Sr. Staff Technical Program Manager (Infrastructure Engineering)

LinkedIn•Mountain View, CA

13h•$166,000 - $271,000•Hybrid

About The Position

LinkedIn 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 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 will be based in Mountain View, CA. The LinkedIn Infrastructure Engineering Technical Program Management Group is looking for a Senior Staff Technical Program Manager (TPM) to join our team which is part of LinkedIn’s Infrastructure engineering organization. Infrastructure engineering consists of over 2,000 engineers who are responsible for infrastructure that runs linkedin.com. The org builds and operates massive-scale systems: physical data centers, networking, storage, compute, observability, and Data and AI/ML platforms. The Senior Staff TPM will drive cutting-edge improvements to our advanced ML infrastructure and AI platforms. You will own and drive key areas of LinkedIn’s AI/ML infrastructure and platforms that power all AI applications across LinkedIn’s products serving hundreds of millions of users. Collaborate with Product and Infrastructure Engineering teams across LinkedIn to deliver high-impact, cutting-edge solutions. Initiate, plan and execute large scale, cross-functional and company-wide programs.

Requirements

8+ years of technical program management experience.
3+ years of technical program management experience in either infrastructure, Data, or ML/AI platform areas.
B.S./B.A. in a technical field, or equivalent practical experience.

Nice To Haves

Demonstrated experience leading teams and technical programs to deliver successful outcomes at the intersection of areas such as AI/ML platforms, Infrastructure, and Hardware.
Thorough knowledge of Infrastructure domains in both Cloud and On-Prem Data Center settings.
Good understanding of model lifecycle management, TensorFlow or PyTorch frameworks.
Proven track record of leading teams and programs to deliver successful outcomes. This includes using best practices for scheduling, monitoring, tracking, and executing technical programs, as well as initiating, planning, and executing large scale, cross-functional, and company-wide critical programs.
Excellent balance of people, organizational, and technical skills, enabling successful execution in high-ambiguity situations.
Strong interpersonal and cross-functional communication skills, fostering collaboration with Engineers, PMs, and Executives, and able to challenge leadership when necessary.
Organized, with attention to detail and a focus on elevating the TPM Craft to the highest standards.
Ability to traverse both vertically and horizontally in a large organization, balancing tactical and strategic objectives.
Previous experience working with geographically-distributed teams.

Responsibilities

Define a strategy for large-scale, multi-phased technical programs in AI platform infrastructure space that span across various platforms (feature engineering, training, serving, retrieval), infrastructure, and product domains, covering both software and hardware aspects.
Lead the technical programs through the full lifecycle process from initiating and planning, to execution, monitoring, and landing impact.
Define, scope, and track ancillary operations projects including capacity planning, hardware procurement, and deployment.
Partner with VP level leadership on program execution and organization efficiency.
Work closely with AI infrastructure engineering to coordinate and deploy features to production.
Implement best-in-class program management practices (e.g., Risk management, Stakeholder management, Communication strategy, Conflict resolution).
Manage and maintain program roadmap and ensure forward momentum with strategic execution.
Manage dependencies and schedule alignment between multiple projects within the program.
Mentor individuals in best practices for planning and execution.
Manage & lead resource planning.