This is a remote opportunity and we would be interested in applicants located in Canadian time zones (EST + CST only at this time). 

Staff Backend Engineer - Application Core Services, Stacks

The Opportunity: 

Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise.

The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts.

This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope.

What You’ll Be Doing:

The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration.

Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions.

• Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration
• Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient
• Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project
• Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration
• Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions
• Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures
• Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work
• Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations
• You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe.

We are seeking a Staff Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain.

You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams.

Some things you might be expected to do could include:

• Writing efficient, readable, and easy to maintain code
• Designing new microservices or systems
• Collaborating with teammates and other departments to reach consensus on proposed solutions
• Coordinating with product and UX when needed
• Responding to customer requests and feedback
• When ready, participating in our follow-the-sun OnCall rotation
• Participating in team decisions, such as roadmap planning and prioritization

Requirements:

• You have at least 1 year of fully remote work experience
• You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• Have professional experience with Golang and be willing to work across both backend service and application code
• Care deeply about developer and user experience and the quality of the products that you work on
• Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way
• You write clean, robust, well-tested software that other engineers can understand, operate, and maintain
• Have experience with mentoring junior engineers in a collaborative but asynchronous environment
• Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)
• Experience participating in blameless incident response and writing high-quality post-incident reviews

Bonus Points For:

• Experience with TypeScript/Node.js
• Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems
• Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling
• Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems
• Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants located in USA time zones (EST + CST only at this time). 

Staff Backend Engineer - Application Core Services, Stacks

The Opportunity: 

Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise.

The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculation, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts.

This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope.

What You’ll Be Doing:

The AppCore Stacks squad owns the systems that create, configure, reconcile, migrate, and operate Grafana Cloud stacks at scale. A stack is the customer-facing Grafana Cloud environment that connects an organization to Grafana and the backend services it uses, including Mimir, Loki, Tempo, plugins, dashboards, data sources, and stack-level configuration.

Our work sits at the intersection of product, platform, and operations. We build the control-plane services and workflows that keep stack state aligned across grafana.com, Stack State Service (SSS), Hosted Grafana, cloud regions, and the underlying Grafana Cloud infrastructure. When this domain works well, customers get reliable stack creation, safe configuration rollout, predictable migrations, and fewer manual operational interventions.

• Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration
• Collaborate across SSS, grafana.com, and deployment configurations to ensure stack lifecycle workflows remain reliable, observable, and resilient
• Improve operational efficiency by reducing deployment complexity (e.g., aiming for single PR regional SSS deployment) and contributing to the Stack Config Reconciliation project
• Manage rollout mechanisms for provisioned plugins, dashboards, data sources, Grafana versions, release channels, and stack-level configuration
• Support new region and cluster rollouts, including the operational paths required to bring stacks online safely in new Grafana Cloud regions
• Improve incident response and recovery paths for stack misalignment, reconciliation failures, plugin rollout issues, and Hosted Grafana integration failures
• Partner with Product, Hosted Grafana, Infrastructure, Support, and adjacent AppCore squads on customer-impacting stack lifecycle work
• Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations
• You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe.

We are seeking a Staff Backend Engineer who thrives on building production systems where correctness, scalability, and operational clarity are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain.

You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams.

Some things you might be expected to do could include:

• Writing efficient, readable, and easy to maintain code
• Designing new microservices or systems
• Collaborating with teammates and other departments to reach consensus on proposed solutions
• Coordinating with product and UX when needed
• Responding to customer requests and feedback
• When ready, participating in our follow-the-sun OnCall rotation
• Participating in team decisions, such as roadmap planning and prioritization

Requirements:

• You have at least 1 year of fully remote work experience
• You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• Have professional experience with Golang and be willing to work across both backend service and application code
• Care deeply about developer and user experience and the quality of the products that you work on
• Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way
• You write clean, robust, well-tested software that other engineers can understand, operate, and maintain
• Have experience with mentoring junior engineers in a collaborative but asynchronous environment
• Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)
• Experience participating in blameless incident response and writing high-quality post-incident reviews

Bonus Points For:

• Experience with TypeScript/Node.js
• Experience with Kubernetes control-plane patterns, operators, reconcilers, or desired-state systems
• Experience with Jsonnet/Tanka, Terraform, Flux, Argo, or similar deployment/configuration tooling
• Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems
• Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity, and we would be interested in applicants in Canadian time zones (EST or CST).  

The Opportunity 

We are the team behind Grafana k6, Grafana Cloud k6, and Grafana Cloud Synthetics, used by teams globally to ensure resilient, high-performing systems.  This opportunity is with the Grafana Cloud k6 squad, who build and operate our performance testing product. Grafana Cloud k6 is built around the OSS k6 and targeted at users looking to run performance tests at scale. Our enterprise and SaaS offerings allow customers to load test their systems by running distributed tests from 15+ regions worldwide, using hundreds of thousands of virtual users sending millions of requests per second. We ingest huge volumes of data generated by k6, which can be used to view, correlate and analyze metrics from each test.

k6 is a product used by other engineers, and as such, we are looking for people enthusiastic about building high-quality tools they would want to use themselves. Due to our small teams and fast development pace, you will have a substantial and immediate impact on how the end product is architected, developed, and how the engineering team operates.

Your role will focus on establishing and scaling a cross-team culture of engineering excellence by setting standards and guiding adoption of strong DevOps/SRE practices that improve reliability, availability, and operational ownership. As this foundation matures, the role is expected to expand into broader application and product development leadership, contributing architectural and technical depth beyond operational excellence.

What will you be doing? 

• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability.
• Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management.
• Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs.
• Provide visibility into system health through clear operational metrics and reliability reporting.
• Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems.
• Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration.
• Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively.
• As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Requirements:

• Strong experience with DevOps/SRE practices, including operating and evolving production systems at scale
• Strong programming background in a modern language (Python and Go are primary, but prior experience is not required)
• Experience designing, building, and operating large-scale distributed systems
• Strong understanding of reliability engineering concepts (e.g. incident management, observability, and failure modes)
• Experience with test automation, including performance and functional testing
• Ability to influence engineering practices through clear technical communication, reviews, and collaboration
• Strong interpersonal skills and ability to work effectively across teams
• Familiarity with modern software engineering processes and delivery practices
• Self-driven and comfortable operating with a high degree of autonomy and ambiguity

Bonus Points For:

• Experience with containerized and cloud-native systems (Docker, Kubernetes, AWS)
• Familiarity with observability tooling and platforms (e.g. the Grafana stack)
• Experience working with Python, Go, JavaScript and/or Jsonnet 
• Experience building or operating event-driven or asynchronous systems
• Experience defining or applying SLIs/SLOs, error budgets, or reliability metrics
• Interest in, or experience with, building testing frameworks or developer tooling

This is a remote opportunity, and we would be interested in applicants in United States time zones (EST & CST).  

The Opportunity 

We are the team behind Grafana k6, Grafana Cloud k6, and Grafana Cloud Synthetics, used by teams globally to ensure resilient, high-performing systems.  This opportunity is with the Grafana Cloud k6 squad, who build and operate our performance testing product. Grafana Cloud k6 is built around the OSS k6 and targeted at users looking to run performance tests at scale. Our enterprise and SaaS offerings allow customers to load test their systems by running distributed tests from 15+ regions worldwide, using hundreds of thousands of virtual users sending millions of requests per second. We ingest huge volumes of data generated by k6, which can be used to view, correlate and analyze metrics from each test.

k6 is a product used by other engineers, and as such, we are looking for people enthusiastic about building high-quality tools they would want to use themselves. Due to our small teams and fast development pace, you will have a substantial and immediate impact on how the end product is architected, developed, and how the engineering team operates.

