Grafana Labs

Staff AI Engineer to own the AI agent infrastructure and automation platform for GTM teams. Build multi-agent architectures, LLM integrations, and backend services connecting AI models to internal/third-party data platforms. Ship production systems, define technical direction, and partner with teams to build scalable, self-service automation.

Staff AI Engineer to own the AI agent infrastructure and automation platform powering GTM teams. Build multi-agent architectures, LLM integrations, and backend services connecting AI models to internal and third-party data platforms. Ship production systems, define technical direction, and partner with various teams to build scalable, self-service automation. Responsibilities include end-to-end development of multi-agent AI systems, building modular agentic systems, developing reusable agentic skills, implementing observability and feedback loops, establishing governance, building MCP servers and APIs, architecting RAG data flows, and building serverless/containerized services. Also involves partnering with RevOps and Finance, designing workflows, and building self-service systems. Requires 8+ years of software engineering experience, 2+ years applying LLMs/AI to production, proficiency in Python/JavaScript, experience with LLM frameworks (prompt engineering, RAG, function calling), building multi-agent systems, GCP, BigQuery, and understanding LLM failure modes.

Staff AI Engineer to own the AI agent infrastructure and automation platform for GTM teams, building multi-agent architectures, LLM integrations, and backend services. The role involves shipping production systems, defining technical direction, and partnering with various teams to create scalable, self-service automation. Responsibilities include end-to-end development of multi-agent systems, building agentic skills, implementing observability, establishing governance, integrating AI models with business systems, architecting RAG flows, and designing/deploying workflows with CI/CD standards. Requires 8+ years of software engineering experience, 2+ years applying LLMs to production, proficiency in Python/JavaScript, experience with LLM frameworks (prompt engineering, RAG, tool use, evaluation), and building/operating multi-agent systems at scale. Familiarity with GCP, BigQuery, serverless/containerized services, and LLM failure modes is essential. The role emphasizes diagnosing business problems, thinking in workflows, identifying high-leverage opportunities, and using AI-assisted development tools.

Staff AI Engineer to own the AI agent infrastructure and automation platform for Marketing Operations. This role involves building multi-agent architectures, LLM integrations, and backend services, connecting AI models to internal and third-party data platforms, and shipping production systems. The engineer will define the technical direction for the automation platform, partner with other teams, and build scalable, self-service automation.

Staff AI Engineer responsible for owning the AI agent infrastructure and automation platform for Marketing Operations. This role involves building multi-agent architectures, LLM integrations, and backend services connecting AI models to internal and third-party data platforms, shipping production systems. The engineer will define technical direction, partner with other teams, and build scalable, self-service automation.

Senior Developer Advocacy Engineer to build an open source, in-product learning experience within Grafana, focusing on AI-assisted development and enabling non-engineers to contribute content. The role involves shipping product code for both Grafana Cloud and OSS, with a significant portion dedicated to the Interactive Learning Plugin and its content.

Senior Developer Advocacy Engineer role focused on building an open-source, in-product interactive learning plugin within Grafana. The role involves shipping real product code, enabling non-engineers to contribute content, and utilizing AI-assisted development workflows. Requires strong software engineering fundamentals, AI harness experience (agentic development), or Grafana context.

Staff AI Engineer focused on building AI-powered systems and intelligent workflows for the People Technology team. The role involves architecting and implementing AI solutions using BigQuery and integrating various HR platforms to unlock insights from People data, improve operational efficiency, and ensure responsible AI practices. Key responsibilities include designing AI workflows, agents, and analytics tools, establishing prompt engineering standards, and setting technical direction for AI architecture within the People technology domain.

Staff AI Engineer focused on building AI-powered systems and intelligent workflows for the People Technology team, leveraging sensitive employee data to improve hiring, development, and support processes. The role involves architecting solutions, establishing data pipelines, automation, and AI-driven workflows, with a strong emphasis on data governance, privacy, and responsible AI practices. The engineer will also set technical direction and mentor others.

Senior AI Engineer focused on building and shipping AI-powered features for observability tools, including LLM- or agent-powered workflows for incident management and automated analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and delivering production-ready AI solutions.

Senior AI Engineer focused on building and scaling AI-powered features for observability tools, including LLM and agent-based workflows for incident response and analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and delivering production-ready AI solutions.

Staff AI Engineer role focused on building and delivering AI solutions for observability data, including LLM- or agent-powered workflows for incident management and automated analysis. The role emphasizes rapid experimentation, cross-functional collaboration, and shipping scalable, maintainable AI features into production.

