Principal Product Manager - AI Observability (Chronosphere - Remote, Australia)

**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.
**Who We Are**
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!
This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

**Job Summary**
**Our team:**




Chronosphere, a Palo Alto Networks company, is the observability platform built for control in the modern, containerized world. Chronosphere empowers customers to focus on the data and insights that matter by reducing complexity, optimizing costs, and remediating issues faster. Chronosphere reduces data volumes and associated costs by 84% on average while saving developers thousands of hours. Recognized as a leader by major analyst firms, Chronosphere is trusted by the world’s most creative brands, including DoorDash, affirm and Zillow.
**Job Summary**
We are looking for a Principal product manager to lead the team building out AI Observability and Evaluation features used by developers to measure the accuracy, relevance, performance and safety of artificial intelligence models, agents and RAG applications. You'll operate with one foot in the factory and one foot in the field, bridging between our customers and our engineering team. You'll translate the needs of our customers for ensuring their models and agents perform reliably before and during production.

**Qualifications**
**Key Responsibilities**

- Perform primary research, interviewing end‑users and buyers to deeply understand their AI Observ

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