Sr. Staff Technical Program Manager, Core AI (Mountain View, CA | New York, NY)

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.

*** This role may be located in either Mountain View, CA or New York, NY. ***

The LinkedIn Core AI organization is dedicated to transforming the professional world through innovative artificial intelligence solutions. We aim to enhance the experiences of over a billion members worldwide, enabling them to connect, learn, and grow in unprecedented ways. We develop next generation AI technologies that understand the unique needs of professionals and proactively assist them in achieving their goals.

Core AI has embarked on a groundbreaking initiative to develop agentic models that will redefine how our members interact with the LinkedIn platform. We are building advanced AI agents that exhibit reasoning, planning, and interaction capabilities. These agents will power new features and experiences that anticipate professionals' needs, automate complex tasks, and provide personalized guidance, ultimately shaping the future of work.

The Senior Staff Technical Program Manager (TPM) will have the opportunity to drive cutting-edge improvements to our advanced machine learning applications and platforms. You will own and drive key areas of LinkedIn’s Core AI org-wide initiatives across LinkedIn’s products powering tens of millions of users. You will collaborate with product and engineering teams across LinkedIn to lead and deliver high impact and cutting edge AI products. The LinkedIn TPM role is highly diversified and includes initiating, planning and executing intermediate to large scale, cross-functional and company-wide programs.

Are you passionate about machine learning at scale? Do you enjoy helping internal and external customers solve complex problems? The successful candidate will be technically strong, have a solid track record of program management leading large scale technical Data and AI programs, possess excellent communication, will have worked with a large number of customers to drive adoption, and will have demonstrated excellent leadership, along with superior organizational and communication skills.

Responsibilities:

• Own and drive key cross functional, technical AI and engineering initiatives across LinkedIn.
• Ability to influence senior leaders, empower, build strategic relationships and align people across a broad variety of job functions through relationships.
• Develop strong partnerships with engineering and product management leaders and build the necessary subject matter expertise.
• Take ambiguous technical problems, formulate plans and drive teams to deliver successful results.
• Understand the long term implications of architectural and technical changes, while not losing focus on the short term deliverables.
• Lead efforts to identify risks, resolve key project conflicts, and establish appropriate resolution paths.
• Continuously improve and scale the organization. Improve processes where needed, while being cognizant of not slowing down engineering teams.
• Create a collaborative work environment that fosters shared understanding, transparency, mastery, autonomy, innovation and continuous learning.
• Analytical and truth seeking. Ability to understand sophisticated concepts and make reasoned decisions objectively.
• Excellent written and verbal communication skills, including high emotional intelligence.
• Fill in gaps across roles and functions as needed, performing as an adaptive problem solver
• Experience with or solid understanding of end-to-end agile software development.
• Coach and mentor others on the team.

Basic Qualifications:

• 7+ years of experience in Technical Program Management
• B.S./B.A. degree in a technical field, or equivalent practical experience
• Experience managing AI programs

Preferred Qualifications:

• Experience managing Agent evaluation and/or agent memory programs
• Past software engineering experience
• Coding proficiency
• Experience managing large AI programs and leading multiple TPMs.
• Technical program management experience in the tech industry.
• Significant experience working with software engineering leadership, technical teams, and individual contributors.
• Passion about being an indispensable part of a great product.
• Ability to communicate authoritatively at a sufficient technical depth.
• Strong verbal and written communication.
• Passionate about learning new concepts and technologies.
• Hands-on software development experience.
• Experience on building foundational models in a large scale environment.

Suggested Skills:

• Technical Program Management
• Technical leadership
• Data subject matter expertise
• AI programs
• Software Engineering

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 $171,000 - $280,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional 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.

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