Staff AI Engineer focused on building and shipping AI-powered features for observability tools, specifically reducing toil and assisting users with incident response through LLM and agentic workflows. The role emphasizes rapid experimentation, iteration, and collaboration to deliver scalable, production-ready AI solutions.

Staff Backend Engineer for Grafana App Platform, focusing on refactoring the core architecture for multi-tenancy and scalability in a SaaS environment. The role involves coding new features, enhancing operational experience, contributing to design documents, and mentoring team members. While not building AI models, the role heavily utilizes AI coding assistants and has access to frontier models for development tasks.

Engineering Manager for Grafana's Observability department, focusing on the Grafana Alloy project (an OpenTelemetry collector distribution). The role involves managing a remote team, fostering collaboration with the OpenTelemetry community, and ensuring seamless integration with Grafana Cloud products. Emphasis is placed on AI-assisted tooling for developer productivity.

Engineering Manager for Grafana's Observability department, focusing on Grafana Alloy (an OpenTelemetry collector distribution). The role involves managing a remote team, fostering collaboration with the OpenTelemetry community, and ensuring seamless integration into Grafana Cloud products. Emphasis on developer productivity through AI-assisted tooling and pragmatic AI-assisted development.

Engineering Manager for Grafana's Observability department, focusing on Grafana Alloy (an OpenTelemetry collector distribution). The role involves managing a remote team, fostering collaboration with the OpenTelemetry community, and ensuring seamless integration with Grafana Cloud products. While the role itself is not directly building AI models, it emphasizes the use of AI-assisted tooling for development.

This role is for an Engineering Manager in the Observability department at Grafana Labs, focusing on the Grafana Alloy project, which is a distribution of the OpenTelemetry collector. The manager will lead a remote team, foster collaboration with the OpenTelemetry community, and work closely with product and engineering leadership. The role emphasizes managing complexity, aligning stakeholders, and delivering high-quality results in a distributed systems environment. While the company uses AI tools for development, the core function of the role and the team is not AI model development but rather observability tooling.

Engineering Manager for the Observability Department at Grafana Labs, focusing on Grafana Alloy, an open-source distribution of the OpenTelemetry collector. The role involves managing a remote team, fostering collaboration with the OpenTelemetry community, and ensuring seamless integration with Grafana Cloud products. The position emphasizes strong people management, technical leadership in distributed systems and observability, and comfort with AI-assisted tooling for development.

Engineering Manager for Grafana's Observability department, focusing on Grafana Alloy (an OpenTelemetry collector distribution). The role involves managing and developing a remote engineering team, fostering collaboration with the OpenTelemetry community, and ensuring Alloy integrates seamlessly with Grafana Cloud products. The manager will guide the team through the project lifecycle, promote a safe and innovative environment, and work across teams to solve customer problems. The role emphasizes strong people management, technical trend awareness, cross-time zone collaboration, and customer focus, with a requirement for comfort and curiosity in using AI-assisted tooling for development.

This role is for a People Analytics Analyst at Grafana Labs, focusing on using data to drive business decisions, particularly within Sales and Go-To-Market teams. The role involves conducting workforce analysis, data storytelling, and partnering with HR and business leaders. A key aspect is leveraging AI tools and automation in the workflow, developing analytical solutions, and contributing to the strategic roadmap of the People Analytics function. The ideal candidate has experience in people analytics, strong SQL and AI skills, and proficiency in data visualization tools.

This role is for a People Analytics Analyst at Grafana Labs, focusing on partnering with HR and business leaders to use workforce data for insights and decision-making. The role involves conducting analysis, leading data storytelling, and developing analytical solutions, with a significant focus on supporting Sales and Go-To-Market teams. The People Analytics function is expanding its capabilities, and this role will contribute to its strategic roadmap, including the use of AI tools and automation in the workflow.

This role is for a People Analytics Analyst who will partner with HR and business leaders to provide data-driven insights, focusing on sales and go-to-market teams. The role involves conducting workforce analysis, leading data storytelling, and developing analytical solutions, with a significant emphasis on leveraging and guiding AI tools in the workflow. The People Analytics function is expanding from foundational reporting to deeper insights and proactive analytics.

