M+E Technology Job Board

Head of Search Science & Analytics

  • Full Time
  • San Jose, CA
  • Applications have closed

Adobe

The Head of Search Science and Analytics will manage search science and analytics for Adobe’s search offerings, creating a center of excellence for information retrieval, search relevance, ranking, machine learning, multilingual query processing, natural language processing, visual search, big data analysis, data-driven improvement, search metrics, commerce search optimization, and A/B testing. This leader will interface with multiple engineering teams in the context of allowing users to search various files, creative assets, webpages, and other assets stored in Adobe’s Creative Cloud, Document Cloud and Experience Cloud This leader will define and drive the implementation of the full range of search science algorithms, working with key product stakeholders. This role is responsible for optimizing search in Adobe Stock and other key search use-cases, defining key metrics, and implementing common relevance and query processing frameworks. Experience in web or commerce search strongly preferred.

What you’ll do

This leader will have both strong technical skills and business capability to define and build product in Adobe applications. This leader will be hands-on, building a small team and working with the search backend team and product teams throughout Adobe to define best practices and develop common relevance and query processing approaches, ensuring consistency of search behavior. The leader will drive development of machine learning algorithms, query processing algorithms, and other areas of search science while demonstrating continual improvement in search metrics. S/he will have an eye on end user needs and experience, while contributing to the business objectives. This leader will define product, lead development, and drive towards an improved and consistent search behavior across applications.

This leader has extensive experience in search science, preferably in web and/or commerce contexts, has experience managing top notch data scientists and engineers, and has excellent stakeholder management skills.

What you need to succeed

BS or MS in Computer Science or related field (MS strongly preferred)
10+ years of technical leadership experience with demonstrated expertise in search science
Demonstrated ability to influence technical and non-technical stakeholders
Team leadership experience building science engineering teams from the ground up that can scale
Proven ability to effectively manage in a high growth, matrixed organization
Track record of delivering high quality, industry leading products on time
Strong experience in data-driven product iteration and large scale experimentation
Extensive experience with big data, Hadoop, Hive, Pig or Spark, search theory, data science
Experience with Elasticsearch and/or SolR strongly preferred