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 Canada, 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.

The Opportunity:

We’re seeking a Head of Global Equity Administration to establish and lead Grafana Labs’ equity administration function from the ground up. This role will own the design, implementation, and ongoing management of our global equity programs as we transition from a legacy equity platform to a public-company-ready solution. We’re investing in building best-in-class equity infrastructure that supports our employees, leadership team, and potential future public shareholders.

This is a highly visible, hands-on role for someone who thrives in complex transitions, values precision, and brings a modern mindset — including thoughtful use of AI — to scale equity operations efficiently and accurately.

What You’ll Be Doing:

• Establish and lead the stock administration function, including policies, processes, controls, and systems
• Lead the transition from an existing legacy equity platform to a scalable, public-company-ready equity administration system, including vendor selection, data migration, testing, and go-live
• Own cap table integrity and equity data accuracy throughout the platform transition and beyond
• Design, implement, and manage global equity compensation programs (e.g., stock options, RSUs, public-company, ESPP readiness)
• Oversee the full equity lifecycle: grants, vesting, exercises, cancellations, terminations, modifications, and settlements
• Partner with Finance and Legal to support public-company readiness, including disclosures, governance, internal controls, and audit requirements
• Ensure accurate and timely equity accounting in accordance with ASC 718 and public-company standards
• Oversee 409A valuation processes and ensure ongoing compliance
• Manage relationships with external vendors, including equity platforms, valuation firms, tax advisors, and external auditors
• Partner closely with People, Benefits & Compensation, and Recruiting to ensure equity programs are clearly communicated and well understood
• Prepare equity processes and systems to be SOX-ready and scalable for a public-company environment
• Leverage automation, data analytics, and AI-enabled tools to improve data validation, reconciliation, reporting, and operational efficiency
• Apply sound judgment around the use of AI in equity administration, with a focus on data integrity, security, explainability, and appropriate controls

What Makes You a Great Fit:

• 10+ years of experience in stock administration, equity compensation, or related roles
• Proven experience building and scaling an equity administration function in a high-growth company
• Hands-on experience leading a transition from a legacy equity platform to a modern, public-company-ready equity system
• Direct experience supporting IPO readiness and/or operating as a public company
• Deep knowledge of equity compensation plans, cap table management, and related tax and regulatory requirements
• Strong understanding of equity accounting (ASC 718) and internal control frameworks
• Experience administering equity programs across multiple countries and jurisdictions
• Demonstrated ability or strong mindset toward using AI, automation, and advanced tooling to improve accuracy, efficiency, and insight in equity operations
• High attention to detail combined with the ability to manage complex projects and timelines
• Clear, confident communicator who can explain equity concepts to employees, executives, and the Board
• Ability to operate independently in a fast-moving, less-structured environment

Bonus Points For:

• Certified Equity Professional (CEP) designation
• Experience implementing ESPPs or public company equity programs
• Familiarity with SOX compliance and public-company reporting
• Experience partnering with engineering or data teams on systems integrations or automation
• Experience working in a globally distributed, remote-first organization

Compensation & Rewards:

In the United States, the OTE (On-Target Earnings) compensation range for this role is $218,000 - $262,000. 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.

The Opportunity:

Grafana Labs is seeking a Contracts and Legal Systems Operations Manager to join our dedicated, collaborative, and fast-growing legal team. This is a highly cross-functional individual contributor role with significant ownership and no direct people management responsibilities. The primary responsibility of the Contracts and Legal Systems Operations Manager will be to support commercial contract negotiations and contracting processes, while optimizing CLM and CRM integrations.

The successful candidate will be an organized, detail-oriented, and analytical thinker who embraces a business-oriented approach and is excited to help with a wide range of legal projects. The successful candidate will have the ability to think strategically and establish trusted partner relationships with the legal team and internal clients across Grafana Labs.

What You’ll Be Doing:

Commercial & Procurement Contract Support

• Assist in the negotiation of Non-Disclosure Agreements, Master Service Agreements, and various vendor agreements as needed. 
• Support the contracting process throughout the entire contract lifecycle from initial request to execution. 
• Support the improvement of playbooks and form templates. 
• Provide great client service and have the ability to escalate appropriately where required. 

Contract Lifecycle Management (CLM) Support 

• Oversee and manage commercial tickets within the CLM system.
• Review executed commercial agreements to verify accurate metadata capture and ensure proper filing within the CLM system. 
• Maintain and update contract workflows as needed to reflect evolving business and legal requirements. 
• Lead and support initiatives to enhance contract workflows, driving efficiency, scalability, and process improvements. 

