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Sr. Staff Technical Program Manager

LinkedIn
Mountain View, CA, United States
$160K-$262K a year
Full-time

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers.

Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights.

We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed.

It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.This role will be based in Mountain View, CA.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

The LinkedIn Infrastructure engineering Technical Program Management Group is looking for a Senior Staff level 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 ranging from physical DCs, networking, storage, compute, observability to Data and AI / ML platforms.

We also contribute to the technical community by open sourcing our latest technologies.The Senior Staff Technical Program Manager (TPM) will have the opportunity to drive cutting-edge improvements to our advanced machine learning infrastructure and 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.

You will collaborate with product and engineering teams across LinkedIn to lead and deliver high impact and cutting-edge solutions.

The LinkedIn TPM role is highly diversified and includes initiating, planning and executing intermediate to large scale, cross-functional and company-wide programs.

The right candidate will have demonstrated solid leadership in leading teams and technical programs to deliver successful outcomes at the intersection of some of the following areas : Data, AI / ML, Infrastructure, Hardware spaces.

The right candidate will have demonstrated solid leadership in leading teams and programs to deliver successful outcomes.

This candidate is expected to perform using best practices for scheduling, monitoring, tracking and execution of technical programs as well as initiating, planning, and executing intermediate-to-large scale, cross functional, and company-wide critical programs.

The ideal candidate will have an excellent balance of people, organizational, and technical skills, and can execute and deliver successfully in situations where the level of ambiguity is high.

Interaction and leadership across functional lines is essential.At this level of professional development, the candidate will be able to concisely articulate all of the interactions and factors that contribute to the final outcome.Responsibilities :

  • Define a strategy for large-scale, multi-phased technical programs in Data and AI platform space that span across various platforms, infrastructure, SRE, 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.
  • Help teams be more efficient, see the big picture, and ensure processes scale appropriately with the company.
  • Partner with VP level leadership on program execution and organization efficiency.
  • Work closely with ML infrastructure engineering to coordinate and deploy features to production. Set the teams up with best-in-class program management practices (Risk management, Stakeholder management, Communication strategy, Conflict resolution, etc.)
  • Create a collaborative work environment that fosters autonomy, transparency, mastery, innovation, and learning.
  • 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.
  • Develop strong partnerships with technology and business leaders.
  • Manage & lead resource planning.Basic Qualifications :
  • 8+ years of full technical time program management experience within Data, AI / ML, Infrastructure domains.
  • B.S. / B.A. in a technical field, or equivalent practical experience.Preferred Qualifications :
  • Thorough knowledge of Infrastructure domains space both in Cloud and On-Prem Data Center settings.
  • Good understanding of fleet modernization and modern cloud technologies (microservices, Kubernetes, etc.).
  • Practical and advanced theoretical understanding of managing the life-cycle of large-scale programs and projects.
  • Strong interpersonal communication skills; ability to work well in a diverse, team-focused environment with other Engineers, PMs, Executives etc.

skilled at cross-functional and cross-organizational communication and ability to challenge leadership when necessary.

  • Experience with software engineering practices and familiarity with coding techniques. Hands-on coding / scripting skills are preferred.
  • Mastery of portfolio / program / project planning and collaboration tools.
  • Organized, attention to detail, focused on uplifting craftsmanship.
  • Ability to traverse both vertically and horizontally in a large organization, and to balance tactical and strategic objectives.
  • Previous experience working with geographically-distributed teams.Suggested Skills :
  • Program Management
  • Cross-functional team leadership
  • Strategic RoadmapsYou 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 $160,000 to $262,000. 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 Equal Opportunity Statement LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here : Please reference and for more information.

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 accommodations@linkedin.

com 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.

Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link : Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants :

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