Staff Technical Program Manager, Data/AI Platform Reliability Engineering
AmplifAI Health
This job is no longer accepting applications
See open jobs at AmplifAI Health.See open jobs similar to "Staff Technical Program Manager, Data/AI Platform Reliability Engineering" Techstars.The Site Reliability TPM team at LinkedIn is seeking a Staff Technical Program Manager, a highly visible leadership role. The ideal candidate should have experience in Big Data, Data Analytics, data lakes and strength in data-related infrastructure concepts. In addition to strong technical knowledge, the ideal candidate should thrive in a fast-paced rapidly evolving environment, be passionate about solving ambiguous problems, have a bias towards action and have the aptitude to drive the strategic vision and execution of our transformative initiatives in Big Data Platform, Autonomous Fleet, and Fabric Buildout.
A successful candidate will have led multiple cross-functional technical programs, be familiar with operational best practices and have the vision to help drive strategy, be flexible on implementation details and clever in driving incremental results. This position offers a unique opportunity to lead transformative initiatives in the field of big data and autonomous fleet technologies at LinkedIn. If you are a strategic thinker with a passion for cutting-edge technology, we invite you to apply and contribute to the success of our innovative programs.
This role will be based in Sunnyvale.
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.
Responsibilities
• Help define and drive the strategic roadmap for the Big Data Platform and Autonomous Fleet programs, aligning with business objectives.
• Collaborate with senior leadership to ensure program goals are in sync with the overall organizational strategy, and is able to pivot backed by strong reasoning.
• Provide guidance on architectural and operational dependencies to ensure the successful execution of technically complex initiatives.
• Proactively address issues and challenges that may impact the timeline or quality of deliverables and communicate them across, including executive leadership.
• Develop detailed program plans, ensuring that programs are executed on time and within scope, predict potential risks and proactively develop mitigation strategies to ensure the success of the programs.
• Be the communication hub to enable quick decision making.
Basic Qualifications
• B.S./B.A. Engineering, Computer Science or related technical field, or equivalent practical experience
• 5+ years professional experience in an engineering or technical team, managing technical programs/projects
Preferred Qualifications
• Advanced degree, such as Masters preferred
• 8+ years experience in technical program management, with a focus on big data platforms and autonomous fleet systems
• Experience delivering complex, technically challenging projects
• Understanding of big data technologies (e.g., Hadoop, Spark) and autonomous fleet systems
• Experience with data science, machine learning, and AI technologies
• Communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders
• Presentation skills and experience briefing executive leadership.
• Experience leading and influencing cross-functional teams in a dynamic and fast-paced environment
• Strategic thinking and decision-making skills
• Experience analyzing data, identify trends, and make data-driven decisions
• Proactive problem-solving skills with the ability to navigate through ambiguity
• Experience adapting to changing priorities and thriving in a rapidly evolving technology landscape
Suggested Skills
• Program Management
• Agile Methodologies
• Cross-functional team leadership
• Strategic Roadmaps
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $131,000 to $215,000. 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.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
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: https://lnkd.in/GlobalDataPrivacyNotice
This job is no longer accepting applications
See open jobs at AmplifAI Health.See open jobs similar to "Staff Technical Program Manager, Data/AI Platform Reliability Engineering" Techstars.