Our Mission
At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Job Summary
Your Career
Join the Cortex Product Analytics team and help shape product strategy through data and AI. As a Principal Product Analyst, you will transform product usage, customer behavior, and business insights into recommendations that influence roadmap decisions, improve customer outcomes, and drive product adoption.
Working closely with Product, Engineering, Design, GTM, and Customer Success, you will define trusted product metrics, leverage AI to accelerate analysis and uncover insights, and enable data-informed decision-making across the Cortex portfolio.
Your Impact
Partner with cross-functional teams to define product success metrics and answer strategic business questions.
Analyze product usage and customer behavior using data and AI to identify opportunities to improve adoption, engagement, and customer outcomes.
Translate complex datasets into actionable insights that influence product strategy and roadmap decisions.
Define and maintain trusted product KPIs, executive dashboards, and scalable measurement frameworks.
Partner with Engineering and Product Management to ensure high-quality product instrumentation and analytics.
Leverage AI-powered analytics and automation to improve insight generation, reporting efficiency, and decision-making.
Champion analytics and AI best practices to foster a culture of data-informed product development.