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Location: Colorado Springs, Colorado, United States About the Role iCapital is looking to hire an Analyst Configuration Developer who is responsible for implementing and maintaining business rules within FireLight®, Hexure’s (now part of iCapital) proprietary SaaS electronic fulfillment platform. This role builds on foundational configuration skills to handle moderately complex business logic, ensuring that financial product applications are completed “In-Good-Order” with accuracy, completeness, and compliance. This individual will collaborate closely with internal teams and clients to deliver high-quality solutions, improve user experience, and meet project timelines and KPIs. Responsibilities Configure and maintain business rules within FireLight® to drive accurate and compliant user experiences for financial product applications. Implement configuration components including Role Codes, Review Queues, Needs Determination, mapping documents, and admin mappings. Ensure applications meet standards across completeness, compliance, and business requirements. Participate across the SDLC including requirements understanding, configuration, testing, and deployment support. Perform unit and integration testing to validate accuracy and quality of configured business rules. Support customer deployments, ensuring timely and accurate implementation of configurations. Monitor and resolve issues via ticketing systems (Jira), ensuring timely turnaround and minimal client disruption. Provide Tier 2 production support by troubleshooting configuration-related issues and triaging client tickets. Collaborate with cross-functional teams to resolve defects, improve configurations, and enhance platform performance. Use AI tools to accelerate rule creation, scenario testing, and issue investigation to improve efficiency and reduce rework. Ensure adherence to coding best practices including simplicity, modularity, and reusability. Meet utilization, productivity, and quality benchmarks, including low churn and on-time delivery. Participate in team meetings, providing clear updates on progress, risks, and dependencies. Qualifications 1–3 years of experience in a technical or configuration-focused role Strong proficiency in XML (creation, editing, troubleshooting) and understanding of structured business logic Solid understanding of Software Development Life Cycle (SDLC) in a SaaS environment Familiar with FireLight® platform components and configuration concepts (or ability to ramp quickly) Working knowledge of tools such as Jira (ticketing), OpenAir (time tracking), Notepad++ (rule development), and Adobe Acrobat Exposure to integrations with third-party platforms (i.e. Salesforce, Redtail, Yellow Pages) is a plus Foundational understanding of financial services domain (insurance, annuities, life insurance processes, compliance requirements) Strong problem-solving skills with attention to detail and accuracy Able to manage multiple tasks and priorities in a fast-paced environment Effective written and verbal communication skills with the ability to collaborate across teams Self-driven with a learning mindset and willingness to adopt new technologies, including AI-enabled tools Able to work independently with minimal supervision while contributing effectively as part of a team Benefits The base salary range for this role is $65,000 to $80,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. This role is based in the greater Colorado Springs, CO area. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Newport News, Virginia Workplace: OnSite Clinic-Based Board Certified Behavior Analyst (BCBA) Academy For Effective Behavior Intervention, a Finni Health company Location: Newport News, VA clinic Rate: $75/hr Schedule: Full-time | Monday-Friday, 9:00 AM - 5:00 PM At Academy For Effective Behavior Intervention, we believe every child deserves compassionate, individualized care that helps them reach their fullest potential. As we continue to grow, we're always looking to connect with passionate Board Certified Behavior Analysts who share our commitment to delivering exceptional, evidence-based ABA services. What You'll Do As a BCBA, you'll play a key role in supporting children with autism and developmental disabilities while partnering with families and multidisciplinary teams to create meaningful outcomes. Responsibilities may include: • Conducting behavioral assessments and functional behavior assessments (FBAs) • Developing, implementing, and monitoring individualized treatment plans • Providing caregiver training and ongoing family support • Supervising and mentoring Behavior Technicians (BTs) and Registered Behavior Technicians (RBTs) • Collaborating with families, providers, and interdisciplinary care teams • Monitoring client progress and adjusting treatment plans based on data • Maintaining timely, accurate, and HIPAA-compliant clinical documentation • Staying current with best practices and advancements in Applied Behavior Analysis What You Bring We're looking for clinicians who are passionate about providing high-quality, ethical care. Qualifications include: • Current Board Certified Behavior Analyst (BCBA) certification • Master's degree in Applied Behavior Analysis, Psychology, Education, or a