This role will be based in Sunnyvale California. 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.
Core AI is at the heart of LinkedIns AI innovation incubating and delivering the companys most ambitious moonshot initiatives. This Technical Program Management (TPM) will be accountable for driving successful outcomes across these high-impact cross-functional AI initiatives that impact the LinkedIns products.
We are seeking someone who is an expert of the TPM craftsomeone who brings deep technical program leadership operational rigor strategic judgment execution collaboration and impact as Core AI turns bold ideas into reality. We are looking for individuals who have demonstrated technical leadership in development of AI native products from incubation to productization.
Responsibilities:
Own and drive key cross functional technical engineering initiatives across engineering organizations.
Strong organizational skills to prioritize projects without losing sight of the highest priority items.
Take ambiguous problems formulate plans to deliver successful results.
Identify and mitigate risks proactively remove obstacles and handle critical issues.
Develop broad technical knowledge and domain expertise. Understand the long term implications of architectural and technical changes while not losing focus on the short term deliverables.
Continuously improve and scale the organization. Improve processes where needed while being cognizant of not slowing down engineering teams.
Passionate about quality with a data driven approach.
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 software development.
Coach and mentor others on the team.
Qualifications :
Basic Qualifications:
- B.S./B.A. Engineering Computer Science or related technical field or equivalent practical experience
- 7 years professional experience in an engineering or technical team managing technical programs/projects
- Experience with large scale AI systems and Generative AI
Preferred Qualifications:
Experience managing company wide large scale high impact programs.
Experience managing programs in lead capacity where multiple TPMs were involved.
Knowledge of complex technical ecosystems and adequate technical depth.
Experience managing multiple major and concurrent projects/programs executed through multiple geographic locations.
Direct experience working with software engineering leadership technical teams and individual contributors.
Have previously worked on large scale technology initiatives.
Mastered Agile methods and practices through multiple teams (Scrum and Kanban).
Experience managing the lifecycle of large-scale programs and projects.
Excellent communication skills; skilled at cross-functional and cross-organizational communication and attention to detail.
Experience with software engineering practices and familiarity with coding techniques.
Ability to quickly adapt to faster pace shifting priorities demands and timelines through analytical and problem-solving capabilities.
Experience in planning and collaboration tools.
Suggested Skills:
- GenAI
- AI Reasoning and Inferencing
- Data Systems
- Data Privacy
- Embedding
Additional Information :
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 alllevels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $166000 to $271000. 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 Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 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 LinkedIns legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
This role will be based in Sunnyvale California. 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 LinkedI...
This role will be based in Sunnyvale California. 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.
Core AI is at the heart of LinkedIns AI innovation incubating and delivering the companys most ambitious moonshot initiatives. This Technical Program Management (TPM) will be accountable for driving successful outcomes across these high-impact cross-functional AI initiatives that impact the LinkedIns products.
We are seeking someone who is an expert of the TPM craftsomeone who brings deep technical program leadership operational rigor strategic judgment execution collaboration and impact as Core AI turns bold ideas into reality. We are looking for individuals who have demonstrated technical leadership in development of AI native products from incubation to productization.
Responsibilities:
Own and drive key cross functional technical engineering initiatives across engineering organizations.
Strong organizational skills to prioritize projects without losing sight of the highest priority items.
Take ambiguous problems formulate plans to deliver successful results.
Identify and mitigate risks proactively remove obstacles and handle critical issues.
Develop broad technical knowledge and domain expertise. Understand the long term implications of architectural and technical changes while not losing focus on the short term deliverables.
Continuously improve and scale the organization. Improve processes where needed while being cognizant of not slowing down engineering teams.
Passionate about quality with a data driven approach.
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 software development.
Coach and mentor others on the team.
Qualifications :
Basic Qualifications:
- B.S./B.A. Engineering Computer Science or related technical field or equivalent practical experience
- 7 years professional experience in an engineering or technical team managing technical programs/projects
- Experience with large scale AI systems and Generative AI
Preferred Qualifications:
Experience managing company wide large scale high impact programs.
Experience managing programs in lead capacity where multiple TPMs were involved.
Knowledge of complex technical ecosystems and adequate technical depth.
Experience managing multiple major and concurrent projects/programs executed through multiple geographic locations.
Direct experience working with software engineering leadership technical teams and individual contributors.
Have previously worked on large scale technology initiatives.
Mastered Agile methods and practices through multiple teams (Scrum and Kanban).
Experience managing the lifecycle of large-scale programs and projects.
Excellent communication skills; skilled at cross-functional and cross-organizational communication and attention to detail.
Experience with software engineering practices and familiarity with coding techniques.
Ability to quickly adapt to faster pace shifting priorities demands and timelines through analytical and problem-solving capabilities.
Experience in planning and collaboration tools.
Suggested Skills:
- GenAI
- AI Reasoning and Inferencing
- Data Systems
- Data Privacy
- Embedding
Additional Information :
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 alllevels.
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $166000 to $271000. 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 Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 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 LinkedIns legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :
No
Employment Type :
Full-time
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