Staff Product Manager

1 hour, 10 minutes ago
Lead
Product Management
Kaseya

Kaseya

Kaseya provides integrated IT management and security solutions for MSPs and SMBs, enabling centralized IT operations, remote management, cybersecurity, and automation.

IT Services
1K-5K
Founded 2000
$567M raised

Description

  • Define the long-term product vision and strategy for foundational platform capabilities such as business and operational insights, AI agents, and conversational assistants.
  • Enable data integration and standardization across Kaseya's M&A portfolio, ML infrastructure, and unified customer data and API model.
  • Lead build-versus-buy analysis for core platform components including the data lake/lakehouse, streaming infrastructure, ML platform, and analytics engine.
  • Establish data governance frameworks that support innovation while ensuring compliance with GDPR, CCPA, and global privacy requirements.
  • Own the AI/ML product strategy across the platform and prioritize investments in predictive maintenance, threat detection, operational automation, and customer insights.
  • Drive responsible AI requirements including bias and fairness standards, explainability, human-in-the-loop patterns, and auditability.
  • Partner with data science leadership to translate model capabilities into product features and customer value narratives.
  • Serve as the primary platform PM liaison to 4–6 Kaseya product lines and manage stakeholder engagement across competing demands.
  • Influence adjacent product teams to align data emission, telemetry, and integration patterns with platform standards.
  • Mentor junior PMs and represent the Intelligence platform in executive forums.

Requirements

  • 5+ years of product management experience, with at least 5 years on identity, data platforms, AI/ML products, or developer/runtime platforms at scale.
  • Proven track record of driving platform strategy in a complex, multi-product B2B environment, ideally one shaped by M&A and technical debt.
  • Deep experience productizing AI/ML to solve complex data challenges, including autonomous agents, predictive insights, or intelligent categorization.
  • Familiarity with modern data architectures such as data lakehouse patterns, streaming (Kafka/Kinesis), feature stores, MLOps, and API-first platform design.
  • Demonstrated experience influencing without authority across a large organization and aligning competing stakeholders on a shared platform vision.
  • Exceptional communication and strategic thinking, including the ability to write crisp strategy docs, present to C-suite leaders, and run structured decision-making processes.
  • Familiarity with MSP business models, IT management workflows, or cybersecurity is strongly preferred.
  • Experience with data privacy compliance such as GDPR and CCPA embedded in product and engineering processes is preferred.

Interested in this position?

Apply directly on the company website

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