Your role will focus on establishing and scaling a cross-team culture of engineering excellence by setting standards and guiding adoption of strong DevOps/SRE practices that improve reliability, availability, and operational ownership. As this foundation matures, the role is expected to expand into broader application and product development leadership, contributing architectural and technical depth beyond operational excellence.

What will you be doing? 

• Build and scale a strong culture of operational excellence by defining standards and coaching teams to own reliability and availability.
• Drive mature DevOps/SRE practices, including incident response and PIRs, on-call readiness, runbooks, alerting, observability, and release/change management.
• Establish reliability frameworks such as SLIs/SLOs and error budgets, and use them to guide prioritization and engineering trade-offs.
• Provide visibility into system health through clear operational metrics and reliability reporting.
• Guide teams in the design, development, evolution, and operation of large-scale, distributed cloud systems.
• Influence product and system direction through design reviews, architectural discussions, and cross-team collaboration.
• Share knowledge through clear, high-quality documentation and technical communication—internally and, where appropriate, externally—to help teams build and operate systems more effectively.
• As the reliability foundation matures, grow into broader application and product development leadership, contributing architectural and technical depth beyond operations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Requirements:

• Strong experience with DevOps/SRE practices, including operating and evolving production systems at scale
• Strong programming background in a modern language (Python and Go are primary, but prior experience is not required)
• Experience designing, building, and operating large-scale distributed systems
• Strong understanding of reliability engineering concepts (e.g. incident management, observability, and failure modes)
• Experience with test automation, including performance and functional testing
• Ability to influence engineering practices through clear technical communication, reviews, and collaboration
• Strong interpersonal skills and ability to work effectively across teams
• Familiarity with modern software engineering processes and delivery practices
• Self-driven and comfortable operating with a high degree of autonomy and ambiguity

Bonus Points For:

• Experience with containerized and cloud-native systems (Docker, Kubernetes, AWS)
• Familiarity with observability tooling and platforms (e.g. the Grafana stack)
• Experience working with Python, Go, JavaScript and/or Jsonnet 
• Experience building or operating event-driven or asynchronous systems
• Experience defining or applying SLIs/SLOs, error budgets, or reliability metrics
• Interest in, or experience with, building testing frameworks or developer tooling

Compensation & Rewards:

In the US, the Base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Ireland time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Ireland, the Base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants living in Spain time zones only at this time. 

Senior Software Engineer - Grafana Databases, Managed Services

The Opportunity: 

The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale.

In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply.

What You’ll Be Doing:

As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves:

• Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure
• Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.)
• Designing safe upgrade and rollout strategies at scale
• Improving observability, automation, and operational ergonomics
• Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance
• Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc.
• Serving as a primary escalation point and on-call for relevant incidents
• Owning the relationship with all system vendors, including WarpStream Labs and others.
• As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership.

What Makes You a Great Fit:

• Regular 1:1s with your manager and close collaboration with teammates across regions
• Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design
• Improving the diagnosability of core streaming and database systems in production, where possible.
• Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure
• Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies
• Planning and executing safe upgrades and rollouts across dozens of production clusters
• Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy
• Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk
• Sharing best practices and distributed systems knowledge with partner teams
• Participating in incident response, from investigation through resolution and post-incident reviews (PIR)

Requirements:

• 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles.
• Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra.
• Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.).
• Solid understanding of distributed systems design and large-scale system trade-offs.
• Proficiency in at least one programming language (Go preferred, but not required).
• Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior.
• Experience participating in blameless incident response and writing high-quality post-incident reviews.
• Clear communicator who can collaborate across teams and work autonomously.
• Curious, pragmatic, action-oriented, and kind (this is important!)
  
  

Compensation & Rewards:

In Spain, the Base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the US and Canada.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the US and Canada.

The Opportunity:

As our Cloud / Grafana-as-a-service business continues to grow, we've started to change Grafana's core architecture to be fully multi-tenant and scalable, as well as a solid platform for our opinionated Cloud apps. 

We're looking for someone with a lot of experience with SaaS platforms at scale. We are turning Grafana into a proper observability app platform where OSS and proprietary apps can directly tap into dashboards, alerts, incidents, and telemetry and deliver even more integrated experiences. 

To get there, we need to refactor a big part of Grafana so that it’s simpler and standardized. Grafana is used by countless OSS and Cloud users across different platforms, so planning and rolling out changes safely to avoid service disruptions is crucial; we are looking for someone who is excited about this sort of work.

What You’ll Be Doing: 

• Coding new features, enhancing the operational experience of the systems you develop, and iteratively improving them based on production insights
• Authoring, contributing to and reviewing design documents
• Taking an active role in shaping the roadmap
• Mentoring and supporting other team members and collaborating with different teams across the organization
• Owning the experience of our customers by participating in weekday 12h x 5d and a separate weekend 24h x 2d on-call rotations.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).

What Makes You a Great Fit:

• You have strong coding skills and operational experience; you were responsible for operating the software you have built. 
• You have worked on a SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …)
• You have excellent communication skills. You can express your ideas with great clarity in writing and during meetings. You know when to pick which mode of communication.
• You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions.
• You are pragmatic; you prioritize progress over perfection; you can handle ambiguity.
• We are using Golang on the backend; you are either already familiar with Golang or are excited to learn the language

In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position and we're considering candidates in the US or Canada (EST working hours preferred).

The Opportunity:
We are looking for an Engineering Manager to join the Grafana Backend team. Our managers take an active role in creating a thriving environment for our engineers; be it through removing blockers and impediments, facilitating cross-team collaboration and understanding, or by aiding the team in helping themselves by constantly improving and refining their working practices, you are the glue to make our deliverables happen. You’ll be responsible for managing a team of distributed engineers working across a variety of systems and helping them to perform at their best.

In Grafana Backend, our mission is to evolve the backend of the Grafana visualization product by architecting and delivering an exceptional Grafana core platform that supports our high demand service. We want users and agents to be able to leverage Grafana to observe their infrastructure as well as the lifecycle of their software in a composable and efficient fashion.

The majority of our work is on OSS Grafana, but we also work closely with customers of our commercial offerings. Our main goal is to deliver on the application platform which will unlock multi-tenancy in Grafana to meet our growing demand. We strive to deeply understand developers, both internal and those who are part of our larger community. We play an active role in research to help deliver the best developer experience. Close collaboration with Product, Docs and Customer Experience is something you will regularly be engaging in.

What You’ll Be Doing:

This is not an exhaustive list, and we know that people can have a wealth of knowledge in their individual backgrounds. A list of some of the things we think would be ideal in this role are:

• The core focus of the role is people. Technical skills are desirable in order to understand some of our stack and manage a highly technical team (we primarily work with Go on back-end development).
• You have a strong software engineering background and are capable of engaging in technical conversations and challenge teams to arrive at strong technical decisions together. The app platform area that this individual would support is highly technical, so a strong technical foundation is essential for success
• Delivery is another part of your responsibilities. You are able to work with your team to set milestones, clearly communicate delivery timelines and help remove impediments.
• You will work closely with stakeholders and product managers to ensure the product roadmap is defined and up-to-date. You collaborate with others to ensure the product direction aligns with our company mission and define OKRs to demonstrate that.
• You focus on quality above speed of delivery while encouraging a short feedback cycle and experimentation.
• You are comfortable working with engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed.
• While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
  
  

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).


