Senior Engineering Manager, Data and AI
July 22
🏢 In-office - Manhattan
Description
• Oversee the development and maintenance of scalable data and machine learning infrastructure utilizing tools such as Spark, Airflow, AWS, and Databricks. • Lead and expand a team of data engineers, data scientists and machine learning engineers, ensuring strong career progression and skill development. • Collaborate closely with technical leads to develop long-term visions and innovative strategies for data utilization. • Work in partnership with product, data operations, and technical leadership to align engineering activities with broader company goals. • Drive initiatives aimed at maintaining high-quality data and efficient data operations that support machine learning training and inference processes.
Requirements
• Minimum of 4 years in engineering management, specifically in data-focused roles. • Proven track record of building and leading high-performing engineering teams. • Experience managing a data warehouse, workload scheduling and orchestration framework • Experienced in setting clear objectives and developing strategic roadmaps that align with business goals. • Experience with defining and setting up effective monitoring for data and platform services and solutions • Strong knowledge of data architecture, data modeling, statistics, data science and data infrastructure ecosystems • Strong foundation in data infrastructure tooling (e.g., Spark, Airflow, AWS, Databricks) and machine learning infrastructure. • Focused on building, managing and growing teams, but remain close to the technology. • Excellent communication and collaboration skills, with a proven ability to work effectively with cross-functional teams. • Located in New York or willing to relocate, strong preference for an office-centric culture with a flexible work environment • Passionate about data quality and infrastructure performance, with a focus on delivering high-quality outcomes. • Enthusiasm, energy, and optimism about the future of artificial intelligence and the desire to build incredible AI products.
Benefits
• Unlimited PTO policy • Flexible Work Location policy: all employees are given a bank of time (up to 14 weeks!) of working remotely • Medical, dental, vision plans: we offer plans with 100% coverage of premiums for employees • 12 weeks of parental leave • 401k • Stock options for all of our employees • Equity Commuter benefits • Company-sponsored lunch through Grubhub on a weekly basis • Dog-friendly office
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