Jobgether

Principal Technical Talent Advisor

US · Principal

Sponsorship not specifiedDetected 1 day ago

Machine LearningComplianceNegotiationRecruitingLeadershipCommunicationMentoring

About the role

This role is a strategic opportunity for an experienced technical recruiting leader to shape how world-class engineering talent is identified, engaged, and hired.
The position combines hands-on executive recruiting with broader talent acquisition leadership, market intelligence, and operational excellence initiatives.
This role is ideal for a recruiting expert who thrives in complex environments and enjoys creating lasting impact through people and processes.

Opportunities to collaborate with global teams and build meaningful professional connections.
Develop proactive sourcing strategies using market intelligence, talent analytics, and industry insights to identify and attract exceptional candidates.
Coach hiring managers and leadership teams on talent market trends, hiring approaches, interview design, and candidate assessment practices.
Build scalable recruiting programs and processes that improve technical hiring quality, consistency, and efficiency.
Design structured interview frameworks and candidate experiences that promote fair, effective, and inclusive hiring decisions.
Partner with cross-functional stakeholders including HR, compensation, finance, operations, and talent acquisition teams to deliver successful hiring outcomes.

The ideal candidate brings deep expertise in technical recruiting, strong business judgment, and the ability to influence senior stakeholders in a fast-moving technology environment.
Extensive full-cycle technical recruiting experience focused on software engineering, AI/ML, technical program management, and engineering leadership roles within technology or technology-adjacent organizations.
Proven experience partnering with VP-level executives, senior business leaders, HR teams, and cross-functional stakeholders.
Strong understanding of modern technical talent markets, sourcing strategies, candidate engagement, and competitive hiring practices.
Experience mentoring recruiters and leading collaborative talent acquisition programs.
Exceptional communication, negotiation, and influencing skills, with the ability to navigate complex hiring decisions.
Strong analytical capabilities, including experience with talent intelligence, market mapping, recruiting metrics, and data-driven decision-making.
Proficiency with applicant tracking systems, candidate relationship management tools, and AI-enabled recruiting technologies.

Experience hiring technical talent across North America and Latin America is preferred.
Experience contributing to global recruiting programs or large-scale talent initiatives is a plus.

Partner with cross-functional stakeholders including HR, compensation, finance, operations, and talent acquisition teams to deliver successful hiring outcomes.

Eligibility to participate in equity and corporate bonus programs.
Comprehensive healthcare benefits, including medical coverage.
Retirement savings program with employer contributions.
Paid sick time, personal time off, and generous leave programs.
Paid parental leave and wellness benefits.
Support for employee development, learning, and career growth.
Lead end-to-end recruitment for complex and high-priority technical roles, including software engineers, machine learning engineers, technical program managers, and engineering leaders.
Manage complex negotiations and executive-level closing strategies, including compensation and equity discussions.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.
Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?

This listing is sourced directly from Jobgether's careers page and normalized into a canonical job model.