Grafana Labs

Product Manager

• Transform ideas and feedback into a product vision and roadmap
• Empathize with customer problems in order to collect user needs, requirements, and pain points
• Curate and properly represent user feedback to Engineering, while providing evidence to support tradeoffs and priorities
• Work closely with PMM to enable GTM on product differentiation, including creating and updating presentations, documentation, website content, datasheets, and whitepapers.
• Use your deep product expertise to make decisions about our go-to-market strategies, pricing, packaging, licensing and tiering

Senior Product Manager, Infrastructure Observability

• Develop and own the product vision and strategy for Data Collection, Transformation, and Ingestion as a core platform capability for Grafana Cloud.
• Partner closely with senior R&D leaders to align product and technical strategy across teams, make clear tradeoffs, and ensure the roadmap balances customer value, platform leverage, operational excellence, and business impact.
• Use customer research, product analytics, competitive insight, and business context to identify the highest-impact problems to solve.
• Define how AI should influence this domain, including how it can help customers instrument applications, configure collection, transform telemetry, control cost, improve data quality, query more efficiently, and troubleshoot ingestion issues more intelligently.
• Build strong relationships with customers and prospects, especially technical buyers and observability practitioners.
• Help GTM teams understand product differentiation, customer value, roadmap direction, AI relevance, and market positioning.
• Coach and develop Product Managers, helping them strengthen their product judgment, strategic thinking, communication, stakeholder management, and ability to drive high-quality outcomes with their cross-functional teams.
• Create a high-accountability, high-trust environment where PMs and cross-functional teams understand what matters, why it matters, and how their work contributes to Grafana Labs’ success.

Director, Product Management

AI Engineer

• Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.
• Rapid experimentation and iteration: Implement a highly iterative process where you quickly prototype, test, and validate with real users, including shipping and evolving LLM- or agent-powered workflows for incident lifecycle management and automated analysis tasks.
• Collaborate cross-functionally: Work with data analysts, product managers, and designers to shape AI-driven product features, including integration of agentic components with internal tools, alerting systems, runbooks, and developer workflows.
• Utilize AI tools effectively: Use AI and automation tools to enhance both product functionality and your own development workflows.
• Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.

Senior AI Engineer – Grafana Ops, AI/ML

Senior Product Manager

Engineering Manager

• Manage and grow a distributed team of engineers, conducting regular 1:1s, providing consistent feedback, and supporting individual performance and career development.
• Partner with product management and engineering leadership to shape the Usage squad's roadmap, strategy, and OKRs, ensuring alignment with overall company mission and customer impact.
• Guide the team through the full project lifecycle, from early technical design and scoping to delivery and post-launch iteration, ensuring high-quality and timely outcomes within the Usage domain (e.g., billing engine, cost management and billing app, reconciliation systems).
• Act as a project manager, facilitating collaboration with Product, DealOps, GTM, Pricing and Monetization, Support, and adjacent AppCore squads to remove blockers and ensure coordinated delivery across service boundaries.
• Foster a high-trust, security-first team culture that embraces thoughtful AI-assisted development practices to enhance engineering workflows and eliminate toil.
• Contribute to hiring and talent acquisition efforts, partnering with People Ops to attract and retain a diverse group of engineers.

Engineering Manager – Platform – Usage

Engineering Manager – Platform

Manager

• Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
• Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers
• Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs using what Analytics & Insights constructs
• Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics
• Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership.
• Manage urgent ad-hoc data analysis and QA support requests

Senior Manager, Analytics & Insights

Operations

• Defining partner route to market categories and associated requirements and benefits
• Driving our development funds program and other financial incentives such as discounts and opportunity registration programs
• Creating programs that support channel go-to-market efforts including accreditations, specializations, competencies, and segmentation
• Architect pipeline acceleration programs, such as deal registration, rebates, and other performance-based rewards
• Lead annual strategy, business plan development, and quota/territory planning with each of our Partner leaders.
• Structure and lead key strategic initiatives, establish and track KPIs, and develop best practices.
• Provide innovative recommendations for partner business planning, reporting, scorecards, and forecasting processes.
• Gather and synthesize relevant data, lead analyses and develop final recommendations around strategic and operational partner initiatives.
• ​​Manage weekly cadence of partner sales forecasting, lead generation, reporting, and analytics.
• Develop formal reporting packages for partner and partner sales effectiveness and productivity. Conduct metrics reviews with partner leaders and supporting teams.

Senior Channel Strategy – Operations Manager

Account Manager

• Develop executive level relationships with focus partners in the US East Coast region
• Own partner opportunity identification and deal acceleration activities to drive revenue targets
• Lead the identification, activation and development efforts for regional partners
• Develop partner capabilities, co-sell motions and brand awareness initiatives
• Establish strong executive relationships to create partnership business plans
• Work with leadership to manage pipeline and revenue commitments
• Work across Grafana Labs to provide input on message alignment, operational coordination, and evangelism of the partner strategy and program

Senior Product Manager, Infrastructure Observability

Director, Product Management

Senior AI Engineer – Grafana Ops, AI/ML

Senior Product Manager

Senior Product Manager

Senior Product Manager

Senior Product Manager

Senior Product Manager

Senior AI Engineer – Grafana Ops, AI/ML

Engineering Manager – Platform – Usage

Engineering Manager – Platform – Usage

Engineering Manager – Platform

Senior Manager, Analytics & Insights

Senior Channel Strategy – Operations Manager

Channel Account Manager