Senior Engineering Manager - Mail Intelligence

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It is the best way to access your email and stay organized from a computer, phone or tablet, with fast performance and a focus on reading, organizing, and sending emails.

• Contribute to Mail Intelligence Mission:
  Support the development of AI/ML capabilities that enhance user personalization and insights within Yahoo Mail and the broader Yahoo ecosystem.
• Innovate and Personalize:
  Build scalable AI/ML solutions that identify user interests and habits, contributing to personalized user experiences.
• Team Leadership:
  Manage a team of 15 engineers, including ML, Data, and Backend Engineers.
• Development and Deployment:
  Oversee the development and deployment of intelligent capabilities at scale, leveraging NLP, GenAI, and ML techniques.
• Collaboration:
  
  Work closely with cross-functional teams, including tech leads and architects, to integrate new AI/ML features and improve existing platforms, ensuring smooth user interactions.
• Commitment to Excellence:
  Maintain high standards in engineering, code quality, and architecture.
• Culture of Innovation:
  Foster innovation, ownership, and continuous improvement within the team.
• Project Management:
  Manage timelines, resources, and deliverables to meet objectives.
• People Management:
  Develop team members through coaching and career development.
• Managing Engineering Outcomes:
  Deliver high-quality engineering outcomes aligned with business needs.
• Managing Stakeholders:
  Engage stakeholders for requirements, updates, and expectation management.
• Balance Tradeoffs:
  Optimize cost, quality, and speed in solutions.

• Educational Background:
  You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies.
• Leadership:
  You possess strong leadership skills and have a proven track record of managing high-performing engineering teams.
• Technical Expertise:
  You have deep expertise in at least two of the following areas - building highly scalable applications, data engineering systems, or machine learning systems - and are passionate about solving complex technical challenges.
• Collaboration:
  
  You thrive in a collaborative environment, adept at working with geographically distributed teams across global locations.
• Strategic Vision:
  You align team goals with the broader organizational strategy and drive long-term success.
• Stakeholder Management:
  You engage effectively with stakeholders to gather requirements, provide updates, and manage expectations.
• Mentorship and Development:
  You are committed to mentoring and developing team members, fostering a culture of growth and learning.
• Problem-Solving Ability:
  You excel at tackling complex problems with data-driven approaches.
• Customer Focus:
  You have a strong focus on understanding and meeting customer needs, ensuring that solutions deliver value to users.
• Continuous Learning:
  You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services.

• Educational Requirement:
  Bachelor’s degree in Computer Science, Data Science, or a related field; a Master’s degree is a plus.
• Leadership: 8+ years of experience, including 3+ years of leadership experience building and leading high-performing engineering teams.
• Technical Expertise:
  Proven leadership of data and ML engineers with strong skills in Python, Java, or C++; proficient in discriminative and generative AI, and big data technologies such as Hadoop and Spark.
• Collaboration:
  
  Effective in working with geographically distributed teams and cross-functional stakeholders.
• Strategic Vision:
  Ability to align team goals with organizational strategy for long-term success.
• Stakeholder Management:
  Skilled in engaging stakeholders for requirements, updates, and expectation management.
• Mentorship and Development:
  Experience in mentoring team members and fostering a culture of growth.
• Problem-Solving Ability:
  Strong analytical skills for tackling complex, data-driven challenges.
• Customer Focus:
  Proven track record of delivering solutions that meet customer needs and add value.
• Continuous Learning:
  Com…