What Makes You a Great Fit:

• Thrive: We have regular and frequent 1:1s to ensure that our direct reports are motivated, happy, and engaged.
• We also coach, mentor, and advise. Upwards, sideways, and every-which-ways.
• Progress over Perfection: We provide continuous feedback to engineers to ensure that they can add value, while trying to maintain a high standard.
• Seeking Diverse Perspectives: Gathering a range of opinions from both engineers and management to define upcoming features, contributing to design documents, and attending and contributing to open discussions.
• This is also reflected in maintaining headcount-- we spend quite a lot of our time reaching out to URM’s to try and diversify the voices here in Grafana, every day. We work with our PeopleOps team closely to accomplish this.
• Say:Do Ratio: We ensure features are well-defined and ready for development, and then set the wheels in motion to make sure they are delivered.
• Respectfully empowered to start up new initiatives, contribute to on-going ones, and to encourage and nurture others to do the same.
• OSS is in our DNA, and as such working with the community is something that happens regularly for us. We default to transparency and try to be as open with everyone.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 208,602 - USD 250,322. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position and we're considering candidates in the US or Canada (EST working hours preferred).

The Opportunity:
We are looking for an Engineering Manager to join the Grafana Backend team. Our managers take an active role in creating a thriving environment for our engineers; be it through removing blockers and impediments, facilitating cross-team collaboration and understanding, or by aiding the team in helping themselves by constantly improving and refining their working practices, you are the glue to make our deliverables happen. You’ll be responsible for managing a team of distributed engineers working across a variety of systems and helping them to perform at their best.

In Grafana Backend, our mission is to evolve the backend of the Grafana visualization product by architecting and delivering an exceptional Grafana core platform that supports our high demand service. We want users and agents to be able to leverage Grafana to observe their infrastructure as well as the lifecycle of their software in a composable and efficient fashion.

The majority of our work is on OSS Grafana, but we also work closely with customers of our commercial offerings. Our main goal is to deliver on the application platform which will unlock multi-tenancy in Grafana to meet our growing demand. We strive to deeply understand developers, both internal and those who are part of our larger community. We play an active role in research to help deliver the best developer experience. Close collaboration with Product, Docs and Customer Experience is something you will regularly be engaging in.

What You’ll Be Doing:

This is not an exhaustive list, and we know that people can have a wealth of knowledge in their individual backgrounds. A list of some of the things we think would be ideal in this role are:

• The core focus of the role is people. Technical skills are desirable in order to understand some of our stack and manage a highly technical team (we primarily work with Go on back-end development).
• You have a strong software engineering background and are capable of engaging in technical conversations and challenge teams to arrive at strong technical decisions together. The app platform area that this individual would support is highly technical, so a strong technical foundation is essential for success
• Delivery is another part of your responsibilities. You are able to work with your team to set milestones, clearly communicate delivery timelines and help remove impediments.
• You will work closely with stakeholders and product managers to ensure the product roadmap is defined and up-to-date. You collaborate with others to ensure the product direction aligns with our company mission and define OKRs to demonstrate that.
• You focus on quality above speed of delivery while encouraging a short feedback cycle and experimentation.
• You are comfortable working with engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed.
• While you’re great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face.
  
  

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).


What Makes You a Great Fit:

• Thrive: We have regular and frequent 1:1s to ensure that our direct reports are motivated, happy, and engaged.
• We also coach, mentor, and advise. Upwards, sideways, and every-which-ways.
• Progress over Perfection: We provide continuous feedback to engineers to ensure that they can add value, while trying to maintain a high standard.
• Seeking Diverse Perspectives: Gathering a range of opinions from both engineers and management to define upcoming features, contributing to design documents, and attending and contributing to open discussions.
• This is also reflected in maintaining headcount-- we spend quite a lot of our time reaching out to URM’s to try and diversify the voices here in Grafana, every day. We work with our PeopleOps team closely to accomplish this.
• Say:Do Ratio: We ensure features are well-defined and ready for development, and then set the wheels in motion to make sure they are delivered.
• Respectfully empowered to start up new initiatives, contribute to on-going ones, and to encourage and nurture others to do the same.
• OSS is in our DNA, and as such working with the community is something that happens regularly for us. We default to transparency and try to be as open with everyone.

Compensation & Rewards:

In the United States, the Base compensation range for this role is CAD 211,450 - CAD 253,740. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are seeking candidates in US and Canada. 

The Opportunity: 

We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.

2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).

Over the next year, you will help us:

• Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
• Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
• Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
• Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
• Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.

What You’ll Be Doing: 

As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team.

• Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements.
• Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team.
• Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
• Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
• Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
• Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it.
• Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
• Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Example problems you could work on

These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem:

• Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
• Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
• Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads.
• Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
• Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
• Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero.

What Makes You a Great Fit: 

• Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better.
• Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
• Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
• Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well.
• Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
• Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
• Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment.

Bonus Points For: 

• Experience with tracing, OpenTelemetry, or large-scale observability systems.
• Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
• Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
• Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
• Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
• Open-source contribution or maintainership, and comfort engaging a community in the open.
• Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
• Experience in a fully remote, globally distributed team.

How we work

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.

In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are seeking candidates in US and Canada. 

The Opportunity: 

We build Tempo, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.

2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).

Over the next year, you will help us:

• Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
• Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
• Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
• Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
• Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.

What You’ll Be Doing: 

As a Staff Engineer on Tempo, you will set technical direction on the hardest problems in our roadmap and raise the bar across the team.

• Lead multi-quarter technical initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements.
• Own the architecture of core Tempo components: ingestion, storage, query, and metrics generation. Drive design reviews, make sharp trade-offs on performance, cost, and complexity, and document the “why” for the team.
• Design APIs for humans and agents. Shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
• Drive operational excellence. Own outcomes against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB) and push the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
• Partner with Product and sibling teams. Work closely with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
• Mentor engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team smarter than you found it.
• Participate in on-call for the services you help build, and be a force multiplier in incident response and post-incident learning.
• Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and help steer the project in the open.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

Example problems you could work on

These are the kinds of projects landing in 2026. Any one of them is a Staff-sized problem:

• Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
• Autoscaling end to end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
• Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads.
• Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
• Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
• Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero.

What Makes You a Great Fit: 

• Technical leadership. A track record of leading complex, multi-quarter initiatives that spanned design, delivery, and operations, and made the teams around you better.
• Deep systems experience. Substantial hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
• Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
• Strong Go, or a path to it. We write Tempo in Go. Deep experience in other systems languages (Rust, C, C++) translates well.
• Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
• Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
• Leadership through writing and collaboration. You lead through design docs, reviews, and shipped code, not hierarchy. You communicate clearly in a fully remote, asynchronous environment.

Bonus Points For: 

• Experience with tracing, OpenTelemetry, or large-scale observability systems.
• Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
• Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
• Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
• Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
• Open-source contribution or maintainership, and comfort engaging a community in the open.
• Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
• Experience in a fully remote, globally distributed team.

How we work

We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.


In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the United States time zones.

The Opportunity:

What is Grafana Cloud?

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing: 

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What makes you a great fit:

You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
  
  
• Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
  
  
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
  
  
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
  
  
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
  
  
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
  
  
• Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
  
  
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
  
  
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

This is a remote position in US and Canada. 

The Opportunity:

We are the creators of Pyroscope, an open-source continuous profiling database that offers rapid, scalable, highly reliable, and efficient storage and querying capabilities. It aids in gaining a comprehensive insight into resource utilization within applications, right down to the specific line of code. The project seamlessly integrates with Grafana, enabling users to correlate profiling data with metrics, logs, and traces, and leverage profiles as a crucial component of application observability. Our dedicated backend development team works closely with clients and the Grafana Cloud teams to deliver profiling solutions for on-premises and cloud environments at scale.

In our expansive domain, some of the projects we have undertaken include:

• Implementing distributed systems to effectively manage profile ingestion and queries.
• Establishing instrumentation support for various programming languages including Golang, Dotnet, Java, Ruby, eBPF, Python, Node.js, and Rust.
• Built & Enhanced the functionality of the Pyroscope plugins to provide users with an intuitive interface for exploring and analyzing application profiles.

