Product Manager, Grafana Labs

• Excellent written and verbal communication
• Strong product sense and curiosity about AI, including demonstrated evidence such as AI projects, blog posts and community contributions
• 2 years of product experience or equivalent experience in a related role with ownership of a feature or project
• Comfortable with basic data analysis (SQL, spreadsheets) and able to interpret experiment results
• Familiarity with large language models (LLMs), prompt engineering, or experience using open-source models

Desirable

• As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain.
• You will own your product’s roadmap, collateral, and market research, and you will collaborate with Grafana leadership on fine-tuning your product’s goals.
• You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders.
• The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential
• Product Managers are the bridge that connect Engineering, Design, and UX to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers
• As a Product Manager for AI, you’ll be involved with everything related to our AI offerings, including helping drive the roadmap of our Grafana Assistant ecosystem. You’ll get to the bottom of what customers want and challenge us on what we should build next
• You’ll work across Grafana’s R&D and GTM orgs to deliver AI products and marketing messages. You will develop a deep understanding of how to apply AI to address customer problems in observability. And you’ll help shape Grafana Labs AI vision
• Partnering with our senior AI PM to define and own AI features end-to-end
• Working closely with our product marketing and sales teams to shape our AI messaging and support large commercial deals
• Understanding competitors, working with partners and staying on top of the broader AI market
• Being a hands-on builder: prototyping, building, and shipping AI features end-to-end with our engineering team
• Partnering with our data function to analyze large amounts at scale about our product, usage patterns and commercials
• Empathizing with customer problems in order to collect user needs, requirements, and pain points
• Curating and properly representing user feedback to Engineering, while providing evidence to support tradeoffs and priorities
• Using your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing, and tiering