Cloud Observability Product Manager — AI-Native Ops

Google; New York (NY); On-site; USD 163,000 - 236,000; Full time

Job summary

Google Cloud is seeking a Product Manager to drive observability-based products in New York, NY. You will guide products from conception to launch, collaborating with engineering, design, and leadership to translate complex problems into actionable roadmaps.

The role emphasizes building agentic telemetry for large-scale AI/LLM-enabled observability, defining enterprise SLAs/SLOs, and partnering with cloud platform teams to deliver measurable outcomes.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in product management or a related technical role.
• 2 years of experience taking technical products from conception to launch.
• 1 year of experience building Agentic Technologies, observability features, or data warehouse products.

Responsibilities

• Drive product development collaborating closely with engineering, user-experience design and internal leadership.
• Interact with customers and partners to understand their key requirements and help define a credible product roadmap.
• Partner with other Google Cloud Platform (GCP) service teams to understand their requirements, collaborate on joint strategy and measure outcomes
• Drive positioning, pricing, and Go-To-Market strategy for our launches.
• Build the skills and tools to enable Cloud Observability critical user journeys (CUJs) available to any agent harness, including first-party AutoCloud experiences.

Skills

Product management

Roadmap development

Cross-functional collaboration

Mentoring juniors

Technical product lifecycle

Education

Bachelor's degree or equivalent

Tools

Agentic Technologies

Job description

Google Cloud is seeking a Product Manager to drive observability-based products in New York, NY. You will guide products from conception to launch, collaborating with engineering, design, and leadership to translate complex problems into actionable roadmaps.

The role emphasizes building agentic telemetry for large-scale AI/LLM-enabled observability, defining enterprise SLAs/SLOs, and partnering with cloud platform teams to deliver measurable outcomes.