Senior Engineering Manager - Mail Intelligence

About Yahoo Mail

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.

As a global email provider, Yahoo Mail is the ultimate Consumer Inbox with over 220 million monthly active users. We create technology that changes the internet while handling billions of inbound connections per day to manage trillions of messages requiring petabytes of efficient storage.

Yahoo Mail's vision: Be the best consumer email platform to help users run the business of their life.

The Yahoo Mail engineering team develops solutions powering our mail brands, including a next-generation infrastructure that we are 100% moving to a native public cloud architecture.

About the Mail Intelligence Team

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 seek innovative, entrepreneurial, and passionate engineers dedicated to delivering exceptional user experiences. Your passion and ownership mindset are as vital as the high engineering standards, code quality, and world-class architectural skills we uphold.

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.

Sounds Exciting? Then, come join us!!

Responsibilities of the Senior Engineering Manager - Mail Intelligence

• 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.

A Lot About YOU

You have a strong foundation in computer science, data science, or a related field, with a focus on machine learning and AI technologies. You possess strong leadership skills and have a proven track record of managing high-performing engineering teams. 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. You thrive in a collaborative environment, adept at working with geographically distributed teams across global locations. You align team goals with the broader organizational strategy and drive long-term success. You engage effectively with stakeholders to gather requirements, provide updates, and manage expectations. You are committed to mentoring and developing team members, fostering a culture of growth and learning. You excel at tackling complex problems with data-driven approaches. You have a strong focus on understanding and meeting customer needs, ensuring that solutions deliver value to users. You are eager to stay updated with the latest advancements in AI/ML and apply them to improve products and services.

Qualifications

• 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: Commitment to staying updated with advancements in relevant technologies.

Preferred Qualifications

• Cloud Experience: Experience with cloud-native architectures and public cloud platforms, especially Google Cloud Platform (GCP), is preferred.
• Mail Experience: Prior experience working with email systems or related technologies is a plus.
• Excellent communication and collaboration skills, with experience working in a global team environment.

Key skills/competency

• AI/ML Development
• Team Leadership
• Scalable Systems
• Natural Language Processing (NLP)
• Generative AI (GenAI)
• Machine Learning (ML) Algorithms
• Data Engineering
• Project Management
• Stakeholder Management
• Cloud Native Architecture (GCP)