Salesforce (CRM) Support 

• Manage and optimize the integration between CLM system and Salesforce. 
• Partner with Legal Ops Senior Manager and Salesforce Administrators to identify, prioritize, and implement system enhancements and integration improvements. 
• Oversee and monitor the migration of commercial agreements into the CLM system via Salesforce integration.
• Develop, generate, and maintain reports to support contract tracking, pipeline visibility, and legal team performance metrics. 
• Enhance and maintain Legal Ops dashboard in Salesforce, ensuring data integrity and delivering insights to Legal Ops Senior Manager.

What Makes You a Great Fit:

• Located in North America.
• Hold a bachelor's degree or equivalent.
• A professional with 4+ years of working with CLM and CRM systems, contract management, legal support and operations, or equivalent experience. 
• Experienced in reviewing, drafting, and negotiating standard commercial contracts (SaaS experience is a plus), as well as system integrations.
• An excellent communicator and able to partner well with colleagues on the deal operations, legal, and procurement teams. 
• Experienced with high growth private companies.
• Interested in working for a dynamic and agile technology business and excited to be part of a growing team.
• Organized and efficient with your time and tasks.
• Someone with a good sense of humor who enjoys collaborating with colleagues and working in a fast-paced, evolving environment.

Compensation & Rewards:

In the United States, the OTE (On-Target Earnings) compensation range for this role is $123,000 - $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.

The Opportunity:

Grafana Labs is seeking a Contracts and Legal Systems Operations Manager to join our dedicated, collaborative, and fast-growing legal team. This is a highly cross-functional individual contributor role with significant ownership and no direct people management responsibilities. The primary responsibility of the Contracts and Legal Systems Operations Manager will be to support commercial contract negotiations and contracting processes, while optimizing CLM and CRM integrations.

The successful candidate will be an organized, detail-oriented, and analytical thinker who embraces a business-oriented approach and is excited to help with a wide range of legal projects. The successful candidate will have the ability to think strategically and establish trusted partner relationships with the legal team and internal clients across Grafana Labs.

What You’ll Be Doing:

Commercial & Procurement Contract Support

• Assist in the negotiation of Non-Disclosure Agreements, Master Service Agreements, and various vendor agreements as needed. 
• Support the contracting process throughout the entire contract lifecycle from initial request to execution. 
• Support the improvement of playbooks and form templates. 
• Provide great client service and have the ability to escalate appropriately where required. 

Contract Lifecycle Management (CLM) Support 

• Oversee and manage commercial tickets within the CLM system.
• Review executed commercial agreements to verify accurate metadata capture and ensure proper filing within the CLM system. 
• Maintain and update contract workflows as needed to reflect evolving business and legal requirements. 
• Lead and support initiatives to enhance contract workflows, driving efficiency, scalability, and process improvements. 

Salesforce (CRM) Support 

• Manage and optimize the integration between CLM system and Salesforce. 
• Partner with Legal Ops Senior Manager and Salesforce Administrators to identify, prioritize, and implement system enhancements and integration improvements. 
• Oversee and monitor the migration of commercial agreements into the CLM system via Salesforce integration.
• Develop, generate, and maintain reports to support contract tracking, pipeline visibility, and legal team performance metrics. 
• Enhance and maintain Legal Ops dashboard in Salesforce, ensuring data integrity and delivering insights to Legal Ops Senior Manager.

What Makes You a Great Fit:

• Located in North America.
• Hold a bachelor's degree or equivalent.
• A professional with 4+ years of working with CLM and CRM systems, contract management, legal support and operations, or equivalent experience. 
• Experienced in reviewing, drafting, and negotiating standard commercial contracts (SaaS experience is a plus), as well as system integrations.
• An excellent communicator and able to partner well with colleagues on the deal operations, legal, and procurement teams. 
• Experienced with high growth private companies.
• Interested in working for a dynamic and agile technology business and excited to be part of a growing team.
• Organized and efficient with your time and tasks.
• Someone with a good sense of humor who enjoys collaborating with colleagues and working in a fast-paced, evolving environment.

Compensation & Rewards:

In the United States, the OTE (On-Target Earnings) compensation range for this role is $123,000 - $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.

Director of Engineering, Loki Databases

The Opportunity: 

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.

The Logs group, part of the Databases department, has the mission of ensuring that we provide the most-scalable, efficient and easy-to-use logs database . Under that mission, the Logs group is responsible for the development of Grafana Cloud Logs, Loki OSS, and Grafana Enterprise Logs.

Loki is a Cloud-native database, built in Go, delivered as microservices, and with data stored in object storage that powers logs observability at scale.

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 You’ll Be Doing:

• Leading a team of 20+ engineers and growing them over time, including managing managers, developing a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design and engineering leadership to define goals that move the Logs group forward and align with broader business objectives. Drive the product vision from listening to customer feedback and anticipating market trends.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality outcomes consistently.
• Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

What Makes You a Great Fit

• A strong Director level engineering people manager with an entrepreneurial vision.
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow. 

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 236,851 - USD 284,221. 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.

Director of Engineering, Loki Databases

The Opportunity: 

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.

