Currently tracking 9 active AI roles, down 65% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Grafana Labs currently has 18 active job listings related to AI. All of these roles are focused on agents, representing 100% of their AI hiring. The majority of these positions are in Engineering, with a smaller number in Product. The company is hiring for these roles in the United States and the United Kingdom. Their technical focus includes agent orchestration, LLM observability, RAG, tool use, and guardrails. Over the last 30 days, Grafana Labs has posted 2 new AI roles, a decrease of 86% compared to the previous 30-day period.
Grafana Labs currently has 17 active AI-related roles in our index. The most common open titles are: Staff AI Engineer | Canada | Remote (2), Staff AI Engineer | US | Remote (2), Demand Generation Specialist | Canada | Remote, Demand Generation Specialist | United States | Remote, Director, Product Management - Data Collection, Transformation, and Ingest | Germany | Remote. Most positions are in Engineering and Product.
Grafana Labs's active AI hiring is concentrated in: agents (88%), application (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Grafana Labs is hiring AI talent in: United States (17 roles).
Job postings at Grafana Labs most frequently reference: agent orchestration, llm observability, rag, tool use, model serving.
In the past 30 days, Grafana Labs has posted 5 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Staff AI Engineer | US | Remote 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. | Agent | 9 |
| Staff AI Engineer United States |Remote 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. |
| Agent |
| 9 |
| Senior AI Engineer | Canada | Remote Senior AI Engineer role focused on building and owning the AI agent infrastructure and automation platform for Marketing Operations. This involves developing multi-agent architectures, LLM integrations, and backend services, shipping production systems, and defining the technical direction for the automation platform. The role requires integrating AI models with internal and third-party data platforms and partnering with various teams to build scalable, self-service automation. | Agent | 8 |
| Senior AI Engineer | US | Remote Senior AI Engineer to own the AI agent infrastructure and automation platform for Marketing Operations. Build multi-agent architectures, LLM integrations, and backend services connecting AI models to internal and third-party data platforms. Ship production systems and define technical direction for the automation platform. | Agent | 8 |
| Staff AI Engineer | Canada | Remote 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. | Agent | 8 |
| Staff AI Engineer | US | Remote 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. | Agent | 8 |
| Staff AI Engineer | Canada | Remote 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. | Agent | 8 |
| Senior Developer Advocacy Engineer | UK | Remote 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. | AgentServe | 7 |
| Senior Developer Advocacy Engineer | Spain | Remote 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. | Agent | 7 |
| Staff AI Engineer | US | Remote 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. | Agent | 7 |
| Staff AI Engineer | Canada | Remote 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. | Agent | 7 |
| Senior AI Engineer - Grafana Ops, AI/ML | Canada | Remote 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. | Agent | 7 |
| Senior AI Engineer - Grafana Ops, AI/ML | USA | Remote 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. | Agent | 7 |
| Staff AI Engineer - Grafana Ops, AI/ML | Canada | Remote 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. | Agent | 7 |
| Staff AI Engineer - Grafana Ops, AI/ML | USA | Remote 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. | Agent | 7 |
| Senior Backend Engineer - Grafana Backend Services | UK | Remote Senior Backend Engineer role at Grafana Labs, focusing on backend services for their open observability platform. The role involves delivering new functionality, contributing to design documents, and participating in on-call rotations. The company encourages the use of AI coding assistants and provides access to frontier models for developer productivity. | — | 5 |
| Senior Backend Engineer - Grafana Backend Services | Sweden | Remote Senior Backend Engineer role at Grafana Labs, focusing on backend services for both On-Prem and Cloud customers. Responsibilities include delivering new functionality, contributing to design documents, participating in on-call rotations, and mentoring junior engineers. The role emphasizes developer productivity with AI coding assistants and access to frontier models, but the core function is backend service development, not direct AI/ML model building. | — | 5 |
| Staff Software Engineer - Platform, SysEng | USA | Remote Staff Software Engineer role focused on building and scaling Grafana Cloud's observability platform, which handles millions of metrics, logs, and traces per second. The role involves working with distributed systems, cloud-native architectures, and operational practices to improve performance, reliability, and efficiency. While the company uses AI tools for development and mentions AI in its product, the core of this role is platform engineering, not direct AI/ML model development. | — | 5 |
