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Kaseya Careers

Staff Technical Program Manager

Vancouver, BC, Canada

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Job details

Experience: 10+ years of experience leading complex technical programs in SaaS, cloud, or enterprise software environments.
Posting language: English
Posted: Oct 8, 2026

Original job description

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.

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More about this job

Responsibilities

The Staff Technical Program Manager will lead large-scale, cross-functional programs across Kaseya's Data and AI platform organization. This role involves driving execution, managing complex technical dependencies, and influencing strategy in partnership with engineering and product leadership.

Requirements

Candidates must have a bachelor's degree in a technical field and over 10 years of experience leading complex technical programs in SaaS or enterprise software environments. Proficiency in data engineering, ML infrastructure, and the ability to influence cross-functional teams without direct authority are essential.

Skills

Technical Program Management
Data Engineering
Machine Learning Engineering
Applied AI
Cross-functional Leadership
Risk Management
Dependency Management
Strategic Planning
Stakeholder Management
Data Governance
Cloud Infrastructure
Agile Methodologies
Product Delivery
Platform Engineering
Executive Reporting

Visa sponsorship

Not detected in the job text

Keywords

Technical Program Manager
Data Engineering
Machine Learning
Applied AI
SaaS
Cloud
Snowflake
Dbt
Spark
Kafka
Airflow
SageMaker
Vertex AI
MLflow
LLM
RAG
Platform Engineering
Data Governance
Agile
Cybersecurity
IT Management
Cross-functional
Strategy
Risk Mitigation
Infrastructure
Product Delivery
Enterprise Software
Data Science
Architecture
Operations

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