This position focuses on implementing distributed systems to effectively manage profile ingestion and queries.

Pyroscope is trusted by leading multinational companies for essential applications and infrastructure. We prioritize innovation and inclusivity, empowering every team member to share ideas that improve our product as a dependable solution.

What You'll Be Doing: 

• Collaborate with your team to deliver new features, analyze outcomes, and make improvements
• Lead projects from concept to implementation, including ongoing customer support
• Design, build, operate, and maintain essential systems, ensuring reliability, performance, and availability
• Take an active role in influencing our roadmap and your own career objectives 
• Participate in on-call rotations and take responsibility for the services you oversee
• Support and mentor team members, engage in design conversations, and work closely with colleagues
• Expand your skill set by deepening your knowledge of our cloud products, understanding our customers, and learning about our codebase
• As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit: 

• You are a motivated self-starter with a bias toward action
• We build everything with our users in mind.
• You have a passion for creating intuitive products that fit customers’ needs.
• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar, then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Strong experience with designing and developing software that runs in the Cloud or experience with systems engineering
• Experience writing clean, robust, and performant software that is easily maintained by others.
• Experience with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code
• Solid experience with distributed systems
• Experience working with Kubernetes

Bonus Points For: 

• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture
• Databases backend experience

In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Staff Software Engineer, Developer Advocacy | US | Remote

This is a fully remote position and we're considering candidates in the US.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In the United States, the base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.

Senior AI Engineer 

The Opportunity: 

At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. 

What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• 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. 

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. 
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.

Requirements: 

• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users. 
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points For:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 164,490  -  CAD 197,389. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.

The Opportunity:

The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.

Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.

This team works at the intersection of:

• frontend observability,
• backend data processing and storage at scale,
• debugging workflows across products,
• privacy and access control,
• performance and cost constraints at scale.

Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. 

What you'll be doing:

As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:

• Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
• Drive the evolution of our backend architecture, including:
• Designing systems around columnar/analytical data storage for large-scale session data 
• Defining data models, ingestion pipelines, and query patterns
• Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
• Make high-leverage architectural decisions that impact multiple teams and products
• Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
• Improve engineering standards, patterns, and operational practices within the team
• Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:

• Go (backend services and APIs)
• Columnar/Analytical data storage (core data storage and querying)
• Object storage (S3, GCS, Azure Blob Storage) and MySQL 
• TypeScript / React (user-facing workflows)
• Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:

• You are comfortable working in a remote-first company; communication is key.
• For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
• Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
• You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
• You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
• You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:

• Experience with columnar/analytical databases
• Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
• Experience building debugging or developer-focused tools.
• Familiarity with privacy, security, and access control in data-heavy systems
• Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 231,960.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here. Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

This is a remote position. We are looking for candidates in the EST or CT timezone in the United States or Canada.

The Opportunity:

The Session Replay squad is building a new Grafana Cloud product that helps our customers to understand what users actually experienced when something goes wrong.

Session Replay connects frontend signals (errors, performance, synthetic checks) to concrete session-level evidence, enabling faster and more confident investigation of production issues.

This team works at the intersection of:

• frontend observability,
• backend data processing and storage at scale,
• debugging workflows across products,
• privacy and access control,
• performance and cost constraints at scale.

Session Replay is still early, which means you’ll help shape both what we build and how it fits into Grafana Cloud. A key part of our next phase is evolving the backend architecture of capturing sessions, including a migration toward columnar/analytical solution as a primary storage and query engine for high-volume session data.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Software Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! Our stack is Golang, Typescript and React, but we build tools for people using many other stacks. 

What you'll be doing:

As a Staff Software Engineer, you will operate as a technical leader and systems thinker, driving both product direction and architectural evolution, specifically, you will:

• Own end-to-end technical direction for Session Replay, spanning frontend, backend, and data systems
• Drive the evolution of our backend architecture, including:
• Designing systems around columnar/analytical data storage for large-scale session data 
• Defining data models, ingestion pipelines, and query patterns
• Lead the design of investigation workflows, connecting replay with logs, metrics, traces and other telemetry across Grafana Cloud
• Make high-leverage architectural decisions that impact multiple teams and products
• Partner with teams across Grafana (Frontend Observability, Synthetic Monitoring, Core Grafana) to build cohesive cross-product experiences
• Improve engineering standards, patterns, and operational practices within the team
• Mentor engineers and help grow technical leadership within the team

Technologies you'll work with:

• Go (backend services and APIs)
• Columnar/Analytical data storage (core data storage and querying)
• Object storage (S3, GCS, Azure Blob Storage) and MySQL 
• TypeScript / React (user-facing workflows)
• Grafana ecosystem (Mimir, Loki, Tempo, etc.)

What Makes You a Great Fit:

• You are comfortable working in a remote-first company; communication is key.
• For us, working together means being collaborative, friendly, kind, and respectful. We operate by consensus. You can contribute to a discussion, disagree constructively, and commit to the team’s decision. You are able to communicate design decisions clearly in written and spoken English.
• Ability to reason about data-intensive systems (ingestion, storage, querying, cost trade-offs)
• You are comfortable owning features in ambiguous problem spaces. We are a small team, working remotely, on a product that will be used by engineers all over the world – the ability to work on your own is crucial.
• You have a good understanding of a software development process that takes a user-centered approach. You easily build an understanding of the users’ context and goals which will help you build the right solution with the maximum value.
• You enjoy working on complex solutions – Grafana is a highly technological solution and has avid followers who rely on it every day and who care deeply about their workflows. You value code maintainability, readability & automation.

Bonus Points For:

• Experience with columnar/analytical databases
• Experience with observability tools (Grafana, Datadog, New Relic, Sentry, etc.).
• Experience building debugging or developer-focused tools.
• Familiarity with privacy, security, and access control in data-heavy systems
• Experience working on performance-sensitive systems (large datasets, real-time queries, session data)

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 218,733.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

This is a remote position. We are looking for candidates in the Canadian time zones.

What is Grafana Cloud?

Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack.

The Databases department owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. We offer our databases as a Cloud service supporting Grafana Cloud.

Adaptive Telemetry Group

The Adaptive Telemetry group, part of the Databases department, has the mission of ensuring that all telemetry stored in our databases is worthy of attention. Under that mission, the group is responsible for the development of Adaptive Metrics, Adaptive Logs, Adaptive Traces and Adaptive Profiles.

Our Adaptive Telemetry solutions give users the ability to control and optimize their telemetry data. These solutions ensure that data storage is optimized based on individual usage patterns, so only the most valuable data is retained.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. 

What will you be doing: 

• Drive technical strategy and roadmap. Proactively define the architectural vision, prioritize work that unlocks major product or platform improvements, and influence product and engineering decisions.
  
  
• Lead end-to-end delivery of large, cross-functional projects. Own planning, design, execution, rollout and long-term operation of large initiatives.
  
  
• Own architecture, reliability, performance and cost for critical systems. Make pragmatic architecture choices that balance scalability, availability, latency and cost while ensuring systems remain maintainable and evolvable.
  
  
• Define SLOs/SLIs and lead incident response. Establish measurable reliability targets, run high-severity incident response, lead blameless post-mortems, and drive systemic fixes and automation to prevent recurrence.
  
  
• Improve observability, automation and operational readiness. Champion telemetry, alerting, runbooks, capacity planning and automation efforts that reduce toil, speed debugging and lower MTTR.
  
  
• Align stakeholders and remove blockers. Coordinate across Product, Design and other teams to align priorities, negotiate tradeoffs, and unblock delivery for large initiatives.
  
  
• Mentor and grow engineering talent. Coach senior and mid-level engineers, lead design reviews, raise engineering standards, and help teammates make sound technical tradeoffs.
  
