Capital One
Director, Tech Recruiting
$206K–$235K
McLean, VA · Director · Full-time · Posted Sep 29, 2026
- Experience
- At least 7 years in HR/recruiting (or a combination), consultative work, and people leadership. Preferred alternatives include 10+ years in HR strategy or Talent Acquisition leadership, 8+ years in people management and leadership development, or 8+ years in strategic consulting or client management.
- Education
- High School Diploma, GED, or equivalent certification. Preferred: Bachelor’s Degree or Military Experience; Master’s Degree or MBA.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization for this position.
About the job
Leads Capital One’s technical talent acquisition strategy and recruiting teams to attract and hire leaders and talent across AI and other technical fields.
What you'll do
- Partner with senior executives on talent acquisition strategy and lead teams hiring technical talent.
- Use data-driven insights to improve recruiting pipelines and address hiring challenges.
- Lead cross-functional efforts to improve candidate experience and recruiting enablement, and promote diversity, equity, and inclusion.
What they ask for
- High School Diploma, GED, or equivalent certification.
- At least 7 years of experience in Human Resources, corporate recruiting, agency recruiting, or a combination.
- At least 7 years of experience in a consultative role.
- At least 7 years of people leadership experience.
Nice to have
- Bachelor’s Degree or Military Experience; Master’s Degree or MBA; PHR or SPHR certification.
- Track record hiring AI, ML, Data Science, and technical talent; 10+ years in HR strategy or Talent Acquisition leadership; 8+ years in people management and leadership development; or 8+ years in strategic consulting or client management.
Pay
$206,000 - $235,100 USD base salary (McLean, VA); performance-based incentive compensation may also be available, with no amount stated.
AI focus
Leads recruiting for AI Engineering, AI, Machine Learning, Data Science, and Applied Research talent.
Model-written summary · the original posting is authoritative