| Senior Observability Architect | West Coast | PST | Remote This role is for a Senior Observability Architect at Grafana Labs, a company focused on open observability platforms. The architect will be a technical owner for customer success, designing and guiding the implementation of observability solutions. They will build strategic relationships with customers, provide technical expertise, and act as the voice of the customer internally to shape product feedback. The role involves hands-on technical work, customer interaction, and influencing product roadmap. | — | 5 |
| Staff Software Engineer | Canada |Remote Staff Integrations Engineer role focused on building and owning integrations across the go-to-market stack, developing internal GTM tooling to reduce SaaS spend, and leveraging AI/LLM capabilities for development acceleration and automation. The role involves architecture, data modeling, API standards, incident response, and technical leadership within the GTM Systems team. | Agent | 5 |
| People Enablement Partner | UKI | Remote This role is for a People Enablement Partner at Grafana Labs, a company that uses AI tools and LLMs to enhance its observability platform. The role focuses on supporting Sales and customer-facing organizations by designing and implementing people enablement strategies, including learning, performance, and development. The candidate will partner with GTM management, identify needs and gaps, and support people managers. A key aspect is the use of AI tools and LLMs to build enablement workflows, such as generating coaching briefs and diagnostics, and using sentiment analysis for impact measurement. The role requires experience in high-growth environments, remote work, and strong communication and problem-solving skills. AI fluency and tool-agnosticism are highlighted, with an emphasis on using LLMs to accelerate work. | — | 5 |
| Senior Product Manager, Infrastructure Observability | US | Remote Senior Product Manager for Infrastructure Observability at Grafana Labs, focusing on AI-powered features within their observability platform. The role involves defining product vision and strategy, customer discovery, and collaborating with engineering to enhance AI capabilities for monitoring core services, aiming to improve customer experience and drive adoption of AI features. | — | 5 |
| Senior Product Manager, Infrastructure Observability | UK | Remote This role is for a Senior Product Manager at Grafana Labs, focusing on Infrastructure Observability. The role involves defining product vision and strategy, managing roadmaps, and collaborating with engineering and GTM teams. While the company mentions "actually useful AI" and integrating AI into products like "Grafana Cloud Knowledge Graph and Grafana Assistant", the core of the role is product management for observability tools, not direct AI/ML development. The AI aspect is more about leveraging AI features within the product rather than building the AI itself. | — | 5 |
| Senior Product Manager, Infrastructure Observability | Sweden | Remote Senior Product Manager for Infrastructure Observability at Grafana Labs, focusing on Kubernetes Monitoring and Cloud Provider Observability. The role involves defining product vision and strategy, customer discovery, and GTM activities for AI-enhanced observability products. Requires experience with B2B SaaS, developer-facing tools, and infrastructure concepts. Bonus points for AI tools experience. | — | 5 |
| Senior Product Manager, Infrastructure Observability | Spain | Remote Senior Product Manager for Infrastructure Observability at Grafana Labs, focusing on Kubernetes Monitoring and Cloud Provider Observability. The role involves defining product vision and strategy, customer discovery, GTM activities, and ensuring integration with other Grafana Cloud products like Knowledge Graph and Assistant. Requires experience with B2B SaaS, developer-facing tools, APIs, and distributed systems. Bonus points for observability products and AI tools experience. | — | 5 |
| Senior Product Manager, Infrastructure Observability | Ireland | Remote The Senior Product Manager, Infrastructure Observability will be responsible for defining the vision and strategy for Grafana Cloud's infrastructure observability products, including Kubernetes Monitoring and Cloud Provider Observability. This role involves heavy customer discovery, collaboration with engineering teams, and GTM activities such as competitive analysis and sales enablement. The goal is to ensure seamless monitoring experiences for customers by integrating AI-powered features and ensuring tight integration with the broader Grafana Cloud suite, including Grafana Cloud Knowledge Graph and Grafana Assistant. | — | 5 |
| Senior Product Manager, Infrastructure Observability | Germany | Remote Senior Product Manager responsible for Grafana Cloud's Infrastructure Observability products, including Kubernetes Monitoring and Cloud Provider Observability. The role involves defining product vision and strategy, customer discovery, GTM enablement, and integrating AI capabilities like Grafana Cloud Knowledge Graph and Grafana Assistant to enhance the customer monitoring experience. | — | 5 |
| Senior Product Manager, Infrastructure Observability | Canada | Remote The Senior Product Manager for Infrastructure Observability will define the vision and strategy for Grafana Cloud's infrastructure observability products, including Kubernetes Monitoring and Cloud Provider Observability. This role involves heavy customer discovery, roadmap ownership, and collaboration with engineering and GTM teams to drive product success and integration within the broader Grafana Cloud suite. The role also involves leveraging AI features within the observability platform. | — | 5 |
