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Location: Northwest Atlanta About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to homebound and palliative care patients in the Atlanta, Georgia area on a full time basis. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around Atlanta County, GA. (Atlanta counties) Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the State of Georgia Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Compensation: $105,000- $145,000+ (depending on experience and other incentives) (full Time) Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

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: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. The role As a Data Science Manager in the Payments Performance pillar you will lead a team of smart and ambitious data scientists that drive the success of our machine learning solution for payment optimization. We are looking for someone passionate about building high-performing teams that consistently deliver value in a rapidly evolving area. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. Your leadership will be pivotal for translating complex problems into actionable roadmaps that ultimately impact millions of online shoppers worldwide.   How you’ll make an impact - Drive the roadmap and priorities for your team, and work with many leaders across the company to enhance our ability to deliver best-in-class performance, through ML. - Build the brain behind mission-critical products that make real-time decisions during the payment processing flow. - Collaborate with stakeholders across the organization such as engineering, analytics, operations and product. - Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers.   What we’re looking for - You have at least 2 years of direct management experience leading data science and ML teams in a complex domain. - Strong background as a Data Scientist (5+ years of proven experience) - You’ve managed teams that have built and shipped machine learning systems and data products at scale. - You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. - You thrive on a high level of autonomy and responsibility. - You foster a healthy, inclusive, challenging, and supportive work environment. - Growth mindset, always on the lookout for stretch challenges. - Excellent communication skills, ability to simplify machine learning concepts and data analyses for broad audiences. - Experience dealing with data from complex domains (FinTech, Fraud Detection or Payments Processing are a significant plus) - A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering) is considered a plus. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Athens, Greece About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. What you’ll be doing As a member of the Sales Support team, you will play a key role in providing ongoing support to ensure a smooth and high-quality experience to our merchant partners. This includes establishing effective communication channels, maintaining service standards, assisting partner growth through data-driven insights, and collaborating with internal teams to resolve urgent needs and share best practices. What you’ll be doing: Menu & Assortment Management – Leading updates and improvements to restaurant menus and retail assortments on the platform; Quality & Satisfaction Checks – Ensuring our portfolio of stores reach the highest Wolt service standards by conducting regular quality and satisfaction assessments; Training & Support – Training our partner venues on how to use Wolt’s Portal and equipment to operate effectively and independently; Sales & Operational Support – Assisting the Account Management and Merchant teams with partner-related administrative tasks, coordination, and performance-boosting initiatives; Equipment & Tech Management – Resolving technical issues related to merchant operations; Process Improvement – Identifying bottlenecks, suggesting improvements, and taking ownership of projects aimed at enhancing partner satisfaction and operational efficiency; Collaboration – Working closely with internal teams to ensure a seamless and high-quality experience for both new and existing partners, while staying agile as the company continues to grow. Our humble expectations: Detail-Oriented & Organized – You enjoy structure and keeping things running smoothly; Customer-Focused – Previous experience in customer service, administration, or sales support is a plus; Tech-Savvy – Comfortable working with digital tools and managing data; Great Communicator – You’ll be in regular contact with merchants and internal teams; Fluent in Greek & English – Both languages are essential; Bonus Points – Experience in the restaurant, retail, or e-commerce industry is a plus! Why you’ll love it 🚀 Global and growing fast: Be part of a fast-moving scaleup 🤩 Ride of a lifetime: Accelerate your career and build your sales skills 💪 Instant impact: Take ownership and make a difference 💙 Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙 The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. This position is not eligible for consideration for an equity/RSU grant. Pay Range: €1.120 — €1.120 EUR Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11732 E-commerce Digital Marketing Support Virtual Assistant Independent Contractor – CPT-11732 E-commerce Digital Marketing Support Virtual Assistant/Marketing VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. A U.S.-based direct-to-consumer company operating several brands, including dietary supplements and skincare products, is seeking a Marketing VA to assist with email marketing execution, Canva content creation, Shopify updates, and recurring digital marketing tasks. The VA will work primarily under the direction of the company's Digital Marketing Director, allowing the internal team to focus more on marketing planning and strategy while the VA handles day-to-day production. The ideal candidate will bring hands-on e-commerce marketing experience, strong Canva and email marketing skills, attention to detail, and the ability to follow established brand guidelines. All marketing content must be created without the use of generative AI, in accordance with the company's content policy. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Email & Digital Marketing Execution Create and prepare marketing email campaigns in Klaviyo using provided direction and approved materials Build email layouts, format copy, and organize promotional graphics Support scheduled email, SMS, and other approved customer communication campaigns Make revisions to campaigns based on marketing team feedback Review links, formatting, images, and other campaign details before submission for approval Maintain organized marketing assets and recurring production schedules Canva & Marketing Content Support Create and adapt graphics using Canva and existing brand templates Prepare promotional images, product visuals, and supporting marketing materials Work with client-provided photographs, videos, brand guidelines, and copy Adjust layouts and materials for different campaign formats Maintain consistency in visual presentation and brand messaging Develop all copy and creative materials without generative AI Shopify & Website Administration Update product photographs, banners, and routine website content in Shopify Assist with straightforward promotional and merchandising changes Review published website updates for accuracy and proper formatting Support routine e-commerce content maintenance as directed Flag technical issues requiring specialized development or management assistance Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Digital marketing execution or e-commerce marketing experience required Email marketing campaign creation experience required Experience managing and optimizing Meta (Facebook/Instagram) and TikTok advertising campaigns required. Canva proficiency required Strong written English and attention to detail required Klaviyo experience required Shopify content administration experience required Experience working with consumer brands preferred Familiarity with SMS or customer lifecycle marketing preferred Ability to follow brand guidelines and produce content without generative AI required Advanced graphic design, coding, and paid advertising management not required IDEAL CANDIDATE PROFILE Detail-oriented and dependable with marketing production tasks Comfortable working from direction provided by a Marketing Director Experienced with e-commerce content and email marketing tools Creative and proficient with Canva Strong written communicator with careful proofreading skills Organized with campaign deadlines and recurring responsibilities Comfortable following a strict no-generative-AI content policy APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Klaviyo – Required Shopify – Required Canva – Required Slack Google Docs / Google Workspace Email & Marketing Campaign Platforms Work Schedule Contracted Hours per Week: 30-40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: Flexible – TBD (Subject to client's approval) Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Marketing VA REQUESTED EXPERIENCE TIER LEVEL: Junior and Senior Level Contracted Hours per Week: 30-40 Hours/week Daily Working Time: Flexible – TBD (Subject to client's approval) Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A-C (Strong Written English Required) REGION PREFERENCES: Offshore What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

Location: Kyiv, Ukraine Hi! We are Boosta, a holding tech company that creates, develops, and invests in digital businesses with global potential. Today, we collaborate with over 800 specialists from different parts of the world, and millions of users use our products and services. We are currently looking for a Content Lead to join our partner company. What you will do: Shape, develop, and regularly adapt the project’s content strategy based on business goals and analytics data. Analyze content performance using analytics tools, identify effective and underperforming materials, find growth opportunities, and initiate relevant changes. Regularly track key content metrics, draw conclusions, and plan next steps to improve results. Organize and optimize content processes: build the workflow structure, assign tasks, and monitor their completion and adherence to deadlines. Manage the content team: prioritize tasks, track performance, identify issues in a timely manner, and help the team achieve its goals. Find, engage, and manage external contractors, monitoring the quality and timeliness of their work. Plan and manage content budgets: build the budget, justify expenses, and control spending. Control the quality of text and visual content, ensuring materials meet project standards. Ensure compliance with basic SEO requirements when creating and optimizing content. What we expect from you: 3+ years of experience working with content. Experience managing a content team, distributing workload, setting tasks, and monitoring results. Understanding of effective content principles and the ability to evaluate content performance based on data rather than subjective perception alone. Hands-on experience with analytics tools. Ability to work with content metrics, interpret analytics results, and make decisions on further content strategy. Skills in building, systematizing, and optimizing content processes. Ability to work in a structured way, plan, and follow established processes. Experience finding and managing external contractors. Experience planning and controlling budgets. Basic understanding of SEO: working with keywords, internal linking, alt tags, and other SEO content optimization principles. Excellent written communication skills and the ability to independently create and edit high-quality texts. Strong visual taste, understanding of quality design principles, image selection, and content formatting. Strong communication and organizational skills, responsibility, proactivity, and a results-oriented mindset. Your journey with us: Step 1: Pre-screen and portfolio review. Step 2: Interview. Step 3: Additional interview (if needed). Step 4: Job Offer!

