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The Senior AI Engineer will develop AI solutions for incident management, collaborate cross-functionally, and enhance observability tools through iteration and ownership.

The role involves developing high-performance AI features for observability, rapid prototyping, and cross-functional collaboration, aimed at improving incident response and system behavior understanding.

Lead and build a team of Observability Architects at Grafana Labs, guiding customers through onboarding and ensuring successful adoption of the Grafana platform. Responsibilities include recruiting, mentoring, collaborating with sales, and enhancing customer engagement strategies.

As a Senior Product Manager at Grafana Labs, you'll define performance testing strategies for Grafana Cloud, collaborating across teams to enhance customer experience and product integration.

As a Senior Product Manager at Grafana Labs, you will define product strategy, manage roadmaps, emphasize user needs, and facilitate collaboration between engineering and design teams to enhance performance testing capabilities in Grafana Cloud.

As a Senior Product Manager, you will own the product roadmap for Grafana Cloud performance testing, integrating user feedback into the development process and collaborating with cross-functional teams to deliver key features.

The Product Manager will develop a vision and strategy for Grafana Cloud's performance testing, advocate for user needs, and collaborate with cross-functional teams to enhance product integration and user experience.

As a Senior Product Manager, you'll develop a vision and strategy for Grafana's performance testing product, ensuring its seamless integration with Grafana Cloud, while managing the product roadmap and collaborating with global teams.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

As a Staff Engineer, you will manage and evolve shared multi-cloud database infrastructure, work with streaming systems, lead initiatives, and ensure observability and performance.