| Staff Backend Engineer - Grafana Enterprise | Canada | Remote Staff Backend Engineer for Grafana Enterprise, focusing on building scalable, reliable, and secure backend services and distributed systems for large-scale operators. The role involves designing, developing, and owning the operational health of the platform, with an emphasis on security and regulatory requirements. The company utilizes AI coding assistants and frontier models to enhance developer productivity. | — | 5 |
| Staff Backend Engineer - Grafana Enterprise | US | Remote Backend Engineer role focused on building and scaling Grafana's enterprise observability platform. The role involves designing and developing backend services, distributed systems, and enterprise features, with a strong emphasis on reliability, scalability, security, and multi-tenancy. While the company uses AI tools and models for developer productivity, the core function of the role is not AI/ML model development. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | US | Remote Director of Product Management for Data Collection, Transformation, and Ingestion at Grafana Labs. The role involves developing product vision and strategy, managing a team of Product Managers, and ensuring products meet customer needs in an AI-first world. The focus is on how customers generate, collect, transform, and ingest telemetry data into Grafana Cloud, with an emphasis on evolving these processes with AI capabilities. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | UK | Remote Director of Product Management responsible for data collection, transformation, and ingestion within Grafana Cloud. This role involves developing product vision and strategy, managing a team of Product Managers, and understanding how AI can enhance customer value in observability and data management. The focus is on shaping the foundational data path for metrics, logs, traces, and profiles, ensuring it supports full-stack observability and evolves for an AI-first world. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | Sweden | Remote Director of Product Management for Data Collection, Transformation, and Ingestion at Grafana Labs. This role involves developing product vision and strategy for systems that help customers generate, collect, transform, and ingest telemetry data into Grafana Cloud. The role also focuses on how the product domain evolves in an AI-first world, considering how AI can enhance customer experiences related to instrumentation, telemetry optimization, troubleshooting, and interaction with Grafana Cloud. The Director will manage a team of Product Managers and collaborate with engineering, design, and GTM teams. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | Spain | Remote Director of Product Management responsible for the vision and strategy of data collection, transformation, and ingestion systems within Grafana Cloud. This role will focus on how AI can enhance these processes for customers, optimize telemetry, and improve user interaction with AI systems. The position involves managing a team of Product Managers and collaborating with engineering and GTM teams to build and ship products. | Ship | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | Ireland | Remote Director of Product Management for Data Collection, Transformation, and Ingestion at Grafana Labs. This role involves developing product vision and strategy, aligning teams, understanding customers and the market, and communicating product direction. The role will shape the foundational aspects of Grafana Cloud related to how customers send, transform, and ingest telemetry data. A key focus will be on evolving this domain in an AI-first world, exploring how AI can enhance customer value in areas like instrumentation, telemetry optimization, troubleshooting, and user interaction with AI systems. The Director will manage a team of Product Managers and collaborate with engineering, design, and GTM teams. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | Canada | Remote Director of Product Management for Data Collection, Transformation, and Ingestion at Grafana Labs. This role involves developing product vision and strategy, managing a team of Product Managers, and shaping how AI impacts observability products, focusing on customer value and evolving product capabilities in an AI-first world. | — | 5 |
| Director, Product Management - Data Collection, Transformation, and Ingest | Germany | Remote Director of Product Management for Data Collection, Transformation, and Ingestion at Grafana Labs, focusing on shaping the product vision and strategy for how customers generate, collect, transform, and ingest telemetry data into Grafana Cloud. The role involves leading multiple engineering and product teams, managing a team of Product Managers, and defining how the domain evolves in an AI-first world, including leveraging AI to enhance customer experiences and optimize data pipelines. | Ship | 5 |
| Senior Product Manager, Performance Testing | UK | Remote Product Manager for Performance Testing at Grafana Labs, focusing on the k6 open-source project and Grafana Cloud. The role involves defining how customers write, run, and act on performance tests, integrating test results with observability data, and evolving performance testing across modalities. The PM will work closely with R&D to integrate performance testing into the broader Grafana Cloud suite. | — | 5 |