related field • Experience working with children diagnosed with autism spectrum disorder and other developmental disabilities • Strong clinical decision-making and communication skills • A collaborative, compassionate, and family-centered approach to care • Ability to work in person and full-time • Reliable transportation • Ability to obtain or maintain CPR certification • Ability to successfully complete a background check as required by funding sources • Ability to meet the physical demands of working directly with children, including lifting up to 50 pounds, kneeling, sitting on the floor, and engaging in active play Why Academy For Effective Behavior Intervention? We believe supporting our clinicians is essential to delivering outstanding care. Depending on the position, benefits may include: • Competitive compensation based on experience • Health, dental, and vision insurance for eligible full-time employees • Paid time off and paid holidays • Clinical mentorship and leadership growth opportunities • Supportive leadership that prioritizes ethical, clinician-centered care • A collaborative team environment focused on helping both clients and clinicians thrive Apply today if you're excited about making a meaningful impact and want to learn more! To protect our clients and their families, all offers of employment are contingent upon the successful completion of a background check and any other required pre-employment screenings.   Must be at least 18 years of age to meet regulatory, background check, and BACB eligibility requirements for behavioral healthcare providers #FinniHealthBCBA

ZILO is looking for an Operations Analyst to process subscription and redemption orders handle investor onboarding and run daily reconciliations for its US digital transfer agency in cooperation with the UK hub.

Location: Remote, USA Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. *This position is remote for candidates living in North America.   Position Summary:   Your focus is on providing an exceptional customer experience while handling technical queries and complaints for our cloud-based healthcare solutions. We are looking for someone who can prioritize daily tasks to resolve customer problems, independently or with others, in a timely manner using various communication channels. To do well in this role you need to be able to remain calm while trouble-shooting simple to moderately complex system issues with customers. As well, a strong understanding of administrative tasks and workflows for long term care and medical facilities is key to your success.   Reporting to the Sr Manager, Customer Support    Key Responsibilities:   •    Develop an in-depth understanding of the Billing modules used to support processes and patient care in Senior Living facilities •    As a member of the Customer Support Department, your main area of responsibility will be to resolve customer issues via phone, email, chat or remote sessions •    Work effectively and professionally with other departments to resolve issues •    Document user problems through the use of an online problem management system, Salesforce’s Service Cloud •    Coordinate and execute internal, external, and or internal/external meetings to resolve problems •    Stay current with product releases, AI tools, and emerging technologies relevant to healthcare SaaS •   Be available to work between the hours of 8am to 8pm weekdays, occasional weekends, and holidays as necessary      Your Key Strengths:    • Degree in Healthcare, IT, Engineering, Business Solutions (Preferred, not required)  •    Excellent interpersonal, customer support, and problem-solving skills •    Demonstrated ability to multi-task, prioritize, and manage customer expectations in an extremely fast paced and high demand environment •    Strong communication, relationship management and documentation skills •    High degree of computer literacy and excellent typing skills •    Experience providing web-based application software support •    Prior long term care experience working in a business office role •    Prior experience using PointClickCare (Preferred, Not required) #LI-MG1 #LI-Remote PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. US: At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $60,000 to $70,000 + Performance based bonus, and fulltime benefits.  Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations.   Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.   Overtime Eligible

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. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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 makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 814,000 - SEK 1,017,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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 makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Germany, the base compensation range for this role is € 100,000 - €125,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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 makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Spain, the base compensation range for this role is €85 ,000 - €107,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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 makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 107,000 - EUR 134,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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 makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . 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: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the role Rain is building payments and stablecoin infrastructure. Every transaction generates data across our system. We’re looking for an Analytics Engineer, Finance to own the data layer Finance runs on: model it, reconcile it against source systems, test it, automate it, and make it self-serve. You’ll partner with Finance and Accounting and the data team to make sure every number we report ties back to its source. We’re looking for someone with high agency and urgency who owns problems end to end, digs into discrepancies until the numbers tie out, and communicates clearly when something is uncertain. We care less about where you trained and more about what you’ve built. At Rain, we’re builders who use AI to automate repetitive work. That changes what data roles look like: where a data scientist used to only analyze and an analyst used to only build dashboards, here everyone models data, writes production-quality code, and automates their own workflows. You own the result, including checking what the AI produces. For this role, that means building trusted models and automating the reconciliations and reporting Finance depends on. What you’ll do - Build and own models for Finance: ledger, settlements, card transactions, invoicing, fees, and collateral, with clear grain and consistent definitions. - Build and run reconciliations between internal systems and external sources (card networks, processors, banks, partners); investigate breaks and fix the root cause. - Support month-end close and audit readiness with validated, documented outputs Finance can trust. - Automate recurring Finance reporting and deliveries (scheduled reports, exports, and alerts) so close and partner reporting run without manual work. - Add data quality tests and alerts so issues are caught before Finance sees them. - Partner with Finance to define metrics such as revenue, costs, volume, and contribution profit, and make them reusable across teams. - Build self-serve reporting so Finance can answer recurring questions independently. - Work with data and platform engineers on ingestion and source changes, following Rain’s data standards and access policies. What you’ll need - At least 3 years of experience in analytics engineering, software engineering, or analytics with a strong data modeling focus. - Proficiency using AI tools to learn new skills, navigate unfamiliar domains, and accelerate your work, while taking responsibility for checking the output. - Strong SQL in a modern data warehouse such as BigQuery, Snowflake, or Redshift, including complex joins, window functions, and incremental logic. - Hands-on dbt experience: data modeling, testing, documentation, version control, and code review. - Experience reconciling data across systems and explaining differences down to the row. - Familiarity with financial metrics and processes, such as revenue and costs, financial statements, reconciliation, or monthly close. - Strong attention to detail: you validate results against source systems and explain assumptions, tradeoffs, and uncertainty. - Ability to work independently and collaboratively in a fast-moving startup, communicating clearly with technical and nontechnical partners. Nice to have - Experience in payments, card issuing, fintech, or stablecoins, such as settlement files, ledgers, or interchange. - Experience with BI as code, such as Lightdash, Looker, or Omni. - Python or another scripting language for automation and data checks. - Experience working directly with Finance or Accounting teams. - Experience with orchestration and ingestion tools such as Dagster, Airflow, Meltano, Fivetran, or Datastream. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. We are looking for a Security GRC Lead to own security governance, risk, and compliance across Payward's acquisitions. You will be the accountable owner for bringing each acquired company from its own control environment into ours, working with the M&A Technology Team from diligence through to either full platform migration or steady-state coverage under our central program. Payward acquires and integrates companies continuously, across multiple jurisdictions and regulatory regimes. Every target arrives with its own controls, its own maturity level and its own audit history, and every one enters our financial statement audit scope on a timeline set by the deal rather than by readiness. Today that work competes for the same people who run controls for the parent company. This role exists so that it has a dedicated owner. This is a build role to uphold the repeatable process for assessing an acquired company against our security baseline, mapping its controls into our compliance frameworks,and setting remediation milestones a newly acquired team can realistically hit. You will then run it, deal after deal, and you are accountable for the work getting done.   