Manager, Software Engineering (Data)

• Drive the strategy, design, and delivery of scalable data platforms powering business intelligence, predictive analytics, and LLM capabilities.
• Drive the successful completion of complex projects across multiple domain teams.
• Provide senior technical leadership through architecture decisions, design reviews, and code reviews.
• Drive the adoption of Generative AI tools to improve productivity, code quality, and innovation.
• Partner with Product Management and Design to translate complex business requirements into scalable technical solutions.
• Manage, mentor, and grow a distributed team of software and quality engineers.
• Own production health for your teams’ services including on-call rotations, incident response, and post-incident reviews.
• Lead operational excellence initiatives to improve observability, resiliency, automation, and alignment with SLOs and SLAs.

• Bachelor’s Degree in Computer Science, Information Technology or a related field, or commensurate professional experience.
• 10+ years of professional software experience, including 3+ years managing engineering teams.
• Proven experience delivering customer-facing Enterprise SaaS products at scale.
• Strong hands-on or architectural experience with modern data platform tooling like Apache Airflow, dbt, Kafka, AWS services.
• Success leading a data engineering team through complex challenges.
• Strong knowledge of modern data architecture, ETL/ELT processes, and data modeling best practices.
• Strong knowledge of SQL, Python, and Typescript.
• Knowledge of AI tools including Langchain, Open AI Agents, and MCP APIs.
• Excellent communication skills and understanding of startup environment challenges.

Pay range: $160K - $195K

• Excellent PTO program
• Great health benefits
• Casual and friendly environment
• Remote work
• Supportive leadership team