The Logs group, part of the Databases department, has the mission of ensuring that we provide the most-scalable, efficient and easy-to-use logs database . Under that mission, the Logs group is responsible for the development of Grafana Cloud Logs, Loki OSS, and Grafana Enterprise Logs.

Loki is a Cloud-native database, built in Go, delivered as microservices, and with data stored in object storage that powers logs observability at scale.

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 You’ll Be Doing:

• Leading a team of 20+ engineers and growing them over time, including managing managers, developing a team of engineers, providing regular feedback and supporting each person’s growth through career conversations.
• Collaborate closely with product, design and engineering leadership to define goals that move the Logs group forward and align with broader business objectives. Drive the product vision from listening to customer feedback and anticipating market trends.
• Provide guidance throughout the project lifecycle from early ideation through planning, execution and post‑launch guiding the team to deliver high‑quality outcomes consistently.
• Foster a psychologically safe environment where engineers can learn, experiment and iterate quickly, encouraging innovation and a culture of continuous improvement.
• Work across team boundaries by contributing to projects outside your team’s scope and partnering with other functions to solve customer problems.

What Makes You a Great Fit

• A strong Director level engineering people manager with an entrepreneurial vision.
• A motivated self-starter with a strong bias toward action and ownership, able to navigate ambiguity and drive work forward in complex problem spaces.
• Comfortable collaborating across time zones and cultures in a fully remote environment, using clear, empathetic communication to build trust, connection, and psychological safety.
• Experienced in guiding and supporting other engineers, leading initiatives or small teams, and collaborating effectively to drive projects to successful outcomes.
• Demonstrated ability to manage complexity, align stakeholders, and elevate team performance to deliver meaningful, high-quality results.
• Deeply customer-focused, consistently grounding decisions and technical choices in user needs and real-world impact.
• Solid understanding of distributed systems principles, including scalability, fault tolerance, consistency, and observability.
• Comfort with AI-assisted tooling.  We embrace AI and agentic development so we expect you to be curious and comfortable using AI-powered tools and ideally have practical experience folding them into a team’s workflow. 

Compensation & Rewards:

In Canada, the Base compensation range for this role is CAD 240,084 - CAD 288,101. 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 United States 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 team owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics, Grafana Enterprise Logs, and Grafana Enterprise Traces. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).

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. 

Mimir Squad

The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.

A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.

What will you be doing? 

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features, then use the results to iterate and improve.
• Help your team drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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.

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 building intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.

• Pragmatism: You have a bias towards action, taking direction and building a plan of action 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 squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must
• AI: some experience using LLMs for day to day coding tasks and understanding a codebase.

• 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 as a member of a larger team. Your experience includes gathering requirements and brainstorming ideas, all the way to shipping features to the customer’s hands.
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Some familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• 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 and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

Compensation & Rewards:

In the United States, the Base compensation range for this role is USD 127,651 - USD 153,180.  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 team owns and operates the telemetry databases that are Mimir for metrics, Loki for logs, Tempo for traces, and Pyroscope for profiles. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with Grafana Enterprise Metrics, Grafana Enterprise Logs, and Grafana Enterprise Traces. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure).

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. 

Mimir Squad

The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the Mimir OSS project, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly.

A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems.

What will you be doing? 

• Take an active role in influencing our roadmap and your own career objectives 
• Work with your team to deliver new features, then use the results to iterate and improve.
• Help your team drive projects from initial idea all the way to operations once it is in the hands of customers
• Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
• Build, operate, and maintain critical systems, owning the reliability, performance, and availability
• Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running
• Support other team members, participate in design discussions and collaborate with the team
• Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

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.

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 building intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time.

• Pragmatism: You have a bias towards action, taking direction and building a plan of action 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 squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must
• AI: some experience using LLMs for day to day coding tasks and understanding a codebase.

• 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 as a member of a larger team. Your experience includes gathering requirements and brainstorming ideas, all the way to shipping features to the customer’s hands.
• Some experience with developing software that runs in the Cloud or some experience with systems engineering
• Some experience with being on-call and following the DevOps model
• Experience writing clean, robust, and performant software that is easily maintained by others
• Some familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem.

Bonus Points For:

• Experience working with Kubernetes
• Experience working with queue systems, e.g. the Kafka protocol
• 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 and distributed systems, or a desire to learn
• Familiarity with the concept of infrastructure as code

In Canada, the Base compensation range for this role is CAD 129,392 - CAD 155,272.  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 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.

The Opportunity: 

About our Platform:
Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

We are hiring a Senior Risk Management Engineer to help mature our risk management program. 

What You'll Be Doing:

Grafana Labs is hiring for a Risk Management specialist to help identify, analyze, and mitigate potential risks, financial, operational, or reputational risks that threaten Grafana Labs. You will help uncover, document and manage these risks to ensure regulatory compliance, and prepare risk reports to support informed decision-making. This will report into the Governance, Risk and Compliance group while having broad reach across the company.

Key Responsibilities

• Identify and articulate material risks
• Ensure consistency between disclosure and operational reality
• Quantify exposure where possible
• Maintain defensible documentation
• Participate in risk identification processes
• Evaluate incident response history
• Evaluate security maturity
• Monitor controls documentation
• Map risks to security and compliance controls 
• Monitor and evaluate evidence retention

What You'll Be Doing:

• Embed risk into engineering lifecycle
• Partner with Security and Platform Engineering
• Drive operational risk quantification
• Support diligence with architecture fluency
• Own the enterprise risk framework
• Coordinate with Legal, Finance, and Audit
• Build board-level reporting structure

What Makes You a Great Fit:

Education: Bachelor’s degree in finance, business administration, risk management, or a related field.

Experience: Previous experience in risk management, compliance, or analytical roles.

Technical Skills: While this is not an engineering role, knowledge of software development concepts will help immensely. 

Certifications: Professional certification, such as a Certified Risk Management Professional (CRMP), is desirable.

Soft Skills: Strong analytical, problem-solving, and communication skills.

Compensation & Rewards:

In Germany, the Base compensation range for this role is €85,000 - €103,000. 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.

The Opportunity: 

About our Platform:
Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

We are hiring a Senior Risk Management Engineer to help mature our risk management program. 

What You'll Be Doing:

Grafana Labs is hiring for a Risk Management specialist to help identify, analyze, and mitigate potential risks, financial, operational, or reputational risks that threaten Grafana Labs. You will help uncover, document and manage these risks to ensure regulatory compliance, and prepare risk reports to support informed decision-making. This will report into the Governance, Risk and Compliance group while having broad reach across the company.

Key Responsibilities

• Identify and articulate material risks
• Ensure consistency between disclosure and operational reality
• Quantify exposure where possible
• Maintain defensible documentation
• Participate in risk identification processes
• Evaluate incident response history
• Evaluate security maturity
• Monitor controls documentation
• Map risks to security and compliance controls 
• Monitor and evaluate evidence retention

What You'll Be Doing:

• Embed risk into engineering lifecycle
• Partner with Security and Platform Engineering
• Drive operational risk quantification
• Support diligence with architecture fluency
• Own the enterprise risk framework
• Coordinate with Legal, Finance, and Audit
• Build board-level reporting structure

What Makes You a Great Fit:

Education: Bachelor’s degree in finance, business administration, risk management, or a related field.

Experience: Previous experience in risk management, compliance, or analytical roles.

Technical Skills: While this is not an engineering role, knowledge of software development concepts will help immensely. 

Certifications: Professional certification, such as a Certified Risk Management Professional (CRMP), is desirable.

Soft Skills: Strong analytical, problem-solving, and communication skills.

Compensation & Rewards:

In the UK, the Base compensation range for this role is £81,000 - £98,000. 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.

The Opportunity: 

About our Platform:
Grafana Cloud moves millions of metrics, log lines, and traces per second from our customers' environments into a highly available, low-latency stack that processes and stores this data, and serves them to dashboards and alerting tools. We aim to grow this to hundreds of millions per second, and it's critical that as we grow, we improve our performance, increase our reliability, and, of course, do it efficiently and effectively.

We are hiring a Senior Risk Management Engineer to help mature our risk management program. 

What You'll Be Doing:

Grafana Labs is hiring for a Risk Management specialist to help identify, analyze, and mitigate potential risks, financial, operational, or reputational risks that threaten Grafana Labs. You will help uncover, document and manage these risks to ensure regulatory compliance, and prepare risk reports to support informed decision-making. This will report into the Governance, Risk and Compliance group while having broad reach across the company.

Key Responsibilities

• Identify and articulate material risks
• Ensure consistency between disclosure and operational reality
• Quantify exposure where possible
• Maintain defensible documentation
• Participate in risk identification processes
• Evaluate incident response history
• Evaluate security maturity
• Monitor controls documentation
• Map risks to security and compliance controls 
• Monitor and evaluate evidence retention
• Cover US Eastern-time (ET) oriented working hours. Much of the team and company are based in Europe, so it's critical to maximize overlapping hours. On some days, meetings can start at 9am ET. 

What You'll Be Doing:

• Embed risk into engineering lifecycle
• Partner with Security and Platform Engineering
• Drive operational risk quantification
• Support diligence with architecture fluency
• Own the enterprise risk framework
• Coordinate with Legal, Finance, and Audit
• Build board-level reporting structure

What Makes You a Great Fit:

Education: Bachelor’s degree in finance, business administration, risk management, or a related field.

Experience: Previous experience in risk management, compliance, or analytical roles.

Technical Skills: While this is not an engineering role, knowledge of software development concepts will help immensely. 

