Grafana Labs

Account Executive

• Prospect and grow existing business across the West region
• Identify, nurture, and close opportunities with existing customers
• Identify new opportunities to expand Grafana usage within 3–5 top existing accounts across multiple functions and business lines
• Develop and maintain executive-level relationships with current customers
• Create and execute strategic plans for defined accounts
• Meet and exceed quarterly and annual sales goals
• Manage the full sales process, including prospecting, meetings, demos, proofs of concept, proposals, negotiations, and account management
• Cultivate sales through outbound prospecting and inbound leads
• Understand and communicate the value of Grafana Cloud and Grafana Enterprise
• Manage the sales pipeline in Salesforce
• Manage quote creation, order processing, and day-to-day customer requests
• Hand off strong customer relationships to the Customer Success team

Majors Account Executive – Key Customers

Engineering Manager

• Lead the Frontend Platform and Navigation squads, owning performance, delivery and customer outcomes
• Set expectations, delegate, coach, develop team members, provide feedback and address performance gaps
• Own hiring and team planning across two distributed engineering squads
• Lead discovery with customers, community members and internal users to shape roadmaps and priorities
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement, setting milestones and managing risks
• Use AI to synthesise research, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Improve squad planning, decision-making and delivery through AI and automation
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organisation
• Uphold engineering standards for quality, security and operability, including validation of AI-assisted work
• Lead improvements across Grafana and R&D to increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana’s AI capabilities for observability, incident investigation and management

Senior Engineering Manager, Grafana Frontend

• Lead the Frontend Platform and Navigation squads
• Own squad performance, delivery and customer outcomes
• Set expectations, delegate, coach and develop team members, provide feedback, address performance gaps, and build trust and accountability
• Own hiring and team planning across both squads
• Lead discovery with customers, community members and internal users
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement
• Use AI in management work to synthesise research, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Improve squad planning, decision-making and delivery through AI and automation
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organisation
• Uphold standards for quality, security and operability
• Lead improvements across Grafana and R&D that increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana’s AI capabilities for observability, incident investigation and management

• Lead the Frontend Platform and Navigation squads, owning performance, delivery and customer outcomes
• Set expectations, delegate, coach and develop team members, provide feedback, address performance gaps and build trust and accountability
• Own hiring and team planning across both squads
• Lead discovery with customers, community members and internal users to shape roadmaps and priorities
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement, including milestones and risk management
• Use AI in management work to synthesise research, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Lead adoption of AI and automation across engineering and operational workflows
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organisation
• Uphold engineering standards for quality, security and operability, including evaluation of AI-assisted work
• Lead improvements across Grafana and R&D that increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana AI capabilities for observability and incident investigation, contributing feedback to product roadmaps

• Lead the Frontend Platform and Navigation squads
• Own the performance, delivery, and customer outcomes of two distributed engineering squads
• Set expectations, delegate, coach and develop team members, provide feedback, address performance gaps, and build trust and accountability
• Own hiring and team planning across both squads
• Lead discovery with customers, community members, and internal users to shape roadmaps and priorities
• Partner with Product, Design, and engineering leaders to set priorities, resolve dependencies, and make trade-offs
• Own delivery from discovery through rollout and measurement
• Use AI to synthesise research, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Improve planning, decision-making, and delivery; lead AI and automation adoption
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability, and multitenant capabilities
• Set engineering direction for navigation, search, and resource organisation
• Uphold engineering standards for quality, security, operability, and AI-assisted work
• Lead improvements across Grafana and R&D that increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana’s AI capabilities for observability, incident investigation, and management

Senior Engineering Manager – Grafana Frontend

• Lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes
• Set expectations, delegate, coach and develop team members, provide feedback, address performance gaps and build trust and accountability
• Own hiring and team planning across both squads
• Lead discovery with customers, community members and internal users to shape roadmaps and priorities
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement, including milestones, risk management and interventions
• Use AI to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Lead adoption of AI and automation across engineering and operational workflows
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organisation, including AI-assisted discovery
• Uphold engineering standards for quality, security and operability, including validation of AI-assisted work
• Lead improvements across Grafana and R&D that increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana AI capabilities for observability and incident investigation, contributing to product feedback and roadmap decisions

• Lead the Frontend Platform and Navigation squads, owning performance, delivery and customer outcomes
• Set expectations, delegate, coach and develop team members, provide feedback, address performance gaps, and build trust and accountability
• Own hiring and team planning across both squads
• Lead discovery with customers, community members and internal users to shape roadmaps and priorities
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement, setting milestones and managing risks
• Use AI in management work to synthesize research, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Improve squad planning, decision-making and delivery through AI and automation
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organization, including AI-assisted discovery
• Uphold quality, security and operability standards, including validation of AI-assisted work
• Lead improvements across Grafana and R&D to increase engineering productivity and business outcomes
• Participate in the engineering management on-call rota and drive improvements that reduce recurring disruption
• Use Grafana’s AI capabilities for observability and incident investigation, contributing to product feedback and roadmap decisions

• Lead the Frontend Platform and Navigation squads
• Own performance, delivery and customer outcomes for two distributed engineering squads
• Set expectations, delegate, coach, develop team members, provide feedback and address performance gaps
• Own hiring and team planning across both squads
• Lead discovery with customers, community members and internal users
• Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs
• Own delivery from discovery through rollout and measurement
• Use AI to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination and reporting
• Improve planning, decision-making and delivery through AI and automation
• Set engineering direction for frontend foundations, developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities
• Set engineering direction for navigation, search and resource organisation
• Uphold engineering standards for quality, security and operability
• Lead improvements across Grafana and R&D to increase engineering productivity
• Participate in the engineering management on-call rota and drive improvements reducing recurring disruption
• Use Grafana AI capabilities for observability and incident investigation

