Senior Product Manager (Infrastructure Observability)

Join Grafana Labs as a Senior Product Manager for Infrastructure Observability. In this role, you will develop a vision and strategy for your product domain, own the product roadmap, and collaborate with Grafana leadership. You will be the primary advocate and expert in your area, communicating effectively with external customers and internal stakeholders. Your responsibilities will include defining the vision for Infra O11y, conducting customer discovery, and ensuring integration with other key offerings. Enjoy benefits such as 30 days of paid vacation, healthcare coverage, retirement planning, and professional development opportunities.

• Develop a vision and strategy for the product domain, owning the product roadmap and market research.
• Act as the primary advocate and expert in the area, effectively communicating needs and functionality to external customers and internal stakeholders.
• Collaborate with engineering partners to fine-tune product strategy, charting the path forward for new product initiatives while maintaining a strong roadmap for mature products.
• Experience driving adoption of shared services or platform capabilities across multiple product teams
• 5+ years of experience in a B2B SaaS product
• Ability to discuss APIs, data models, schema evolution, and distributed systems concepts
• Experience using or building developer-facing tools, APIs, or platform services
• Excellent written and verbal communication skills, with the ability to influence cross-functional stakeholders
• A BS/BA in Computer Science, a related field, or equivalent work experience
• 7+ years of experience in Product Management
• Experience working with Engineering and Design teams build delightful products and features – with sounds UX – in a fast-paced environment
• Experience with open source software and/or commercial open source companies
• Experience using or building observability products and/or developer tools, either internally as an SRE or for external customers
• Proficient with infrastructure concepts and components – like Kubernetes, Cloud Service Providers, and VMs – and able to articulate these models in human-readable terms
• Experience with AI tools