Principal Staff Software Engineer - Enterprise Innovation

LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce.
$203,000 - $333,000
Backend
Principal Software Engineer
Hybrid
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS

Description For Principal Staff Software Engineer - Enterprise Innovation

LinkedIn is seeking a Principal Staff Software Engineer to join their Enterprise Innovation team, focusing on shaping the future of work through AI, automation, and knowledge systems. This role combines technical leadership with hands-on development, requiring expertise in AI/ML, distributed systems, and enterprise software. The position offers an opportunity to impact employee productivity across LinkedIn while working with cutting-edge technologies. The role demands both technical excellence and leadership skills, as you'll be guiding teams and architecting solutions that scale across the organization. The hybrid work environment provides flexibility while maintaining team collaboration. With competitive compensation and comprehensive benefits, this role represents a chance to drive innovation at one of the world's largest professional networks. The ideal candidate will bring deep technical expertise, proven leadership experience, and a passion for solving complex enterprise challenges through technology.

Last updated 5 days ago

Responsibilities For Principal Staff Software Engineer - Enterprise Innovation

  • Lead the design and development of AI-driven platforms and solutions to improve employee productivity
  • Develop and implement automation tools and systems to streamline workflows and processes
  • Create intelligent knowledge systems that provide employees with timely information
  • Collaborate with product managers, designers, and other engineers to deliver high-quality software
  • Mentor and guide junior engineers, fostering a culture of continuous learning
  • Stay updated on advancements in AI, automation, and knowledge systems

Requirements For Principal Staff Software Engineer - Enterprise Innovation

Python
Java
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 10+ years of experience in software design/development
  • 7+ years in a technical leadership role overseeing large, cross-functional teams
  • 7+ years experience in programming skills in languages such as Python, Java, or C++
  • Strong problem-solving and analytical skills
  • Experience with large scale automation across key enterprise personas
  • Background with cloud platforms (AWS, Azure, Google Cloud)
  • Strong knowledge of data science and big data technologies

Benefits For Principal Staff Software Engineer - Enterprise Innovation

Medical Insurance
Vision Insurance
Dental Insurance
401k
Parental Leave
Commuter Benefits
  • Medical insurance
  • Vision insurance
  • Dental insurance
  • 401(k)
  • Paid maternity leave
  • Paid paternity leave
  • Commuter benefits
  • Student loan assistance
  • Tuition assistance
  • Disability insurance

Interested in this job?

Jobs Related To LinkedIn Principal Staff Software Engineer - Enterprise Innovation

Principal Product Manager, Trust Tools

Lead LinkedIn's Trust Tools product strategy in Bangalore, focusing on content moderation and platform integrity while ensuring trust, privacy, and fairness for global users.

Principal Staff Software Engineer

Principal Staff Software Engineer role at LinkedIn, focusing on transforming marketing ads and driving innovation in the Assets, Formats, and Placements team.

Principal Staff Technical Program Manager

Lead end-to-end execution of critical AI platform investments at LinkedIn as Principal Staff Technical Program Manager in Mountain View, CA.

Principal Staff Technical Program Manager

Principal Staff TPM role at LinkedIn focusing on AI/product platforms for Products and Services Marketplaces

Principal Staff Software Engineer - Validation & Resilience Engineering

Principal Staff Software Engineer position at LinkedIn focusing on validation and resilience engineering for large-scale distributed systems.