This role is for a People Analytics Analyst at Grafana Labs, focusing on leveraging data to support business decisions, particularly within Sales and Go-To-Market (GTM) organizations. The role involves conducting workforce analysis, leading data storytelling, and partnering with HR and business leaders. A key aspect is the use of AI tools to enhance analysis, reporting, and insight generation, with a focus on developing and scaling analytical solutions.

This role is for a People Analytics Analyst at Grafana Labs, focusing on using data to drive business decisions, particularly within Sales and Go-To-Market teams. The role involves conducting workforce analysis, developing insights, and partnering with HR and business leaders. A key aspect is leveraging AI tools and automation in the workflow, developing scalable SQL models, dashboards, and AI solutions. The function is scaling beyond foundational reporting into deeper insights and proactive analytics.

This role is for a People Analytics Analyst who will partner with HR and business leaders to translate complex people data into insights and recommendations, with a focus on Sales and Go-To-Market organizations. The role involves conducting workforce analysis, leading data storytelling, and developing analytical solutions, including leveraging AI tools for analysis, reporting, and insight generation. The function is expanding from foundational reporting to deeper insights and proactive analytics.

Senior Backend Engineer role at Grafana Labs, focusing on the Mimir OSS project and Grafana Cloud Metrics. The role involves designing, building, operating, and maintaining large-scale distributed systems for metrics, logs, and traces. While the core role is backend engineering for observability platforms, the company explicitly mentions the use of modern AI coding assistants and access to frontier models as part of the daily workflow, indicating an AI-adjacent usage.

This role supports the strategy and execution of integrated marketing programs across North America Commercial teams, contributing to pipeline generation, acceleration, and customer expansion. The role involves partnering with sales leaders, driving regional events, building ABM strategies, and tracking program performance. A key aspect is leveraging AI and automation tools to enhance marketing effectiveness, targeting, personalization, and analysis.

Director of Engineering for Loki Databases at Grafana Labs, focusing on leading a team of 20+ engineers to develop and scale the Loki logs database service. The role involves people management, product vision, and technical guidance for a distributed systems product, with an emphasis on using AI-assisted tooling.

Director of Engineering for Loki Databases at Grafana Labs, focusing on leading a team of 20+ engineers to develop and scale a cloud-native, distributed logs database. The role involves collaborating with product and engineering leadership, driving product vision, and fostering innovation. Experience with AI-assisted tooling is preferred, with an expectation of curiosity and comfort using AI-powered tools.

Sales Development Representative role focused on driving new business opportunities by engaging with users and prospects, partnering with the Sales Team, and leveraging AI tools for productivity. The role requires building knowledge of technology, competitors, and industry trends, following up on inbound leads, and proactively reaching out to target accounts using a multi-channel approach. Responsibilities include using Salesforce and Grafana dashboards for lead management, conducting discovery conversations, and meeting pipeline targets. Fluency in German and English is required, along with strong organizational and communication skills.

This role establishes and leads the internal audit function for Grafana Labs, focusing on governance, risk management, and controls. It involves designing a risk-based audit program, leveraging data analytics and AI tools for efficiency, and assessing AI-related risks. The role partners with various teams, evaluates internal controls (including SOX-readiness), presents findings, and monitors emerging risks. The Director will also build and mentor the internal audit team.

Senior Developer Advocacy Engineer to build an open-source, in-product learning experience within Grafana, focusing on AI-assisted development and enabling non-engineers to contribute content. The role involves shipping product code for both Grafana Cloud and OSS, with a significant portion dedicated to the Interactive Learning Plugin and its content.

Senior Developer Advocacy Engineer role focused on building an open-source, in-product learning experience within Grafana. The role involves shipping product code, enabling content contribution (especially for non-engineers), and utilizing AI-assisted development workflows. It requires strong software engineering fundamentals, AI harness experience (agentic development), and Grafana context, with a focus on enabling users to learn within their workflow.

Senior Developer Advocacy Engineer to build an open-source, in-product learning experience within Grafana, focusing on AI-assisted development and enabling non-engineers to contribute content. The role involves shipping product code for both Grafana Cloud and OSS, with a significant portion dedicated to software engineering and a smaller part to communication.

Senior Engineering Manager for Corporate Engineering at Grafana Labs, focusing on internal AI strategy, agentic workloads, and automation platforms. The role involves leading a team to manage and secure corporate systems, enable internal AI usage, and build platforms for automation and internal applications, emphasizing DevOps and an "everything-as-code" approach.

