Вакансии

Location: Jakarta, Indonesia; Kuala Lumpur, Malaysia Eram Talent, an ISO 9001:2015-certified division of Eram Group, provides human resources, industrial projects, and maintenance services solutions across the oil and energy sector and related industries. The company supports complex operational environments where technical expertise, safety, and performance improvement are central to long-term success. This opportunity is suited to a process engineer who can help improve plant performance across gas processing and related industrial operations. In this role, you will contribute to optimization, reliability, and safe operations by working closely with multidisciplinary teams and translating technical analysis into practical improvements for the plant. If selected, the job location would be onsite at Saudi Arabia Responsibilities Analyze existing plant processes and identify improvements that enhance efficiency, quality, productivity, energy use, and waste reduction. Design, execute, and analyze plant performance tests; evaluate performance data; and provide actionable optimization recommendations. Collect and analyze process data to identify trends and deviations, and prepare technical reports and presentations for management and stakeholders. Troubleshoot operational issues, determine root causes, implement corrective actions, and support operations and maintenance teams with complex process-related problems. Apply process improvement methodologies such as Lean and Six Sigma, refine standard operating procedures, and promote process consistency. Collaborate with operations, maintenance, engineering, commissioning, and safety teams to ensure safe and efficient operations. Train plant personnel on process improvements and best practices. Ensure compliance with safety, environmental, and regulatory standards, and participate in risk assessments, process hazard analyses, and safety audits. Lead or support process improvement projects and coordinate timely execution across departments. Monitor and maintain process control systems for stability and efficiency. Requirements Bachelor’s degree or higher in Chemical Engineering with a minimum of 7+ years of relevant process engineering experience. Relevant plant or process experience in SARU (Soot Ash Recovery Unit), SRU (Sulphur Recovery Unit), AGR (Acid Gas Removal Unit), HRU (Hydrogen Recovery Unit), gasification units, gas processing, sulfur recovery, hydrogen recovery, and refining or petrochemical facilities. Strong understanding of plant operations, process optimization, and performance testing. Familiarity with laboratory equipment and analytical techniques, including chromatographs, spectrometers, and other analytical instruments. Knowledge of process safety management, risk assessment methods, EHS regulations, P&ID interpretation, and process documentation. Expertise in troubleshooting and diagnosing operational issues in plant systems and equipment. Experience with process control, automation systems, and advanced process control strategies. Ability to use Aspen HYSYS and process simulation tools. Proficiency in spoken and written English, including the ability to prepare clear technical reports and presentations.

Location: Kuala Lumpur, Malaysia; Jakarta, Indonesia Eram Talent, an ISO 9001:2015-certified division of Eram Group, provides human resources, industrial projects, and maintenance services solutions across the oil and energy sector and related industries. The company supports complex operational environments where technical expertise, safety, and performance improvement are central to long-term success. This opportunity is suited to a process engineer who can help improve plant performance across gas processing and related industrial operations. In this role, you will contribute to optimization, reliability, and safe operations by working closely with multidisciplinary teams and translating technical analysis into practical improvements for the plant. If selected, the job location would be onsite at Saudi Arabia Responsibilities Analyze existing plant processes and identify improvements that enhance efficiency, quality, productivity, energy use, and waste reduction. Design, execute, and analyze plant performance tests; evaluate performance data; and provide actionable optimization recommendations. Collect and analyze process data to identify trends and deviations, and prepare technical reports and presentations for management and stakeholders. Troubleshoot operational issues, determine root causes, implement corrective actions, and support operations and maintenance teams with complex process-related problems. Apply process improvement methodologies such as Lean and Six Sigma, refine standard operating procedures, and promote process consistency. Collaborate with operations, maintenance, engineering, commissioning, and safety teams to ensure safe and efficient operations. Train plant personnel on process improvements and best practices. Ensure compliance with safety, environmental, and regulatory standards, and participate in risk assessments, process hazard analyses, and safety audits. Lead or support process improvement projects and coordinate timely execution across departments. Monitor and maintain process control systems for stability and efficiency. Requirements Bachelor’s degree or higher in Chemical Engineering with a minimum of 7+ years of relevant process engineering experience. Relevant plant or process experience in SARU (Soot Ash Recovery Unit), SRU (Sulphur Recovery Unit), AGR (Acid Gas Removal Unit), HRU (Hydrogen Recovery Unit), gasification units, gas processing, sulfur recovery, hydrogen recovery, and refining or petrochemical facilities. Strong understanding of plant operations, process optimization, and performance testing. Familiarity with laboratory equipment and analytical techniques, including chromatographs, spectrometers, and other analytical instruments. Knowledge of process safety management, risk assessment methods, EHS regulations, P&ID interpretation, and process documentation. Expertise in troubleshooting and diagnosing operational issues in plant systems and equipment. Experience with process control, automation systems, and advanced process control strategies. Ability to use Aspen HYSYS and process simulation tools. Proficiency in spoken and written English, including the ability to prepare clear technical reports and presentations.

Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Location: San Francisco; Washington D.C. Perplexity is seeking an intrepid Member of Technical Staff to take on one of the AI industry's most unique engineering roles. You'll work directly with Perplexity's senior leadership to spearhead a broad portfolio of strategic technology initiatives across policy, law, operations, and corporate affairs. As a Member of Technical Staff in the Policy & Strategic Initiatives group, you'll occupy a front-row seat to the foremost policy issues animating the AI ecosystem. You'll also get a panoptic view of how leading AI companies operate, make decisions, and engage with broader society. Those seeking to marry technical expertise and broader interests in law, policy, and corporate affairs will find a home in this role. You'll make contributions to Perplexity that defy traditional boundaries, with a bench of mentors who will push you to learn and grow day after day. WHAT YOU'LL DO: Your work will be both highly interdisciplinary and firmly grounded in engineering rigor. On any given day, you might: - Harness AI agents to research high-stakes policy and regulatory issues pertaining to Perplexity. - Build automated platforms for harvesting, prioritizing, and patenting Perplexity's inventions, in collaboration with our AI researchers and intellectual property attorneys. - Work hands-on with our Legal team and outside counsel in support of high-tech litigation matters in U.S. federal court. - Engineer privacy and compliance systems that efficiently scale with our growing portfolio of frontier AI products (such as Comet https://www.perplexity.ai/comet and Computer https://www.perplexity.ai/products/computer). - Contribute to regulatory filings and responses that require impeccable command of AI technology, Perplexity's own systems, and the broader policy landscape. - Embed with our People team to implement first-party software solutions for recruiting, labor compliance, and performance management. - Participate in meetings with Capitol Hill, executive branch officials, international partners, and civil society as a subject-matter expert on both AI technology and policy. The above is a small sampling of activities; no two days will be the same, and your work will take you to all corners of our company. You'll interact each day with Perplexity's senior leaders, who will come to rely on you as a creative problem solver for simple and complex matters alike. WHO WE'RE LOOKING FOR: No single profile defines our ideal candidate for this role. Here are some examples of people who might thrive here: - Exceptionally talented early-career engineers (new grads welcome) who are (1) well-read in law, tech policy, or economics, and (2) wish to grow in both technical and non-technical disciplines. - We welcome candidates who plan to attend law school or PhD programs in the future; we ask for a minimum 2-year commitment (i.e., you would apply for the entering class of 2028 or later). - Experienced engineers at top tech companies who wish to develop policy, business, and operations chops. - Lawyers or economists (new JD or PhD grads welcome) who've kept their engineering skills sharp and are excited to reimagine their fields in the age of AI. - This is a non-exhaustive list; other profiles may also be great fits. No matter which profile describes you, we'll also be looking for: - Evidence of exceptional ability and 99th-percentile work ethic. - Strong technical skills at or above Perplexity's hiring bar for software engineers. - Fluency with frontier intelligence tools (such as Perplexity Computer https://www.perplexity.ai/products/computer). - High intrinsically-enforced standards for the craft and quality of your work. - Strong communication and writing skills, ideally demonstrated via samples of past written work product. - Curiosity and excitement about new and unfamiliar fields; eagerness to redefine your job every 3-6 months. - Ability to quickly dive deep in any given field and develop mastery rivaling that of domain experts. - Unimpeachable judgment, integrity, and discretion to be entrusted with the company's most important matters. - A service-oriented attitude that continually questions how company systems and processes might better serve stakeholders.

Location: San Francisco, California Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE We're looking for an experienced engineering leader to own one of the most critical areas within Platform: the runtime and stateful systems Sentry runs on. You'll lead multiple engineering teams and Staff engineers responsible for OLTP and OLAP databases, real-time compute and stream processing, blob storage, and distributed caching. These systems power Sentry's products, including Seer, and are mission-critical to the business. When they perform well, every product team moves faster. When they don't, the whole company feels the impact. You'll set the technical vision across these systems, lead significant architectural changes, and develop the engineering leaders and teams responsible for building and operating them. This role requires someone who brings deep technical judgment, thinks strategically, and has a track record of driving complex engineering initiatives from concept through execution. You'll have the opportunity to shape both the technical direction and organizational growth of a critical part of Sentry's platform as our products and infrastructure continue to evolve. This is a hybrid role based in the San Francisco Bay Area, with an expectation of working from our San Francisco office three days per week. IN THIS ROLE YOU WILL - Lead multiple engineering teams and Staff engineers responsible for the runtime and stateful systems supporting Sentry, Seer, and the products built on top of them. - Set the technical vision and strategy across multiple systems, identifying opportunities to evolve our architecture as the business scales. - Drive significant architectural changes and technical initiatives, making informed tradeoffs around scalability, reliability, performance, cost, and complexity. - Provide technical leadership across teams, working closely with senior engineers to evaluate architectural decisions, challenge assumptions, and establish technical direction. - Own the execution and operational excellence of mission-critical systems, ensuring teams deliver reliable, scalable, and high-performing platform components. - Build and develop a strong engineering organization, including hiring, mentoring, and growing engineering managers and senior technical leaders. - Foster a culture of engineering excellence, technical accountability, and continuous improvement. - Partner across Platform, Infrastructure, and Product to align priorities, navigate ambiguity, and deliver complex, cross-functional initiatives. - Anticipate evolving product and infrastructure needs, identifying opportunities to build new platform capabilities and improve existing systems. YOU'LL LOVE THIS JOB IF YOU - Enjoy solving complex distributed systems problems and have strong opinions about architecture, backed by experience and sound technical judgment. - Thrive in roles where you're equally responsible for technical direction, execution, and developing engineering leaders. - Like taking ownership of ambiguous technical challenges, establishing a clear strategy, and bringing teams together to execute. - Are passionate about building large-scale systems where reliability, performance, and efficiency directly impact the business. - Enjoy partnering with senior engineers, challenging technical assumptions, and helping teams make thoughtful architectural decisions. - Take pride in building high-performing teams, developing future leaders, and raising the engineering bar. - Want to shape the runtime foundation supporting Sentry's products and AI capabilities for years to come. QUALIFICATIONS - 12+ years of experience in backend, platform, or infrastructure engineering, with significant experience designing and operating large-scale distributed systems. - Director-level engineering management experience, or equivalent senior engineering leadership experience overseeing multiple teams at comparable scale and complexity. - Deep technical expertise in at least one of the following domains: - OLTP databases - OLAP databases - Real-time compute and stream processing - Blob/object storage - Distributed caching - Demonstrated experience driving significant architectural changes, including evaluating technical tradeoffs, establishing direction, and leading implementation. - Strong technical judgment and the ability to engage deeply in architectural discussions across multiple distributed systems domains. - Proven track record of leading complex, cross-functional engineering initiatives from strategy through execution, with measurable technical or business impact. - Experience hiring, developing, and leading engineering managers and senior technical talent. - Strong communication and organizational leadership skills, with the ability to articulate technical concepts, influence senior stakeholders, and align teams around a shared strategy. - Experience operating mission-critical infrastructure with a strong understanding of reliability, scalability, performance, and operational efficiency. The base salary range that Sentry reasonably expects to pay for this position is $300,000 to $450,000 USD, plus an annual performance bonus of up to 20% of base salary. A successful candidate’s actual base salary amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

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 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.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

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. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to 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 $115,200 — $162,000 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: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time. We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the Pacific and Mountain time zones. You Will Own customer tickets end to end, with clear written root-cause explanations and next steps Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix Build scripts and tooling, to make diagnosis and configuration faster and safer Work with technical and business stakeholders to understand requirements and recommend sustainable solutions Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum Keep learning about new web technologies and contribute to process and tooling improvements You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation 2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs) Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash) Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar) A methodical, hypothesis-driven approach to complex problems Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences The ability to drive outcomes despite complexity, ambiguity or shifting priorities Preferred but not required Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful) Hands-on experience with Nginx or similar proxy and web server configuration Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps) Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages Software development experience You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.

Location: United States Overview Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked #3 on Fast Company's Most Innovative Companies list . We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started. The Solution Architect/Technical Implementation Manager is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. As a Solution Architect, you are the hands-on advisor, technical expert, and problem solver. You will be leading various technical integrations and implementations, solving the most challenging problems in the content localization space, and designing sustainable solutions to support our customers’ growing localization needs. The Solution Architect is an Engineering-adjacent role. Accordingly, a strong technical background is required for this role.  We are looking for a professional who has a track record of successfully designing and implementing enterprise-grade technical solutions, who communicates complex concepts and ideas effectively, and who demonstrates creativity in solving challenging problems for customers. We are considering candidates based in the East and Central time zones only at this time. You Will Interact with both technical and business users to gather requirements, analyze information, and design comprehensive and scalable solutions Effectively and proactively manage process changes with business and technical stakeholders to drive implementations forward Act with precision and urgency to provide customers with best-in-class support, and lead workshops and troubleshooting sessions with customer technical teams to resolve complex issues Continuously articulate best practices to encourage optimal integration and platform adoption, laying the foundation for the long-term success of customers Stay curious about new technologies, develop new tools, and contribute to process improvement You Have A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience 3+ years of relevant experience as a Solution Architect, Technical Consultant, or in a similar customer-facing role that focuses on technical solution design and implementation Strong analytical skills when it comes to complex problems, and are not intimidated by technical challenges 2+ years of applied experience with modern web technologies (e.g. HTTP, HTML, CSS and JavaScript), and REST APIs Excellent communication skills with the capability to advise/persuade technical and non-technical stakeholders Ability to drive outcomes despite complexity, ambiguity or changing scope Familiarity with at least one programming/scripting language and able to read/write scripts A home office setup conducive for working remotely, and ability to work effectively as a remote team member* Preferred but not required Knowledge of Content Delivery Networks (CDN), web servers, and proxy technologies such as Nginx Familiarity with Content Management Systems (CMS) Software development experience Experience with file engineering and regular expressions Hands-on experience with Splunk, Kibana or similar technologies Experience with translation, localization, and internationalization processes and/or fluency in multiple languages You Will Enjoy Freedom 🏡 - we are remote-first Growth  - an opportunity to learn and advance your career Wealth 💰 - we offer a competitive salary and 401(k) + company match Wellness - health insurance; free medical plan for you and your family Balance - flexible PTO + 11 holidays; generous parental leave Culture 🤝- an energetic, value-driven, and fun culture and team spirit Bonus - employee referral program and Apple equipment Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences. We use the E-Verify platform for work authorization verifications. The US national total pay range for this role is $100,000-$120,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed. *To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction- and clutter-free) background.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation sensor processing to enable foundational health features at WHOOP. You’ll develop the edge signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.   Responsibilities - Lead the design and development of real-time signal processing and edge inference for consumer products - Own the full development lifecycle, from prototyping and validation through productization and continuous improvement - Evaluate commercial solutions, develop prototypes and demos, and inform build/buy decisions - Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members - Mentor junior engineers and contribute to a high-performance, research-to-production culture Qualifications - B.S. in Electrical Engineering or related field, M.S. or PhD preferred - 5+ years of experience developing and deploying real-time sensor signal processing algorithms (physiological, audio, motion, or related modalities) - Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, time-frequency methods) - Demonstrated experience integrating signal-processing components into end-to-end embedded systems - Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets - Experience integrating third-party libraries, frameworks, or algorithm IP - Proficiency in Python or MATLAB for algorithm prototyping and with C/C++ for deployment to embedded product platforms - Excellent communication skills, including the ability to present technical results to a diverse audience - Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products Additional Desired Experience - Experience deploying signal processing algorithms to battery-powered consumer product platforms - Familiarity with adaptive signal processing, multi-sensor processing, signal enhancement, detection, or classification techniques - Experience developing and evaluating hybrid DSP/ML systems - Familiarity with embedded firmware, RTOS environments, and real-time processing pipelines - Experience using optimized MCU/DSP libraries and acceleration frameworks (e.g., CMSIS-DSP, CMSIS-NN, or vendor-specific libraries) - Experience with fixed-point implementation, quantization, or other numerical optimization techniques for embedded signal processing

Location: San Francisco; New York City Workplace: Hybrid We're hiring a Compensation Lead to build Perplexity's compensation function and own its day-to-day execution. You'll build the programs and processes that support how we hire, recognize, and retain people. You should be comfortable moving between program design and an individual offer, building longer-term structure while keeping today's decisions moving. The goal is a compensation approach that is competitive, financially sound, and clear enough for people to use, without adding unnecessary complexity. WHAT YOU'LL OWN - Build the compensation foundation. Assess existing practices, data, and tools; prioritize the gaps; and develop recommendations on compensation philosophy, market positioning, and cash and equity guidelines. - Develop salary ranges and market benchmarks. Establish a consistent approach to pricing roles across functions and locations. Partner with People and business leaders on job scope and leveling, and explain where market data is useful or incomplete. - Own day-to-day compensation decisions. Be the primary partner for offers, promotions, pay adjustments, and compensation questions. Evaluate recommendations against market data, internal equity, and budget, with clear approval paths for exceptions. - Design and run compensation reviews. Build the calendar, planning models, manager guidance, and approval process. Coordinate with Finance, People Operations, Payroll, and equity partners to carry decisions through to accurate implementation. - Inform leadership decisions. Model the cost and employee impact of proposed changes to salary and equity programs. Present a recommendation and its trade-offs, then own execution once approved. - Identify and address inconsistencies. Assess pay compression and potential inequities across teams, levels, and locations. Partner with People leadership and Legal on appropriate reviews and recommend actions. - Build processes people can use. Establish decision records, recruiter and manager guidance, and clear explanations of compensation programs. Improve recurring workflows so consistent decisions don't depend on individual knowledge or one-off conversations. - Own the data and tools behind the work. Establish reliable compensation records, select and manage benchmarking resources, and improve reporting and quality checks. Use approved automation and AI tools where they help, with appropriate protection for employee information and verification of results. WHAT YOU BRING - Experience building compensation programs: You've established or substantially rebuilt compensation frameworks and processes with limited infrastructure, and stayed accountable for running them after launch. - Technical compensation depth: Hands-on experience with market pricing, salary ranges, cash and equity programs, compensation reviews, and individual pay recommendations. - Strong analytical judgment: You can build and audit models, reconcile imperfect data, and explain your assumptions. You know when a benchmark is a useful comparison and when it misses the role. - Ability to influence decisions: You can turn analysis into a clear recommendation, discuss trade-offs with leadership, and constructively challenge an approach that isn't working. - Independent, hands-on execution: You can set priorities, build a workable process, and manage urgent requests without losing progress on longer-term work. You're comfortable being both the person designing the program and the person checking the data. - Discretion and clear communication: You handle sensitive information carefully and explain compensation decisions in language that recruiters, managers, and employees can understand.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

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: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In the US, the base compensation range for this role is $162,275 - $194,730. 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: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed 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: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533. 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: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. Actual compensation may vary based on level, experience, and skillset as assessed 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: We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value. Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks. Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you. What You'll Be Doing: Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral. Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more. Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey. Conduct market and customer research to understand pain points, competition and opportunities. Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects. What Makes You a Great Fit: 4+ years of relevant experience (product marketing, solutions marketing, product management) Experience with marketing and selling to a technical audience A passion for open source, cloud native, and infrastructure technologies Proven ability to take on complex projects and efficiently drive them from start to finish Ability to clearly articulate the value of technical products to customers and sellers alike Experience leading product or feature launches autonomously as well as part of a team Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows Comfort working with a variety of internal and external stakeholders in complicated processes Strong product and technical curiosity that translate to clear packaging, positioning, and messaging Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations. Exceptional writing and communication skills A high “say-do” ratio in executing and delivering impact Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 104,000 - EUR 124,800. Actual compensation may vary based on level, experience, and skillset as assessed 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 .