Senior Manager of Data Engineering, Hims & Hers

• Bachelor's degree in Computer Science/Engineering or related field
• 10+ years of experience in backend or data engineering, including deep expertise in data pipelines, distributed systems, and analytics infrastructure
• 3+ years of engineering leadership experience managing managers or senior technical leads
• Strong command of SQL and Python, with practical experience using Databricks, Spark, Kafka, and/or other modern data platforms
• Proven track record of leading technical strategy, making architectural decisions, and delivering large-scale systems with cross-functional impact
• Experience hiring and growing senior engineering talent while fostering a high-performance, values-driven team culture
• Excellent communication and collaboration skills with experience influencing both technical and executive audiences
• Demonstrated success aligning multiple teams around a shared vision and navigating ambiguity and organizational change

Desirable

• We’re looking for a Sr Manager of Data Engineering to lead and scale our Data and ML Infrastructure teams at Hims & Hers
• This role goes beyond day-to-day squad management—it's about building technical strategy, developing engineering leaders, and driving long-term data platform evolution in close partnership with Product, Analytics, and Infrastructure leadership
• As a Senior Manager, you will lead multiple squads or a domain area responsible for powering business-critical data pipelines, enabling ML workflows, and scaling our analytics infrastructure
• You’ll set the technical vision, foster engineering excellence, and empower senior ICs and managers to deliver durable systems that balance speed, quality, and cost
• You will also play a key role in recruiting and retaining exceptional talent, coaching senior engineers and EMs, and influencing cross-functional strategic decisions that shape the direction of the company
• Lead and scale a team responsible for large-scale data and ML infrastructure, supporting both real-time and batch processing systems
• Define and drive technical strategy across multiple squads, ensuring systems are reliable, scalable, and aligned with long-term business goals
• Guide the implementation of best-in-class engineering practices, including robust testing, SLAs, monitoring, and data quality enforcement
• Set a high bar for technical excellence, promoting clean architecture, code quality, and maintainability through code reviews and hands-on mentorship
• Coach and develop senior individual contributors, fostering an inclusive and high-performing engineering culture
• Act as a thought partner to cross-functional leaders in Product, Analytics, and Infrastructure, shaping roadmap priorities and delivering measurable business outcomes
• Continuously evaluate and recommend new tools, frameworks, and methodologies to improve team efficiency and system performance
• Identify and resolve systemic issues in workflows, proactively recommending and implementing process improvements
• Actively recruit and retain top talent, manage performance and development, and scale team capacity through smart workforce planning
• Demonstrate strong written and verbal communication, listening with empathy and sharing context with clarity across technical and non-technical stakeholders
• Champion operational excellence, ensuring system reliability and continuous improvement in delivery practices