THE OPPORTUNITY - Assess each acquisition target against Payward's security baseline, during diligence where deal timelines allow and immediately post-close otherwise - Map the acquired company's existing controls to Payward's control framework, and identify gaps against the external frameworks the entity falls under once in scope - Score control maturity at the entity level and document the basis for each score - Define remediation milestones that are achievable for the acquired team's size and maturity, sequenced by risk reduction rather than by framework order - Track milestones to closure and report status to Security GRC leadership and the M&A Technology Team - Recommend the endpoint for each entity: full migration onto Payward platforms, or uplift to a maturity level the central program can absorb - Load acquired-entity risks into the enterprise risk register and keep them current - Prepare acquired entities for inclusion in external audit scope, including evidence collection and walkthrough support - Act as the Security GRC point of contact for acquired-entity leadership, finance, and internal audit - Maintain policy coverage for acquired entities, including building entity-specific policy libraries where the parent policy set does not apply cleanly - Feed recurring findings back into the diligence process, so later deals are assessed against known patterns - Document the onboarding process so that it is repeatable and not dependent on one person   WHAT WILL YOU DO - Target Assessment - Review target security posture during diligence: control environment, identity and access management, infrastructure, third-party dependencies, and prior audit or examination history - Produce a written assessment of each target against the Payward security baseline, separating the risks that matter to the deal from those that matter to steady-state operations - Give the M&A Technology Team and deal sponsors a clear read on what integration will cost in control remediation terms - Control Mapping and Framework Onboarding - Map acquired controls to Payward's framework and to the external frameworks the entity becomes subject to - Identify which parent-company controls extend to the entity as they are, which need an entity-specific variant, and which have no equivalent at all - Build the entity's policy library where the parent policy set does not cover it - Remediation and Milestones - Set milestones the acquired team can meet, each with a date, an owner, and a stated risk reduction - Sequence work so that the highest-risk gaps close first rather than the easiest ones - Run the cadence for tracking remediation and escalating overdue or material risks Prepare proposed risk acceptances, including the rationale and compensating controls, and present them to leadership for decision - Program Integration - Prepare entities for external audit inclusion and support fieldwork - Keep acquired-entity risk visible in the enterprise risk register and in Security GRC reporting - Hand each entity over to central GRC coverage once its maturity supports it, with the handover documented - Integrate 3rd parties and vendors into Payward WHAT YOU BRING - 5-7+ years in security governance, IT risk, or compliance, including regulated financial services, fintech, or virtual asset environments - Direct experience onboarding an acquired company into an existing controls or compliance program. This is the core of the role - Working knowledge of SOX/ICFR IT general controls and what external auditors accept as evidence - Experience with at least two of ISO 27001, SOC 1, SOC 2, and PCI DSS, including mapping controls across frameworks - Ability to assess control maturity and set remediation plans the receiving team completes, including teams below Payward's maturity level - Hands-on delivery: you write the scope, collect the evidence, and close gaps yourself when needed - Sound judgment on priorities with incomplete information, and the sense to escalate decisions that need leadership - Ability to build working relationships with control owners in IAM, infrastructure, and engineering - Ability to translate control gaps into risk language that deal teams and executives can act on - Strong project management across cross-functional, distributed teams - Preferred - CISA, CRISC, CISM, CISSP, or ISO 27001 Lead Implementer - M&A or post-merger technology integration experience - Familiarity with PKM   WHY THIS ROLE - You will own a domain end to end rather than supporting someone else's. There is no incumbent process and no one else doing this work today - Acquisitions are one of the fastest-moving parts of the business, and security integration sits on the critical path for each one - You will work directly with deal teams, acquired-company leadership, external auditors, and Security GRC leadership, with visibility into how acquisitions are evaluated and closed - Payward is preparing for public company reporting, which means the controls you put in place at acquired entities are the ones external auditors will test - The scope of this role grows with the acquisition pipeline, across jurisdictions and regulatory regimes - You will join a remote-first, international team       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Workplace: remote Requirements At least 5 years of experience in strategic consulting, design, and further development of Data & Analytics solutions and data platforms in complex