  
• Represent engineering internally and externally. Communicate technical strategy clearly to non-engineering stakeholders and represent the team in cross-team planning.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What makes you a great fit:

You are a motivated self starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs 

• Proven delivery of large distributed systems. Experience shipping and operating complex systems that span multiple teams, with clear evidence of technical leadership and impact.
  
  
• Strong systems-design instincts. Deep understanding of tradeoffs around latency, consistency, availability, scaling and cost.
  
  
• Hands-on cloud and platform experience. Solid experience with cloud-native architectures (microservices, containers/Kubernetes, IaC) and the operational practices that keep them healthy.
  
  
• Reliability and performance ownership. Comfortable defining SLOs/SLIs, doing capacity planning, tuning performance, and driving reliability work end-to-end.
  
  
• Excellent coding and design skills. You write clear, maintainable, well-tested code and can lead technical designs — we use Go, but Python/C/C++/Rust or similar translate well.
  
  
• Comfort with AI-assisted development. We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered developer tools and ideally have practical experience folding them into a team’s workflow.
  
  
• Experience with messaging and telemetry. Familiarity with streaming/messaging systems (e.g., Kafka) and observability tooling (Prometheus/Grafana or equivalents).
  
  
• Influence without authority. Ability to align cross-functional stakeholders, set priorities and drive outcomes in a remote-first environment.
  
  
• Strong communicator. Clear written and verbal communication that works across engineers and non-technical stakeholders.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here. Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

*Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

This is a remote position. We are looking for candidates in the USA and Canada EST/CST time only.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In the US, the Base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In the United Kingdom, the Base compensation range for this role is £103,958 - £124,750. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In Sweden, the Base compensation range for this role is 878,578 SEK - 1,054,294 SEK. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In Spain, the Base compensation range for this role is 94,025 EUR - 112,830EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In Germany, the Base compensation range for this role is 109,709 EUR - 131,651 EUR. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are looking for candidates in the USA and Canada EST/CST time only.

The Opportunity:

We are looking for an experienced product marketer to join as a key member of the Grafana Labs Product Marketing team. In this role, you will be responsible for creating Go-To-Market programs that effectively position the value of Grafana Labs and its products to solve the needs of target customers. You will show how our products and solutions — as well as our open source strategy — help prospects and customers achieve their goals. 

As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning across key personas and product areas. You’ll work closely with both product management and enablement to help buyers buy (and sellers sell) our value.

Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we are thinking differently about product marketing. Rather than purely executing launches or campaigns, we want PMMs to teach Product Managers and Engineers in our org how to think about growth and demand, and to codify product marketing knowledge in tools and processes that anyone in the organization can use.

Grafana Labs is a fast-paced and growing organization. As such, this role requires both strategic and planning skills as well as hands-on tactical execution (blogs, webinar outlines, video scripts, etc).

What You'll Be Doing:

• Actively partner with and teach Product Managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
• Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information.
• Own and manage the launch of new products/features relevant to target buyers
• Conduct internal and customer research to understand pain points, competition and opportunities
• Teach go-to-market and sales teams how to gain value from our products: clearly define the capabilities of our products and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
• Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.

What Makes You a Great Fit:

• 5+ years of relevant experience (product marketing, solutions marketing, product management)
• Experience with marketing and selling to a technical audience
• A passion for open source, cloud native, and infrastructure technologies 
• Proven ability to take on complex projects and efficiently drive them from start to finish
• Ability to clearly articulate the value of technical products to customers and sellers alike
• Experience leading product or feature launches autonomously as well as part of a team
• Comfort working with a variety of internal and external stakeholders in complicated processes
• Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
• Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
• Exceptional writing and communication skills
• A high “say-do” ratio in executing and delivering impact 

What you’ll bring to the role

You’ll bring a passion for quality, pride in the strategic impact of your work, and the ability to thrive in a fast-paced environment.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD $186,368 - CAD $223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Staff AI Engineer

The Opportunity: 

Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You’ll Be Doing:

Agentic Tool Development

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Manufacturing

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit / Requirements:

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points For:

• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
• Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
• Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
• Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
• Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
• Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986  -  USD 209,983. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.

Staff AI Engineer

The Opportunity: 

Grafana's Revenue Operations organization is looking for a Staff AI Engineer to own the AI agent infrastructure and automation platform that powers our GTM teams. You'll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You'll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You'll identify the highest-leverage problems across Sales, Customer Success, and Marketing, design the solutions, and ship them. You'll define the technical direction for the automation platform—data models, API contracts, shared libraries, reference architectures—and partner with Data Engineering, GTM Systems, Field Operations, and GTM leadership to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You’ll Be Doing:

Agentic Tool Development

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Manufacturing

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit / Requirements:

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator—you can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points For:

• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI tools
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools
• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, pgvector, or similar)
• Prior work automating sales, customer success, or marketing workflows in a B2B SaaS environment
• Experience with workflow automation platforms like n8n, Prefect, Clay, PhantomBuster, Apify, Dust, or similar tools
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources and tools
• Exposure to observability tools for AI systems (LangSmith, Weights & Biases, custom logging/evaluation frameworks)
• Experience working in Revenue Operations, GTM Analytics, or Sales Operations environments
• Previous experience in open source or developer-focused SaaS companies—Grafana is built on OSS and we value engineers who share that DNA

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368  -  CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In the UK, the Base compensation range for this role is GBP 117,000 - GBP 147,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Senior AI Engineer 

The Opportunity: 

At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. 

What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• 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. 

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. 
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.

Requirements: 

• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users. 
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points For:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 154,445  -  USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are considering candidates in the US or Canada EST timezone, Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 211,000 - CAD 264,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

This is a remote position. We are considering candidates in the US or Canada EST timezone, Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 208,000 - USD 260,000.  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

*Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

This is a remote opportunity and we are looking for candidates from the U.S.

The Opportunity

Grafana Labs is looking for a Staff AI Engineer, People Technology to help build the next generation of AI-powered systems that support our global workforce and People programs. This role sits within the People Technology team, partnering closely with People Operations, Talent Acquisition, Enablement, Finance, and Go-to-Market teams to design intelligent workflows and data products that improve how we hire, develop, and support Grafanistas worldwide.

At Grafana Labs, we believe AI should be actually useful. Our approach to AI is grounded in solving real problems and creating practical tools that help teams work better. As part of this philosophy, you’ll apply AI thoughtfully within our People systems, building solutions that improve how we operate and support team members.

As our first People Team AI Engineer, you’ll architect and implement AI-driven solutions that unlock insights from our People data ecosystem, including BigQuery and systems such as Workday, Greenhouse, Docebo, Tangelo, and Salesforce. Your work will focus on creating scalable data pipelines, automation, and AI-powered workflows that drive operational efficiency and deliver actionable insights for People leaders.

This role requires both technical depth and a strong understanding of data governance, privacy, and responsible AI practices. You’ll help establish standards for anonymization, ethical AI usage, and secure handling of sensitive People data while building systems that empower the People team to make data-informed decisions.

As a Staff-level engineer, you will also set technical direction, mentor other engineers, and influence how AI is adopted and governed across the broader organization, not just within the People team.

This is an opportunity to play a foundational role in shaping how AI supports the employee lifecycle at Grafana Labs, from recruiting and onboarding to development, engagement, and workforce planning.