Location: Salisbury, MD About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to homebound and palliative care patients in the Wicomico County, MD region on a part time basis (2-3 days/week). You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around Wicomico County. Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the state of Maryland Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Compensation: $115,000- $140,000+ (depending on experience and other incentives) (Full Time) Part-time providers are paid per visit. #Orange Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Stevensville, MD About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Advanced Provider (Nurse Practitioner or Physician Assistant) to provide primary care to homebound and palliative care patients in the Queen Annes County, MD region on a part time basis (2-3 days/week). You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around Queen Annes County. Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the state of Maryland Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Compensation: $115,000- $140,000+ (depending on experience and other incentives) (Full Time) Part-time providers are paid per visit. #Orange Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: United States - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. What you'll do As a Senior Software Engineer, you will: Architect, build, and maintain features related to digital assets across MetaMask Clients, including ERC-20 tokens, NFTs, Token Lists, and Token Detail Pages Develop and support core wallet controllers that manage asset state and data throughout the MetaMask ecosystem Expand asset support to include emerging standards such as Real World Assets (RWAs) Help create intuitive, efficient, and secure Web3 interactions that delight users Collaborate with product managers, designers, and other engineers to deliver high-quality features Participate in code reviews and help maintain high code quality standards Requirements: 3+ years working with mobile-based technologies 3+ years building websites and/or applications Experience with React and React Native Strong knowledge of modern Javascript (ES6/TypeScript/etc.) Familiarity with blockchain fundamentals and Web3 integration Working knowledge of cross platform/browser compatibility Experience working with APIs and middleware services Experience working in an agile development team Experience developing applications with clean code practices, testing, and adherence to coding standards Understanding of web-based security considerations Bonus Points: Experience with token standards (ERC-20, ERC-721, ERC-1155, RWAs) and token list management Experience with DeFi protocols, token swaps, or fiat on/off ramps Knowledge of financial products in the digital space Interest in blockchain technologies and Web3 Basic understanding of cryptography principles Experience working in distributed teams Previous experience working in Web3 Familiarity with the Web3 wallet ecosystem Experience with performance optimization Other skills to demonstrate: Good verbal and written communication in English Teamwork, flexibility, and organization Eagerness to learn and grow your technical skills Ability to balance technical quality with business needs and user experience Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role. The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $139,000 — $210,000 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.

Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Location: Timisoara, Romania About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Are you eager to elevate your HR career within an innovative global tech company where your contributions have a tangible impact? Welcome aboard! We're in search of dynamic, diligent HR enthusiasts eager to help us take the Wolt employee experience to the next level. If you're driven by the challenge of navigating the complexities of HR and aspire to make a meaningful difference in team members’ lives, your search ends here! The People Team at Wolt consists of about 200 HR, Talent, Tech, Payroll and Talent Acquisition professionals located in Helsinki, Budapest, Copenhagen, Berlin, Tel-Aviv, Athens, Tbilisi, and more. We’re a global People function, well-respected by the people and teams that we support and partner with. We’re looking for our next HR Operations Specialist, based in Timișoara, Romania. You’ll provide reliable, responsive HR support across our Romanian entities, covering employee administration, payroll coordination, employee relations, and local compliance. What you’ll be doing You’ll manage assigned HR processes and cases, working closely with internal partners and external providers. You’ll also help maintain compliant, accurate records and improve the way we support our people. Day-to-day in this role you’ll: Respond to Romania-specific and escalated HR enquiries, guiding employees and managers on employment terms, policies, leave, benefits and payroll. Coordinate onboarding and approved exits, prepare employment documents and maintain personnel records and updates across Workday, payroll and REGES-ONLINE. Validate payroll inputs, investigate discrepancies and administer leave and benefits with payroll teams and providers. Manage assigned employee relations cases, including grievances and disciplinary matters, and support performance processes in collaboration with People Partners and Legal. Maintain accurate HR data and reports, coordinate service providers and help improve local HR processes and guidance. Our humble expectations You’ll bring practical HR experience and sound judgement to support employees and managers across Romania. At least 3 years of experience in HR operations, personnel administration or an HR generalist role, including practical experience with Romanian employment processes. Strong knowledge of Romanian employment legislation, payroll processes and statutory reporting requirements. Confidence using HR systems and Excel, including working with data and preparing reports. Strong organisation, attention to detail and the ability to prioritise, solve problems and handle confidential information with discretion. Excellent Romanian and English communication skills, with the ability to work with employees, managers and other stakeholders. What we offer Our benefits in Romania include: Meal vouchers for eligible working days. A private medical subscription with Regina Maria. Group life insurance to provide financial support to your beneficiaries. A wellbeing benefit to support an active and healthy lifestyle. Access to Bookster for books and learning resources. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Paris Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Healthcare Sites Development Manager People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: 🎯 What drives us — We're obsessed with helping our members live healthier - Mission is the Boss: long-term thinking, seeking our mission success above all else. - Member & customer-led: obsessively focused on solving members & customers problems and creating the most delightful experiences. 🏆 How we build excellence — We hire the best people and give them platform to succeed - Champions of excellence: extremely high standards and talent density. - Distributed ownership: accountable enlightened despots, everyone owns their decisions and results. - Radically transparent: all information is accessible and written-first, so everyone can make the best decisions asynchronously. 🤝 How we grow together — We help each other improve through honest feedback and bold thinking - Optimistic alchemy: optimists who collaborate with genuine care and support teammates. - Empathetic challengers: direct, caring feedback combined with praises to help each other grow professionally. - Bold & creative contrarians: think differently to achieve greatness, try new approaches. ⚡ How we move fast — We fight complexity and focus on what matters most - Disciplined in execution: taking decisive actions with focus that compounds success over time. - Fight for simplicity: only high impact processes, smart frugality. 💡 The Missions Prévenir is a new Occupational Health and Prevention Service (SPSTI) in Île-de-France, built to rethink occupational health with Alan's technology, for the benefit of employees and of healthcare professionals (HPs). Its first medical centre opened at Valmy (Paris 10th) in April 2026, and 4 sites are already running. Prévenir is about to scale fast: the ambition is to open several new small centres around Paris in 2027 (Seine-et-Marne, Val-d'Oise), first inside ready-to-operate sites, then in premises of its own (rented or bought), including a flagship centre in Paris. The exact plan is still being shaped, and you will help shape it. We are looking for someone senior and visionary enough to carry the vision and strategy of Prévenir's sites from day one, while being happy (and excited) to be hands-on as much as needed, with a start-up mindset. Health, member experience and innovation are at the heart of the role. You would join Alan as a full-time Alaner in the Workplace team: you work for Alan, not only for Prévenir. At first, most of your time goes to Prévenir: opening new sites, making them compliant and ready for patients with a real Prevenir's spirit, running the centres day to day with the center managers, and building the vendors, budgets and playbook that will let it grow from 4 to many more sites. Prévenir is a separate entity from Alan: it signs its own leases and contracts, and you prepare, negotiate and advise on its behalf. You will work alongside the Facility Manager in charge of Alan's offices at Valmy, and turn what you learn into playbooks, checklists and templates (openings, fit-out, vendors, compliance) that serve Prévenir's centres as much as Alan's own offices. The position is based in Paris, with regular field visits across Île-de-France (Paris, Seine-et-Marne, Hauts-de-Seine, Val-d'Oise), and requires an onsite or field presence at least 4 days per week. 👀 More specificities on the profile we're looking for (level range targeted on our level grid: C1-D) Detailed missions Set the vision - Define and carry the vision and strategy for Prévenir's sites from day one: site model, technical and experience standards, and a 2–3 year real-estate roadmap, alongship Prévenir's and Alan's leadership and kept up to date as the plan evolves - Bring innovation: test new centre formats (shared, modular or temporary sites), and have a smart use of AI to make each opening faster, cheaper and better for HPs and patients Open and build new sites - Find and technically qualify new sites: define search criteria with the Occupational Health team, visit candidate sites, and give a clear go / no-go recommendation with an estimated cost - Open small centres inside ready-to-operate sites: check that the host site works for medical use, agree the terms with the host operator (services, charges, service levels, who does what), do the light set-up and prepare the opening - Prepare and negotiate leases with Legal and Finance, and be the single operational point of contact for landlords, architects and vendors - When relevant, lead fit-out works end to end: brief and manage architects, project managers and contractors, plan backwards from the opening date, secure administrative and safety authorisations, manage acceptance and close snags - Contribute to the rent vs buy thinking by providing technical due diligence on any potential acquisition (condition of the building, works to expect, regulatory