Sr. Staff Technical Program Manager, Core AI
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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 Data and AI 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 Data and AI organization. The Data and AI organization consists of over 1,200 people who design and build the massive-scale distributed data and machine learning platforms, recommendation and search technologies, and analytical tools on which all of LinkedIn’s applications depend. 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 applications and platforms. You will own and drive key areas of LinkedIn’s Data and 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:
• 9+ years professional experience in an engineering or technical team, of which at least 7+ years are managing technical programs/projects
• B.S./B.A. degree in a technical field, or equivalent practical experience
• Experience managing AI programs
Preferred Qualifications:
• Experience managing large 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.
• Knowledge of machine learning applications and platforms, Azure would be a big plus
• Experience on building foundational models on large scale.
Suggested Skills:
• Technical Program Management
• Technical leadership
• Data subject matter expertise
• Artificial Intelligence programs
• Azure domain expertise
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 $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 https://careers.linkedin.com/benefits.
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: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf 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.
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As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
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This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
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