Principal Staff Software Engineer - Advertiser Experience

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.
At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can 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, or this role can be performed remotely in most locations in the country of employment.

LinkedIn Marketing Solutions (LMS) is the largest and fastest growing scaled B2B Advertising Platform in the world. The LMS engineering team is responsible for building and scaling the technology stack that powers our advertising business including advertiser experiences, ad serving platform and ad products.
The Advertiser Experience org within LMS is the face of LinkedIn to advertisers. Through our suite of first party products, Campaign Manager and Business Manager, and API products, we enable enterprises, small businesses, partners and agencies to run successful advertising campaigns and grow their business. We are looking to hire a Principal Staff Software Engineer to partner with the Director of Engineering on scaling our infrastructure and re-imagining the workflows for our advertisers through AI. The role requires customer empathy, thought leadership, technical vision and the ability to inspire a team of engineers in solving challenging problems.
Responsibilities:
You will build and ship software, drive architectural decisions and implementation across LMS teams.
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will lead cross team/cross-functional discussions and drive alignment on product/technology strategy.
You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
You will act as one of the primary domain experts to influence technology choices.
You will lead by example to build a culture of craftsmanship and innovation.
Basic Qualifications:
BA/BS Degree or higher in Computer Science or related technical discipline, or related practical experience
8+ years of programming experience in Java, C++, C# or similar programming languages
8+ years of experience building large-scale distributed systems, applications or similar experience
Preferred Qualifications:
MS or PhD in Computer Science or related technical discipline.
12+ years of relevant work experience.
Experience with strategic planning, executing on a long term roadmap, team development and scaling processes to support business growth.
Experience designing and building infrastructure and backend services at internet scale.
Experience building and shipping high quality work while achieving high reliability.
Experience utilizing data and analysis in articulating technical problems and in arriving at recommendations and solutions.
Experience leading high-impact cross-org initiatives
Experience in working with AI in consumer facing products

Suggested Skills:
* Building large scale backend services
* Technical Leadership
* Ads 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 $195,000 to $320,000. 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 Opportunity Statement
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