Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing ( eVTOL ) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning , and smart connectivity. Position Overview We are seeking an experienced and results-oriented Senior Talent Acquisition Partner to join our U.S. Human Resources team in Silicon Valley, primarily supporting recruiting across Latin America, including Mexico and Brazil . The ideal candidate brings strong LATAM recruiting experience, excellent stakeholder management skills, and the ability to operate effectively in a fast-paced, global, and cross-cultural environment. This is a full-time position based on-site at XPENG’s Santa Clara office five days per week. Key Responsibilities Full-Cycle Recruiting: Lead the end-to-end recruitment process from talent mapping, headhunting, sourcing, screening, and interview orchestration, through to offer formulation, compensation negotiation, and closing. Strategic Partnership: Act as a trusted talent advisor to business and technical leaders. Conduct intake meetings, define hiring scorecards, and provide regular market intelligence and pipeline analytics. Talent Sourcing & Pipelining: Proactively engage passive candidates through creative direct-sourcing strategies, referral campaigns, executive networks, and professional community engagement. LATAM / Global Expansion Support: Support talent acquisition initiatives across key regional markets, particularly Mexico, Brazil, and broader LATAM, navigating local hiring practices, compliance, and talent market dynamics. Candidate Experience: Champion a seamless, high-touch, and transparent candidate experience that reflects XPENG’s culture of innovation and agility. Employer Branding & Market Intelligence: Continuously track industry trends, competitor movements, and compensation benchmarks across relevant regional markets. Project Management: Strong project-management and prioritization skills, with the ability to manage multiple searches, stakeholders, and deadlines simultaneously. Minimum Qualifications: Experience: 5+ years of full-cycle talent acquisition experience, ideally within fast-paced startups, multinational firms, or other high-growth organizations. LATAM Market Expertise: Strong, hands-on recruiting experience in Latin America, particularly Mexico and/or Brazil, with knowledge of local talent landscapes, hiring practices, employment models, and candidate dynamics. End-to-End Ownership: Proven track record of independently managing and closing mid-to-senior level roles from initial outreach to onboarding. Work Arrangement: Willing and able to work on-site 5 days a week at our Silicon Valley office. Communication: Exceptional verbal and written communication skills; strong executive presence with the ability to influence senior hiring managers. Preferred Qualifications: U.S. Market Experience: Recruiting experience in the U.S. market, with knowledge of U.S. employment regulations, standard compensation practices (equity/RSUs, bonuses), and candidate closing dynamics. AI & Advanced Tech Recruiting: Strong, proven background recruiting for niche AI / Machine Learning, Computer Vision, Autonomous Driving, Robotics, or Core Software Engineering talent is a huge plus. Language Skills: Professional fluency in Spanish and/or Portuguese is highly preferred. Bilingual fluency in English and Mandarin (spoken and written) is a plus for cross-border communication and alignment with global headquarters. Cross-Border Agility: Experience working in a global, cross-cultural organization bridging overseas entities and HQ. What do we provide: A fun, supportive and engaging environment. Infrastructures and computational resources to support your ML model development/research. Opportunity to work on cutting edge technologies with the top talent in the field. Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving. Competitive compensation package. Snacks, lunches, dinners, and fun activities. The base salary range for this full-time position is $101,920 - 172,480, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

Requirements

Must-haves

Position Overview
This is a full-time position based on-site at XPENG’s Santa Clara office five days per week.
Full-Cycle Recruiting: Lead the end-to-end recruitment process from talent mapping, headhunting, sourcing, screening, and interview orchestration, through to offer formulation, compensation negotiation, and closing.
Strategic Partnership: Act as a trusted talent advisor to business and technical leaders. Conduct intake meetings, define hiring scorecards, and provide regular market intelligence and pipeline analytics.
Talent Sourcing & Pipelining: Proactively engage passive candidates through creative direct-sourcing strategies, referral campaigns, executive networks, and professional community engagement.
Candidate Experience: Champion a seamless, high-touch, and transparent candidate experience that reflects XPENG’s culture of innovation and agility.
Employer Branding & Market Intelligence: Continuously track industry trends, competitor movements, and compensation benchmarks across relevant regional markets.
Project Management: Strong project-management and prioritization skills, with the ability to manage multiple searches, stakeholders, and deadlines simultaneously.
Experience: 5+ years of full-cycle talent acquisition experience, ideally within fast-paced startups, multinational firms, or other high-growth organizations.
LATAM Market Expertise: Strong, hands-on recruiting experience in Latin America, particularly Mexico and/or Brazil, with knowledge of local talent landscapes, hiring practices, employment models, and candidate dynamics.
End-to-End Ownership: Proven track record of independently managing and closing mid-to-senior level roles from initial outreach to onboarding.
Work Arrangement: Willing and able to work on-site 5 days a week at our Silicon Valley office.
Communication: Exceptional verbal and written communication skills; strong executive presence with the ability to influence senior hiring managers.
A fun, supportive and engaging environment.
Infrastructures and computational resources to support your ML model development/research.
Opportunity to work on cutting edge technologies with the top talent in the field.
Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving.
Competitive compensation package.
Snacks, lunches, dinners, and fun activities.

Nice-to-haves

U.S. Market Experience: Recruiting experience in the U.S. market, with knowledge of U.S. employment regulations, standard compensation practices (equity/RSUs, bonuses), and candidate closing dynamics.
AI & Advanced Tech Recruiting: Strong, proven background recruiting for niche AI / Machine Learning, Computer Vision, Autonomous Driving, Robotics, or Core Software Engineering talent is a huge plus.
Cross-Border Agility: Experience working in a global, cross-cultural organization bridging overseas entities and HQ.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningml

Platform: greenhouse
Effort: quick

Benefits

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