Certifications: Professional certification, such as a Certified Risk Management Professional (CRMP), is desirable.

Soft Skills: Strong analytical, problem-solving, and communication skills.

Compensation & Rewards:

In the US, the Base compensation range for this role is $143,000 - $173,000. 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 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.

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 and Finance, 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. This role sits within the GTM Systems team and you will work closely with the Field Operations team and the System Administrators within GTM Systems.

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, Salesforce, 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, and Finance to 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—you can explain complex systems in simple terms to both engineers and business stakeholders
• Familiarity with GTM platforms like Salesforce, HubSpot, Outreach, Gainsight, or similar CRM/sales engagement tools

Bonus Points for: 

• Experience with frontend frameworks & tooling (React, Slack Block Kit, dashboard components) to build user-facing interfaces for AI 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 $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.

The Opportunity

We're looking for a relationship-first talent professional to build and own our sales talent pipeline — sourcing, engaging, and warming high-quality candidates long before a role becomes vacant. The goal is to move from reactive hiring to an always-on pipeline of engaged talent, so that when a seat opens, we're already talking to the right people. This is a 12 month contract. 

What You'll Be Doing

Pipeline Building & Sourcing Build and own segmented pipelines for our most critical sales roles — Enterprise AE, Solutions Engineer, Regional Sales Director, and beyond. Map the external talent landscape, build targeted candidate lists, and source across LinkedIn, referrals, events, and social media. Partner with Sales Recruiters and Leadership to stay ahead of hiring demand and keep role definitions sharp.

Candidate Engagement & Nurturing Lead with career conversations, not job pitches. Conduct structured outreach to understand candidates' aspirations, motivators, compensation expectations, and timing. Maintain personalised engagement across 3, 6, and 12-month horizons — building genuine trust with passive talent over time.

Employer Brand & Content Act as an ambassador for Grafana Labs among passive sales talent. Develop compelling outreach messaging, manage CRM drip campaigns, and produce employer brand content — articles, videos, and employee stories — that makes us the employer of choice when candidates are ready to move.

Data & Recruiter Alignment Own the full candidate lifecycle in your pipeline: segment by role, seniority, readiness, and geography. Maintain rigorous CRM hygiene and translate qualitative insights into pipeline metrics. Work in close partnership with Sales Recruiters — you own the top of funnel; they own qualification, process, and close.

What We're Looking For

We welcome candidates from talent acquisition, executive search, or enterprise sales backgrounds. What matters most is the combination of instincts: a marketer's approach to messaging and segmentation, a salesperson's instinct for trust and relationship-building, and a data-literate mindset that keeps the pipeline clean and actionable.

You'll need 3+ years in talent acquisition, recruitment, or a sales role with a strong talent-spotting track record; hands-on CRM/ATS experience; and a genuine curiosity about AI and automation tools. Equally important is the mindset — you're comfortable playing the long game, you treat candidates with integrity, and you measure success not just by hires made, but by the quality and depth of the pipeline you've built.

Compensation & Rewards:

In the United States, the compensation range for this role is $140,000 - $160,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. 

#LI-Remote

The Opportunity:

We're looking for a Tax Manager to take on meaningful ownership across provision, compliance, planning, and R&D credits at a fast-growing global company. This is an individual contributor role with end-to-end ownership and no direct people management responsibilities. In this role, you'll work closely with Accounting, FP&A, Legal, and cross-functional leaders, bringing structure and expertise to Grafana's tax function as we continue to scale.

This role is ideal for someone who is resourceful and adaptable, thrives in a fast-growing remote-first environment, and is excited to leverage tools (including AI) to work efficiently across a broad range of tax areas.

What You’ll Be Doing:

• Manage all US federal and state income tax compliance and planning, including corporate returns and estimated tax payments
• Execute the quarterly and annual tax provision process under ASC 740, including deferred tax analysis, valuation allowances, and tax disclosures
• Lead global indirect tax compliance, including sales and use tax, VAT/GST, and gross receipts
• Support and execute R&D tax credit identification, documentation, and maximization across federal and state programs
• Manage tax audits and notices, including preparation of responses and supporting documentation
• Support month-end and quarter-end close through tax accruals, account reconciliations, and tax provision entries
• Maintain the global tax compliance calendar and manage relationships with external advisors
• Design and improve tax processes and workflows, leveraging automation and AI tools to move toward data-driven, scalable approaches
• Use AI tools to accelerate tax research, documentation, and analysis across compliance and planning workstreams
• Serve as the internal tax resource for cross-functional teams by translating complex tax matters into clear guidance for Finance, Legal, and business stakeholders

What Makes You a Great Fit:

• 6+ years of U.S., international tax experience, including Big 4 and/or in-house experience at a multinational company
• Master’s in taxation, CPA, JD, LLM or similar certifications strongly preferred
• Strong command of US GAAP income tax accounting (ASC 740) and international tax concepts
• Hands-on experience with sales tax / VAT compliance and tools such as Avalara
• Familiarity with transfer pricing principles and documentation requirements
• Experience at a high-growth SaaS or cloud company preferred
• Comfortable working autonomously in a remote-first, async environment
• Clear communicator who can translate complex tax concepts for non-tax stakeholders

Bonus Points For:

• Experience at a high-growth SaaS, cloud, or open-source company
• Public company or IPO readiness experience
• Experience working in globally distributed organizations

Compensation and Rewards:

In the United States, the base compensation range for this role is $143,000 - $172,000. 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.