corporate structures Experience designing and enhancing Power BI and Self-Service Analytics solutions, with strong knowledge of modern data platform architectures in Microsoft Fabric, gained across 3+ projects Experience in the strategic introduction and organizational anchoring of Data & Analytics platforms, especially in the development of target visions, transformation roadmaps, and concepts for company-wide use, from at least one project 3+ years of experience implementing and driving Self-Service Analytics adoption, enabling business users and promoting effective collaboration between business and IT Experience in consulting and implementing Data & Analytics initiatives in the environment of railway companies from at least one project German at native-speaker level Knowledge of English at B2 level or above Nice to have Experience in implementing Microsoft Fabric artifacts such as Lakehouse, Notebooks, and Pipelines from at least 2 projects Experience in using Azure DevOps in connection with Microsoft Fabric from at least one project At least 3 years of experience working within agile project and organizational structures, especially applying agile methods and frameworks (e.g., Scrum, SAFe) Responsibilities Design, implementation, and operation of analytical data solutions using Microsoft Fabric (Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, Semantic Models) in line with client standards, security, and operational requirements Development and implementation of reports, dashboards, and analytical applications with Microsoft Power BI and Microsoft Fabric, including data modeling, DAX, visualization, and permission concepts Analysis, evaluation, and prototypical implementation of AI functionalities in Microsoft Fabric, e.g., for data analysis, data preparation, natural-language queries, forecasts, pattern recognition, and automated insight generation Consulting the business department in the analysis of complex requirements, the selection of suitable Fabric, Power BI, and AI functionalities, and the evaluation of technical implementation options Project management and coordination services in an agile project context, especially planning, prioritization, documentation, and tracking of requirements, tasks, risks, and dependencies Creation and maintenance of business and technical documentation on data sources, data models, transformation logic, reports, dashboards, AI use cases, permission concepts, and operational aspects Support of an MS Fabric and Power BI community Conducting enablement formats within the community for the business departments We offer Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota Competitive compensation that depends on your qualification and skills Career development system with clear skill qualifications Flexible working hours aligned to your schedule Options to work remotely Corporate medical insurance covering services of private and public medical centers English courses online Corporate parties and events for employees and their children Internal conferences, workshops and meetups for learning and experience sharing Gym membership compensation 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate Any questions? Natalya hh@itransition.com

• Опыт работы на проектах внедрения/развития хранилищ данных и/или Data Lake от 3-х лет. • Глубокое знание SQL (диалекты Oracle, PostgreSQL).

Задачи: — Принимать меры по своевременному предупреждению, выявлению и пресечению угроз информационной безопасности Общества. — Реагировать на инциденты информационной безопасности с использованием доступных средств защиты информации. — Разрабатывать сценарии детектирования и реагирования на инциденты информационной безопасности и внедрять их в системы мониторинга (правила корреляции/нормализации). — Разрабатывать рекомендации и инструкции реагирования на инциденты информационной безопасности (playbook-и) для специалистов отдела. — Участвовать в разборе инцидентов, связанных с нарушениями требований информационной безопасности, проводить мероприятия по выявлению и пресечению каналов утечки конфиденциальной информации (в том числе персональных данных), разрабатывать предложения по совершенствованию мер защиты информации, участвовать в тестировании и внедрении новых программных и технических средств защиты информации. — Формировать отчеты о расследовании инцидентов информационной безопасности. — Взаимодействовать со структурными подразделениями Общества по вопросам обеспечения информационной безопасности. Требования: — Опыт работы с системами класса SIEM, SOAR, IRP. — Опыт расследования инцидентов информационной безопасности, анализа логов от различных систем и умение их правильно интерпретировать. — Понимание принципов работы сетевых технологий, знание протоколов, архитектуры Windows и *nix. — Знание современных методов, инструментов и технологий проведения атак, актуальных угроз информационной безопасности и способов защиты от них. Условия: — Опыт работы в крупнейшем медиа холдинге страны. — Работа в команде профессионалов и творческих людей. — Достойный уровень дохода, обсуждаемый индивидуально с каждым кандидатом. — ДМС. — Гибридный формат работы (2 дня удаленно). Новая локация офиса: в декабре переезд в новый офис в Сколково. Сейчас офис находится на Соколе, что следует учитывать при отклике на вакансию.