What You'll Be Doing

AI Architecture & People Data Intelligence

• Design and build AI-powered workflows, agents, and analytics tools that transform People data into actionable insights and reduce manual processes across the People Team
• Architect solutions that leverage BigQuery as the central data layer, integrating platforms such as Workday, Greenhouse, Docebo, Tangelo, Salesforce, and other internal systems
• Establish and maintain CI/CD pipelines, testing frameworks, and observability standards for AI systems and automated workflows
• Define prompt engineering standards, version control practices, and evaluation frameworks for LLM-based systems operating on People data
• Partner with People Analytics to ensure AI systems operate on well-governed, high-quality datasets and align with established workforce metrics and data models
• Build internal dashboards, AI assistants, or automated workflows that support reporting, insights, and operational efficiency
• Collaborate with People partners to translate business problems into scalable technical solutions
• Define and track success metrics and measurable business outcomes for AI initiatives, including efficiency gains, time savings, and decision quality improvements

Responsible AI, Security & Data Governance

• Design systems that securely handle sensitive employee data using anonymization, aggregation, and robust access controls
• Establish governance standards for AI models, prompts, and automation workflows, ensuring compliance with internal security, privacy, and regulatory requirements
• Implement monitoring and evaluation frameworks that ensure AI systems operate accurately, fairly, and reliably over time

Cross-Functional Collaboration & Enablement

• Partner closely with Data Engineering and teams across People, IT, Security and Privacy, Finance, and GTM Operations to align data architecture and AI capabilities
• Collaborate with other AI Engineers across the organization to align on architecture patterns, shared tooling, and company-wide AI standards
• Document systems, architecture decisions, and governance frameworks for People AI initiatives
• Help establish internal standards for AI experimentation, deployment, and measurement of impact
• Provide guidance and enablement to People teams adopting AI-driven tools and workflows
• Create training materials, playbooks, and scalable frameworks that enable People team members to confidently build, trigger, and measure AI-assisted workflows independently

Technical Leadership

• Set technical direction for AI architecture within the People technology ecosystem
• Mentor and provide technical guidance to engineers and technical partners working on adjacent systems
• Influence cross-functional architecture decisions, advocating for responsible, scalable, and well-governed AI practices across the organization
• Drive alignment between AI initiatives and broader engineering standards, ensuring People systems are not built in isolation

What Makes You a Great Fit

• 7+ years of engineering or data engineering experience, including 2+ years working with AI/ML systems or LLM-based workflows. Demonstrated ability to set technical direction, mentor engineers, and drive organization-wide impact through AI or automation initiatives
• Strong experience working with Google Cloud Platform and BigQuery for data processing and analytics
• Proficiency in Python, SQL, modern APIs, and LLM platforms or frameworks (OpenAI, Gemini, Claude, or similar), including integrating enterprise SaaS systems such as HRIS or CRM platforms
• Experience designing scalable data pipelines, automation frameworks, and analytics platforms, with a strong knowledge of data modeling, ETL/ELT pipelines, and analytics infrastructure
• Experience working with sensitive data environments and implementing responsible AI practices, including anonymization, access controls, governance, and regulatory considerations when applying AI to People data
• Ability to partner with both technical and non-technical stakeholders to define and deliver solutions, document systems clearly, and translate evolving business needs into scalable technical solutions

Bonus Points

• Experience working with HR technology ecosystems such as Workday, Greenhouse, and learning platforms
• Background in People Analytics or workforce analytics platforms
• Experience building internal AI tools, copilots, or automation agents for business teams
• Familiarity with workflow automation platforms (Zenphi, n8n, Workato, Zapier, Make, etc.)
• Experience working in high-growth SaaS or distributed organizations
• Contributions to AI governance frameworks, responsible AI standards, or open-source AI tooling

In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Germany, the Base compensation range for this role is EUR 120,000 - EUR 151,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position in US and Canada. 

The Opportunity:

We are the creators of Pyroscope, an open-source continuous profiling database that offers rapid, scalable, highly reliable, and efficient storage and querying capabilities. It aids in gaining a comprehensive insight into resource utilization within applications, right down to the specific line of code. The project seamlessly integrates with Grafana, enabling users to correlate profiling data with metrics, logs, and traces, and leverage profiles as a crucial component of application observability. Our dedicated backend development team works closely with clients and the Grafana Cloud teams to deliver profiling solutions for on-premises and cloud environments at scale.

In our expansive domain, some of the projects we have undertaken include:

• Implementing distributed systems to effectively manage profile ingestion and queries.
• Establishing instrumentation support for various programming languages including Golang, Dotnet, Java, Ruby, eBPF, Python, Node.js, and Rust.
• Built & Enhanced the functionality of the Pyroscope plugins to provide users with an intuitive interface for exploring and analyzing application profiles.

This position focuses on implementing distributed systems to effectively manage profile ingestion and queries.

Pyroscope is trusted by leading multinational companies for essential applications and infrastructure. We prioritize innovation and inclusivity, empowering every team member to share ideas that improve our product as a dependable solution.

What You'll Be Doing: 

• Collaborate with your team to deliver new features, analyze outcomes, and make improvements
• Lead projects from concept to implementation, including ongoing customer support
• Design, build, operate, and maintain essential systems, ensuring reliability, performance, and availability
• Take an active role in influencing our roadmap and your own career objectives 
• Participate in on-call rotations and take responsibility for the services you oversee
• Support and mentor team members, engage in design conversations, and work closely with colleagues
• Expand your skill set by deepening your knowledge of our cloud products, understanding our customers, and learning about our codebase
• As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit: 

• You are a motivated self-starter with a bias toward action
• We build everything with our users in mind.
• You have a passion for creating intuitive products that fit customers’ needs.
• Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
• Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
• Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar, then that translates well
• Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
• Strong experience with designing and developing software that runs in the Cloud or experience with systems engineering
• Experience writing clean, robust, and performant software that is easily maintained by others.
• Experience with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code
• Solid experience with distributed systems
• Experience working with Kubernetes

Bonus Points For: 

• Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects)
• Exposure to microservices architecture
• Databases backend experience

In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants based in Canada, EST timezones at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Canada, the compensation range for this role is CAD 186,368 - 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role.

The Opportunity

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You'll Be Doing

Agentic Systems & AI Infrastructure

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Enablement

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points

• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
• Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
• Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
• Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
• Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
• Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA

In Canada, the base compensation range for this role is CAD 186,368 - CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Germany, the compensation range for this role is EUR 109,709 - EUR 131,651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

The Opportunity:

Grafana Lab’s Order to Cash team is hiring for a Collections Manager to optimise the end-to-end collections process. The role will have significant business impact driving timely cash receipts, minimizing bad debt, and supporting strong customer relationships. This role partners closely with Sales, Finance, and Legal while owning the full accounts receivable aging and leading collections strategy.

This position is ideal for a systems-minded operator who works smarter to free up time and focus on the work that matters most, has a passion for automation, and is eager to scale collections processes in a growing SaaS environment. 

This is an individual contributor (IC) role reporting directly to the Sr. Manager, Financial Operations.

