Staff Technical Program Manager

Vancouver · CA Vancouver - 555 · 10+ years experience · Hybrid · Posted Oct 8, 2026

At a glance

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.
Staff Technical Program Manager

Kaseya is 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.

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
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

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
10+ years of experience leading complex technical programs in SaaS, cloud, or enterprise software environments
Experience managing programs that involve data engineering, ML infrastructure, AI/ML product delivery, or data platform development
Proven ability to influence across organizations without direct authority
Strong communication, analytical, and problem-solving skills
Ability to operate effectively in fast-paced, ambiguous environments

Hands-on familiarity with modern data stack technologies (e.g., Snowflake, dbt, Spark, Kafka, Airflow) or ML/AI platforms (e.g., SageMaker, Vertex AI, MLflow, or similar)
Experience coordinating LLM integration, RAG pipelines, or AI feature delivery in a product context
Experience with platform engineering, cloud infrastructure, or data governance programs
Familiarity with Agile or hybrid delivery methodologies in data and ML contexts