Staff Technical Program Manager
Role Overview
The Staff Technical Program Manager leads large-scale cross-functional programs across Kaseya's Data and AI Platform organization.
This is a senior individual contributor role focused on execution across data engineering, ML engineering, and applied AI.
The role partners with Engineering, Product, Data Science, Architecture, and Operations leaders to improve alignment, surface risks, and deliver initiatives.
Key Skills for This Role
Full Job Posting
About Kaseya
Kaseya provides AI-powered IT management and cybersecurity software for managed service providers and internal IT organizations.
Its platform supports IT management, security, and automation; the company serves customers in more than 20 countries and manages over 15 million endpoints.
Role Overview
The Staff Technical Program Manager leads large-scale cross-functional programs across Kaseya's Data and AI Platform organization.
This is a senior individual contributor role focused on execution across data engineering, ML engineering, and applied AI.
The role partners with Engineering, Product, Data Science, Architecture, and Operations leaders to improve alignment, surface risks, and deliver initiatives.
Strategic Program Leadership and Execution
- Lead enterprise-scale data and AI platform programs across engineering and product organizations; define plans, milestones, dependencies, and outcomes.
- Influence prioritization, sequencing, and delivery strategy with Data and AI leadership.
- Coordinate Data Engineering, ML Engineering, Applied AI, Product, Security, and Infrastructure teams.
- Establish governance, operating cadences, and execution frameworks; partner with technical leaders on trade-offs and architectural decisions.
Risk and Program Visibility
- Identify risks involving model readiness, data quality, pipeline reliability, and infrastructure dependencies; drive mitigation and issue resolution.
- Manage dependencies across data platform, product engineering, and shared services; escalate with context and recommendations.
- Report milestones, risks, blockers, and program health to executives; build dashboards and reporting frameworks.
- Improve predictability and execution discipline, and contribute to TPM practices and operating models.
What Success Looks Like
Within 12 months, deliver large-scale data and AI platform initiatives predictably.
Improve visibility into risks, pipeline dependencies, model milestones, and program health.
Strengthen alignment across data engineering, ML engineering, and product teams while minimizing delivery surprises.
Build 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 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; able to work in fast-paced, ambiguous environments.
Preferred Qualifications
- Hands-on familiarity with modern data stack technologies such as Snowflake, dbt, Spark, Kafka, or Airflow, or ML/AI platforms such as SageMaker, Vertex AI, or MLflow.
- 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 methods in data and ML contexts.
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