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 Sunnyvale, CA, or Bellevue, WA.
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.
You will be responsible for owning and driving requirements for the charter, interacting with customers, developing and driving the technology roadmap, collaborating with partners and leading the team to build and deliver on the objectives of the charter. As a people leader, you will be responsible to inspire your team, nurture an inclusive environment, and enable them to deliver on the business objectives with a high bar of craft, while growing and transforming the talent on the team. As a leader for the charter, you will be responsible to build meaningful relationships with customers, partners and stakeholders across the company, to ensure inputs and delivery on the charter. As an engineering leader, you will be responsible for identifying areas of opportunities to shape the technical aspects of the roadmap, guide deep technical conversations, deep dive into the code and architecture of the platforms your team builds, and direct the team to build with a high craftsmanship bar, mixed with a healthy sense of urgency.
As part of LinkedIn’s Data and AI Platforms organization, the ML Ops and Experimentation team is responsible for how we do experimentation, ramping of features and the entire ML lifecycle at LinkedIn. Our systems are critical for all disciplines at LinkedIn to drive feature development which ultimately impacts LinkedIn’s core business metrics. The ML Ops and Experimentation team is embarking on an ambitious journey to re-imagine how Experimentation and ML Ops is done at LinkedIn. In this position, you will play a critical role in designing and building the next generation of the ML Ops and Experimentation platform, which will play a major role in the continued success of LinkedIn. You will help design and implement a highly scalable and performant platform that the entire company will use to safely ramp features, ML models and configurations.
Responsibilities:
- You will be a professional coach for a team of experienced engineers, and help them realize their potential by setting clear expectations, openly evaluating performance, upholding accountability, and providing challenges to stretch their skills
-You will build large-scale and high-performance platforms
- You will collaborate with stakeholders across engineering, product, design and business leadership, to formulate overall strategy and drive execution
- You will create an inclusive work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for craftsmanship
- You will identify, leverage and evangelize opportunities to establish engineering best practices
Basic Qualifications
- BA/BS Degree in Computer Science or related technical discipline, or equivalent practical experience.
- 3 years of experience in technical management and people management.
- 7 years of industry experience in software design, development, and large-scale software engineering
- Experience programming in object-oriented and/or functional programming languages like Java, Scala, C/C , Python
- Hands on experience developing distributed systems, databases, large scale data systems
Preferred Qualifications
-MS or PhD in Computer Science or related technical discipline
-10 years of industry experience in software design, development, and large-scale software engineering
-7 years of software engineering management experience
-3 years of experience managing front-line managers
-Experience building products and/or platforms from the ground up
-Experience partnering with product leadership on strategy, and creating a world class product experience that delights customers, helps them succeed, and thus grows the business
-Strong analytical and problem-solving skills
Suggested Skills:
-Technical Leadership
-People Management
-Stakeholder Management
-Distributed Systems
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $180,000 to $300,000. 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.
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-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
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