Join Iru as a Data Engineering ManagerIru is at the forefront of AI-powered security and IT solutions, empowering the world’s most dynamic companies to safeguard their users, applications, and devices. Designed for the AI era, Iru integrates identity and access management, endpoint security, and compliance automation into a seamless platform, delivering control and efficiency back to IT and security teams.Supported by top-tier investors including General Catalyst, Tiger Global, and First Round Capital, Iru secured $100 million in funding in July 2024, achieving a valuation of $850 million. Our esteemed clientele features notable companies like Notion, Replit, and AWS, and we are recognized as one of Forbes’ America’s Best Startup Employers for 2025 due to our commitment to employee engagement and satisfaction.Your Role:We are seeking a passionate Engineering Manager to lead our talented data engineering team. This player-coach position involves both team leadership and active participation in technical initiatives. Expect to allocate approximately 40–60% of your time to hands-on design, development, and evaluation of data pipelines, models, and infrastructure in collaboration with your team. You will report directly to the Director of Data and work closely with cross-functional stakeholders to ensure our data platform evolves in line with the company’s growth trajectory.This role offers significant influence; the systems you architect and the decisions you make will fundamentally shape how our company—and its AI capabilities—perceives its products, customers, and performance metrics.About Our Team:The Data Engineering team is responsible for the infrastructure and pipelines that drive data-driven decision-making across our organization. We aggregate, transform, and deliver centralized data from our diverse product portfolio, enabling Data Science, Analytics, Finance, and Engineering teams to operate swiftly and with confidence in their insights.Our work is vital for the company’s AI and machine learning endeavors. The integrity, timeliness, and organization of the data we provide directly impact the potential of the models and systems built upon it. If you’re eager to create significant leverage for AI at scale, this is where it all begins.We utilize a modern tech stack that includes Kafka, Airflow, Snowflake, dbt, Python, SQL, and AWS. We are at a pivotal moment in our journey: having established a solid foundation, we now seek strong leadership to steer the next phase—modernizing our architecture, enhancing data quality, and improving collaboration across the organization.
Jan 7, 2026
