$ cat jobs/principal-product-manager-search-linkedin3-aa0fb1dfb896.json
Principal Product Manager, Search
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. Job Description This role will be based in New York, San Francisco or Mountain View. 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. Our mission. As we enter the biggest transformation of work of our lifetime, the majority of the jobs on this planet will change over the next few years. Figuring out how humans will find their path, and earn a living, is the most important problem in the world right now, and that’s what we’re trying to solve on LinkedIn Search: our mission is to connect every professional to the right people, knowledge, and opportunities. What this role is: this role will own the end-to-end AI ranking for people and company search, helping members quickly find the professionals and organizations most relevant to their goals. This role is absolutely critical to LinkedIn’s business (search is used by hundreds of millions of people), and is essential in helping our members achieve their goals. What you’ll do: in this role, you’ll have the opportunity to build the future of search by combining the foundations of world-class search ranking with the latest advances in AI. You’ll go deep on query and content understanding, lexical and embedd