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.
Where You Will Focus
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
Qualifications :
Basic Qualifications
- 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
Preferred Qualifications
- 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
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $116000 to $189000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
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 h...
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.
Where You Will Focus
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
Qualifications :
Basic Qualifications
- 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
Preferred Qualifications
- 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
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $116000 to $189000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race color religion creed gender national origin age disability veteran status marital status pregnancy sex gender expression or identity sexual orientation citizenship or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening apply for a position or participate in the interview process connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
- Documents in alternate formats or read aloud to you
- Having interviews in an accessible location
- Being accompanied by a service dog
- Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However non-disability related requests such as following up on an application will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
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