| Senior Product Manager, Performance Testing | Sweden | Remote Product Manager for Performance Testing at Grafana Labs, focusing on the k6 open-source project and Grafana Cloud's commercial offering. The role involves defining how customers write, run, and act on performance tests, integrating test results with observability data (metrics, logs, traces), and evolving testing across different modalities. The goal is to deliver an integrated, opinionated cloud experience that customers will pay for, ensuring Performance Testing is woven into the broader Grafana Cloud suite. | — | 5 |
| Senior Product Manager, Performance Testing | Spain | Remote Product Manager for Performance Testing at Grafana Labs, focusing on the k6 open-source project and Grafana Cloud offering. The role involves defining how customers write, run, and act on performance tests, integrating test results with observability data (metrics, logs, traces), and evolving testing across modalities. The PM will work with R&D to integrate performance testing into the broader Grafana Cloud suite. | — | 5 |
| Senior Product Manager, Performance Testing | Ireland | Remote Product Manager for Performance Testing at Grafana Labs, focusing on the k6 open-source project and Grafana Cloud. The role involves defining how customers write, run, and act on performance tests, integrating test results with observability data (metrics, logs, traces), and evolving performance testing across modalities. The goal is to make Grafana Cloud k6 the default choice for performance testing and ensure seamless integration with other Grafana Cloud products. | — | 5 |
| Senior Product Manager, Performance Testing | Germany | Remote Product Manager for Performance Testing at Grafana Labs, focusing on the k6 open-source project and Grafana Cloud's commercial offering. The role involves defining how customers write, run, and act on performance tests, integrating test results with observability data, and evolving testing across modalities. The goal is to make Grafana Cloud k6 the default choice for performance testing and ensure it's integrated with the broader Grafana Cloud suite. | — | 5 |
| Director, Sales Development Americas | United States | Remote Director of Sales Development for the Americas at Grafana Labs, responsible for leading a large team of SDRs and managers, driving global AI transformation within the SDR function, building talent pipelines, and owning operational metrics. The role requires hands-on experience deploying and standardizing AI tooling in SDR workflows. | — | 5 |
| Sales Development Representative | Netherlands | Remote Sales Development Representative role focused on engaging users, partnering with the sales team to identify new business opportunities, and developing transferable skills. The role involves researching target accounts, crafting messaging, driving business conversations, and using AI as a tool for productivity. It requires building knowledge of technology and industry trends, following up on inbound leads, proactive outreach, using Salesforce and Grafana dashboards, and collaborating with cross-functional teams. | — | 5 |
| Sales Development Representative | UK | Remote Sales Development Representative role focused on engaging users, partnering with the sales team to identify new business opportunities, and developing transferable skills. The role involves balancing reactive and proactive work, researching and crafting outreach messaging, and driving business conversations. It emphasizes using AI as a tool for productivity and requires strong organizational and communication skills. | — | 5 |
| Senior Manager, Web Technology | Canada | Remote Senior Manager, Web Technology to lead the technical execution, platform strategy, and operational excellence of grafana.com and its surrounding digital experiences. This role will focus on transforming the website into an AI-first, agent-ready platform, building AI-enabled systems for various workflows, and improving digital experiences. The role requires strong technical judgment, leadership of web engineering teams, and a focus on measurable impact. | Agent | 5 |
| Senior Manager, Web Technology | US | Remote Senior Manager, Web Technology role focused on leading the technical execution, platform strategy, and operational excellence of grafana.com. The role involves transforming the website into an AI-first, agent-ready platform, building AI-enabled systems for various workflows, and improving digital experiences. It requires strong technical judgment, leadership of a web development team, and a focus on measurable impact. | Agent | 5 |
| Sales Development Representative | Israel | Remote Sales Development Representative role at Grafana Labs, focusing on engaging users, identifying new business opportunities by partnering with the Sales Team, and developing transferable skills. The role involves balancing reactive and proactive work, researching accounts, crafting outreach messaging, and driving business conversations. It requires using AI as a tool to improve productivity and understanding Grafana's technology and ecosystem. | — | 5 |
| Sales Development Representative | Spain | Remote Sales Development Representative role at Grafana Labs, focusing on engaging users, partnering with sales to identify new business opportunities, and developing transferable skills. The role involves understanding user needs, researching target accounts, and using multi-channel outreach. Requires fluency in Spanish and English, strong organizational skills, and a proactive, team-first attitude. The role will leverage AI tools for productivity. | — | 5 |
| Staff Backend Engineer - Grafana App Platform | UK | Remote 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. | — | 5 |