiple complex requisitions simultaneously.
• Strong consulting and influencing skills with executives and senior leaders.
• Excellent verbal and written communication in English.

Responsibilities

• Lead end-to-end recruitment for AI and CTO organization hiring needs across the United States.
• Manage full recruitment lifecycle including sourcing, screening, interviewing, offer management, and onboarding support.
• Build proactive pipelines for critical AI positions and provide market insights to leaders.
• Drive hiring plans aligned with business growth and talent demand forecasts.
• Develop talent maps and conduct market research on AI talent trends.

Skills

AI Recruiting

Talent Mapping

Market Intelligence

Stakeholder Management

Full-cycle Recruiting

Education

Bachelor's degree in Human Resources, Business, Engineering, Computer Science, or related field

Tools

LinkedIn Recruiter

CRM systems

Talent mapping software

Job description

Career Opportunities: Geo TSC Lead (189840)

Requisition ID189840-Posted11/06/2026

We are seeking an experienced and highly driven Lead Recruiter to support strategic hiring across the AI business teams. This role will focus on attracting, engaging, and hiring top-tier talent in Artificial Intelligence, Generative AI, Agentic AI, Data Science, Machine Learning, AI Engineering, AI Platform Engineering, AI Architecture, and emerging technologies.

The ideal candidate will possess strong expertise in niche technology recruiting, talent mapping, market intelligence, stakeholder management, and full-cycle recruitment. The individual will partner closely with business leaders, hiring managers, CTO teams, and workforce planning partners to build high-quality talent pipelines and deliver exceptional hiring outcomes in a highly competitive AI talent market.

Key Responsibilities

Strategic Talent Acquisition

• Lead end-to-end recruitment for AI and CTO organization hiring needs across the United States.
• Manage full recruitment lifecycle including sourcing, screening, interviewing, offer management, and onboarding support.
• Build proactive pipelines for critical and hard-to-fill AI positions.
• Drive hiring plans aligned with business growth and talent demand forecasts.
• Conduct market research on AI talent trends, compensation benchmarks, competitor hiring activities, and talent availability.
• Develop talent maps of target companies, AI startups, consulting firms, hyperscalers, and product organizations.
• Provide hiring leaders with actionable market intelligence and supply-demand insights.

Stakeholder Partnership

• Partner with CTO leadership, hiring managers, practice heads, and business stakeholders to understand hiring priorities and workforce requirements.
• Act as a trusted talent advisor throughout the hiring process.
• Influence hiring decisions through data-driven recommendations and market insights.

Sourcing & Candidate Engagement

• Utilize advanced sourcing techniques, including LinkedIn Recruiter, talent mapping, referrals, networking, and research-based sourcing.
• Identify and engage passive candidates with expertise in AI, GenAI, LLMs, Agentic AI, Cloud AI, Data Engineering, and related domains.
• Build strong candidate relationships and maintain an exceptional candidate experience.

Recruitment Operations

• Ensure hiring process compliance, documentation, and adherence to organizational policies.
• Monitor recruitment metrics including pipeline health, time-to-fill, offer acceptance, and source effectiveness.
• Drive process improvements to enhance recruitment efficiency and quality of hire.

Employer Branding

• Represent the company in industry events, university partnerships, professional communities, and technology forums.
• Promote the organization's AI vision, innovation culture, and career opportunities.

Skill Requirements

Recruitment Expertise

• 5-10 years of technology recruiting experience with at least 3+ years focused on AI, Data, Cloud, or emerging technology hiring.
• Proven success hiring for niche and senior technology positions.
• Experience managing multiple complex requisitions simultaneously.

Strong understanding of:

• Artificial Intelligence (AI)
• Generative AI
• Agentic AI
• Data Science
• MLOps
• Software Engineering fundamentals
• AI Product and Solution Architecture
• Talent mapping and competitor intelligence.
• Workforce planning support.
• Market research and compensation benchmarking.
• Candidate assessment and qualification techniques.

Stakeholder Management

• Ability to work effectively with senior leaders and executives.
• Strong consulting and influencing skills.
• Excellent verbal and written communication skills.

Experience with:

• CRM tools
• Advanced Boolean and internet sourcing techniques

Other Requirements

Education

• Bachelor's degree in Human Resources, Business, Engineering, Computer Science, or related field.
• Master's degree preferred but not mandatory.

Preferred Qualifications

• Experience recruiting for AI/GenAI consulting, product, cloud, or startup environments.
• Exposure to executive and leadership hiring.
• Experience hiring across multiple U.S. locations.
• Knowledge of U.S. employment regulations and work authorization processes.
• Ability to travel occasionally (up to 10-15%) for hiring events, leadership meetings, and candidate engagement activities.

Success Metrics

• Quality of Hire
• Time-to-Fill
• Offer Acceptance Rate
• Diversity Hiring Outcomes
• Candidate Experience Scores
• Pipeline Readiness for Critical AI Roles