Вакансии

Location: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Sr. Software Development Engineer In Test, ML/AI At SIE, we believe in making play safer for everyone. Within our Information Security team, we protect our people, platforms, and products with smart, scalable, and thoughtful solutions. Our mission is to provide clear, actionable risk and security insights that guide the business and enable amazing player experiences. We’re building a team that thrives on collaboration, curiosity, and delivering real value. Come help us make a difference! Overview We are hiring a Sr Software Engineer in Test specializing in ML/AI quality, including automation for model evaluation, LLM-assisted test generation, and validation of AI-powered workflows. The role includes guiding quality strategy and developing automation frameworks. You will also manage implementation for complex, cross-functional, machine learning-powered products and services. This role involves more than test development. You will lead quality initiatives from start to finish, ensuring teams stay synchronized, dependencies are managed, and releases are delivered confidently. You will work closely with ML, engineering, product, and infrastructure teams. You will shape how quality is built, monitored, and expanded while leading embedded QE efforts within projects. What you’ll do Define and complete quality strategies, test plans, and automation coverage for ML-powered services and platform components. Use LLMs and other AI-assisted techniques to generate, expand, and maintain high-value test cases for ML-powered workflows. Design scenario-based test suites for AI features, including adversarial prompts, edge cases, ambiguous inputs, and underrepresented user scenarios. Lead QE efforts for multi-functional projects, driving risk assessment, dependency management, and release readiness. Design, develop, and maintain scalable automation frameworks for backend services, APIs, and ML inference systems using Python and/or Java. Build automated validation for ML and LLM outputs, including ranking behavior, score distributions, prompt/response quality, hallucination indicators, and probabilistic model evaluation. Debug test failures, service anomalies, model inconsistencies, and AI behavior regressions to identify root causes and drive resolution. Perform functional, integration, regression, API, end-to-end, performance, and reliability testing for distributed systems. Improve automation reliability, reduce flakiness, and optimize execution efficiency. Partner with engineering and ML teams to integrate automated testing into CI/CD pipelines and release workflows. Collaborate across teams to establish scalable quality standards, tooling, and guidelines. Required qualifications Bachelor’s degree in Computer Science or equivalent 5+ years of experience as an SDET or QE engineer focused on backend and distributed systems. Experience using LLMs to generate, transform, and prioritize test cases for AI-powered experiences. Experience with AI evaluation tooling, prompt evaluation frameworks, model monitoring, or human-in-the-loop review workflows. Strong experience testing RESTful APIs, microservices, and distributed architectures. Proficiency in Python, Java, JS or similar languages for automation development. Hands-on experience with automation frameworks such as pytest, JUnit, Selenium, Playwright, Cypress, or Appium. Experience with CI/CD systems and test pipelines (Jenkins, GitHub Actions, etc.). Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker). Familiarity with databases, monitoring, and observability tools. Strong understanding of SDLC, Agile methodologies, and release processes. Excellent problem-solving, debugging, and communication skills. Preferred qualifications Experience validating ML outputs using statistical analysis or scenario-based testing approaches. Familiarity with ML infrastructure, data pipelines, or model-serving platforms (Seldon, KServe, Ray Serve, etc.). Prior work in content moderation ML, security, fraud detection, or adversarial ML. Experience testing high-scale, low-latency online services. Experience with Databricks or similar ML platform tooling. Familiarity with Node.js, React, or modern frontend technologies. Experience testing mobile, console, or other non-PC platforms. What sets you apart Strong combination of automation engineering and delivery ownership. Ability to drive quality across complex cross-functional initiatives. Practical understanding of how to test non-deterministic AI systems and separate model variance from quality regressions. Proven risk management and dependency coordination skills. Ability to influence engineering teams and promote quality guidelines. Passion for scalable, reliable, and maintainable automation systems. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $114,900 — $172,300 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.   WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.   WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.   COMPENSATION $88,000 - $132,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-CG1     Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.   WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.   WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.   COMPENSATION $88,000 - $132,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-CG1     Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get. The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next. You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on. WHAT YOU’LL DO - Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation. - Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on. - Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists. - Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent. - Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material. - Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes. - Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount. - Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly. - Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted. WHAT YOU HAVE - 5+ years of experience in knowledge management, support operations, technical writing, or content operations. - Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale. - Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content. - A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content. - Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process. - Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog. - Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority. COMPENSATION $88,000 - $132,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW We are investing in our owned social channels to grow share of voice and tell a clearer, more connected company story across LinkedIn, X, Instagram and YouTube. We need someone to take direct ownership of X and run it day to day, while also maintaining consistent social performance data analysis across all of our owned channels. This is a hands-on social strategy role for someone who knows how to build an interesting, credible and active presence on X. You will also work with the Social Manager to turn channel and audience data into clear recommendations about what Harvey should create, publish, test, stop and scale. The goal is a steady feedback loop between how our audience behaves, what our content strategy is and how our creative gets made. WHAT YOU'LL DO OWN X STRATEGY AND EXECUTION - Own Harvey's X strategy, programming and daily execution. - Develop a distinctive voice and a clear role for Harvey on the platform. - Create posts built for X, not LinkedIn content with the formatting changed. - Find proactive, reactive and real-time opportunities for Harvey to join relevant conversations. - Support product launches, research, events, partnerships, customer stories and company announcements on X. - Build recurring formats and programming that give people a reason to come back. - Write and edit copy that is clear, sharp and right for the platform. - Monitor replies, mentions and relevant conversations. - Work with the Social Content and Community Manager on engagement and response coverage. - Support founder, executive and employee amplification where it makes sense. - Use sound judgment in moments that carry brand, reputational or customer sensitivity. - Track changes to X and adjust our approach as the platform evolves. MANAGING CROSS-CHANNEL INSIGHTS AND OPTIMIZATION - Work with Social Manager and Social Content and Community Manager to pull weekly and monthly performance analysis across X, LinkedIn, Instagram and YouTube. - Collaborate with the social team to go beyond surface metrics and explain what actually drove performance. - Identify patterns across format, topic, audience, timing, creative approach and distribution. - Help turn findings into specific programming and creative recommendations. - Work with third party analytics tools to track follower growth, reach, engagement, clicks, sentiment and other channel-specific signals. - Analyze performance during major launches, events and campaigns utilizing third party analytics and channel analytics. - Work with Content Operations on data accuracy, UTMs, reporting processes and dashboards. - Bring audience and performance insight into quarterly strategy and planning. PUT SOCIAL LISTENING AND COMPETITIVE INTELLIGENCE TO WORK - Review owned and third party findings on legal AI conversations, share of voice and competitor activity. - Separate meaningful signals from routine noise. - Connect listening and competitive insights with channel performance data to build a fuller picture of what is working. - Translate audience questions, competitor moves and emerging conversations into programming and creative recommendations. - Write concise readouts for Social, Marketing and company leadership. - Flag opportunities and risks early enough for the team to act on them. SUPPORT THE BROADER SOCIAL TEAM - Partner closely with the Social Manager on channel strategy, campaign planning and editorial priorities. - Help translate company priorities into programming for each platform. - Bring performance insight into the creative briefing process. - Support social coverage during major events and launches. - Collaborate with Content, Communications, Product Marketing, Customer Engagement and Harvey Creative Studio. - Help build repeatable processes without adding unnecessary approval layers. - Do the work yourself while also improving how the team makes decisions. WHAT YOU HAVE - 5+ years of experience in social strategy, social media, audience development, digital publishing or a related field. - Deep knowledge of X and a track record of growing or reshaping a meaningful brand presence there. - Strong editorial judgment and the ability to write sharp copy that fits the platform. - Experience running an active social channel in a fast-moving environment. - Strong analytical skills and comfort working with social performance data. - The ability to explain why content performed the way it did, not just report the numbers. - Experience using social listening, competitive analysis and share-of-voice data to inform strategy. - A habit of turning data into specific creative and programming recommendations. - Experience designing social tests and evaluating the results honestly. - Familiarity with social publishing, analytics and listening platforms. - Good instincts for real-time content, reputational risk and sensitive moments. - Experience presenting insights to senior marketing or company leaders. - Excellent communication skills and a collaborative way of working. - Comfort making good calls with incomplete information and shifting priorities. - Genuine interest in legal technology, AI and how professional work is changing. You do not need to be a data scientist. We care about analytical fluency, curiosity and the ability to tell a clear story with data, combined with strong social instincts. Helpful but not required: Experience in B2B technology, media, professional services, legal or another complex industry. COMPENSATION $112,000 - $154,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.   #LI-LT1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are investing in our owned social channels to grow share of voice and tell a clearer, more connected company story across LinkedIn, X, Instagram and YouTube. We need someone to take direct ownership of X and run it day to day, while also maintaining consistent social performance data analysis across all of our owned channels. This is a hands-on social strategy role for someone who knows how to build an interesting, credible and active presence on X. You will also work with the Social Manager to turn channel and audience data into clear recommendations about what Harvey should create, publish, test, stop and scale. The goal is a steady feedback loop between how our audience behaves, what our content strategy is and how our creative gets made. WHAT YOU'LL DO OWN X STRATEGY AND EXECUTION - Own Harvey's X strategy, programming and daily execution. - Develop a distinctive voice and a clear role for Harvey on the platform. - Create posts built for X, not LinkedIn content with the formatting changed. - Find proactive, reactive and real-time opportunities for Harvey to join relevant conversations. - Support product launches, research, events, partnerships, customer stories and company announcements on X. - Build recurring formats and programming that give people a reason to come back. - Write and edit copy that is clear, sharp and right for the platform. - Monitor replies, mentions and relevant conversations. - Work with the Social Content and Community Manager on engagement and response coverage. - Support founder, executive and employee amplification where it makes sense. - Use sound judgment in moments that carry brand, reputational or customer sensitivity. - Track changes to X and adjust our approach as the platform evolves. MANAGING CROSS-CHANNEL INSIGHTS AND OPTIMIZATION - Work with Social Manager and Social Content and Community Manager to pull weekly and monthly performance analysis across X, LinkedIn, Instagram and YouTube. - Collaborate with the social team to go beyond surface metrics and explain what actually drove performance. - Identify patterns across format, topic, audience, timing, creative approach and distribution. - Help turn findings into specific programming and creative recommendations. - Work with third party analytics tools to track follower growth, reach, engagement, clicks, sentiment and other channel-specific signals. - Analyze performance during major launches, events and campaigns utilizing third party analytics and channel analytics. - Work with Content Operations on data accuracy, UTMs, reporting processes and dashboards. - Bring audience and performance insight into quarterly strategy and planning. PUT SOCIAL LISTENING AND COMPETITIVE INTELLIGENCE TO WORK - Review owned and third party findings on legal AI conversations, share of voice and competitor activity. - Separate meaningful signals from routine noise. - Connect listening and competitive insights with channel performance data to build a fuller picture of what is working. - Translate audience questions, competitor moves and emerging conversations into programming and creative recommendations. - Write concise readouts for Social, Marketing and company leadership. - Flag opportunities and risks early enough for the team to act on them. SUPPORT THE BROADER SOCIAL TEAM - Partner closely with the Social Manager on channel strategy, campaign planning and editorial priorities. - Help translate company priorities into programming for each platform. - Bring performance insight into the creative briefing process. - Support social coverage during major events and launches. - Collaborate with Content, Communications, Product Marketing, Customer Engagement and Harvey Creative Studio. - Help build repeatable processes without adding unnecessary approval layers. - Do the work yourself while also improving how the team makes decisions. WHAT YOU HAVE - 5+ years of experience in social strategy, social media, audience development, digital publishing or a related field. - Deep knowledge of X and a track record of growing or reshaping a meaningful brand presence there. - Strong editorial judgment and the ability to write sharp copy that fits the platform. - Experience running an active social channel in a fast-moving environment. - Strong analytical skills and comfort working with social performance data. - The ability to explain why content performed the way it did, not just report the numbers. - Experience using social listening, competitive analysis and share-of-voice data to inform strategy. - A habit of turning data into specific creative and programming recommendations. - Experience designing social tests and evaluating the results honestly. - Familiarity with social publishing, analytics and listening platforms. - Good instincts for real-time content, reputational risk and sensitive moments. - Experience presenting insights to senior marketing or company leaders. - Excellent communication skills and a collaborative way of working. - Comfort making good calls with incomplete information and shifting priorities. - Genuine interest in legal technology, AI and how professional work is changing. You do not need to be a data scientist. We care about analytical fluency, curiosity and the ability to tell a clear story with data, combined with strong social instincts. Helpful but not required: Experience in B2B technology, media, professional services, legal or another complex industry. COMPENSATION $112,000 - $154,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LT1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression. What you'll do Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution. Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers. Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner. Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting. Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results. Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings. Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements. Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change. What you'll bring Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software. Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context. Experience with Salesforce and partner-management systems or portals. Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations. Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others. Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation. Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems. Preferred experience includes Impartner or similar tools, SQL, or Snowflake. About the team The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $86,400 — $146,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time. Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build. As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security. Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do. WHAT YOU'LL DO - Incorporate secure design principles into our cloud architecture. - Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default - Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team - Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC) - Partner with Engineering and Product teams to: - Manage risks and vulnerabilities in our Cloud environment. - Translate security requirements into concrete engineering investments - Define infrastructure security architecture and multi-quarter roadmaps - Mentor and develop other security engineers on the team, raising the overall technical bar WHAT YOU HAVE - 8+ years experience in Security Engineering and/or Software Engineering - Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams. - Strong fundamentals in networking, operating systems, and cryptographic protocols - In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors - Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments - Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud) - Track record of driving cross-functional security initiatives and influencing engineering decisions across teams - Experience setting security standards and best practices at an organizational scale - (No experience with generative AI or legal required) BONUS - Familiarity with large-scale Infrastructure as Code (IaC) deployments - Familiarity with Kubernetes Admission Controllers and policy enforcement - Exposure to multi-cloud environments COMPENSATION RANGE $231,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York; United States; United Kingdom; London ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role ElevenLabs is building its first private equity and growth investor partner channel, and you’ll be the first person to own it. You’ll embed ElevenLabs in funds’ value-creation programs and drive AI adoption across their portfolio companies, so we sell portfolio-wide through the sponsor instead of one company at a time. You’ll work with Operating Partners, Value Creation teams and portfolio executives on the fund side, and with our Sales, Solutions Engineering and Customer Success teams internally. You’ll report to the Global Head of BD & Partnerships and own the pipeline and ARR sourced through PE partnerships. This role suits someone who has worked inside a PE or growth-equity firm and now wants to build the channel from the technology side. Responsibilities - Launch the ElevenLabs PE & Growth Investor Partner Program and recruit the first 8–10 partner firms - Build executive relationships with Operating Partners, Value Creation leaders and investment professionals - Structure partnership agreements, joint GTM plans and commercial models - Identify priority portfolio companies and build joint account plans with PE operating teams - Work with AEs, FDEs, Customer Success and Product to take portfolio deployments from introduction to production - Own PE-sourced pipeline and ARR, and expand single deployments into portfolio-wide programs - Build repeatable playbooks and represent ElevenLabs at PE conferences and operating-partner forums Requirements - Experience inside a PE or growth-equity firm as an investor or operator (investing, value creation or portfolio operations) - Go-to-market or partnerships experience at a technology company after that fund-side work - 6+ years of experience across private equity and enterprise AI, cloud or software - Strong relationships with Operating Partners and Value Creation teams - A track record of turning PE relationships into measurable pipeline and revenue - Executive presence with Managing Partners, Operating Partners and portfolio CEOs - Comfortable carrying a number and building a motion from zero Bonus - Built a PE or growth-investor partner program at a high-growth or large tech company - Experience selling AI or automation into support, contact center or sales use cases - Hands-on use of voice or chat agents, including ElevenLabs Location This role is remote-first, with NYC or London preferred. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Retrieval ML team builds the machine learning systems that identify relevant advertising candidates for Reddit users. Retrieval sits at the heart of the ads delivery funnel: before downstream ranking and auction decisions, our models determine which campaigns and ads are eligible to compete. We work on large-scale retrieval across multiple objectives, placements, and geographies. Our work combines representation learning, candidate generation, nearest-neighbor search, behavioral and contextual signals, and rigorous offline and online experimentation. Role Description: We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team. You will lead the design and evolution of retrieval models and modeling practices that improve relevance, advertiser outcomes, and user experience at Reddit scale. This is an applied ML role centered on retrieval modeling and end-to-end product impact. You will be expected to stay close to the technical details—from data and objective design through model development, evaluation, experimentation, and launch—while setting direction for other engineers. Responsibilities: Define the technical direction and multi-year roadmap for ads retrieval modeling in partnership with engineering, product, data science, and ads stakeholders. Design, develop, and launch candidate-generation and retrieval models for campaigns and ads across Reddit’s advertising surfaces. Apply modern approaches such as two-tower architectures, representation learning, embeddings, sequence models, graph-based methods, and other deep learning techniques when they create meaningful product value. Improve the retrieval stack across key modeling decisions, including objectives, labels, sampling strategies, hard-negative mining, feature design, embedding generation, candidate filtering, and retrieval depth. Work with approximate nearest-neighbor and vector retrieval systems, reasoning about recall, relevance, freshness, diversity, coverage, latency, and cost trade-offs. Establish strong evaluation practices that connect retrieval metrics—such as recall, precision, candidate coverage, calibration, and downstream lift—to ads and user outcomes. Lead offline analysis and online experiments, interpret ambiguous results, and translate findings into the next modeling iteration. Partner with downstream ranking, ads platform, auction, measurement, and product teams to ensure retrieval models integrate effectively into the full ads funnel. Write design documents, review code and model changes, and raise the quality bar for modeling, testing, observability, and production ownership. Mentor ML engineers and help grow the team’s expertise in retrieval, recommendation, and representation learning. Required Qualifications: 7+ years of industry experience, including substantial experience building and shipping applied ML products. Deep experience with information retrieval, candidate generation, recommender systems, ranking, or related relevance problems. Strong understanding of retrieval modeling concepts, including DNN, embeddings, two-tower or dual-encoder models, approximate nearest-neighbor search, and multi-stage retrieval. Deep experience training, evaluating, debugging, and deploying deep learning models using TensorFlow, PyTorch, or similar frameworks. Demonstrated ownership of ML projects from problem framing and data preparation through offline evaluation, online experimentation, production launch, and iteration. Strong command of experimental design and model evaluation, including how offline retrieval metrics relate to downstream business and user metrics. Experience working with large-scale behavioral, contextual, or content datasets and complex feature pipelines. Strong software engineering fundamentals and the ability to write clear, reliable, maintainable production code. Technical leadership experience: setting direction, leading complex projects, influencing partner teams, and mentoring other engineers. Excellent written and verbal communication, with the ability to explain complex modeling choices to technical and non-technical audiences. Preferred Qualifications: Experience with ads retrieval, ads ranking, ad targeting, ad serving, recommendation, search relevance, or marketplace optimization Experience modeling user, content, campaign, or ad interactions with sequential, graph, or multimodal signals Experience connecting retrieval improvements to downstream ranking, auction, conversion, revenue, or user-experience outcomes Experience in ads marketplaces at peer companies Publications, patents, or industry contributions in applied ML or ranking systems Experience with sequential modeling (e.g., RNNs, Transformers) Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AJ1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a Compensation Business Partner to ensure our compensation philosophy, principles, and practices extend to all of our markets outside of the US, initially focused on EMEA and APAC. This will be our first Compensation Business Partner dedicated to our international business sitting within the EMEA region, and an opportunity to help shape how Harvey approaches compensation as we continue to scale globally. You’ll partner closely with our People Business Partners, Recruiting team, business leaders, and the broader Compensation team to ensure our programs remain competitive, thoughtful, and scalable across markets. We’re looking for someone who combines deep compensation expertise with strong business judgment. You should be equally comfortable analyzing market data, advising a recruiter on a complex offer, partnering with a PBP and developing a point of view on how Harvey should approach compensation in a new or rapidly evolving market. This is a highly collaborative role that will have a great degree of partnership across many functions. WHAT YOU'LL DO - Serve as the primary Compensation Business Partner for EMEA and APAC, developing deep context on our teams, talent markets, and hiring needs across the regions. - Partner closely with People Business Partners and business leaders on compensation decisions including new hires, promotions, internal mobility, and other complex compensation questions. - Build a particularly strong partnership with Recruiting, advising on offers, market competitiveness, and candidate-specific situations. - Help evolve Harvey's international compensation strategy as we scale, including our approach to geographic differentiation, market positioning, salary structures, and equity. - Bring deep equity expertise and help translate Harvey's equity philosophy across markets where candidate expectations and familiarity with US-style equity compensation can vary significantly. - Research emerging compensation practices and talent trends, particularly across the rapidly evolving AI market, and turn external data into clear recommendations for Harvey. - Conduct market analyses using compensation survey data and other sources, while applying judgment. - Partner with the broader Compensation team on compensation cycles, benchmarking, band development, and company-wide programs, ensuring international considerations are represented from the beginning. - Identify where our US practices translate internationally—and where they don't—and proactively recommend changes as Harvey enters and scales in new markets. - Help build the infrastructure, principles, and enablement that will allow Harvey's international compensation approach to scale. WHAT YOU HAVE - 5-7+ years of experience in compensation - Experience supporting international compensation across EMEA and/or APAC. - Experience working for a US-headquartered company, with a strong understanding of how global compensation programs are designed and adapted for international markets. - Meaningful experience with equity compensation, including the ability to explain and advise on equity in markets with different norms and expectations. - Experience in a high-growth startup or scale-up environment; you are comfortable building while the company and market are changing around you. - Strong knowledge of compensation fundamentals including market benchmarking, salary structures, job leveling, offers, promotions, retention, and pay decisions. - Exceptional business partnership skills. You can build trust with leaders, PBPs, and recruiters while being willing to challenge assumptions. - Strong analytical skills paired with excellent judgment—you know when the data is telling you something and when it requires additional context. - Intellectual curiosity and a genuine appetite to become an expert on the AI talent market, including proactively researching competitors, compensation trends, and emerging practices. - Comfortable operating with ambiguity and building new approaches rather than relying on an established playbook. - Ability to communicate complicated compensation concepts simply and credibly to audiences with very different levels of compensation expertise. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LE1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the US, the base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the UK, the base compensation range for this role is GBP 103,958 - GBP 124,750 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 878,578 - SEK 1,054,294. 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. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Spain, the base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 117,600 - EUR 141,120. 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. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Germany, the base compensation range for this role is EUR 109,709 - EUR 131,651. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *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. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. 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. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .