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# Sr. Data Engineering Manager

- **Company:** Hims, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Batch Processing, Big Data, Software Quality, Code Review, Customer Data Management, Information Engineering, Data Infrastructure, Distributed Systems, Python (Programming Language), Software Architecture, Azure Machine Learning, SQL Databases, Apache Spark, Reliability of Systems, Backend, Information Technology, Apache Kafka, Machine Learning Operations, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_6a7363d58f19f6cbc5a150f08500f7c4

## About the Role

* 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

Nice To Have:

 * Experience building ML platforms or enabling ML workflows in production
 * Familiarity with customer data platforms, event instrumentation, or observability practices
 * Prior work scaling infrastructure in a regulated or high-compliance environment (e.g., healthcare, fintech)
 * Background in budget planning, vendor negotiations, or infrastructure cost optimization

## Description

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.

You Will

 * 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