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 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
Technical Program Management Organization
Kaseya, Vancouver
Reports To: Director, Technical Program Management
Role Overview
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.
Key Responsibilities
Strategic Program Leadership
- 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.
Cross-Functional Execution
- 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.
Risk & Dependency Management
- 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.
Program Visibility & Operational Excellence
- 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 workstreams.
- Contribute to TPM best practices and operating models for data and AI program management.
What Success Looks Like
Within 12 months:
- Successful delivery of large-scale data and AI platform initiatives with predictable execution.
- Improved visibility into risks, pipeline dependencies, model delivery milestones, and overall program health.
- Strong cross-team alignment between data engineering, ML engineering, and product teams.
- Proactive risk management with minimal delivery surprises.
- Trusted partnerships with Data, AI, Engineering, and executive stakeholders.
Basic Qualifications
- 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.
Preferred Qualifications
- 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.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Skills Required
- 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 involving data engineering, ML infrastructure, AI/ML product delivery, or data platform development
- Ability to influence across organizations without direct authority
- Strong communication, analytical, and problem-solving skills
- Ability to operate effectively in fast-paced, ambiguous environments
- Familiarity with modern data stack technologies such as Snowflake, dbt, Spark, Kafka, or Airflow
- Familiarity with ML/AI platforms such as 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
Kaseya Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kaseya and has not been reviewed or approved by Kaseya.
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Leave & Time Off Breadth — PTO is commonly described around 20–21 days per year plus standard holidays. Some indicate they can fully disconnect while on leave.
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Equity Value & Accessibility — Equity or option grants are available to many roles, offering potential upside beyond base pay. This exposure is presented as a meaningful component of total compensation for some roles.
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Affordable Benefits — The high‑deductible medical plan is described as having low or employer‑covered employee‑only premiums in some cases. This can reduce out‑of‑pocket costs for those who select the HDHP.
Kaseya Insights
What We Do
Kaseya is a premier provider of unified IT management and security software for managed service providers (MSPs) and small to medium-sized businesses (SMBS). Through its customer-centric approach, Kaseya delivers best-in-breed technologies that allow organizations to efficiently manage, secure and backup IT. Kaseya offers a broad array of IT management solutions, including well-known names: Kaseya, IT Glue, RapidFire Tools, Spanning Cloud Apps, ID Agent, Graphus, RocketCyber, TruMethods and Unitrends. These solutions empower businesses to command all of IT centrally, easily manage remote and distributed environments, simplify backup and disaster recovery, safeguard against cybersecurity attacks, effectively manage compliance and network assets, streamline IT documentation and automate across IT management functions. Headquartered in Miami, Florida, Kaseya is privately held with a presence in over 20 countries.
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