#LI-Remote

The Opportunity

As part of the Regional Marketing team at Grafana Labs, you will help drive the strategy and execution of integrated marketing programs across the Americas East and Canada regions. This role contributes to pipeline generation, acceleration, and customer expansion through a mix of field marketing, account-based marketing (ABM), and regional campaigns.

You will act as a key partner to our go-to-market organization, developing a deep understanding of your region to design and execute high-impact marketing programs aligned to business priorities. This role is highly cross-functional and data-driven, and requires strong ownership, strategic thinking, and hands-on execution.

What you'll be doing:

• Partner with regional Sales leaders to define marketing priorities, target accounts, and programs aligned to pipeline and revenue goals.
• Drive regional events strategy and lead end-to-end execution of virtual and in-person programs, including logistics, vendors, and attendee experience.
• Collaborate with Sales and SDR teams to ensure strong lead follow-up, conversion, and pipeline progression.
• Build and execute ABM strategies targeting key accounts, aligned with global campaigns, and tailored to regional needs.
• Leverage AI and automation to improve targeting, personalization, campaign execution, and performance analysis
• Partner cross-functionally with all marketing teams, GTM functions, and key stakeholders, including Finance.
• Manage budgets, timelines, and vendors, and proactively identify risks and resolve issues.

What makes you a great fit:

• Located in the Eastern time zone
• 5+ years in field/regional marketing, demand generation, or related role
• Demonstrated ability to leverage AI tools to improve targeting, personalization, campaign execution, and performance analysis
• Proven experience driving pipeline through integrated marketing programs
• Strong collaboration with Sales teams and understanding of pipeline mechanics
• Experience with both hosted and third-party events
• Experience with Salesforce (reporting, campaign tracking) and marketing tools (e.g., SplashThat, Zuddl, etc.)
• Ability to manage multiple priorities in a fast-paced environment
• Willingness to travel (~40%)

Bonus Points For:

• An ownership mindset with accountability for regional outcomes and pipeline impact
• Strategic thinking paired with strong execution skills
• A data-driven approach to measuring success and optimizing performance
• Proven ability to leverage AI tools to enhance targeting, personalization, campaign execution, and performance analysis
• Experience using AI to improve operational efficiency, scale programs, and drive smarter decision-making
• High attention to detail and commitment to delivering quality experiences
• Ability to build strong relationships with Sales and cross-functional partners
• Flexibility and resilience in a dynamic, evolving environment
• A proactive, solutions-oriented attitude with a focus on continuous improvement

In the United States, the OTE compensation range for this role is $123,000 - 147,000.  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 on our careers page.

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In the United States, the annual compensation range for this role is 143,000 - 172,000 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 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.

The Opportunity:

At Grafana Labs, we’re redefining what post-sales technical partnership looks like—and it starts with the Observability Architect. This is a role for deeply technical experts who are ready to step into strategic leadership with our most important customers. If you thrive at the intersection of systems thinking, architecture design, and customer impact—this is your stage.

As an Observability Architect, you will be the technical owner of long-term customer success. You’ll architect and guide the implementation of complex observability solutions across a wide range of modern infrastructure and application environments. You’ll build strategic relationships with engineers, SREs, and architects—ensuring Grafana’s technology is not just deployed, but deeply embedded into mission-critical systems.

Working hand-in-hand with our Engagement Managers, you’ll lead technical discovery, design, onboarding, and enablement—all with a focus on delivering tangible outcomes. You’ll spot patterns, solve hard problems, and guide customers through their observability maturity curve with authority and clarity.

You’ll also represent the technical voice of our customers internally—shaping product feedback and roadmap priorities by working closely with Engineering and Product Management.

This is a hands-on, high-impact role for those who want to go deep, stay technical, and directly influence customer success at scale. Join us and become part of the most respected observability team in the industry.

