Sr. Staff Software Engineer, AI Automation (Developer Productivity)

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.

The team is part of the Developer Platform Experience organization with the mission to empower LinkedIn engineers to ship high quality products, with confidence and high velocity. We provide infrastructure, tooling and experiences that enable and promote automatic validations, diagnostics and analytics across various stages of the development lifecycle and various technology stacks. We partner with organizations and engineering teams across the company to build the right strategy and investments that boost engineering productivity and product quality.

As a Senior Staff Software Engineer you will define and lead our company-wide strategy for AI-assisted software development—from vision to adoption. You’ll partner directly with senior engineering and product leadership to transform how thousands of engineers build, test, and ship software. You’ll lead a team of passionate and driven engineers and collaborate across multiple organizations to embed AI into developer workflows, accelerate productivity, and improve software quality through modern, responsible AI integration.

Responsibilities:

• Define the strategy for AI-assisted software development across the company (copilots, test generation, code review, knowledge systems, etc.).
• Lead architecture and technical direction for integrating AI into core developer workflows and internal tooling.
• Partner with senior leaders to align investments, pilot programs, and success metrics for AI-driven productivity.
• Mentor and grow your engineering team focused on applied AI and developer experience.
• Collaborate across organizations—platform, developer tools, infrastructure, research—to align roadmaps and scale adoption.
• Drive measurable outcomes through data-driven experiments (e.g., PR velocity, CFR, quality metrics).

 

 

Basic Qualifications:

• BA/BS Degree in Computer Science or related technical discipline, or related practical experience.
• 5+ years of experience in software design, development, and algorithm related solutions
• 5+ years of experience in programming languages such as Python, Java, C/C++, C#
• 2+ years of experience in an architect or technical leadership position 

Preferred Qualifications:

• BS and 10+ years of relevant work experience, MS and 8+ years of relevant work experience, or PhD and 6+ years of relevant work experience.
• Strong hands-on experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems.
• Development experience with AI tools like Cursor, Claude Code, Github co-pilot
• Deep understanding of AI/ML systems, LLM APIs, or developer productivity platforms.
• Track record of leading cross-org technical initiatives and influencing senior leadership.
• Background in developer platforms, internal tooling, or productivity engineering.
• Experience integrating AI systems into developer workflows (e.g., IDE copilots, CI/CD, documentation automation).
• Experience with change management and developer adoption at scale.
• Strong software architecture, systems design, and programming skills (Python, Java, TypeScript).
• Excellent communication skills—you can articulate complex ideas across technical and executive audiences.
• A growth mindset: curiosity, humility, and drive to explore how AI can reshape software development.
• Experience with large-scale distributed systems and client-server architectures.
• Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.
• Experience leading by influence, formulating and driving technical strategies across various organizations. 

 

Suggested Skills:

• Technical Leadership
• Backend development
• Developer Productivity
• Applications
• Large projects

 

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $181,000 to $297,000. 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.

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 [email protected] 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.