Twitter is serving the public conversation, and conversations are happening on Twitter every day about every subject and any event. The Make Everything Searchable team’s job is to help users find the conversation they are looking for, whether it is taking place in Topics, in Spaces, on Profiles or in the next new Twitter product. We are responsible for building the Search experience and ranking the final set of results Twitter users see when they Search.

We are a full stack team whose projects cross a wide range of fields: we work on new user experiences in the Twitter apps, we integrate new primitives into our Search APIs, and are building the system that performs the final ranking of tweets, accounts, and other nouns in search results. In all the areas we work, we use data and experimentation to inform and drive the features we develop.

What You’ll Do:

• We are looking for Engineering Managers that can provide leadership to their teams and guide them in achieving this mission of connecting users with content most relevant to them on Twitter. You will lead diverse, capable, and driven Software and Machine Learning Engineers and align their career ambitions with business requirements and opportunities. You will collaborate broadly to develop products and technologies to achieve the mission.
• Lead the vision and mission for the team. Be responsible for the team’s technical strategy and roadmap.
• Mentor the professional development of your direct reports through personal and performance management.
• Form a healthy, trusting, and collaborative team.
• Build strong relationships with Product, Design, User Research, and other functions; partner with them to deliver value to our users.
• Be an engineering talent magnet to make the team successful in its established mission.

• You have experience in building and or leading search-driven products. 
• You believe in building both teams and products that scale. You care about setting up healthy, distributed teams, and collaborative environments.
• You have led multiple teams with responsibility for machine learning & software development in production.