Field Engineer

• Advise on and support strategic deals and customer engagements
• Collaborate with Solution Engineers and Observability Architects on complex technical challenges
• Serve as a recognized Subject Matter Expert in one Grafana Platform area
• Build reference architectures and overcome competitive objections
• Create and deliver compelling value-based stories to help sales teams close deals
• Own creation and curation of technical training content, including workshops, how-to guides, and demo scripts
• Establish a repeatable content review cadence with Enablement and Product Management
• Architect, engineer, and maintain live production environments for demos, workshops, and proof-of-value infrastructure
• Influence product direction and represent Field Engineering in product planning cycles
• Present at strategic marketing events, including presentations, panels, webinars, conferences, and blogs
• Provide technical guidance and best practices to Solution Engineers, Observability Architects, and customers
• Improve product documentation and contribute white papers, blogs, and product direction input
• Mentor Senior and Staff Solution Engineers and Field Engineers

Staff Field Engineer

• Advise on and support Grafana's most strategic deals and customer engagements
• Collaborate with Solution Engineers and Observability Architects on complex technical challenges
• Serve as a company-recognized SME in one Grafana Platform area and maintain deep knowledge across multiple Grafana technologies
• Build reference architectures and overcome competitive objections in the field
• Craft and deliver value-based stories to help sales teams close deals
• Create and curate technical training content, including workshops, how-to guides, and demo scripts
• Establish a recurring content review cadence with Enablement and Product Management
• Architect, engineer, and maintain live production environments supporting demos, workshops, and POV infrastructure
• Influence product direction and represent Field Engineering in product planning
• Present at strategic marketing events, webinars, conferences, panels, and blogs
• Provide technical guidance and best practices to Solution Engineers, Observability Architects, and customers
• Improve product documentation and contribute white papers, blogs, and product direction input
• Mentor Senior and Staff Solution Engineers and Field Engineers

• Advise on and support strategic deals and customer engagements
• Collaborate with Solution Engineers and Observability Architects on complex technical challenges
• Serve as a company-recognized SME in a Grafana Platform area
• Build reference architectures and overcome competitive objections
• Craft and deliver value-based stories to help sales teams close deals
• Create and curate technical training content, including workshops, guides, and demo scripts
• Establish a content review cadence with Enablement and Product Management
• Architect, engineer, and maintain live production environments for demos, workshops, and POV infrastructure
• Influence product direction and represent Field Engineering in product planning
• Present at strategic marketing events, webinars, conferences, panels, and blogs
• Provide technical guidance and present best practices to Solution Engineers, Observability Architects, and customers
• Improve product documentation and contribute white papers, blogs, and product direction input
• Mentor Senior and Staff Solution Engineers and Field Engineers

• Advise on and support strategic deals and customer engagements
• Collaborate with Solution Engineers and Observability Architects on complex technical challenges
• Serve as a company-recognized SME in a Grafana Platform area
• Build reference architectures and overcome competitive objections
• Craft and deliver value-based stories to help sales teams close deals
• Create and curate technical training content, including workshops, how-to guides, and demo scripts
• Establish a repeatable content review cadence with Enablement and Product Management
• Architect, engineer, and maintain live production environments for demos, workshops, and POV infrastructure
• Influence product direction and represent Field Engineering in product planning
• Present at strategic marketing events, webinars, conferences, and blogs
• Provide technical guidance and present best practices to Solution Engineers, Observability Architects, and customers
• Improve product documentation and contribute white papers and blogs
• Mentor Senior and Staff Solution Engineers and Field Engineers

Backend Engineer

• Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration
• Define and build a scalable multi-tenant SaaS architecture with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries
• Build APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings
• Partner across product and infrastructure to balance experimentation with long-term reliability
• Instrument services with metrics, logs, traces, alerts, and dashboards
• Use observability tools to understand system behavior and improve reliability
• Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices
• Take ownership of innovative AI solutions, ensuring scalability, maintainability, and alignment with user workflows

Staff Backend Engineer – Grafana Second Horizon

• Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration
• Define and build a scalable multi-tenant SaaS architecture with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries
• Build APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings
• Partner across product and infrastructure to balance experimentation with long-term reliability
• Instrument services with metrics, logs, traces, alerts, and dashboards
• Contribute to architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices
• Take ownership of AI solutions and ensure they are scalable, maintainable, and aligned with user workflows
• Collaborate asynchronously and across teams in a highly autonomous environment

Staff Backend Engineer – Grafana

• Design, implement, test, and operate backend services for context ingestion, indexing, retrieval orchestration, API access, source configuration, and system administration
• Define and build a scalable multi-tenant SaaS architecture with tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries
• Build APIs and service interfaces for AI agents, MCP tools, CLIs, and internal applications to retrieve context, provenance, confidence signals, and warnings
• Balance rapid experimentation with long-term reliability as the project moves from prototype to production
• Instrument services with metrics, logs, traces, alerts, and dashboards
• Shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices
• Take ownership of scalable, maintainable AI solutions aligned with real user workflows
• Collaborate across product, infrastructure, and engineering teams