Senior Engineering Manager - Mail Intelligence

Overview

Senior Engineering Manager - Mail Intelligence (Finance)

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It's the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

Yahoo Mail is the ultimate consumer inbox with hundreds of millions of users. It's the best way to access your email and stay organized from a computer, phone or tablet. With its beautiful design and lightning fast speed, Yahoo Mail makes reading, organizing, and sending emails easier than ever.

The Mail Intelligence Org develops intelligent capabilities at scale to uncover interests, reveal habits, and personalize user journeys across Yahoo Mail and the entire Yahoo ecosystem.

We manage billions of mail messages with advanced backend systems and algorithms, including NLP, GenAI, and ML techniques. Our infrastructure extracts information, creates enhanced content, and integrates diverse data sources to amplify key insights. This work presents rewarding technical challenges for high-caliber engineers eager to tackle impactful problems.

• 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,…