Sr. Engineering Manager - Sales Solutions
Posted: December 17, 2016
Reference ID: 809193378
LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world's workforce in ways no other company can. We're much more than a digital resume - we transform lives through innovative products and technology.
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We are looking for a driven and entrepreneurial Sr. Engineering Manager to lead one of LinkedIn's product engineering teams. You will play a pivotal role in changing the way sales professionals do their jobs by joining the LinkedIn Sales Solutions team! Our flagship product for sales professionals, Sales Navigator, is leading the revolution for social selling by connecting buyers and sellers in a whole new way. Serving both large enterprises and individual consumers, Sales Navigator is a SaaS product that helps sales professionals target the right people, understand their accounts, and engage at the right time.
If you have a passion for working on product and front end applications and are willing to learn from and inspire your team every day, this is the career opportunity for you. This position is full-time and based in our Sunnyvale offices.
•Lead and manage engineering team(s) with a passion for mentoring and growing top engineering talent •Drive execution of product and technology roadmap by collaborating with team, product management, software architect, and machine learning experts. •Create a collaborative work environment that fosters autonomy, transparency, innovation and learning, while holding a high bar for craftsmanship. •Perform all people management functions
•Deep knowledge of developing web applications using both front-end and back-end components •Strong management skills for planning and executing complex multi-team projects •Experience building and running in production (24x7 environments) large-scale distributed systems. •Ability to recruit for and manage technical teams. •Ability to work with geographically distributed teams •Experience in mobile development will be a plus. •Knowledge and experience of working with machine learning systems will be a plus.