LinkedIn, the world's largest professional network, is seeking a Staff IT Program Manager - Automation to join their Productivity Engineering Operations (PE Ops) organization. This role offers an exciting opportunity to drive automation initiatives that transform IT service delivery and employee experience.
The position, based in Mountain View, CA or Omaha, NE, follows LinkedIn's hybrid work model, combining remote work with office presence. As part of the PE Ops team, you'll work across LinkedIn's infrastructure, security, and business products to optimize IT service delivery through automation and innovation.
Your primary focus will be identifying, developing, and maintaining automation programs for PE Operations. This involves streamlining workflows, eliminating manual tasks, and implementing innovative solutions that enhance operational efficiency. You'll leverage emerging technologies, including AI tools, to create more efficient support workflows and improve the overall IT operations experience.
Key responsibilities include developing scalable processes for identifying automation opportunities, collaborating with IT support leaders to analyze workflows, and partnering with engineering teams to recommend product enhancements. You'll create project charters, manage resources, and drive projects to completion while maintaining strong partnerships with technology and business leaders.
The ideal candidate brings 5+ years of experience in IT program management or similar roles, with strong expertise in process automation technologies and IT service management tools. You should have a proven track record of leading successful automation initiatives and the ability to influence senior leaders through data-driven strategies.
This role offers competitive compensation ($127,000 - $207,000) and the opportunity to work with cutting-edge technologies while making a significant impact on LinkedIn's operational efficiency. Join us in transforming how the world works by creating innovative solutions that enhance IT service delivery and employee productivity.