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Sr. Technical Program Manager, Core AI NY

Job in Mountain View, Santa Clara County, California, 94035, USA
Listing for: LinkedIn
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, IT Project Manager, IT Consultant, Systems Analyst
Salary/Wage Range or Industry Benchmark: 171000 - 280000 USD Yearly USD 171000.00 280000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Staff Technical Program Manager, Core AI  | New York, NY)

Linked In 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.

At Linked In, 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 Linked In 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 Linked In 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 Linked In 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 Linked In’s Core AI org-wide initiatives across Linked In’s products powering tens of millions of users. You will collaborate with product and engineering teams across Linked In to lead and deliver high impact and cutting edge AI products.

The Linked In 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 Linked In.
  • 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…
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