constraints, running costs) Make every centre medical-ready, unique, safe and healthy - Make every site ready for patients: consultation rooms, patient flows, confidentiality (acoustics), hygiene and cleaning, medical waste, hand-washing points, IT / network and badge access set up with the IT team - Own the safety and security of every centre, for patients, HPs and visitors: access control, intrusion alarms and video surveillance where relevant (in line with GDPR), fire safety, evacuation procedures and drills, first-aid kits and defibrillators where required, and clear procedures for incidents and for HPs working alone - Put prevention at the heart of the run: identify the main risk areas of each centre (fire safety, HVAC and air quality, water, electrical, access control), build and run the preventive maintenance calendar, plan the mandatory periodic checks and keep each site's safety register up to date Run the centres day to day - Run the day-to-day for existing and new centres with the center managers (ASSTs): sort and diagnose requests, fix what can be fixed, send the rest to the right contractor, and follow each intervention until it is done and checked - Own the logistical run of the centres in partnership with the center managers: supplies, snacks, mail, printing, small furniture and IT equipment, access and badges, cleaning. Agree a clear split of who does what and give them simple routines, checklists and documentation so they become autonomous - Create and keep alive the Prévenir spirit in every centre, as the Workplace team does for Alan its own offices: a welcoming, consistent and on-brand place for HPs, ASSTs and patients, using their feedback to keep improving it Manage vendors, budgets and playbooks - Build a standard vendor panel (maintenance, fire safety, cleaning, medical waste, access control, furniture) with SLAs, penalties and exit terms. Run tenders and invoice checks, and reuse contracts across sites - Own the budget with Finance and the Occupational Health team: capex (fit-out, equipment, furniture) and opex (rent, charges, maintenance) per site, monthly follow-up, and realistic figures to feed the medical centres business model - Track, improve and document: run a simple dashboard (open requests, intervention times, openings progress, budget), keep the equipment inventory and maintenance log, automate repetitive follow-ups with AI and tools, and write the opening playbook and technical checklist reused for each new site Be a full member of the Workplace team - Take part in the team's rituals and priorities, work with Alan's Workplace scope and join the on-call rotation (daily Office Management tasks) Key outcomes by 1 year - A vision and a 2–3 year real-estate roadmap for Prévenir's sites are shared and approved by Prévenir's leadership and Alan within the first 3 months, and kept up to date - Existing centres are under control: contracts, leases, mandatory checks, equipment, open requests and risks are mapped and documented, with no missed regulatory check or expired contract - Preventive maintenance plans and safety registers are live on every centre, with at least 3 prevention areas identified, each with an action plan and KPIs - One single channel logs and tracks requests from the centres, each with an owner and a deadline; resolution time is measured and decreasing; a dashboard tracks requests, openings and budget; at least 3 recurring tasks are automated - The new centres planned for 2027 open on time, with safety, accessibility and authorisations validated before the first patient and a budget under control - A replicable opening playbook, a building technical checklist, a standard vendor panel and standard contract templates are in place and reused across sites - Every centre feels like Prévenir, is safe and secure (access control, alarms and emergency procedures in place and tested, drills done on time), and is healthy. - At least one innovation (new centre format, building tech or AI use case) has been tested in a centre, with clear results on cost, speed or HP and patient experience You may be a great fit if you are: - A multi-site Facility / Technical Manager (6–10 years of experience) in a network of regulated, public-access sites: clinics, medical or radiology centres, labs, dental or health-centre networks, nurseries, fitness, retail networks - A real-estate project manager in charge of network expansion and site openings, with a real sensitivity to the run - A head of technical services of a clinic or private hospital who wants to move to a growth environment - A works / fit-out project manager (chef de projet travaux, maîtrise d'ouvrage) with strong ERP experience and some maintenance and run exposure - A site or contract manager at an FM service provider (healthcare accounts) who wants to move in-house, or a Workplace / Facility Manager in a scale-up who has led several office openings or moves What we're looking for - Solid technical understanding of buildings: HVAC, electrical, plumbing, fire safety systems, doors and access control, and the ability to challenge a technician or an architect - Proven experience of opening or fitting out sites: works follow-up with architects, project managers and contractors, planning, acceptance, snags - Knowledge of the French regulatory framework for public-access buildings (ERP classification, safety commission, works authorisation, accessibility, mandatory periodic checks, safety register) - Good knowledge of site safety and security: access control, intrusion alarms, video surveillance (and related GDPR rules), evacuation and emergency procedures, incident management - Lease and landlord management: you can read a lease, understand who pays and does what, and negotiate with landlords and agents - Proven vendor and contract management (SLAs, penalties, price indexation, tenders, invoice control) and budget ownership (capex / opex per site, total cost of ownership) - Project management of several sites in parallel, with strong prioritisation, including urgent incidents - Ability to work with senior and varied stakeholders: HPs and doctors, directors, Legal, Finance, IT, landlords, architects - Senior enough to set a vision and a strategy, and to carry and defend it with Prévenir's leadership and Alan, with a start-up mindset: frugal, fast, comfortable building from scratch with changing priorities, and happy to be hands-on - Exceptional communication in French (fluent) and professional English - A member-first mindset: you think about the HP, patient and Alaner experience, not the process - Appetite for digital tools, AI and basic automation to reduce repetitive work, and the ability to document in a way the whole team and AI agents can leverage - Mobility across Île-de-France (Paris, 77, 92, 95 and more) - Visionary and hands-on, autonomous and proactive, at ease with ambiguity while the plan (number of sites, rent vs buy, timing) is still evolving, calm when things don't go as planned, and discreet and respectful of the medical environment Nice to have - Experience of medical, paramedical or health-related sites (centres de santé, clinics, labs), including ERP type U requirements - A technical diploma or certification (BTS / DUT in building maintenance or energy, SSIAP) and electrical habilitation - Experience of a technical due diligence on a building purchase, or of a sale-and-leaseback / long-lease structure - Experience with indoor air quality or energy-efficiency projects - Experience using a CMMS / GMAO tool, or building one with no-code tools - Extensive experience leveraging AI to build scalable processes or automate recurring tasks - Prior experience in a high-growth company or scale-up, ideally in a network-expansion context   🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Transport. Country-specific commuter benefits. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Fair rewards. Generous equity packages complement your base salary. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family. - Parental leave. Extended parental leave for all new parents.   IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico Workplace: Remote Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones) Start Date: ASAP Languages: English Team: Engineering ABOUT THE ROLE Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand. We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents. This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation. This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring. WHAT YOU'LL DO - Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case. - Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods. - Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation. - Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts. - Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields. - Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards. WHAT WE'RE LOOKING FOR - Strong proficiency in Python, and experience building reliable production data or machine-learning systems. - Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content. - Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility. - An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate. - High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes. - Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap. - Clear written and spoken English, and comfort collaborating across teams and time zones. - Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production. - Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above. WHY THIS ROLE MATTERS FOR YOU - Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets. - Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need. - From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation. - Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets. - San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring. Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

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: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Log in using your 20four7VA-issued email address to access the portal. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: CPT-11729 Social Media Community Engagement & Outreach Virtual Assistant Independent Contractor – CPT-11729 Social Media Community Engagement & Outreach Virtual Assistant/Marketing VA/Entry-Junior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. We are looking for a proactive and organized Social Media Community Engagement & Outreach VA to help increase the client’s visibility and build relationships within the local real estate community. The VA will focus primarily on engaging with relevant Facebook and Instagram posts, interacting with real estate professionals, and maintaining consistent, meaningful online activity. Content creation, research, and analytics will be secondary responsibilities. The ideal candidate is personable, professional, detail-oriented, and able to track and report daily activities accurately. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: 1. Community Engagement and Interaction Monitor relevant local real estate posts, discussions, and community updates on Facebook and Instagram. Write meaningful, personalized, and professional comments that encourage conversations and build relationships. Engage with real estate agents, brokers, industry partners, and relevant community members to increase the client’s visibility. Prioritize genuine interactions and consistent daily engagement over content creation. Engage with local real estate professionals’ personal and business posts, including property listings, open houses, successful closings, birthdays, and other personal milestones. Write warm, conversational, and personalized comments that reflect the client’s personality and help the audience see the business as approachable and genuinely involved in the community. Participate in relevant community group discussions about mortgage financing, rental properties, church financing, and other real estate-related funding opportunities. Ensure comments are contextually appropriate and directly relevant to the post. Avoid generic, repetitive, or mismatched responses that could make the client appear inattentive or unprofessional. Prioritize authentic community presence and relationship-building rather than aggressive lead generation or sales-focused interactions. 2. Local Network Visibility and Relationship Building Identify and engage with relevant local real estate pages, groups, agents, and potential partners. Maintain an updated list of relevant sources for daily engagement and outreach. Respond to relevant comments and continue conversations when appropriate. Support the client’s visibility and relationship-building efforts within the local real estate community. Engage with real estate agents and trusted industry contacts already followed by the client, as well as relevant community groups where potential clients and industry members discuss real estate and financing concerns. Support visibility across the client's two business pages, which serve different markets: residential mortgage financing for primary homes and business-purpose financing for rental properties and other commercial properties. Identify relevant opportunities to interact with people discussing financing needs and invite them to contact the client privately for more information or a customized quote. Maintain a consistent, personable presence that reinforces the client's identity as a real person and an approachable mortgage professional within the local real estate community. 3. Social Media Monitoring and Content Execution Monitor the client’s Facebook and Instagram pages for comments, messages, and engagement opportunities as assigned. Create social media captions and simple graphics based on client-provided ideas, materials, and approved messaging when requested. Publish or schedule approved content according to instructions, deadlines, and posting schedules, prioritizing time-sensitive posts. Review content before publishing to ensure accuracy, relevance, professionalism, and compliance with client guidelines. Review the client's existing scheduled posts and published content, and add appropriate tags to relevant real estate contacts or business partners when applicable. Engage with comments and interactions on the client's own Facebook and Instagram posts, in addition to engaging with external community and industry posts. When responding to financing-related questions, use information, approved talking points, and scenario-specific guidance provided by the client to ensure comments accurately represent the client's services and available financing resources. Avoid providing specific interest rates, monthly payments, loan terms, or eligibility assurances without reviewing the individual's circumstances and receiving the appropriate information from the client. When a financing inquiry requires a more detailed assessment, encourage the individual to send a private message or contact the client directly for a customized discussion or quote. Focus on community engagement rather than taking over content creation, as the client currently has a separate resource handling the content calendar and post creation. 4. Activity Tracking, Reporting, and Accountability Maintain a daily log of meaningful comments, interactions, follow-ups, and outreach activities, including direct links as evidence. Record working hours accurately and categorize time according to tasks performed. Submit concise daily updates summarizing engagement activities, sources contacted, time spent, and outstanding concerns. Communicate questions, blockers, and changes in priorities proactively. Ensure reported work aligns with documented activities and outputs. Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Experience in social media management, community engagement, or online outreach. Strong written English and the ability to write natural, professional, and personalized comments. Familiarity with Facebook and Instagram, preferably for business or real estate purposes. Good research and organizational skills, with the ability to identify relevant local real estate contacts and communities. Strong attention to detail and consistent follow-through. Ability to work independently, follow instructions, and maintain accurate activity records. Understanding of professional online communication and appropriate engagement practices. APPLICATIONS AND TOOLS REQUIRED Facebook: For community engagement, monitoring, and relationship building. Instagram: For engaging with relevant local real estate accounts and monitoring interactions. Social Media Scheduling Tools: Familiarity with scheduling and publishing tools, if required by the client. Tracking and Reporting Tools: Ability to maintain activity logs, record working hours, and provide daily updates using spreadsheets or other client-designated tools. Work Schedule Contracted Hours per Week: 10 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: Flexible-EST Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Marketing VA REQUESTED EXPERIENCE TIER LEVEL: Entry, Junior Level Contracted Hours per Week: 10 hours/week Daily Working Time: Flexible-EST Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A–C (Good English comprehension, communication, speaking, and writing skills) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!