Senior Engineering Manager, Data Platform & AI

Requirements

• Experience working with data pipelines, analytics platforms, or AI/ML systems
• Experience building or supporting customer data platforms or telemetry systems
• Familiarity with microservices architecture and event-driven systems
• Experience improving engineering processes and team efficiency in a growing organization
• Experience working in cross-functional environments with Product, Security, and GTM teams
• Background in SaaS or platform-based products
• Additional Information

Additional Information

About Kaseya Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success. Backed by Insight Partners , a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide. Founded in 2000, Kaseya has built a culture centered around innovation, accountability, and results. We are a high-growth, high-performance organization that values individuals who are driven, adaptable, and committed to delivering exceptional outcomes for our customers and teammates alike. At Kaseya, success comes from embracing challenges, moving with urgency, and continuously raising the bar. Job Title: Senior Engineering Manager, Data Platform & AI Why Kaseya? Join a fast-growing company that's transforming the IT industry. At Kaseya, you'll have the opportunity to work with cutting-edge technology, collaborate with a dynamic team, and develop your career in a high-impact role. Job Summary We're hiring a Senior Engineering Manager to lead the development of our data platform and API layer supporting Kaseya's unified intelligence initiatives. This role is responsible for building and scaling systems that power analytics, automation, and AI-driven features across our product portfolio. You'll lead a team of engineers, drive delivery of platform capabilities, and work closely with Product and Architecture to turn business needs into reliable, scalable systems. Success in this role means delivering high-impact platform services while improving team execution and system performance over time. Roles & Responsibilities Lead a team of engineers to deliver data platform, API, and AI-related services aligned to product and company priorities Own delivery of key platform initiatives, ensuring systems are scalable, reliable, and meet performance expectations Work with Product and Architecture to define technical approaches and break down requirements into deliverable work Drive engineering standards across the team, including code quality, testing, and operational practices Partner with cross-functional teams (Product, GTM, Security, Legal) to support delivery and adoption of platform capabilities Improve system performance and reliability through monitoring, incident response, and ongoing optimization Support modernization efforts, including reducing technical debt and improving development velocity Track and report on delivery, system performance, and operational metrics for owned services Required Qualifications 10+ years of software engineering experience, including building and operating distributed systems in production 3+ years of experience managing engineering teams (hiring, performance management, delivery ownership) Hands-on experience building or supporting data platforms, API platforms, or backend systems in a cloud environment (AWS, Azure, or GCP) Experience delivering production systems that handle large-scale data processing or high-throughput APIs Ability to translate product requirements into technical plans and deliver against defined timelines

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