Demo

Technical Program Lead - Recruiting Expertise

LinkedIn
Mountain View, CA Full Time
POSTED ON 12/28/2025
AVAILABLE BEFORE 2/3/2026
Company Description

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.

Job Description

This role will be based in the San Francisco office.

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.

We are building an AI product experience that reimagines how companies hire by combining high-quality human expertise with intelligent workflow automation. The mission is to help companies hire faster and more effectively with an AI-driven agent that orchestrates sourcing, screening, outreach, and more under the guidance of a recruiting expert.

This role will decide the end-to-end design of hiring workflows, and the operational systems that bring them together. You’ll work closely with cross-functional partners across product, engineering, design, data science, and operations to translate real-world hiring workflows into scalable automation. You will also partner with recruiters and with clients to understand needs, validate new workflows, and ensure a high-quality experience for everyone who interacts with the product.

This is a unique opportunity to define the future of hiring—productizing years of recruiting expertise into a world class hiring product.

Responsibilities

  • Define and translate hiring workflows, sourcing strategies, messaging patterns, and client-service processes into structured systems that an AI agent can automate or augment.
  • Partner with engineering and design to specify decision logic, handoff rules, agent behavior, and automation triggers.
  • Monitor product performance, including funnel health, time-to-action, fill velocity, and quality metrics.
  • Influence and coach internal stakeholders on playbooks, performance expectations, and operational standards.
  • Participate in key client conversations to understand hiring needs and identify workflow gaps or opportunities for improvement.
  • Represent in customer interactions and synthesize insights for product development.
  • Build scalable processes and SLAs across sourcing, screening, outreach, and submission workflows.
  • Review experiments, QA automation outputs, and iterate rapidly to improve quality and efficiency.
  • Work with product, engineering, design, and operations teams to bring new workflow automation ideas to life.
  • Operate as a full-stack builder using AI-powered tools for analysis, prototyping, and experimentation.


Qualifications

Basic Qualifications

  • BS/BA Degree or equivalent experience
  • 7 years of experience in recruiting or talent acquisition in agency setting
  • 3 years leading a team of recruiters or experience founding/operating a staffing firm


Preferred Qualifications

  • Experience working directly with engineer teams
  • Familiarity with generative AI and agentic tools
  • Deep experience with full-cycle recruiting for professional roles (e.g., engineering, product, design, corporate)
  • Strong operational and systems-thinking mindset; ability to convert unstructured workflows into repeatable processes
  • Excellent client-facing communication and consultative skills
  • Proven success designing recruiting playbooks, capacity models, or service quality standards
  • Demonstrated ability to launch 0→1 processes or operational models


LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $250,000 to $350,000. 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 https://careers.linkedin.com/benefits

Additional 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 accommodations@linkedin.com 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 LinkedIn's 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: https://lnkd.in/paytransparency.

Global 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: https://legal.linkedin.com/candidate-portal.

Salary : $250,000 - $350,000

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