This role leads the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. The team provides core systems and platforms to enable employees to build automations, ship internal applications, and deploy background agentic workloads. Responsibilities include managing corporate security, defining the internal AI rollout strategy, and building internal platforms for automation and employee enablement, with a strong emphasis on DevOps and an "everything-as-code" approach.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on IT operations, internal tooling, and driving the company's internal AI strategy. The role involves managing a team that provides core systems and platforms to enable employees to build automations, ship internal applications, and deploy agentic workloads, while also handling corporate security and SaaS vendor management. The emphasis is on enabling self-service, DevOps principles, and leveraging AI for internal processes.

Senior Engineering Manager for Corporate Engineering to lead a team responsible for internal AI strategy, agentic workloads, and automation platforms at a remote-first, open-source company. The role involves managing IT operations, security, and enabling employees with technology, with a focus on DevOps principles and an AI-native approach.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. This role involves managing a team that provides core systems and platforms for automation, internal applications, and agentic workloads, enabling employees to own their workflows. The position emphasizes DevOps principles, enabling experimentation, and defining IT systems in the AI age.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. The role involves managing a team that provides core systems and platforms for internal automations, internal applications, and background agentic workloads, while also handling traditional IT operations and security. The goal is to enable all employees to own their workflows and define IT systems in the AI age.

Senior Engineering Manager to lead the Corporate Engineering team, focusing on optimizing IT operations and driving the internal AI strategy. This role involves building platforms for automation, agentic workloads, and internal AI usage, while managing traditional IT systems and security. The goal is to enable employees to own their workflows and leverage AI in an AI-native, everything-as-code company.

This role is for an AI-native Demand Generation Specialist to own lifecycle and nurture programs, focusing on AI-driven evolution, multi-channel execution with AI integration, and data analysis. The role requires experience in B2B SaaS demand generation, active AI tool usage for workflow automation, strong data literacy, and fluency with technical audiences.

This role is for an AI-native Demand Generation Specialist at Grafana Labs, focusing on owning and expanding AI-powered lifecycle and nurture programs. The specialist will lead strategy and execution across multi-channel campaigns, integrating AI workflows for engagement, conversion, and pipeline attribution. Responsibilities include complex data analysis with AI assistance, cross-functional partnership, and connecting program impact to business outcomes in a PLG and commercial motion.

This role is for a People Enablement Partner in the UK, supporting GTM (Go-To-Market) teams at Grafana Labs. The primary focus is on designing and delivering people enablement strategies, including learning, performance, and development. The role involves partnering with GTM management, identifying needs and gaps, supporting people managers, and contributing to talent and attrition initiatives. A key aspect is the use of AI tools and LLMs to build enablement workflows, such as generating coaching briefs, diagnostics, and using sentiment analysis for impact measurement. While the role utilizes AI tools extensively, it does not involve building or shipping AI models.

Staff Software Engineer role focused on building an open-source, in-product learning experience within Grafana. The role involves shipping product code, enabling non-engineer contributions, and leveraging AI-assisted development workflows. Requires strong software engineering fundamentals and experience with AI harness (agentic development).

Staff Software Engineer to build an open-source, in-product interactive learning plugin within Grafana, focusing on AI-assisted development and enabling non-engineers to contribute content. The role involves shipping product code, supporting private guides, and treating observability as a product principle, with participation in on-call rotations.

Senior Engineering Manager for Platform Metal at Grafana Labs, responsible for building and provisioning infrastructure (storage, networking, Kubernetes clusters) on physical hardware outside of public cloud. The role involves managing a team, collaborating with leadership, and ensuring the delivery of high-quality platform services to application engineers. While the role itself is not directly building AI models, it heavily utilizes AI-assisted tooling for developer productivity and expects comfort with AI-powered tools in team workflows.

Staff Backend Engineer role at Grafana Labs, focusing on Adaptive Telemetry for their observability platform. The role involves driving technical strategy, leading project delivery, owning system architecture, reliability, performance, and cost. It also includes defining SLOs, incident response, improving observability and automation, mentoring engineers, and representing engineering internally and externally. The role mentions using AI coding assistants and frontier models for development.

Staff Backend Engineer role at Grafana Labs, focusing on Adaptive Telemetry. The role involves driving technical strategy, leading end-to-end delivery of projects, owning architecture, reliability, performance, and cost for critical systems, defining SLOs/SLIs, leading incident response, improving observability and automation, aligning stakeholders, and mentoring engineers. The company uses AI coding assistants and provides access to frontier models for developer productivity.