IT Product Manager (AI)

Location: Santa Clara, California, United States of America; office-based

Salary: $164,000–$266,000 annually, plus potential bonus and restricted stock units

Company

A cybersecurity company developing technology to protect digital environments and improve enterprise security operations.

What you will do

• Define and execute an end-to-end product strategy for the post-sales customer ecosystem across Salesforce, Gainsight, Clarizen, custom applications, and telemetry data lakes.
• Map customer journeys from purchase and entitlement activation through deployment, product consumption, technical support, and account health management.
• Design agent-native workflows and autonomous or human-in-the-loop AI agents for deployment issues, license imbalances, feature adoption gaps, and customer support.
• Use machine learning, advanced analytics, and real-time telemetry to identify support patterns, prioritize platform improvements, and anticipate customer needs.
• Build AI-assisted prototypes and living specifications to validate data flows and API logic before engineering delivery.
• Establish KPIs for AI-powered features, including model performance, data quality, agent execution accuracy, and ROI.

Requirements

• 12+ years of product management experience in enterprise technology, IT post-sales, or customer experience.
• Experience managing end-to-end post-sales processes across entitlement management, consumption, activation, provisioning, customer success, and support.
• Deep expertise in agentic AI, autonomous workflows, human-in-the-loop validation, and generative conversational AI.
• Experience integrating AI solutions with Salesforce, Gainsight, Clarizen, or custom enterprise applications.
• Strong communication skills for working with engineering teams and executive leadership.
• Proficiency in Agile and Scrum, including sprint planning and backlog refinement for AI or advanced data products.

Nice to have

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Strong emphasis on AI and machine learning.

Culture & Benefits

• Most teams work from the office full time, with flexibility when needed.
• Employee benefits are available, with compensation potentially including restricted stock units and a bonus.
• Work is centered on collaboration, innovation, execution, integrity, and inclusion.