Senior Engineering Manager, AI Platform (Data Team)

The AI Platform team is building the unified platform that enables machine learning at a massive scale across all products and services. As a Senior Engineering Manager for the AI Platform Data team you will lead the development of the high-leverage data platform used by AI engineers machine learning scientists and product developers. You will be responsible for defining the long-term vision strategy and execution for the data foundation that powers the next generation of AI-driven products. This includes work on cutting-edge technologies like vector databases and knowledge graphs to enhance our data capabilities for advanced AI use cases.

You Will:

• Lead and grow a high-performing team of software engineers fostering a culture of ownership collaboration and engineering excellence.
• Define the roadmap strategy and execution plan for the AI Platforms Feature Engineering and the GenAI Platforms which handles prompt versioning and agent infrastructure.
• Collaborate with AI engineering machine learning science and product teams to understand their data needs and deliver platform capabilities that accelerate development and deployment of traditional AI and Generative models.
• Drive architectural decisions and set technical standards for reliability scalability and performance
• Oversee the end-to-end development life cycle ensuring timely delivery of high-quality robust data solutions.
• Mentor and coach team members providing continuous feedback and career development guidance.
• Manage cross-functional projects and communicate progress risks and challenges to leadership and stakeholders.

You Are:

• A seasoned engineering leader with 5 years of management experience and 8 years of experience building large-scale high-performance data platforms machine learning infrastructure or distributed systems.
• Experienced in hiring managing and mentoring senior software engineers and technical leaders.
• Deeply knowledgeable about data technologies (e.g. Spark Hadoop Flink Kafka distributed databases data warehousing) and best practices for large-scale data processing and storage.
• Skilled at driving technical strategy and roadmap planning in ambiguous and fast-paced environments.
• Able to establish strong collaborative relationships with cross-functional partners and senior leadership.
• Passionate about fostering a positive inclusive and high-energy engineering culture.
• Knowledgeable in the machine learning life cycle (MLOps) and the data requirements for training serving and monitoring models.
• A strong communicator both written and verbal capable of articulating complex technical concepts to a diverse audience.

Preferred Qualifications

• A BS MS or PhD in Computer Science or a related technical field.
• Experience with cloud-based data solutions (e.g. AWS GCP Azure).
• Experience with real-time data processing and stream computing technologies.

Required Experience:

Manager