Location: Москва Workplace: Комбинированный VK Видео — крупнейший российский видеосервис: ежедневно им пользуются десятки миллионов людей. Платформа объединяет все видеосервисы компании VK и обеспечивает более 2,4 миллиарда просмотров видео в сутки. По уровню технологичности мы не уступаем мировым лидерам и создаём собственные решения в области обработки и передачи видео, видеосвязи, машинного обучения и компьютерного зрения. Каждый месяц в VK Видео проходит более 1,7 миллиона трансляций. Запускать стримы на платформе можно в пару кликов с любого устройства и без дополнительных программ — прямо из браузера. Стриминг из браузера поддерживает 4К и частоту кадров 60 FPS. Перед нами стоит амбициозная задача — развивать видеосервис № 1 в России и внедрять новые технологии. Мы создаём новое горизонтальное направление внутри департамента аналитики медиаплатформ VK, задача которого — трансформировать работу аналитиков с помощью AI, автоматизации и внутренних продуктов. Наша цель — повысить эффективность аналитической функции: автоматизировать рутинные процессы, создавать инструменты самообслуживания и дать аналитикам возможность концентрироваться на более сложных и значимых задачах. Уже развиваем несколько направлений: AI-инструменты для аналитиков, автоматизацию A/B-тестирования, интеллектуальные базы знаний, AI-агентов и автоматизацию исследований. Задачи Формировать стратегию направления, определять приоритеты и отвечать за измеримый рост эффективности аналитической функции Создавать и развивать внутренние продукты: AI-агентов, инструменты автоматизации отчётности, базы знаний, решения для самостоятельного проведения A/B-тестов и исследований Управлять реализацией проектов: от выявления потребностей аналитиков и продуктовых команд до разработки, внедрения и масштабирования решений Выстраивать взаимодействие с аналитиками, разработчиками, ML-инженерами и владельцами продуктов Развивать специалистов, выстраивать процессы, участвовать в найме и обучении сотрудников новой специализации на пересечении аналитики, продукта и инженерии Требования Опыт работы с аналитикой: понимание задач аналитической функции, принципов продуктовой или бизнес-аналитики, работы с данными и аналитическими процессами Опыт управления разработкой и delivery: запуск проектов, управление ресурсами, постановка задач инженерам, ответственность за сроки и результат Продуктовое мышление: умение находить пользовательские проблемы, формировать гипотезы, приоритизировать инициативы и оценивать эффект от внедрённых решений Управленческий опыт: от года руководства небольшой командой (от трёх человек), умение организовывать работу и развивать сотрудников Сильный stakeholder management: опыт взаимодействия с разными функциями, согласования приоритетов и продвижения изменений в организации Будет плюсом Опыт внедрения AI/LLM-решений и автоматизации рабочих процессов Запуск внутренних платформ, инструментов или сервисов для сотрудников Опыт развития аналитической инфраструктуры и self-service-инструментов Работа на пересечении аналитики, инженерии и продуктового менеджмента Формат работы Москва/Санкт-Петербург Гибридный формат, ориентировочно два дня в офисе в неделю

Задачи: — Выполнение функционального и регрессионного тестирования мобильного приложения и веб-сайта, включая проверку пользовательских сценариев. — Контроль корректности отправки SMS: проверка содержания сообщений, условий отправки, кодов подтверждения и статусов доставки. — Тестирование SMS-шлюзов и интеграций с внешними провайдерами, выявление и анализ ошибок. — Сбор, анализ и согласование бизнес-требований. — Подготовка технических заданий для разработчиков с описанием функциональности, бизнес-логики и критериев приёмки. — Разработка и актуализация тест-кейсов и чек-листов, а также документирование ошибок. — Проверка реализованных доработок на соответствие техническим требованиям. — Написание SQL-запросов для получения данных, расчёта метрик и подготовки аналитической отчётности. — Контроль корректности сбора данных и анализ показателей работы цифровых сервисов. — Взаимодействие с разработчиками, бизнес-подразделениями и внешними поставщиками услуг. Условия: — График работы 5/2 с 10:00 до 19:00 по московскому времени. — Удалённая работа. Требования: — Опыт работы в тестировании программного обеспечения, системной или бизнес-аналитике. — Понимание принципов тестирования мобильных приложений и веб-сайтов. — Навыки сбора и структурирования требований, составления технических заданий и тестовой документации. — Уверенное владение SQL, включая написание запросов, объединение таблиц, группировку и агрегирование данных. — Понимание принципов клиент-серверного взаимодействия и работы API. — Опыт работы с инструментами тестирования API, такими как Postman или аналогичные. — Навыки анализа ошибок, подготовки выводов и контроля выполнения задач. — Внимательность к деталям, ответственность и развитые коммуникативные навыки. — Преимуществом будет опыт работы в микрофинансовых организациях, банковской сфере или FinTech-компаниях; понимание процессов оформления, выдачи и погашения займов; опыт взаимодействия с SMS-провайдерами и тестирования интеграций с внешними системами; опыт работы с инструментами веб- и мобильной аналитики.