What You’ll Be Doing:

• Own the end-to-end collections process for the entire AR aging, driving timely resolution of past-due balances through proactive outreach and negotiation
• Manage collections through a case management system, owning assigned tickets, queues, and collections escalations end to end
• Evolve and enhance collections strategies aligned with company policies, customer segmentation, and risk profiles
• Analyze AR aging, payment trends, consumption patterns, and dispute data to identify risk, prioritize actions, and improve cash flow
• Resolve billing disputes by coordinating with Billing, Sales, and other internal teams
• Lead and resolve complex collections escalations, applying sound judgment and risk mitigation principles
• Own the downgrade and bad debt write-off process, ensuring proper review, documentation, and approvals
• Spearhead continuous improvement initiatives be leveraging AI specifically in process documentation, automation, and tooling enhancements to scale the business
• Build systems and workflows that reduce manual effort and enable efficient, repeatable collections operations
• Provide insights and recommendations to leadership on AR health, customer risk, and process efficiency
• Support month-end and quarter-end close activities related to accounts receivable 
• Own Collections Cash forecasting and working closely with Finance & Strategy team to align company cash targets 
• Collaboration and mentorship with junior team members across Order to Cash.
  Reduced past-due AR and improved DSO
• Scalable, well-documented, and automated collections practices

What Makes You a Great Fit:

• 5+ years of experience in B2B collections, accounts receivable, or Order-to-Cash roles
• Strong understanding of AR processes, billing systems, and dispute management
• Experience supporting SaaS businesses, including consumption or usage-based pricing models
  
• Experience managing collections for cloud marketplaces (AWS, GCP, Azure) strongly preferred
• Proven ability to manage complex customer relationships and sensitive financial conversations
• Analytical, risk-aware mindset with experience using data to prioritize work and influence outcomes
• Strong systems mindset with a passion for automation and scalable process design
• Comfortable working cross-functionally in a fast-paced, scaling environment
• Excellent written and verbal communication skills
• Experience with ERP and AR systems (e.g., NetSuite) preferred
• Experience enhancing ticketing systems (Zendesk preferred) 
• Experience with Salesforce 

What You’ll Bring to the Role:

• Advanced collections and negotiation skills
• Strong judgment and decision-making skills
• Ability to influence
• Company- and cash-first mindset
• Customer-centric mindset balanced with financial rigor
• High attention to detail and strong ownership mentality
• Continuous improvement orientation
• Mentorship mindset, with a willingness to coach and share best practices
• Strong partnerships with internal stakeholders

Compensation & Rewards:

In the United States, the Base compensation range for this role is $88,000 - $106,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we are looking for candidates from the U.S.

The Opportunity

Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily.

This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency.

What You'll Be Doing

Agentic Systems & AI Infrastructure

• Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation
• Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams
• Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs)
• Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management
• Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths

Systems Integration & Backend Services

• Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools)
• Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context
• Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure

Automation & Workflow Enablement

• Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes
• Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards
• Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently

We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards.

What Makes You a Great Fit

• 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering
• 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes
• Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline
• Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation
• Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring
• You diagnose business problems before writing code. You think in workflows and outcomes, not just functions.
• Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run)
• Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management
• Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction
• Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems
• Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders

Bonus Points

• Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector)
• Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach)
• Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces
• Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks)
• Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow)
• Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources
• Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment
• Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA

In the United States, the base compensation range for this role is USD $174,986 - USD $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time.

Staff Software Engineer - Grafana Cloud Observability, Kubernetes Monitoring

The Opportunity: 

Grafana Cloud is our composable observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, and Tempo – without the overhead of installing, maintaining and scaling their own observability stack

The Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it.

In this role, you will be part of the team that builds our Cloud Observability stack that allows customers to collect and visualize metrics from various systems and applications. We build and maintain the backend of opinionated applications such as Cloud Provider Observability, Database Observability, and Kubernetes Monitoring. This includes the dashboards, alerts, documentation, and infrastructure while working closely with other teams to ensure seamless experiences. We also strive to incorporate OSS contributions in our work by contributing to projects such as Alloy, Prometheus, OpenTelemetry, and Beyla. The Observability department provides a core building block for customers using Grafana Cloud.

As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. We are looking for Engineers that are passionate about communicating with data and providing seamless experiences for our customers to join our growing team! Engineers at Grafana also have the opportunity to contribute to Open Source communities.

What You’ll Be Doing:

At Grafana Labs, our engineers have a dedicated career path and do not have to become managers to progress in their career. Staff Software Engineers at Grafana have a large amount of experience across multiple areas. They are able to estimate, plan, coordinate and deliver large tasks spanning multiple systems. They actively coach and mentor other team members in their team and are able to identify and resolve issues with technology and product processes.

You will bring your passion for observability and software engineering expertise to help us take our infrastructure monitoring capabilities within Grafana Cloud to the next level. This will include working with our Kubernetes monitoring solution.

• Design and implement high-quality, scalable integrations for various infrastructure components, applications, and data ingestion pipelines 
• Create middleware components and libraries that simplify development and maintenance of observability solutions
• When necessary, represent Grafana Labs in open source forums, working groups, and events
• Work with product teams, in addition to design and docs, to develop features that align with wider product strategy and customer needs
• Lead the technical direction and vision of the team, contributing to strategic discussions and future development of observability solutions
• Work with other departments including Sales, Product, and Support teams to deliver a holistic product experience
• Take ownership of the services you’re running by deploying well tested clean code
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope

As we are remote-first and our engineering organization is entirely remote, we provide guidance and meet regularly using video calls, so an independent attitude, good communication skills, and transparency are a must.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• You have a passion for observability and like to share your knowledge by writing documentation and blog posts.
• You love to engage with customers and help them out.
• You have excellent communication skills.
• You have relevant open source experience, ideally in the observability domain.
• You are willing to become an active member of the OpenTelemetry and Prometheus communities.
• You’re curious and you enjoy learning new programming languages and frameworks, setting up examples, and figuring out how things work.
• You have a good understanding of typical production environments. Ideally you have been responsible for operating production services and organizing on-call.
• You actively mentor other team members, identifying areas for focus and improvement.

Requirements:

• Strong 8+ years of experience with at least one programming language - any major language (Python, .NET, Java, Go, Rust, etc) is acceptable
• Demonstrated working experience in operating high-scale production systems running on Kubernetes and monitoring it, including on-call participation, incident response, and postmortem practices
• Familiarity with observability tooling (e.g. Grafana)
• Strong understanding of time-series data, metrics cardinality challenges, and cost/performance tradeoffs/optimizations in observability systems
• Experience in a hands-on technical leadership role - setting technical direction, leading project teams, and influencing architectural decisions beyond your immediate team
• Deep understanding of distributed systems concepts including scalability, consistency, high availability, and failure modes in large-scale systems
• Experience writing clean, maintainable, robust, and performant software
• Experience with delivering projects from start to finish in a self-driven manner
• Excellent problem-solving and debugging skills
• Strong mentoring and leadership skills

Bonus Points For:

• Experience operating or scaling Prometheus in high-cardinality, multi-tenant environments
• Experience working with OpenTelemetry Collector pipelines or similar telemetry ingestion systems
• Certified Kubernetes Administrator (CKA)/ Certified Kubernetes Application Developer (CKAD) or any other Kubernetes related certification from CNCF
• Experience developing Kubernetes operators, controllers, or custom resources
• Strong understanding of metrics collection, visualization, and alerting concepts
• Experience contributing to or maintaining open source projects, with evidence of successful pull requests and community collaboration
• Experience designing and building observability backends for various systems and applications

Compensation & Rewards:

In Spain, the compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from USA time zones only at this time.

Staff AI Engineer 

The Opportunity: 

At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. 

What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• 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. 

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. 
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.

Requirements: 

• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users. 
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points For:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 174,986 - USD 209,983. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Sweden, the Base compensation range for this role is SEK 949,000 - SEK 1,246,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote position. We are considering candidates in Germany, Sweden, Spain, Ireland and the UK only.

Senior Engineering Manager - Corporate Engineering

About the team 

We are a technical Corporate Engineering team, ensuring stakeholders across Grafana have the technology they need to excel. This covers the historical way of managing corporate systems, including IT Operations, Internal Helpdesk, Corporate Security, and service development. This also covers the future of corporate systems, where developers and non-technical employees alike need to build automations, ship internal applications, and deploy background agentic workloads. Our job is to provide the core systems and platforms to optimize our current and future stacks and enable all employees to own their own workflows. 

We can build any tool we need, while knowing when to buy to improve velocity. We support a highly autonomous, technical, 100% remote, across the globe, cloud-native organization. To support our growth and ambitious vision, we embrace agile principles and values, share openly, default to action, and have an OSS-first mindset. We believe in high-velocity but sustainable expectations and timeframes, giving people the room to do great work, and keep our souls intact.

