Grafana Labs

Backend Engineer

• Build the core backend services: Design, implement, test, and operate first services for context ingestion and storage
• Create a scalable SaaS foundation: Define and build architecture for a multi-tenant service
• Power agent-facing retrieval workflows: Build APIs and service interfaces for AI agents
• Work across product and infrastructure: Make tradeoffs between fast experimentation and long-term reliability
• Operate what you build: Instrument services with metrics and improve reliability
• Contribute to technical direction: Shape architecture and engineering practices for a new product area
• Effective communication: Work in a highly dynamic and collaborative environment
• Ownership and impact: Take full ownership of AI solutions ensuring they are scalable and aligned with real user workflows.

Staff Backend Engineer – Grafana

• Build the core backend services: Design, implement, test, and operate the first services.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service.
• Power agent-facing retrieval workflows: Build APIs and service interfaces for retrieval.
• Work across product and infrastructure: Make practical tradeoffs between fast experimentation and long-term reliability.
• Operate what you build: Instrument services with metrics, logs, traces, and alerts.
• Contribute to technical direction: Help shape architecture and engineering practices.
• Effective communication: Contribute across teams in a highly dynamic environment.
• Ownership and impact: Take full ownership of the AI solutions you develop.

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces allowing AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• Effective communication: Work in a highly dynamic and collaborative environment, communicate effectively, and contribute across teams.
• Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are innovative, scalable, maintainable, and aligned with real user workflows.

• Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
• Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
• Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
• Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
• Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
• Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
• 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.

Staff Backend Engineer, Grafana

• Build the core backend services
• Create a scalable SaaS foundation
• Power agent-facing retrieval workflows
• Work across product and infrastructure
• Operate what you build
• Contribute to technical direction
• Effective communication
• Ownership and impact

Solutions Engineer

• Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
• Owning the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
• Delivering product and technical presentations to potential and existing customers
• Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
• Driving product conversations based on need and problems with customers
• Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material

• Partnering with our Sales team to articulate the overall Grafana value proposition
• Owning the technical engagement with customers
• Delivering product and technical presentations
• Communicating feedback on products and the competitive landscape

• Partnering with Sales team to articulate Grafana value proposition to customers
• Owning technical engagement with customers to close complex opportunities
• Delivering product and technical presentations to existing customers
• Communicating feedback on products and competitive landscape
• Driving product conversations based on customer needs
• Enhancing documentation and creating enablement material

Senior Solutions Engineer

• Partnering with Sales team to articulate the overall Grafana value proposition
• Owning the technical engagement with customers
• Delivering product and technical presentations
• Effectively communicating with customers and internal teams
• Driving product conversations based on need and problems
• Working with the team to enhance documentation and create enablement material

• Partnering with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
• Owning the technical engagement with customers
• Delivering product and technical presentations
• Effectively communicate with customers
• Driving product conversations based on need and problems with customers
• Working with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material

• Manage a team of high performing Solution Engineers
• Own regional build-out with sales leader counterparts
• Ensure customer success after sale through various support mechanisms
• Collaborate with marketing to drive community and adoption programs
• Influence product roadmap based on customer and team feedback
• Report on team success and customer strategies

Manager, Solutions Engineering

• Attract, recruit, ramp and mentor a team of Presales SE’s
• Get the best out of your team with a servant-based leadership approach
• Direct day to day work based on guidance and goals from leadership
• Partner with Sales leadership on customer programs and marketing initiatives
• Executive sponsorship of key accounts in the region
• Understand key customers’ strategies for adoption of Grafana technologies
• Ensure customers’ requirements are being met with our product
• Own and report on quarter over quarter cadence
• Find and drive enablement and sell with/through channel partners

• Attract, recruit, ramp and mentor a team of great Presales SE’s from diverse backgrounds and experiences.
• Get the best out of your team with a servant based leadership approach.
• Direct the bulk of your day to day work based on guidance and goals from leadership, owning the planning, actions and outcomes of the region.
• Partner with the Benelux / NEMEA Sales leadership on customer programs, marketing initiatives and community/company events to drive adoption and expansion within our customer base.
• Executive sponsorship of key accounts in the region will be key to your success.
• Understanding your key customers’ strategies for adoption of Grafana technologies and developing programs and collateral to enable them to be successful.
• Ensure that your customers’ requirements are being met with our product through partnership with Product Management and Engineering.
• Own and report on the quarter over quarter cadence of your team while they help prospects evaluate our software with demonstrations, technical deep dives, trials and POVs.
• Find and drive enablement and sell with/through channel partners in the region.

Machine Learning Engineer

• Lead the evolution of the Interactive Learning system's recommendation engine
• Build and operate applied models for continuous improvement
• Define measures of recommendation quality and partner across various teams for integration
• Ship incremental improvements and enhance existing recommender features

Staff Backend Engineer – Grafana

Staff Backend Engineer – Grafana

Staff Backend Engineer – Grafana

Staff Backend Engineer, Grafana

Staff Backend Engineer – Grafana

Solutions Engineer

Solutions Engineer

Senior Solutions Engineer

Senior Solutions Engineer

Senior Solutions Engineer

Senior Solutions Engineer

Manager, Solutions Engineering

Manager, Solutions Engineering

Manager, Solutions Engineering

Senior Machine Learning Engineer, Developer Advocacy