Location: Berlin Workplace: Remote HEY THERE! Ready to put our brand in front of millions of people worldwide? We’re looking for a Data Analyst, Marketing to turn raw campaign and engagement data into decisions — telling us which channels, markets, and customers to target next. This isn’t a dashboard-building role. You’ll build robust data products, of course — but the real impact comes from the reporting and insight you deliver, and the incremental value that creates for the marketing team. Let’s shape the future of nutrition together and make Yazio the most successful nutrition app worldwide! This role is 100% remote and open to candidates based in Germany, Spain, Portugal, or the U.K. YOUR MISSION - Show our Performance Marketing team which campaigns to double down on — and which to scale back. - Partner with our CRM team to learn what messaging resonates with each user segment, then run experiments to measure the uplift. - Own the data transformation process, from raw channel and MMP data to curated, ready-to-use datasets in our self-service BI tool. - Define requirements with Data Engineering to ingest new data sources. - Work with the Analytics team to build a data-driven culture across Yazio. YOUR PROFILE - Hands-on experience with performance marketing data for a native mobile app, covering channel-level or MMP data (ideally both). - Solid grasp of attribution, incrementality, funnel and cohort analysis, plus marketing performance metrics like iROAS and CAC. - High proficiency in SQL and working knowledge of Python. - Solid experience in either analytics engineering (e.g., using dbt to transform data) or data science (e.g., geo-lift tests, holdout tests, A/B tests, media mix modeling). You don’t need both, but you should be strong in one. OUR CORE TECH STACK We use: - Snowflake as our core Analytics data warehouse. - dbt & Dagster to transform & orchestrate our data. - Growthbook to power experimentation. - Omni to provide self-service analytics. - Prefect to handle our ML workflows. WHY US? - An exciting product with millions of users in over 150 countries, driven by our mission to transform the world through healthy eating - A remote-first setup: work 100% from home, join a co-working space or work abroad for several weeks per year - 30 vacation days to relax and recharge, plus 5 child sick days if your little one needs you - A focus-driven culture that values efficiency over long hours — no overtime expectations, and if it happens, you get that time back! - A high-impact environment where your work drives real change — short decision-making processes and no micromanagement - A team culture where ambition and balance go hand in hand, supported by strong connections — from our fully covered company retreat to team meetups and virtual coffee breaks - Tools and support to do your best work: MacBook, monitor and €1,000 annual learning budget, plus regular feedback and career development - A truly international team with English as our company language and a shared commitment to growth and well-being — supported by Sunday Supplements and Nilo Health DIVERSITY AND INCLUSION At Yazio, we believe that diversity fuels innovation. We are committed to fostering an inclusive environment where everyone, regardless of gender identity, race, religion, age, sexual orientation or ability, feels valued and empowered. We celebrate different perspectives and actively encourage individuals from all backgrounds to apply. READY TO JOIN US? Excited to take Yazio to the next level and help people worldwide lead healthier lives? We’d love to hear from you! Please send us: - Your CV in English - A few lines (or a short video if you prefer) about who you are and why you want to work at Yazio - Any additional materials that showcase your work (e.g., LinkedIn profile, GitHub)