Technical Program Manager

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 was built by builders - and we’re still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you’re in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.

We’re building teams that grow, perform, and make an impact. If you’re driven by the itch to make things better - a product, a process, a career - you’ll fit right in.

At Kaseya, we don’t just raise the bar. We build it.

Technical Program Management Organization

Kaseya, Vancouver

Reports To:

Director, Technical Program Management

We are seeking an experienced Staff Technical Program Manager to lead large-scale, cross-functional programs across Kaseya’s Data and AI Platform organization.

This is a senior individual contributor role focused on driving execution across data engineering, ML engineering, and applied AI teams — improving delivery predictability, managing complex technical dependencies, and influencing strategy at scale.

You will partner closely with Engineering, Product, Data Science, Architecture, and Operations leaders to drive alignment, surface risks early, and ensure high-quality delivery of initiatives that power Kaseya’s AI-driven product experiences and internal data capabilities.

• Lead enterprise-scale data and AI platform programs spanning multiple engineering and product organizations
• Define execution plans, milestones, dependencies, and measurable outcomes.
• Influence prioritization, sequencing, and delivery strategy in partnership with Data and AI leadership.

• Coordinate execution across Data Engineering, ML Engineering, Applied AI, Product, Security, and Infrastructure teams.
• Drive alignment across stakeholders with competing priorities and complex technical dependencies.
• Establish governance mechanisms, operating cadences, and execution frameworks suited to data and AI program rhythms.
• Partner with senior technical leaders on trade-offs, architectural decisions, and delivery plans.

• Identify organizational, technical, and data-specific risks early — including model readiness, data quality, pipeline reliability, and infrastructure dependencies.
• Drive mitigation planning and resolution of complex cross-functional issues.
• Manage dependency networks across data platform, product engineering, and shared services.
• Escalate effectively with clear context and recommendations.

• Provide executive-level reporting on milestones, risks, blockers, and overall program health.
• Build dashboards and reporting frameworks that give leadership clear visibility into data and AI initiative progress.
• Improve delivery predictability and execution discipline across data and ML work streams.
• Contribute to TPM best practices and operating models for data and AI program management.