Staff Inbound Product Manager

Were looking for a passionate, driven Staff Product Manager to define product vision and lead the development of innovative Cloud Observability and analytics solutions for the ServiceNow Cloud.

These solutions will empower internal operations and development teams by providing:

• Real-time access to service telemetry data

  for faster troubleshooting and root cause analysis.

• Advanced machine learning capabilities

  for proactive anomaly detection and performance optimization.

you'll drive the product roadmap, prioritize features based on user needs, and collaborate with geographically distributed engineering teams to deliver solutions that:

• Reduce mean time to resolution (MTTR) for incidents.
• Increase uptime of critical ServiceNow applications.
• Improve developer productivity through faster issue identification.

What you get to do in this role:

• Conceptualize and drive execution of end-to-end Observability and analytics solutions leveraging telemetry data from the ServiceNow platform.
• Deliver quick prototypes (eg, wireframes) to validate user needs and demonstrate solution value.
• Own product delivery, defining user stories with clear acceptance criteria and working with development teams to ensure successful implementation.
• Partner with internal operations and development teams to understand user personas and pain points related to ServiceNow observability.
• Continuously improve product development processes by establishing repeatable workflows and collaborating with teams for optimal efficiency.

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI s potential impact on the function or industry.
• A minimum of 8 years of experience in product management or a related field, with a focus on Observability and Analytics solutions.
• Experience building cloud-based products and understanding of SaaS delivery models.
• Strong user research and product strategy skills.
• Experience collaborating with cross-functional teams (engineering, product, operations) to bring products to market.
• A bachelors degree in Computer Science, Information Systems, Data Science, or a closely related field (or equivalent experience).

Preferred Qualifications:

• Experience working with (or in) operations or SRE teams.
• Familiarity with commercial observability offerings (e.g., Honeycomb, New Relic, Datadog, Splunk)