The Opportunity 

We are looking for a leader to curate and drive our Corporate Engineering team. You will be responsible for finishing the optimization of our current IT operations stack, and be the driver of our internal AI native strategy. You want to push decision-making to wherever the right information is, rather than centralizing approvals, and you can build the processes and systems to enable all teams to experiment and own their own tools. You embody DevOps principles, and long lead or approval times fill you with dread. You see shadow IT as a signal that we have a gap, rather than something to be controlled. 

You will lead a team that manages the operation and security of traditional corporate IT systems, help desk queues, and employee hardware, but also provides tools and platforms for other teams’ to effectively operate in. Your team is also significantly responsible for the operational and security strategy for internal AI usage, agentic workloads, and general automation at Grafana. You will guide your team building and delivering internal platforms that automate typical IT work and enable our employees to do their best work seamlessly. You must have significant engineering acumen as this is a highly technology-driven role.

This is a high-impact opportunity to define what IT and corporate systems looks like in the AI age at a technical, everything-as-code company. You will have a fully staffed team and significant autonomy to achieve objectives. If you read the Phoenix Project and Seat at the Table/Art of Business Value and it struck a chord then you are the next engineering leader we are looking for. 

What You’ll Be Going:

• Lead the team covering a range of existing areas, including corporate systems, employee device lifecycles, helpdesk queues, and internal tooling development.
• Handle corporate security initiatives, deploying security and compliance checks in an employee-enabling way (guardrails and paved roads) in their daily workflows.
• Help define our wider internal AI rollout, enablement, and security strategy across all teams, not just developers. 
• Manage the relationships, negotiation, and contracting with core SaaS vendors.
• Make all work and costs visible, both internally to the team and enable stakeholder teams to understand their processes and work. Use this visibility to continuously improve processes.
• Understand and, where possible, leverage the Grafana product and ecosystem to solve corporate engineering challenges. Open-source what we come up with for the good of other Grafana users. 
• Act as a leader within the larger Foundations department, including all other platform, business application, and security teams. 
• Conduct regular 1:1s, coaching, and mentoring to ensure your team members are motivated, happy and engaged. Provide continuous feedback to ensure that they can add value while maintaining high standards.
• Participate in team activities. Be a participant in all work queues. Contribute to and review design documents for upcoming projects, ensuring projects are well-defined and ready for development. You will be part of your team’s and department's on-call rotation. 

What Makes You a Great Fit:

• Experience running a software engineering operations team. You have a strong engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. You understand at least one cloud provider well, and have a working knowledge of k8s.
• Deep hands-on experience managing and automating corporate IT systems commonly used by modern tech companies, including the gamut of operating systems (Windows, MacOS, Linux, iOS, Android), SSO (Okta, 1Password), workplace productivity tools (Google Workspace, Office) MDM (Jamf, Intune, FleetDM, Kolide), EDR, DLP, typical corporate SaaS platforms (Salesforce, Zendesk), AI providers (OpenAI, Anthropic, Cursor, Google, etc), and managing employee laptops and devices.
• You approach IT and corporate security with a DevOps mindset, preferring enablement, automation, and guardrails over gates and roadblocks. You have experience providing internal platforms to other teams and see IT as a provider of tools, platforms, and automation, rather than a ticket-taking service provider.
• Knowledge of the current AI state of the art, and strong ideas on how to leverage effectively and safely across the enterprise in a way that enables experimentation rather than locking the organization into yesterday’s technology. 
• You are deeply curious about software, security, and the current and future states of technology. You keep your teams ahead of the curve.  
• You are an excellent written and verbal communicator who can articulate complex concepts to both technical and non-technical audiences. You are comfortable working with engineering teams who have a strong sense of autonomy in their decision-making, and guiding via influence.
• Work Eastern-time oriented hours. Grafana Labs is a global company, and we need to maximize overlap time with our EMEA peers. 

Bonus Points:

• A technical background, ideally with programming or software engineering experience, before transitioning into leadership. Experience with Go, multiple cloud providers, and kubernetes expertise is a great plus. 
• Significant experience leveraging and securing AI tooling for all core personas (non-development, code, agentic automation).
• A ready plan for how to secure AII 
• Working knowledge of Grafana Labs OSS projects and products, and experience using observability tooling to solve IT or security problems.
• Experience working with OSS communities.

In Spain, the Base compensation range for this role is EUR 106,000 - EUR 133,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

Staff Software Engineer, Developer Advocacy | Canada | Remote

This is a fully remote position and we're considering candidates in Canada.

The Opportunity:

Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS.

This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers.

Your primary focus will be the open source Interactive Learning Plugin: https://github.com/grafana/grafana-pathfinder-app and its content: https://github.com/grafana/interactive-tutorials 

What You’ll Be Doing:

• Build delightful interactive learning inside Grafana
• Ship features that make learning experiences feel obvious, smooth, and scalable.
• Improve the end-to-end learner experience—from onboarding to completion.
• Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content.
• Support private guides and experiences
• Make completion tracking that actually matters
• Build progress and completion tracking that’s trustworthy, motivating, and useful.
• Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck.
• Treat observability as a product principle
• Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow.
• Make it easy to understand what’s happening in production and in real user experiences.
• Ship fast with an AI-driven development workflow
• Work daily with tools like Claude Code or Cursor in an agent-based workflow.
• Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production.

What Makes You a Great Fit:

We know it’s rare to find everything. You should be strong in at least two of the three areas below:

• AI harness experience (agentic development)
• You’ve used tools like Claude Code or Cursor in real development work (daily or close to it).
• You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness.
• Serious software engineering fundamentals
• You can ship production-grade changes and explain tradeoffs.
• You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone).
• Grafana context
• You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows.
• You understand observability practices and how Grafana fits into them.

You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences.

Bonus Points For:

• Meaningful open source contribution or maintainer experience
• Full-stack experience (strong frontend-only or backend-only profiles are also welcome)
• TypeScript and/or Go
• Kubernetes familiarity
• Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry)

Compensation & Rewards:

In Canada, the base compensation range for this role is $186,368 CAD - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

This is a remote opportunity and we would be interested in applicants from Canada time zones only at this time.

Staff AI Engineer 

The Opportunity: 

At Grafana, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. The Grafana AI teams play a key role in this mission by helping users make sense of complex observability data through AI-driven features. These capabilities reduce toil, lower the barrier of domain expertise, and surface meaningful signals from noisy environments. 

What makes our team different is how we work: we operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.

We’re looking for an AI Software Engineer with a strong software engineering background, a quick iteration mindset, and a passion for experimentation – balanced by a focus on shipping and scaling impactful features that deliver value to users. You’ll work closely with cross-functional teams to develop, test, and ship AI-powered features that contribute to improving infrastructure and observability quality through automation, while also expanding the capabilities of AI agents across the observability stack to assist users with incident response. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.

What You’ll Be Doing:

• 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. 

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.

We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.

You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro).

What Makes You a Great Fit:

• Strong engineering skills: Solid experience building production software systems (backend and / or full stack). You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
• AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. 
• Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
• Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. 
• Collaborative attitude: You communicate effectively with peers, product managers, and designers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.

Requirements: 

• Experience with LLMs, prompt engineering, and building applications powered by GenAI.
• Proven track record of delivering software that made it into production and is actively used by users. 
• Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
• Experience using observability tools to understand and troubleshoot system behavior.

Bonus Points For:

• Experience building or working with agent frameworks or multi‑agent workflows.
• Experience with infrastructure / devops related tooling: Kubernetes, Docker, Terraform or similar for deployments.
• Familiarity with model fine-tuning techniques.
• Experience building observability tooling.

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 186,368 - CAD 223,642. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.