What You'll Be Doing:

• Serve as the primary technical point of contact for a portfolio of Grafana customers.
• Design the observability maturity journey of customers and assist them on that path. 
• Provide expert-level troubleshooting and guidance to drive adoption.
• Conduct regular technical reviews and health checks to ensure client success. Assist in RCA to understand issues that affect customer satisfaction, retention, and overall product experience.
• Advise clients on best practices and strategies for leveraging our technology to achieve their business goals
• Collaborate with clients to develop and execute technical roadmaps.
• Identify opportunities for clients to optimize their cost, expand their use of our solutions and drive adoption of new products and features.
• Develop and maintain strong, long-term relationships with key stakeholders.
• With the support of our Engagement Managers and Onboarding Solutions Architects, own customer lifecycle.
• Drive the adoption and effective use of our product suite within your customer portfolio to maximize their value from our platform and ensure a strong return on investment.
• Act as the voice of the customer within the company, advocating for their needs, priorities and feature requests.
• Conduct training sessions and workshops to educate clients on our technology.
• Develop and deliver technical documentation, guides, and tutorials.
• Work alongside account teams to participate in and/or conduct regular reviews with customers to identify areas for improvement, calculate ROI, assess their satisfaction, and discuss upcoming needs and projects.
• Prepare and present reports on client metrics, achievements, and areas of focus.

What Makes You a Great Fit:

• Located on the West Coast
• Bachelor’s degree in Computer Science, Information Technology, Math or a related field (or equivalent experience).
• Experience deploying and operating Kubernetes.
• 5+ years of experience in a technical support, technical account management, consulting, SE or Professional Services role within the technology industry. 
• Strong understanding of observability solutions. Grafana, Prometheus, and Loki a plus.
• Proven ability to manage multiple clients and projects simultaneously.
• Excellent problem-solving and analytical skills.
• Outstanding communication and interpersonal skills.
• Experience with relevant tools and technologies, e.g., CRM software, ticketing systems, specific programming languages.
• Ability to travel as needed to meet with clients (up to 25%).
• Identify and provide timely workarounds and solutions to meet a customer’s business needs.
• You have some observability expertise, preferably architect level
• First class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers.  Ability to articulate our value proposition and the technical advantages of our products
• You will love solving technical challenges and thrive on bringing creative solutions to our customers

Bonus Points For:

• 5+ years of technical sales, TAM or other post sales technical experience, ideally with open source technologies, or in the observability space.
• Great at connecting product usage to value (ROI).
• Great at managing customer lifecycle.
• You will be creative in solving customer adoption challenges.
• You can proactively assist customers with technical issues that may arise and assist in the troubleshooting and root cause analysis. 
• You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!  

In the US, the OTE compensation range for this role is $204,000 - $244,000.  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 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.

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Spain, the compensation range for this role is EUR 73,000 - EUR 88,000. 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. 

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Germany, the compensation range for this role is EUR 85,000 - EUR 102,000. 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. 

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Sweden, the compensation range for this role is SEK 687,000 - SEK 824,000. 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. 

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In Ireland, the compensation range for this role is EUR 92,000 - EUR 110,000. 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. 

The Opportunity:

We are looking for a People Analytics Analyst to join our recently formed People Analytics team and serve as a strategic, data-driven partner to leaders across the business. This role blends strong analytical and technical skills with a consultative, business-facing mindset — someone who loves working with data and using it to influence decisions.

This role will partner closely with HR Business Partners, the People Leadership Team (PLT), senior business leaders, and teams across the broader People organization (e.g., Talent Acquisition, L&D, Total Rewards, Workday), translating complex people data into clear insights, narratives, and recommendations. A significant focus of this role will be supporting Sales and Go-To-Market (GTM) organizations, using workforce data to help leaders understand performance, retention, hiring, and organizational effectiveness within revenue-generating teams. You will report to the Director of People Analytics.

The People Analytics function is entering its next phase of growth — expanding beyond foundational reporting into deeper insights, standardization, and proactive workforce analytics. This role will play a critical part in shaping how people data is used to understand organizational health, guide strategy, and support leaders in solving real business problems.

If you’re excited about being both a hands-on data practitioner and a trusted advisor to the business, particularly in fast-paced, performance-driven environments like Sales, we’d love to hear from you.

What You’ll Be Doing:

• Serve as a go-to, business-facing People Analytics expert for People Team Business Partners, the People Leadership Team, and senior business leaders — tracking against organizational health metrics and people plan objectives, always close to the business and its biggest workforce challenges, with a strong focus on supporting Sales and Go-To-Market (GTM) organizations. 
• Conduct and deliver ongoing workforce analysis, QBRs, and ad hoc analytics that inform and drive better business decisions.
• Lead data storytelling: translate complex people data into clear, compelling narratives and recommendations tailored to executive and leadership audiences
• Proactively partner with BPs and leaders on strategic areas of focus (e.g., attrition, hiring, performance, mobility, retention, org design), using data to identify trends, risks, and opportunities.
• Bring curiosity and tenacity to connecting data across disparate people systems — uncovering trends, risks, and opportunities across attrition, hiring, performance, mobility, org health, and more
• Develop rapid 'v0.5' analytical solutions from the front lines, then partner with the broader People Analytics team to scale and productionize them
• Leverage AI tools and automation throughout your workflow — from analysis and reporting to insight generation — while applying your expertise to guide, correct, and elevate AI output
• Use data skills, curiosity and People Analytics expertise to develop scalable SQL modeling, business-facing dashboards, automated reporting and AI solutions. 
• Drive forward the strategic roadmap of the People Analytics function, including expanding reporting and analytics capabilities, establishing and evolving KPIs,  and leading key projects in critical business areas.

