Senior Program Manager, Recruiting Performance Partner

LinkedInSan Francisco, CA
4d$116,000 - $189,000Hybrid

About The Position

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. This role will be based in San Francisco, Sunnyvale, Chicago, or New York. At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. AI is reshaping the future of recruiting, but great hiring still depends on humans making great decisions. This role exists to strengthen them. The Senior Program Manager, Recruiting Performance Partner builds the performance model that helps recruiters and leaders improve outcomes in the flow of work. Instead of one size fits all workshops, this role creates targeted learning plans for cohorts and teams using real performance signals from dashboards, leader input, and interview intelligence. This role is designed for a recruiter who knows the craft and can also see the system behind it. You have carried reqs, coached others, and learned to spot the patterns that affect quality and speed. You know how to use AI to strengthen judgment, test workflows, and scale what works. If you enjoy using real recruiting data to improve performance and help teams hire better, this role lets you do that every day at scale.

Requirements

  • Five or more years of recruiting experience in corporate, agency, or RPO settings with full cycle experience
  • Two or more years coaching or enabling recruiters or hiring teams through coaching roles, training, or peer mentorship
  • Experience analyzing recruiting data such as pipeline conversion rates, time to fill, source effectiveness, or interview quality
  • Working knowledge of AI or LLM tools including prompt building or workflow testing
  • Experience using structured interview frameworks including competency based questions and standardized evaluation criteria

Nice To Haves

  • Ran controlled experiments to measure changes in recruiting processes
  • Applied responsible AI practices including human review workflows and bias monitoring
  • Built coaching playbooks, prompt libraries, or workflow automations adopted by teams
  • Led interviewer calibration or hiring manager enablement programs
  • Partnered with global recruiting teams across regions and compliance requirements
  • Experience with interview intelligence tools such as BrightHire, Metaview, or Grain
  • Suggested Skills Coaching systems design Leader enablement Data storytelling Workflow thinking AI fluency Change adoption

Responsibilities

  • Performance Partnership with TA Leaders and Cohorts Strengthen the human decision makers at the center of recruiting Partner with TA Leaders and recruiter cohorts to align on performance expectations Review selected examples of interview recordings and outreach to identify themes and inform guidance Build simple coaching frameworks that help leaders and teams improve core recruiting skills Turn trends into clear, practical guidance that teams can apply in the flow of their work
  • AI and Data Powered Enablement in the Flow of Work Use analytics and interview insights to deliver timely, relevant guidance aligned to real pipeline moments Build coaching playbooks that show what to do, why it matters, and how to use existing tools Use prompts, automations, and workflows to support better decisions while protecting human judgment
  • Performance System and Instrumentation Partner with Analytics and TA Leaders to track the moments that drive quality Turn performance signals such as screen quality, structured interviews, and stage conversion rates into simple guidance Set shared definitions of success and build feedback loops teams can use to self correct
  • Experimentation and Change Enablement Run short pilots with recruiters and TA Leaders to test improvements in workflows and interview practices Measure impact, scale what works, and retire what does not Build communities of practice and short form learning that reinforce strong habits
  • Responsible AI, Compliance, and Trust Partner with Legal, HR, DEI, and Privacy to ensure fairness and human oversight Provide clear guidance on appropriate use of AI tools Monitor for adverse impact and adjust when needed
  • Cross Functional Partnership and Insight Sharing Work closely with TA Leaders, Ops, and cross functional partners on performance priorities Share examples, proof points, and playbooks that help practices spread Inform ATS, CRM, interview intelligence, and analytics roadmaps based on field learning
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service