Manager, Software Engineering (Data)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Software Engineering (Data) in United States.

This role offers a unique opportunity to lead the development of cutting-edge data platforms that power analytics, AI capabilities, and enterprise-scale applications. You will guide a distributed engineering team in designing scalable, reliable, and high-performing systems while driving innovation in areas such as generative AI and modern data architectures. Working in a collaborative and fast-paced environment, you will partner with cross-functional teams to transform complex business needs into impactful technical solutions. The position emphasizes both strategic leadership and technical excellence, with a strong focus on continuous improvement and operational reliability. You’ll play a key role in shaping the future of data-driven products while fostering a culture of ownership and growth. This is an ideal opportunity for a leader passionate about building high-impact systems and empowering teams to excel.

• Lead the strategy, design, and delivery of scalable data platforms supporting analytics, AI, and enterprise applications
• Oversee complex, cross-functional projects involving multiple engineering domains and data-driven systems
• Provide technical leadership through architecture decisions, code reviews, and design guidance to ensure system scalability and reliability
• Drive adoption of modern technologies, including generative AI tools, to enhance developer productivity and innovation
• Collaborate closely with Product, Design, and other stakeholders to translate business needs into technical solutions
• Manage and mentor a distributed team of engineers, fostering a culture of accountability, ownership, and continuous improvement
• Ensure production health through monitoring, incident response, and continuous optimization in a “you build it, you run it” environment
• Lead operational excellence initiatives focused on observability, automation, and system resilience
• Contribute to shared codebases and collaborate across teams to improve overall platform performance

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field, or equivalent experience
• 10+ years of software engineering experience, including at least 3+ years in engineering management roles
• Proven experience delivering enterprise SaaS products and scalable data platforms
• Strong expertise in modern data tools such as Apache Airflow, dbt, Kafka, and cloud services (AWS ecosystem)
• Solid understanding of data architecture, ETL/ELT processes, and data modeling best practices
• Proficiency in SQL, Python, and Typescript
• Experience with AI technologies, including generative AI tools and frameworks
• Demonstrated ability to lead teams through complex technical challenges and large-scale initiatives
• Strong communication and collaboration skills, with the ability to work effectively in distributed environments
• Experience in fast-paced or startup-like environments with evolving priorities

Benefits:

• Competitive salary ranging from $160,000 to $195,000 annually
• Comprehensive health benefits including medical, dental, and vision coverage
• Generous paid time off (PTO) and flexible leave policies
• Fully remote work environment within the United States
• Collaborative and inclusive company culture
• Opportunities for professional growth and career advancement
• Access to innovative technologies and cutting-edge projects
• Supportive leadership focused on personal and professional development
• Dynamic, fast-growing environment that values creativity and initiative