What Makes You a Great Fit:

• Experience in a people analytics, HR analytics, or workforce analytics role with meaningful exposure to business-facing stakeholders
• An endlessly curious analytical mindset — you love connecting data together and seeing what it reveals
• SQL proficiency: writing complex, efficient queries is a regular part of your workflow (BigQuery, Snowflake, or similar)
• Strong AI skills and genuine interest in using AI tools to improve how you work — you proactively seek AI-driven solutions and apply your domain expertise to guide and validate them
• Advanced experience with Excel and/or Google Sheets for analysis, modeling, and quick-turn insights
• Experience with data visualization and BI tools (PowerBI, Tableau, Looker; Grafana BI a plus) with an interest in enabling self-service analytics
• Experience working with people data from HR systems such as Workday, Greenhouse, LMS platforms, or similar
• Strong presentation and storytelling skills — you can translate complex data into clear, compelling insights for non-technical audiences
• Excellent communication and stakeholder management skills; you build trust and credibility with HR partners and business leaders
• Resilience and adaptability — you thrive under pressure, handle competing priorities without losing quality, and treat ambiguity as a challenge rather than an obstacle
• Comfort operating in a growing, evolving analytics function where building, iterating, and scaling are part of the job

Bonus Points For:

• Experience with dbt or analytics engineering concepts
• Experience helping define analytics strategy, metrics, or reporting standards
• A passion for building — better datasets, cleaner reporting, or more impactful insights

Compensation & Rewards:

In the United Kingdom, the OTE (On-Target Earnings) compensation range for this role is GBP 81,000 - GBP 97,000. 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. 

The Opportunity

As part of the Regional Marketing team at Grafana Labs, you will support the strategy and execution of integrated marketing programs across North America Commercial teams. This role contributes to pipeline generation, acceleration, and customer expansion through a mix of field marketing, account-based marketing (ABM), and regional campaigns.

You will act as a key partner to our go-to-market organization, developing a deep understanding of your region to prescribe high-impact programs that align with business priorities. This is a highly cross-functional, data-driven role that requires strong ownership, strategic thinking, and hands-on execution.

What you'll be doing:

• Partner with regional Sales leaders to define marketing priorities, target accounts, and programs aligned to pipeline and revenue goals.
• Leverage AI and automation to improve targeting, personalization, campaign execution, and performance analysis across all programs.
• Drive regional events strategy and lead end-to-end execution of virtual and in-person programs, including logistics, vendors, and attendee experience.
• Collaborate with Sales and SDR teams to ensure strong lead follow-up, conversion, and pipeline progression.
• Build and execute ABM strategies targeting key accounts, aligned with global campaigns and tailored to regional needs.
• Track and report on program performance, using data and AI-driven insights to optimize pipeline impact and ROI.
• Partner cross-functionally across all marketing teams, GTM functions, and key stakeholders such as Finance.
• Manage budgets, timelines, and vendors while proactively identifying risks and solving issues.

What makes you a great fit:

• Located in Central or Eastern time zone
• 3+ years in field/regional marketing, demand generation, or related role
• Demonstrated ability to apply AI tools to improve marketing performance, targeting, campaign execution, and decision-making (e.g., Claude, ChatGPT, etc.)
• Proven experience driving pipeline through integrated marketing programs
• Strong collaboration with Sales teams and understanding of pipeline mechanics
• Experience with both hosted and third-party events
• Experience with Salesforce (reporting, campaign tracking) and marketing tools (e.g., SplashThat, Zuddl, etc.)
• Ability to manage multiple priorities in a fast-paced environment
• Willingness to travel (~40%)

Bonus Points For:

• An ownership mindset with accountability for regional outcomes and pipeline impact
• Strategic thinking paired with strong execution skills
• A data-driven approach to measuring success and optimizing performance
• Proven ability to leverage AI tools to enhance targeting, personalization, campaign execution, and performance analysis
• Experience using AI to improve operational efficiency, scale programs, and drive smarter decision-making
• High attention to detail and commitment to delivering quality experiences
• Ability to build strong relationships with Sales and cross-functional partners
• Flexibility and resilience in a dynamic, evolving environment
• A proactive, solutions-oriented attitude with a focus on continuous improvement

In the United States, the base compensation range for this role is $75,000 - $92,000.  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 on our careers page.

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: