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Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention.   Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue.   KEY RESPONSIBILITIES - Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. - Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). - Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, and technical evaluations alongside the partner motion. - Partner Acquisition & Development: Lead technical demonstrations and deep-dives for prospective partners, support recruitment as the technical closer, and elevate existing partners by showcasing new platform capabilities that expand their practice opportunity. - AI & Certified Agents: Enable partners to identify, scope, and sell Certified Agent opportunities, deliver AI transformation workshops, and serve as the regional bridge between the internal AI/Agent team and the partner ecosystem. - Events & Marketing: Lead or support partner-driven events (workshops, in-market tours, executive dinners), develop enablement content, and contribute to partner case studies and proof points. - Reseller-Model Support: Support partner-owned billing, procurement, and renewal workflows, enable partners on expansion motions, and coordinate with Professional Services on co-delivery oversight and escalation paths. - Internal Collaboration: Work cross-functionally with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, assist with RFPs, and feed partner insights back into product and process improvements.   QUALIFICATIONS - 8+ years of experience in enterprise pre-sales, solutions engineering, sales engineering, solutions consulting, or a comparable customer-facing technical role. - 2+ years supporting or enabling channel partners, VARs, system integrators, or working in a partner-led go-to-market motion. - Demonstrated ability to build programs from scratch (not just execute existing ones). - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Experience designing or explaining solutions involving APIs, web services, automation, integrations, workflow configuration, or lightweight technical validation. - Strong background in business process mapping, including the ability to analyse, document, and improve complex business processes across diverse environments. - Ability to create credibility with partners, AEs, and customers, handle objections thoughtfully, and act as a trusted advisor. - Hands-on experience with AI & LLMs, integration platforms (Unito, Workato, Zapier, Integromat), web services, and APIs. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Up to 50% of travel is required for this role. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Egypt Company Overview PartnerOne is a long-term software investment group that acquires, operates, and scales successful enterprise technology companies worldwide. With over 30 years of experience, PartnerOne owns and manages a portfolio of high-growth software businesses that serve more than 2,000 leading corporations and government organizations globally. Our focus on operational excellence, sustainable growth, and continuous improvement creates a high-performance environment where accountability, ownership, and collaboration drive success. Position Summary We are seeking a highly skilled CRM Software Engineer to support the development, customization, automation, and integration of enterprise CRM platforms, with a primary focus on Zoho CRM and the Zoho One ecosystem. This role is responsible for translating approved business requirements and CRM architecture designs into working solutions through configuration, scripting, coding, automation, integrations, and system enhancements. The CRM Software Engineer will work closely with the Corporate CRM Architect, Business Analysts, and business stakeholders to build and maintain scalable CRM solutions that support multiple companies operating within a shared CRM framework. The ideal candidate has experience working across multiple CRM platforms including Salesforce, Sage, Quickbooks, HubSpot, and Zoho CRM, with strong software development and systems integration expertise. Key Responsibilities CRM Development & Configuration Configure and customize Zoho CRM modules, layouts, forms, fields, profiles, roles, and permissions. Develop and maintain custom functionality within Zoho CRM and related Zoho applications. Implement business workflows, blueprints, automation, approval processes, and notifications. Create custom reports, dashboards, KPIs, and analytics solutions. Configure CRM environments based on established solution designs and implementation specifications. Software Development & Scripting Develop custom solutions using: Zoho Deluge JavaScript REST APIs Webhooks SDKs Custom Functions Serverless integrations Write, test, deploy, and support CRM scripts and automation. Create reusable components and development standards for multiple company implementations. Troubleshoot, optimize, and enhance existing CRM functionality. Integrations Develop and maintain integrations between Zoho CRM and external systems including: ERP platforms Financial applications Support platforms Marketing automation systems eCommerce solutions Third-party APIs Build API connections and middleware solutions. Support data synchronization and workflow automation across platforms. Data Migration & Conversion Support Assist with data migration projects from: Salesforce NetSuite CRM Microsoft Dynamics HubSpot Legacy CRM platforms Perform data mapping, transformation, validation, and migration support. Develop import and validation scripts to improve migration efficiency and data quality. System Maintenance & Support Troubleshoot CRM issues and provide technical support. Monitor system performance and proactively address technical issues. Participate in testing, deployment, and release management activities. Maintain development, test, and production environments. Support CRM upgrades and new feature deployments. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience. 4+ years of experience in CRM development, software engineering, or business systems development. Hands-on experience configuring, customizing, and developing within enterprise CRM platforms, preferably Zoho CRM. Experience with CRM platforms such as Zoho CRM, Salesforce, HubSpot, Sage Intacct, NetSuite CRM, or QuickBooks. Strong experience developing and supporting REST API integrations and third-party system integrations. Proficiency in Zoho Deluge scripting and workflow automation. Strong knowledge of JavaScript, SQL, JSON, and XML. Experience with CRM customization, workflow design, business process automation, and data migration. Experience implementing, enhancing, or migrating CRM solutions. Knowledge of integration architecture, data mapping, and system troubleshooting. Experience with Zoho One ecosystem, including Zoho Flow, Zoho Creator, Zoho Analytics, and Zoho Desk, preferred. Familiarity with Salesforce administration or development is a plus. Experience using Git or other source control platforms. Strong problem-solving and debugging skills with the ability to identify and resolve complex technical issues. Detail-oriented with excellent documentation and organizational skills. Ability to collaborate effectively with cross-functional teams, including Sales, Marketing, Customer Success, and Operations. Strong time management skills with the ability to manage multiple priorities in a fast-paced environment. Commitment to continuous learning and staying current with CRM, automation, and software development best practices.

Location: India Company Overview PartnerOne is a long-term software investment group that acquires, operates, and scales successful enterprise technology companies worldwide. With over 30 years of experience, PartnerOne owns and manages a portfolio of high-growth software businesses that serve more than 2,000 leading corporations and government organizations globally. Our focus on operational excellence, sustainable growth, and continuous improvement creates a high-performance environment where accountability, ownership, and collaboration drive success. Position Summary We are seeking a highly skilled CRM Software Engineer to support the development, customization, automation, and integration of enterprise CRM platforms, with a primary focus on Zoho CRM and the Zoho One ecosystem. This role is responsible for translating approved business requirements and CRM architecture designs into working solutions through configuration, scripting, coding, automation, integrations, and system enhancements. The CRM Software Engineer will work closely with the Corporate CRM Architect, Business Analysts, and business stakeholders to build and maintain scalable CRM solutions that support multiple companies operating within a shared CRM framework. The ideal candidate has experience working across multiple CRM platforms including Salesforce, Sage, Quickbooks, HubSpot, and Zoho CRM, with strong software development and systems integration expertise. Key Responsibilities CRM Development & Configuration Configure and customize Zoho CRM modules, layouts, forms, fields, profiles, roles, and permissions. Develop and maintain custom functionality within Zoho CRM and related Zoho applications. Implement business workflows, blueprints, automation, approval processes, and notifications. Create custom reports, dashboards, KPIs, and analytics solutions. Configure CRM environments based on established solution designs and implementation specifications. Software Development & Scripting Develop custom solutions using: Zoho Deluge JavaScript REST APIs Webhooks SDKs Custom Functions Serverless integrations Write, test, deploy, and support CRM scripts and automation. Create reusable components and development standards for multiple company implementations. Troubleshoot, optimize, and enhance existing CRM functionality. Integrations Develop and maintain integrations between Zoho CRM and external systems including: ERP platforms Financial applications Support platforms Marketing automation systems eCommerce solutions Third-party APIs Build API connections and middleware solutions. Support data synchronization and workflow automation across platforms. Data Migration & Conversion Support Assist with data migration projects from: Salesforce NetSuite CRM Microsoft Dynamics HubSpot Legacy CRM platforms Perform data mapping, transformation, validation, and migration support. Develop import and validation scripts to improve migration efficiency and data quality. System Maintenance & Support Troubleshoot CRM issues and provide technical support. Monitor system performance and proactively address technical issues. Participate in testing, deployment, and release management activities. Maintain development, test, and production environments. Support CRM upgrades and new feature deployments. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience. 4+ years of experience in CRM development, software engineering, or business systems development. Hands-on experience configuring, customizing, and developing within enterprise CRM platforms, preferably Zoho CRM. Experience with CRM platforms such as Zoho CRM, Salesforce, HubSpot, Sage Intacct, NetSuite CRM, or QuickBooks. Strong experience developing and supporting REST API integrations and third-party system integrations. Proficiency in Zoho Deluge scripting and workflow automation. Strong knowledge of JavaScript, SQL, JSON, and XML. Experience with CRM customization, workflow design, business process automation, and data migration. Experience implementing, enhancing, or migrating CRM solutions. Knowledge of integration architecture, data mapping, and system troubleshooting. Experience with Zoho One ecosystem, including Zoho Flow, Zoho Creator, Zoho Analytics, and Zoho Desk, preferred. Familiarity with Salesforce administration or development is a plus. Experience using Git or other source control platforms. Strong problem-solving and debugging skills with the ability to identify and resolve complex technical issues. Detail-oriented with excellent documentation and organizational skills. Ability to collaborate effectively with cross-functional teams, including Sales, Marketing, Customer Success, and Operations. Strong time management skills with the ability to manage multiple priorities in a fast-paced environment. Commitment to continuous learning and staying current with CRM, automation, and software development best practices.

Location: Brazil; Colombia; Mexico; Argentina; Chile; Uruguay Company Overview PartnerOne is a long-term software investment group that acquires, operates, and scales successful enterprise technology companies worldwide. With over 30 years of experience, PartnerOne owns and manages a portfolio of high-growth software businesses that serve more than 2,000 leading corporations and government organizations globally. Our focus on operational excellence, sustainable growth, and continuous improvement creates a high-performance environment where accountability, ownership, and collaboration drive success. Position Summary We are seeking a highly skilled CRM Software Engineer to support the development, customization, automation, and integration of enterprise CRM platforms, with a primary focus on Zoho CRM and the Zoho One ecosystem. This role is responsible for translating approved business requirements and CRM architecture designs into working solutions through configuration, scripting, coding, automation, integrations, and system enhancements. The CRM Software Engineer will work closely with the Corporate CRM Architect, Business Analysts, and business stakeholders to build and maintain scalable CRM solutions that support multiple companies operating within a shared CRM framework. The ideal candidate has experience working across multiple CRM platforms including Salesforce, Sage, Quickbooks, HubSpot, and Zoho CRM, with strong software development and systems integration expertise. Key Responsibilities CRM Development & Configuration Configure and customize Zoho CRM modules, layouts, forms, fields, profiles, roles, and permissions. Develop and maintain custom functionality within Zoho CRM and related Zoho applications. Implement business workflows, blueprints, automation, approval processes, and notifications. Create custom reports, dashboards, KPIs, and analytics solutions. Configure CRM environments based on established solution designs and implementation specifications. Software Development & Scripting Develop custom solutions using: Zoho Deluge JavaScript REST APIs Webhooks SDKs Custom Functions Serverless integrations Write, test, deploy, and support CRM scripts and automation. Create reusable components and development standards for multiple company implementations. Troubleshoot, optimize, and enhance existing CRM functionality. Integrations Develop and maintain integrations between Zoho CRM and external systems including: ERP platforms Financial applications Support platforms Marketing automation systems eCommerce solutions Third-party APIs Build API connections and middleware solutions. Support data synchronization and workflow automation across platforms. Data Migration & Conversion Support Assist with data migration projects from: Salesforce NetSuite CRM Microsoft Dynamics HubSpot Legacy CRM platforms Perform data mapping, transformation, validation, and migration support. Develop import and validation scripts to improve migration efficiency and data quality. System Maintenance & Support Troubleshoot CRM issues and provide technical support. Monitor system performance and proactively address technical issues. Participate in testing, deployment, and release management activities. Maintain development, test, and production environments. Support CRM upgrades and new feature deployments. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience. 4+ years of experience in CRM development, software engineering, or business systems development. Hands-on experience configuring, customizing, and developing within enterprise CRM platforms, preferably Zoho CRM. Experience with CRM platforms such as Zoho CRM, Salesforce, HubSpot, Sage Intacct, NetSuite CRM, or QuickBooks. Strong experience developing and supporting REST API integrations and third-party system integrations. Proficiency in Zoho Deluge scripting and workflow automation. Strong knowledge of JavaScript, SQL, JSON, and XML. Experience with CRM customization, workflow design, business process automation, and data migration. Experience implementing, enhancing, or migrating CRM solutions. Knowledge of integration architecture, data mapping, and system troubleshooting. Experience with Zoho One ecosystem, including Zoho Flow, Zoho Creator, Zoho Analytics, and Zoho Desk, preferred. Familiarity with Salesforce administration or development is a plus. Experience using Git or other source control platforms. Strong problem-solving and debugging skills with the ability to identify and resolve complex technical issues. Detail-oriented with excellent documentation and organizational skills. Ability to collaborate effectively with cross-functional teams, including Sales, Marketing, Customer Success, and Operations. Strong time management skills with the ability to manage multiple priorities in a fast-paced environment. Commitment to continuous learning and staying current with CRM, automation, and software development best practices.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering. In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations. Key Responsibilities Scientific & Clinical Data Platform Architecture Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS). Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models. Process Engineering & Manufacturing Integration Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems. Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms. Enterprise Data Engineering & Compliance Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL. Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment. Technical Leadership & Domain Alignment Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications. Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering. Domain Adaptability: Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, PySpark, and expert-level SQL. Data Platforms: Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems. Orchestration & ETL: Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines. Data Pipelines: Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations. Domain Competency (Scientific & Process Focus) Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) OR chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional. What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure. Not a non-coding Architect: This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: United States About Flosum Flosum builds a Salesforce native DevOps and release management platform. Enterprise teams use us to manage deployments, data migration, backup and compliance entirely inside Salesforce, without moving metadata or data outside the platform. We work with large, often highly regulated organisations that hold Salesforce to a serious standard. We are scaling our commercial organisation across the US and Europe, and we are bringing on a group of independent recruiters to help us do it. How you will work with us You will meet with our CEO at least twice a week You will join a weekly staff meeting where you can raise questions directly and get answers in the room You will be briefed on what to look for, what to avoid, and where not to source from, rather than being handed a requisition and left alone Performance is visible weekly. If placements are not working out, you will see that early and so will we What you would do Source and build pipeline for assigned sales, account management and marketing roles Screen candidates against our criteria and present a qualified shortlist Manage candidate communication and scheduling through to offer Give us direct market feedback on compensation and availability in your region Keep candidate records current in Workable Requirements What we are looking for You recruit sales roles as your primary specialism. Marketing recruiting experience alongside it is valuable, but most of this work is sales Capacity to commit 30+ hours per week on a consulting or contracting basis An active candidate network in the United States or Europe Comfortable working at pace. We move quickly on decisions and expect the same We prefer to engage individual recruiters rather than agencies Helpful, not required Experience recruiting into the Salesforce ecosystem: ISVs, AppExchange partners or Salesforce consultancies Familiarity with DevOps, release management or developer tooling as a category Experience hiring across both US and European markets in a single engagement

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks. We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity.  You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments. Responsibilities Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers. Ability to write safety evals and communicate externally about safety. Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state. Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders. Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries. Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning. Minimum Qualifications You may be a good fit if you have: Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems. Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions. Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space. Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute. Evidence of exercising judgment and decision making in ambiguous situations. Planning, building, launching and measuring new products / systems in a zero to one environment. Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication. Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks. Preferred Qualifications 5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $385,000 — $460,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote, DC MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The federal government generates more data every day than most organizations manage in a decade, streaming continuously from satellites, unmanned systems, sensors, and warfighters across every domain and classification level. At the same time, AI is transforming how that data gets used, from massive training data lakes to real-time decision-making at the tactical edge. MinIO sits at the center of both problems. We are the data foundation that lets federal and defense customers store, move, and act on their data at any scale, in any environment, including the most austere and disconnected ones on the planet. This isn't incremental infrastructure work; it's the layer that decides whether the right data reaches the right decision-maker at the right moment. The Sr Regional Sales Manager, Federal at MinIO will lead new business development for our Federal practice in an individual contributor capacity. MinIO Federal is a channel-first organization. The right candidate has a working network of FSI, ecosystem, and channel partner relationships to activate on day one. What You Will Do: Drive Pipeline Through Partners: Actively develop and close new business across DoW, IC, and civilian agencies by activating and expanding relationships with existing and new federal channel partners and systems integrators. Leverage Existing Relationships: Bring and activate your own network of federal customer, partner, and FSI contacts to accelerate pipeline from day one. Established relationships with agencies, primes, or federal resellers are a core requirement of this role. Own the Sales Cycle: Manage the full sales cycle through close, maintaining a healthy, accurately forecasted pipeline. Articulate MinIO's Value in a Federal Context: Tailor MinIO's value proposition to federal buyers and their unique constraints, budget cycles, compliance requirements, and procurement vehicles, spanning both traditional data infrastructure and emerging AI/ML, inference, and agentic AI use cases, and equip partners to do the same. Cross-Functional Collaboration: Work closely with our Federal field architect, channel, and marketing resources to align technical, partner, and go-to-market strategy, and ensure a seamless customer and partner experience. Accurate Forecasting: Maintain transparent, accurate forecasts of pipeline and sales activity to support planning and the broader Federal growth model. Your Skills and Experience: Established Federal Relationships: Existing, active relationships with federal systems integrators, resellers, and agency contacts that can be brought to bear immediately. Federal Sales Experience: 7+ years of experience in federal or public sector sales, with a demonstrated track record of sourcing and closing new business through partners and channel relationships. Channel-Led Sales Motion: Deep familiarity with partner-led federal sales models, deal registration, teaming agreements, and working alongside resellers and SIs rather than solely direct-to-agency. Domain Knowledge: Background in technology sales, ideally cloud-native infrastructure, storage, and/or AI/data platforms; understanding of federal buyer constraints (procurement vehicles, budget cycles, compliance). Startup/Growth-Stage Experience: Comfortable operating in a lean, fast-moving environment without the infrastructure of a large, established sales org. Challenger Approach: Skilled at identifying and challenging the status quo, demonstrating clear business value, and closing competitive deals. Excellent Communication: Strong verbal and written communication skills, able to represent MinIO credibly to agency stakeholders, partner executives, and internal leadership alike. Clearance: Active security clearance, or the ability to obtain one. Educational Background: BA or BS in a related field or equivalent experience. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a Staff Product Designer to set the experience strategy for the DeepBook financial stack and the first-party products built around it, spanning spot trading, margin, prediction markets, liquidity, and the workflows that connect users and builders to onchain finance on Sui. This role requires strong product judgment, exceptional design craft, people leadership, and real fluency in financial markets and DeFi. You will work with product and engineering from strategy through launch, build a design team that can cover a growing product surface, and stay close enough to the work to lead critical product flows yourself. The right person knows how to make complex financial systems clear without removing the information users need to assess risk. You should be comfortable designing for retail and professional users, working through technical and regulatory constraints, and using research and product data to improve adoption, execution quality, retention, and trust. What You Will Do - Set the design vision, principles, and priorities in partnership with product, engineering, and business leadership. - Own the end-to-end experience across DeepBook spot, margin, prediction products, liquidity workflows, and related first-party applications. - Lead the design of core journeys including onboarding, funding, market discovery, order entry, transaction review and signing, portfolio and position management, collateral, liquidation risk, settlement, and recovery from failed states. - Design for distinct audiences such as retail traders, experienced DeFi users, market makers, liquidity providers, institutions, and developers without creating a fragmented product experience. - Remain hands-on in the highest-priority work by framing problems, developing concepts, prototyping, testing, and reviewing implementation quality. - Build a scalable design system and shared interaction patterns for dense financial data, charts, tables, order entry, account states, alerts, and risk communication. - Establish a practical research program using interviews, usability studies, product analytics, support feedback, and market observation. - Partner with engineering to understand protocol behavior, transaction states, latency, data dependencies, security boundaries, and platform constraints. - Work with legal, security, marketing, business development, and ecosystem teams to launch products responsibly and communicate financial concepts accurately. - Define design and product quality measures, then connect the team's work to activation, conversion, trading success, retention, support burden, and user trust. What You Will Have - 10 or more years of product design experience, including meaningful experience leading, hiring, and developing designers in a fast-moving product organization. - A portfolio that shows both exceptional individual craft and leadership impact across complex, data-dense products. - Experience designing trading, investing, fintech, payments, crypto, marketplace, or other high-stakes products where users make consequential decisions. - Fluency in DeFi and direct experience using onchain products. You can discuss swaps, order books, liquidity, routing, slippage, collateral, leverage, liquidation, settlement, smart-contract risk, and transaction signing. - Strong product judgment and a record of shaping strategy, prioritization, and product decisions with product and engineering partners. - Skill in interaction design, information architecture, visual design, prototyping, research, and systems thinking. - Experience building design systems and operating practices that improve consistency and delivery across multiple products. - Comfort working through ambiguity and making progress while product, technical, market, and legal inputs continue to change. Nice to Have - Experience leading design for an exchange, order book, derivatives or margin product, prediction market, wallet, aggregator, or institutional trading platform. - Experience with both retail and professional trading experiences, including charts, market data, portfolio analytics, and execution workflows. - Familiarity with Sui, Move, programmable transaction blocks, DeepBook, Slush, or object-based blockchain architectures. - Experience designing products in legally complex or regulated financial categories. - Prior experience as a founder, design executive, principal designer, trader, DeFi power user, or ecosystem operator. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: San Francisco; Germany; New York; The Netherlands Workplace: Remote ABOUT LANGFUSE Langfuse is the open-source LLM engineering platform that helps teams build useful AI applications through tracing, evaluation, prompt management, datasets, and metrics. We are now part of ClickHouse. Like ClickHouse, Langfuse is open source, and we work in public: our product, docs, changelog, roadmap, and community discussions are visible to the developers and teams who use us. Langfuse is already one of the most widely adopted platforms in the category: trusted by 19 of the Fortune 50 and 63 of the Fortune 500, with 50M+ SDK installs per month, 6M+ Docker pulls, and 30k+ GitHub stars. We are hiring a Head of Marketing for Langfuse. This is a hands-on marketing leadership role for someone with deep experience in product marketing, developer marketing, and technical content. You will own how Langfuse shows up in the market, manage the Langfuse marketing team, and turn our current founder-led, product-led motion into a holistic marketing ecosystem. The core of the role is still product marketing and developer trust: positioning, launches, category narrative, developer content, website, customer proof, lifecycle, funnel, sales enablement, and the way we explain Langfuse to technical users and technical buyers. At the same time, Langfuse now has access to ClickHouse's global go-to-market engine. You will be the person who makes those resources work for Langfuse without diluting the Langfuse voice. WHAT YOU'LL DO: - Own Langfuse marketing strategy and execution globally, with product marketing and developer content as the center of gravity. - Manage and develop the Langfuse marketing team, including Product Marketing Engineering, Developer Advocacy, and Product Marketing content and resources. - Define the operating model for Langfuse marketing: what sits in the Langfuse pod, what runs through ClickHouse shared teams, who owns what, and how we measure whether it is working. - Build the marketing plan across positioning, launches, website narrative including product pages and conversion paths, customer proof, onboarding, lifecycle, funnel, sales collateral, campaigns, and events. - Own the Langfuse category narrative: LLM observability, evals, prompt management, datasets, agent observability, self-hosting, and the broader LLM engineering workflow. - Keep the developer motion strong: useful technical content, examples, cookbooks, docs-adjacent education, changelog, town halls, open-source communication, and high-trust product launches. - Partner with ClickHouse demand generation and field marketing to make enterprise marketing systematic rather than ad hoc: webinars, workshops, regional events, conferences, paid campaigns, retargeting, and follow-up motions. - Create the canonical Langfuse sales narrative and enablement system so ClickHouse AEs, SAs, field teams, and leadership can confidently explain Langfuse. - Lead customer marketing and proof: case studies, technical stories, customer references, logo strategy, community stories, enterprise migration stories, and reusable sales narratives. - Use data to run the function: unique visitors, signups, activation, revenue, product usage signals, campaign performance, attribution, event ROI, pipeline creation, pipeline acceleration, and qualitative user feedback. WHAT YOU BRING ALONG: - You have led product marketing, developer marketing, DevRel, growth, or demand gen marketing for a technical SaaS product. - You have marketed to developers, infrastructure teams, AI teams, data teams, security teams, observability teams, or another highly technical audience. - You are a strong product marketer at the core: positioning, narrative, launch strategy, competitive thinking, customer proof, sales enablement, and technical buyer messaging are natural territory for you. - You write exceptionally well. You can make complex technical ideas clear without making them shallow. - You are technical enough to use the product, understand the market, earn credibility with engineers, and spot vague or misleading marketing. - You understand product-led growth and open-source funnels: activation, onboarding, conversion, lifecycle, self-serve adoption, usage signals, and sales-assisted expansion. - You understand enterprise marketing enough to work with demand gen, field marketing, sales, solutions, and regional teams. You do not need to personally run every event or paid campaign, but you need to know what good looks like and how to make the system work. - You can manage a small, high-talent team while remaining hands-on where the work needs senior judgment. - You are comfortable building the function while the company is changing around you. Some work will be cleanly owned. Some work will require influence, coordination, and judgment across a larger organization. - You already create content: blog posts, talks, product explainers, social posts, newsletters, videos, docs, demos, or open-source examples. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ABOUT THE ROLE We're looking for a Senior Product Manager to join the team working on analytics features in RevenueCat. RevenueCat is the monetization engine for 40% of new subscription apps shipped — and the number of apps shipped is growing exponentially. We are uniquely positioned not only to give individual developer impactful information into the performance of their own apps, but also deliver truly unique data and insight given our position in the market; we know what good looks like, and we can not only put numbers in context, but give specific recommendations on metrics to target, experiments to run and anomalies to investigate. Our analytics features help app developers make better decisions that improve the monetization of their apps. As product manager on this team, you are responsible for working with your team to set the vision and roadmap, delivering on it, launching new functionality, and increasing the impact of the team. This role requires: - being technical to understand how our analytics system works and its constraint - being analytical to be able to define how to show data as well as debugging issues and edge cases - being customer obsessed to understand what information app developers need for their decisions and how we can provide this information to them - having an understanding of the app ecosystem, how the economics of app businesses work, and what success means for app developers You will oversee all of the Analytics features at RevenueCat — our charts, benchmarking, dashboard, and predictive LTV. You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers understand and grow their revenue. ABOUT YOU Skills & Experience - You have 5+ years of product management or adjacent experience, with meaningful time shipping complex products. - You’re analytical. You can’t do your job without data platform access. You are proficient in SQL (or similar tools) — whatever tool you need to know, you’ll learn. You love diving deep into data yourself. You’re experienced in developing robust and scalable metrics. - You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works — what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details - You’re an excellent communicator. You can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across. Values and Abilities - You act like an owner. You roll up your sleeves, dive into the logs, and get something done yourself. - You thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate. - You're a systems thinker. You can step back from a specific customer request and see the broader system. You build things that scale. - You're deep on the details. You care about what users experience, not just what the data says. - You know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You have a bias toward shipping. You love building — and are energized by discovery, experimentation, and rapid iteration. - You’re passionate about great data visualization. Chart sins grind your gears. Your visualizations deliver meaningful insights. You care what is says — and what it looks like — and you know those things are dependent on each other. WHAT YOU'LL DO - Own the product strategy and roadmap for RevenueCat's Analytics products. - Be obsessed with your customers. You will triage and investigate complex data and analytics problems deeply, instead of fully delegating to engineering. Dig deep to understand what developers really want — distill signal from noise and good ideas from bad ones. - Recommend, develop and maintain new benchmarks and metrics that deliver value to our developers, and help them make more money. Be the go-to person when a number looks off. - Set the vision. Create a plan that is cohesive, intentional, and impactful. Break that down into meaningful chunks on a reasonable timeline. - Get it done. Collaborate closely with engineering, data science, and GTM teams to bring robust analytics and experimentation tools to market. This job can not be done alone, and will require deep understanding of the individual products and the infrastructure that hooks them together. The salary for this role is $230,000 USD. You can view our full Compensation Philosophy here https://www.notion.so/revenuecat/RevenueCat-Compensation-Philosophy-82b57cae23ab4c9bb62dfe4e933d32d0 for additional details. In the first month, you'll: - Get to know the product, customers, and team - Contribute to shipping a meaningful feature to thousands of developers - Be ramped up on ongoing projects in your teams Within the first 3 months, you'll: - Have formed a strong working relationship with your engineering manager and design counterpart - Have taken ownership of the roadmap and prioritization for your team (jointly with the engineering manager) - Work with your engineering manager and leadership to define quarterly objectives for your teams - Have shipped the first bigger feature end to end - Work with your team to discover opportunities and solutions to deliver value to our customers - Play an integral role in your team’s discovery and delivery processes - Understand the fundamentals of our tech stack and its complexities, and drive the evaluation feasibility/value tradeoffs in collaboration with your teams Within the first 6 months, you'll: - Have helped your team grow and become a high-performing, engaged team in line with our company values - Effectively collaborate with internal stakeholders of all levels - Be an expert of your areas of the product and the related customer needs, and instill customer empathy in your teams - Independently drive all product-related decisions in your area - Have contributed meaningfully to our knowledge of our customers and their needs, our industry, and important trends - Develop a longer term vision for your area of the product in line with the product strategy - Work with your teams to improve processes and interfaces with other teams Within the first 12 months, you'll: - Be ready to kill something you have shipped if we learned it didn't deliver the value we hoped - Explore completely new opportunities for how RevenueCat may provide greater value to our customers - Make meaningful contributions to our overall product strategy - Have delivered a material, business-impacting new benefit to our customers in your product area WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Canada (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. This is a remote opportunity and we would be interested in applicants from Canada in EST time zones only at this time. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 211,450 - CAD 253,740 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 124,571 - EUR 149,485 . Actual compensation may vary based on level, experience, and skillset as assessed in 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. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Ireland, the Base compensation range for this role is EUR 133,600 - EUR 160,320 . Actual compensation may vary based on level, experience, and skillset as assessed in 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. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 106,680 - EUR 128,016 . Actual compensation may vary based on level, experience, and skillset as assessed in 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. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 996,819 - SEK 1,196,182 . Actual compensation may vary based on level, experience, and skillset as assessed in 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. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 117,949 - GBP 141,539 . Actual compensation may vary based on level, experience, and skillset as assessed in 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 .