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Location: Lancaster, PA 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! Ennoble Care believes giving care is an Honor We are looking for a compassionate, dedicated Full-time Certified Nursing Assistant (CNA) to join our growing Hospice Company for ou r Lancaster, PA region. Duties The caregiver (CNA) will be responsible for: Care for census of 5-6 patients Provides or assists in ADL activities; personal hygiene, grooming, mouth, skin care and nails. Provides assistance in toileting, positioning and transfer activities, frequent turning and positioning of a bed bound resident/patient. Assists with the prescribed exercise and ROM activities which the resident/patient and Hospice aide have been taught by the Hospice Nurse. Assists with light housekeeping of individual's personal unit or room, including changing of bed linen and patient’s laundry. Feeds and assists with meals. Reports any changes in resident's/patient's condition to the Nurse Qualifications: Must have a valid PA CNA. Valid Driver’s License and reliable mode of transportation Authorized to work in the United States Pay Range: Starting at $19.75/hour #blue 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: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Businesses need a clear, reliable way to work with their vendors, from collecting information during onboarding to keeping vendor records accurate as they purchase and pay. Vendors need a straightforward way to provide details and stay connected with the businesses they serve. Ramp’s Vendor Management & Portal team builds the systems behind those experiences. We’re looking for a Senior Backend Engineer to make vendor information easier to collect, connect, and use across Ramp. You’ll work on services that support vendor profiles, onboarding requests, and the vendor portal, where identity, permissions, and data accuracy matter. You’ll own meaningful projects from design through launch and partner with product, design, and other engineering teams to make these workflows dependable for both businesses and vendors. WHAT YOU’LL DO - Design and build backend services and APIs for vendor profiles, onboarding, and portal workflows. - Improve how vendor records and portal accounts are matched and connected, reducing duplicate work and making shared information more reliable. - Build workflows for collecting and updating vendor information, including payment and tax details, with clear permissions and accurate data handling. - Make vendor data available consistently across the products that depend on it, including procurement and bill pay. - Own projects from problem definition and technical design through launch, monitoring, and iteration. - Raise the quality of the team’s systems through thoughtful design reviews, code reviews, and mentorship. WHAT YOU’LL NEED - Experience designing, building, and operating production backend systems, including APIs, data models, and asynchronous workflows. - Strong judgment about data integrity, access controls, reliability, and the tradeoffs involved in evolving existing systems. - A track record of independently leading complex engineering projects from design to production. - Product sense and curiosity about how businesses and vendors actually use the workflows you build. - Clear communication and a collaborative approach to working across engineering, product, and design. NICE TO HAVES - Experience with vendor management, procurement, accounts payable, or other business finance workflows. - Experience with identity matching, deduplication, or sharing data safely across accounts and products. - Experience improving operational visibility and reliability in systems that handle sensitive business information. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 814,000 - SEK 1,017,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In Germany, the base compensation range for this role is € 100,000 - €125,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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

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

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applications from the UK, Ireland, Sweden, Spain and Germany. The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In the UK, the base compensation range for this role is £94 ,000 - £118,000 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Munich, Germany Workplace: Remote Artificial Intelligence. Actual Impact. At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses. We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive. So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops. 🚀 THE ADVENTURE AHEAD Step into the driver’s seat of customer transformation as our next Technical Deployment Manager, where no two integrations or customer journeys look the same! In this hybrid technical-consulting role, you will be the architectural backbone and trusted advisor guiding global organizations through complex onboarding milestones, bespoke workflows, and seamless platform connectivity. You'll bridge the gap between high-level customer vision and deep technical execution, directly unlocking the full power of Docebo’s AI-driven learning suite for enterprise teams around the globe. If you love solving technical puzzles, building automated workflows, and delivering tangible "aha!" moments to customers, your next big career adventure starts right here. 🛠️ THE DAY-TO-DAY - Lead the Charge: Partner directly with diverse, global enterprise clients to translate ambitious business objectives into crystal-clear technical success criteria and project roadmaps. - Architect the Integrations: Design, configure, and troubleshoot robust API workflows and enterprise product add-ons, including Single Sign-On (SSO) and web conferencing tools. - Automate the Magic: Build cutting-edge data transfer workflows and third-party platform connections via Docebo Connect using Workato-powered middleware technology. - Unlock Deep Insights: Craft and deploy custom SQL queries directly into customer platforms to deliver actionable, high-impact reporting. - Bridge the Strategy: Collaborate seamlessly across Sales Engineering, Professional Services, and Customer Success to keep cross-functional stakeholders aligned and projects on budget. - Pave the Trail: Produce and refine top-notch technical documentation and deployment best practices that turn complex configurations into repeatable wins. - Navigate the Horizon: Proactively uncover, quantify, and mitigate technical risks early to guarantee smooth, friction-free onboarding experiences every time. ⚡ YOUR SUPERPOWERS - Consulting & SaaS Savvy: Proven track record in customer-facing SaaS environments (2+ years) with solid grounding in software implementation and technical consulting (4+ years relevant experience overall). - Technical Chops: Hands-on experience working with REST APIs, testing web services with HTTP clients like Postman, and a working foundation in SSO protocols and SQL. - Integration Fluency: Working knowledge of automation middleware platforms (such as Workato, Zapier, or MuleSoft) with an aptitude for building clean data flows. - Curiosity & Fast Learning: A boundless appetite for mastering new technologies, digging deep into platform mechanics, and evolving into a go-to Docebo product authority. - Customer-First Communication: Exceptional relationship-building skills with the ability to ask the right questions, understand nuanced needs, and turn technical jargon into clear business value. - Global Fluency: Professional bilingual proficiency in both spoken and written English and German, paired with an openness to travel occasionally (10% or less). 🌟 BONUS POINTS - Identity & Code Expertise: Advanced experience with SAML or OpenID Connect, alongside hands-on coding ability in at least one modern programming language. - Enterprise Ecosystem Know-How: Background navigating large-scale enterprise deployments and integrating complex HRIS, CRM, or enterprise calendar ecosystems. - Multilingual Flair: Professional working proficiency in additional languages such as Italian, French, or Spanish. OUR TOTAL REWARDS PHILOSOPHY 🎉 Our Total Rewards Philosophy centers around three core areas to reward and care for our People: - Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success. - Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being. - Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.   OUR PROMISE TO YOU 😍 - Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package. - Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it. - Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off! - Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025! - Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.   ABOUT DOCEBO 💙 At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.   Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law. As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities. Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.

Location: United States Workplace: Remote Coder is hiring a Senior Product Manager to own Workflows and Integrations, two of the newest surfaces in Coder Agents. You'll take charters that are close to a blank page and give them a strategy. Workflows is the automation layer for the AI software development lifecycle. It owns how the development work a team repeats every day becomes something agents run for them, and how our users author, reuse, and share those automations. Integrations is the connective tissue that lets our agents reach outward and outside tools reach in. First-party product integrations such as Slack and Linear, connectors to the external tools our customers already run, and the API and auth work that makes each of those feel like a first-class part of the product. You'll define vision and strategy where it's still nascent, then bring enough structure to scale without slowing momentum. You'll partner closely with engineering, design, and go-to-market teams to ship and measure impact. We're running lean on process by design, so expect to build judgment, not bureaucracy. What you'll do here - Own the full product lifecycle for Workflows and Integrations, from incubating ideas through GA and into ongoing scale, including the sequencing between the two. - Define and evolve product vision and strategy for both charters, synthesizing customer, market, and business signals into a clear roadmap. - Define what development work is worth automating first, and what it takes for a team to trust an agent to run it unattended. - Own the integration surface as a product: which third-party tools our agents can reach, and what partners need to build against us. - Research customer problems through direct engagement with enterprise accounts, community feedback, and ecosystem analysis. - Bring just enough structure to move fast without losing rigor: strong problem statements, crisp requirements, clear execution. - Lead high-stakes customer conversations, including executive roadmap reviews, product demos, and enterprise stakeholder discussions. - Collaborate with PMM to shape licensing, packaging, and pricing decisions that support these surfaces' path to sustainable growth. What we're looking for - 5+ years of experience building software products end-to-end, with clear customer and business outcomes, at least three of them on developer-facing or infrastructure products. - You've built products where developers or platform and DevOps operators were the adopting users. Developer platforms, CI/CD, workflow and orchestration systems, API and integration platforms, infrastructure-as-code, or cloud infrastructure. - You've taken an agentic or LLM product to production, and can talk concretely about tool design, evaluations, and the ways your agents failed. - You've owned a platform, API, or extensibility surface that other people built on top of, and you understand the versioning, auth, and governance trade-offs that come with it. - Proven experience taking a product from zero to GA, setting direction where little exists yet. - Experience shipping into enterprise engineering organisations, where the adopter is a developer and the buyer is a platform or engineering leader. - A strong technical foundation that lets you collaborate credibly with engineers and make informed trade-offs. - Proven ability to operate independently and set the agenda with minimal oversight. - Willingness to travel occasionally for customer and industry engagements. Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Experience with automation or orchestration products such as CI systems, data pipelines, RPA, or agent frameworks. - Experience with pricing strategy, licensing models, onboarding funnels, or open-core business models. - Experience across both startup and larger-scale organizations. - Comfort representing Coder externally through talks, writing, or other public channels. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: United Kingdom Workplace: Remote You'll make Coder easy to buy, deploy, integrate, and operate at the world's largest organizations. Partnering with another Product Manager in the Enterprise Experience theme, you'll help enterprises confidently adopt safe, secure, and governed development environments for humans and AI agents alike. You'll co-own the strategy for making Coder a first-class citizen in complex enterprise ecosystems. You'll work with engineering, security, sales, and customer-facing teams to turn enterprise challenges into product capabilities, removing barriers to adoption and ensuring Coder scales reliably in demanding environments. What you'll do - Co-own the Enterprise Experience charter with another Product Manager, sharing responsibility for strategy, prioritization, execution, and outcomes - Define and evolve the product strategy for enterprise readiness, turning customer needs and market expectations into a clear roadmap - Identify and eliminate technical, security, compliance, and operational barriers preventing enterprises from adopting Coder - Shape how Coder is deployed and operated at scale, including reference architectures, high availability, upgrades, and lifecycle management - Drive integrations with enterprise systems for identity, access management, application lifecycle management, reporting, and collaboration - Translate enterprise security, compliance, and governance requirements into product capabilities that enable safe development for humans and AI agents - Engage directly with enterprise customers and field teams, distinguishing recurring product needs from one-off requests - Lead strategic customer conversations, including executive roadmap reviews, technical evaluations, and enterprise deployment discussions What we're looking for - 5+ years building software products end-to-end with clear customer and business outcomes, including at least 3 years on developer-facing, infrastructure, or enterprise platform products - Experience building products for enterprise IT, platform engineering, DevOps, or security teams - Understanding of how large organizations evaluate, procure, deploy, and operate software - Familiarity with enterprise infrastructure concepts such as Kubernetes, cloud and hybrid deployments, high availability, authentication, authorization, and lifecycle management - Experience translating enterprise security, compliance, or regulatory requirements into practical product capabilities - Understanding of enterprise integrations, interoperability, and the trade-offs between security, compatibility, and maintainability - Experience working with enterprise engineering organizations where developers are the users but platform engineering, IT, security, and leadership influence purchasing decisions - Strong technical foundation enabling credible collaboration with engineers and architects - Ability to operate independently, collaborate effectively with other PMs, and drive complex initiatives with minimal oversight - Willingness to travel occasionally for customer and industry engagements Bonus tacos if you have (Tacos? Ask us how we say thanks by giving tacos!) - Experience with security and compliance frameworks such as SOC 2, ISO 27001, FedRAMP, HIPAA, or GDPR - Hands-on familiarity with Kubernetes, infrastructure-as-code, or enterprise deployment architectures - Experience building products for regulated industries such as financial services, healthcare, or government - Familiarity with air-gapped environments, sovereign AI, data residency, or self-hosted AI infrastructure - Experience with enterprise procurement, technical sales enablement, or complex customer evaluations ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: Remote Ireland; Remote, Austria; Remote, France; Remote, Germany; Remote, Netherlands; Remote, Spain; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer. You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers. Why this role exists Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability. Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused. What you’ll do Product contribution Contribute production-quality code to GitLab’s product and adjacent systems. Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work. Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability. Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations. Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns. Strategic technical stewardship Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff. Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture. Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering. AI adoption and agentic software development lifecycle Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers. Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations. Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements. Thought leadership Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach. Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab. Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability. What you’ll bring Staff-level experience building, operating, or improving complex production software systems. Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security. Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems. Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments. Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. The ability to coordinate across product, engineering, field, and customer teams without formal authority. Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization. Strongly preferred qualifications Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed. Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools. Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior. Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents. A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems. Experience working in open source or highly asynchronous engineering environments. Technologies and domains Directly relevant technologies and domains include: Ruby on Rails Go AI-assisted development and the agentic SDLC PostgreSQL Redis and Sidekiq Git internals GitLab CI/CD and Runner architecture Kubernetes and containers Terraform Linux, networking, observability, and performance analysis Vue and TypeScript APIs and automation DevSecOps governance, security, and compliance What this role is not This role isn't: A generic field engineering role. A proof-of-concept factory. A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering. A customer-specific customization function. Unbilled Professional Services. A requirements-gathering role that only escalates to Product. An AI evangelism role disconnected from product execution. Success measures Success in this role may include: Stabilizing strategic customer adoption or retention risks. Fixing product bugs or contributing features. Removing AI adoption blockers for strategic accounts. Creating reusable implementation patterns and transitioning them to long-term owners. Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives. Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering. Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field. Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts. About the team The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency. Ideal candidate profile You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome. You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership. We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team assess your application. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Fort Mill, South Carolina General Summary As a Loan Originator with Envoy Mortgage we provide you with a high standard of service, support and tools, with one goal in mind -- Improving Lives! By listening to our originators and leveraging our teams and resources, we create a work environment poised for success while remaining a competitive lender and employer in the mortgage industry. Through this business approach Envoy Mortgage has been awarded Top Mortgage Employer by Mortgage Professional, 50 Best Companies to Work for by Mortgage Executive Magazine, and the Top Tech Housing Award many years running. Come join us, and be part of a team where your success, is our success! General Summary The Loan Originator provides residential mortgage loans and generates leads to increase production. The Originator obtains purchase and refinance mortgage loans in accordance with established company policies and procedures and industry guidelines by calling upon realtors; builders; past clients and referral partners; while providing strong communication and support to management, production staff, underwriting, and customers. Duties and Responsibilities The primary job duties and responsibilities of this position include but are not limited to: Promote Envoy's products to Real Estate Agents, Home Buyers, other lead sources and all referral sources. Prospect & procure new loan applications by meeting with and presenting products to potential referral sources such as realtors, CPAs, financial planners and past clients that result in funded loans Educate borrowers on current offerings and programs for which they qualify Ensure all marketing is performed in a manner that is compliant Create & maintain data from new loan applications and other documents in origination system Reviews loans in process daily and determine priorities Performs document audit and resolves exceptions to approve (or reject) loan packages for funding Receive & process Change of Circumstances (CoC) and resubmit loan package, ensuring compliance with Fannie Mae and Freddie Mac Re-disclose all new loans when there is a Change of Circumstance (CoC) Generate and distribute Decline/Rejection letters to borrows not meeting minimum requirements, in compliance with industry guidelines and regulations Authorize and/or order credit reports, appraisals, flood certifications, and title work Defers loans that do not meet basic standards to Underwriter Provides follow-up on a consistent basis with internal staff, borrowers, and agents to complete processing Analyzes loan files and submits completed loans for approval Responds to inquiries from agents/referral partners and borrowers regarding status of loans in process. Maintains status of all files in process and updates as needed; keeps abreast of all FHA, VA, and conventional guidelines and changes that may affect loan status Request and gather relevant information/documents from the borrower to complete the application, its structure and all loan disclosures, in coordination with processing as well as underwriting Monitor the process and communicate effectively with the borrower and all other parties to the transaction on the status of the loan Present complete and accurate files to the Processor Ensure maintenance of active NMLS license and stay current with required continuing education, new products, Freddie Mac and Fannie Mae guidelines, Envoy guidelines and overlays, and HUD guidelines Comply with local, state and federal laws regarding position Adhere to all Envoy standards, including, but not limited to production minimums and customer service Conduct business in an ethical manner and in the best interest of Envoy, with Envoy's core values in mind Stay current on personal finance principles in order to offer comprehensive mortgage advice to clients May work more than 50% of the time out the office, is non-exempt and primarily commission-based Any additional duties as assigned THIS JOB DESCRIPTION IS NOT INTENDED TO BE ALL-INCLUSIVE. THE INCUMBENT WILL ALSO PERFORM OTHER REASONABLY RELATED BUSINESS DUTIES AS ASSIGNED BY MANAGEMENT. Qualifications include: High school diploma or equivalent, Bachelor's degree is preferred 3+ years of experience as a Loan Originator, LOA or Processor, 5+ years preferred Knowledge of Microsoft Excel, Word and Outlook In-depth knowledge of mortgage loan products (FHA/VA/CONV/USDA) and knowledge of mortgage processes, procedures, and documentation Working knowledge / Proficiency in Desktop Underwriter/Desktop Originator (DU/DO), Loan Prospector (LP), and originating systems, Encompass experience preferred Exceptional follow-up, time management, interpersonal, and verbal and written communication skills Willingness to learn, self- motivated, social media savvy and a forward thinker Excellent customer service skills and working in a team environment Excellent interpersonal, verbal and written skills are a must Must be a self-starter who is reliable, detail oriented and the ability to resolve issues Strong relationship building a must, along with strong written and verbal communication skills Ability to analyze issues and create effective resolutions, while managing multiple projects at one time. Must have NMLS and SAFE, UST, preferred, or able to obtain applicable State NMLS license within 30 - 90 days of employment or employment will be terminated. Physical Requirements The employee must occasionally lift and/or move up to 25 pounds Specific vision abilities required by this job include close vision While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel; reach with hands and arms; and talk or hear The employee is occasionally required to stand; walk; climb or balance and stoop, kneel, crouch or crawl Job Type: - Non-Exempt Compensation: - Regular Pay: $7.25 - $15.00/hour Supplemental Pay: - Commission Pay NOTE: The Pay Range indicated may vary based on skills, experience, and location once a candidate is selected. - Bonus Pay (eligible) Benefits: (Full-Time) - Health Insurance - Paid Time Off (PTO) - Paid Holidays - 401(k) We are an equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need. We are committed to creating an inclusive environment for all employees.

Location: New York City, NY Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Location: Reddit has a flexible-first workforce. Don't live near our New York office? No worries: you can work remotely from anywhere on the US East Coast (Eastern Time). The Ads Foundational Representations (AFR) team develops signals and representations of Reddit’s core entities (ads, posts, users, and so on), capturing the semantic, contextual, and behavioral information that Reddit Ads needs. We work on building embeddings to understand content and users' interests based on the content they engage with. Our team has the potential to highlight one of Reddit's biggest differentiators: genuinely curated, high-quality, extremely relevant, and daily updated organic content. We are a Machine Learning/Data heavy team with a focus on the following areas: Multimodal & Content Embeddings - Make sense of organic (posts, comments, subreddits) and promoted (ads, shopping products, their landing pages) text and media content by embedding them into a shared space. Contextual and Behavioral Relevance - Working with Product & Data Science, establishing definitions of what ads are relevant to users and the content we show them next to, building metrics and fine-tuning embeddings to better reflect relevance. Knowledge Graph Embeddings - Building representations for the Knowledge graph entities, e.g., intellectual properties/brands, to be used for high-precision targeting & business insights. User Intent Modeling - Leveraging various techniques to introduce user representations based on the content they interact with: batch & real-time sequence modeling, LLM summarization, etc. LLM-based Representations - Leveraging LLMs, VLMs, and foundational models to build complex representations of Reddit entities that improve ranking outcomes The signals and features we create become a key piece in the Ads Delivery funnel, from targeting to the auction, as well as the Business Insights product and other advertiser-facing products such as Creative generation and optimization. As a Staff ML Engineer , you’ll be in charge of setting the technical direction of multiple pillars the team owns. You will lead cross-functional ML projects end to end - from high-level business gap analysis to engineering execution. Roughly 50% of your time will be spent on technical leadership and mentorship (driving strategy & designs, cross-functional collaboration, raising the quality bar), another 50% being individual hands-on work (data analysis & engineering, modeling & automation). Responsibilities Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high. Working closely with team/org leadership developing technical strategy for content-based embeddings & relevance for Ads. Developing new or iterating on existing embedding models for advertising use cases, ranging from aggregation pipelines to two-tower architectures and sequence models. Working with local and 3rd-party LLMs/VLMs: extract representations, develop evaluation methodologies, prompt tune and fine-tune large models to build state-of-the-art embeddings. Building data processing and inference pipelines for the models we develop. Qualitative and quantitative evaluation of the various features we develop, end-to-end experimentation from internal benchmarks to downstream recommender system offline metrics to online experiments. Ensuring the reliability, scalability, and performance of the ML systems by writing automated tests, monitoring performance, and implementing best practices for model management. Participating in modeling and coding reviews: You will review work by other team members and provide feedback to ensure that it meets the team's standards for quality and performance. Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions. Required Qualifications: 7+ years of hands-on experience with the full lifecycle of designing, training, evaluating, testing, and deploying industry-level models. Demonstrated Staff-level technical leadership: mentoring engineers, driving standards and bar raising, leading complex cross-functional projects: from requirements, design to cross-team/functional alignment and execution without direct people-management authority. Excellent communication skills, with the ability to translate complex technical concepts to different audiences, both verbally and in writing. Strong track record of working on content rich NLP/CV problems at scale, and using embeddings as a tool to solve them. Established data-driven approach for ML system development. Excitement about working with data and readiness to look behind the metric numbers. Familiarity with the Ads domain and/or Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Kigali; Nairobi Workplace: Remote ABOUT THE COMPANY Allan & Gill Gray Philanthropy Rwanda (AGGPR) has embarked on a journey to develop responsible entrepreneurs across the African continent in the service of the common good. Our Vision is an empowered, prosperous, productively engaged African citizenry thriving in ethical societies with dignity and hope. Our Mission is to attack poverty by investing in, nurturing, and empowering responsible entrepreneurs and leaders who benefit society by helping to accelerate meaningful employment creation, while embodying the values and behaviors of ethical leadership. Our Values are long-term commitment, spirit of humility and significance, excellence, responsible stewardship, and diversity and inclusion. Jasiri, one of AGGPR’s main programs, invests in, nurtures, and empowers entrepreneurs who benefit society and attack poverty through the creation of high-impact new businesses, creating new markets on the African continent. Jasiri Talent Investor is a one-year program for high-potential individuals who display exceptional entrepreneurial potential to form part of a community of high-impact, responsible entrepreneurs growing businesses from scratch. Participants are funded and guided through a process of team formation, idea generation, business validation, and market entry. The program introduces Jasiri Fellows to equally ambitious co-founders and supports them on an individual, team, and business level through seasoned Facilitators and Coaches. Jasiri Growth Accelerator invests in early-stage, high-potential startups that may still be too risky for commercial funders to invest in. Early-stage ventures with potential for high growth and demonstrated product-market fit are provided with funding to support their growth and assisted with investor readiness. Wavumbuzi – a Jasiri pipeline building program – is a free annual six-week online entrepreneurship challenge focused on developing the entrepreneurial mindset of secondary/high school learners throughout the country. The challenge is designed to equip students with competencies to be the next generation of global leaders, change-makers, and innovative thinkers.   ABOUT THE ROLE We are seeking a seasoned Investment Specialist to support Jasiri Growth Accelerator (JGA) ventures follow-on capital raise. The specialist provides hands-on support for ventures' capital raise, from funding strategy and deal structuring to investor introductions and negotiations, backed by rigorous valuation work and sound fundraising risk management. The ideal candidate brings deep investor networks, proven deal-making experience, a track record of running valuation work, and the ability to turn valuation and fundraising insights into clear recommendations for the Venture Investment Lead, the Executive Committee, and the Investment Committee. Working closely with the JGA program team, the specialist ensures that follow-on fundraising support is well aligned with program objectives. Duration: This is a 6-month, part-time consulting engagement with the possibility of extension based on performance and results. WHAT YOU WILL DO 1. Funding Strategy & Deal Structuring: - Work with ventures to develop tailored follow-on funding strategies aligned with their growth objectives, and track progress against agreed fundraising targets. - Advise ventures on capital structure, valuation, instruments (SAFEs, convertible notes and equity), dilution, deal terms and negotiation strategies, and support them through term sheet review and closing. 2. Follow-on Capital Raise, Investor Engagement & Deal Flow: - Leverage existing investor relationships and networks to create follow-on funding opportunities for JGA ventures, across angel investors, family offices, venture capital funds, DFIs and strategic investors. - Act as a bridge between ventures and investors, using deep networks to facilitate introductions, support negotiations and drive engagements through to closed deals. - Review investor materials produced through accelerator partners' investment readiness work and flag any gaps before investor outreach. - Run investor engagement, including curated deal rooms, investor showcases and targeted one-to-one introductions, to build qualified deal flow for JGA ventures. - Gather feedback from investor conversations and share it with ventures to help them refine their approach. - Keep a record of investor engagement (introductions made, pitches facilitated, and term sheets secured) to demonstrate progress and inform future efforts. - Advise and support negotiations on behalf of Jasiri and its ventures, but may not commit either party, make investment decisions, or act as a representative without prior written authority. 3. Fundraising Risk Assessment & Mitigation: - Assess risks to follow-on raises, such as runway, valuation expectations, investor fit, governance and legal readiness, and provide inputs to the portfolio risk register owned by the Venture Investment Lead. - Design and implement mitigation strategies for identified risks. 4. Valuation & Fundraising Progress Tracking: - Track the fundraising progress, runway, and financial health of ventures preparing for or undertaking a follow-on raise and share insights with the JGA Venture Investment Lead. - Flag ventures at risk of missing fundraising targets, analyse root causes, and recommend targeted support. - Contribute fundraising and valuation data to the portfolio dashboards maintained by the Venture Investment Lead and M&E. - Lead annual portfolio valuations, selecting and documenting appropriate methodologies, and report valuation movements and their drivers. - Provide valuation guidance to ventures ahead of and during fundraising, helping them set realistic expectations and defend their valuation with investors. 5. Collaboration with JGA Programme Team: - Collaborate with the JGA team to ensure investment support is aligned with programme objectives. - Provide regular updates and insights on fundraising progress to the JGA team. 6. Committee Reporting and Presentations: - Prepare and present updates to the Executive Committee and Investment Committee on investment performance, follow-on fundraising progress, valuations, key risks, and opportunities. Deliverables - Funding strategy and deal structuring note for ventures pursuing follow-on capital, covering capital structure, instruments, valuation guidance and negotiation approach. - Investor engagement plan and monthly execution report, including introductions made, pitches facilitated, term sheets secured, and investor feedback shared with ventures. - Follow-on fundraising pipeline and progress tracker updated monthly. - Portfolio valuations conducted and reported in a valuation analysis report, with methodology, key assumptions, and valuation movements. - Fundraising risk inputs to the portfolio risk register with material risks escalated to the Venture Investment Lead. - Preparation of materials for Investment Committee meetings on the selection of ventures for investment and follow-on raises, including investment memos, risk assessments and recommendations for investment decisions. - Final report summarizing outcomes, lessons learned, and recommendations Key Performance Indicators - Progress will be reviewed monthly. Measurable indicators include: - qualified introductions - investor meetings - term sheets - capital mobilised - ventures supported - reporting timeliness - stakeholder satisfaction. WHAT YOU HAVE - An undergraduate degree in accounting or finance is required. - Alternatively, a relevant postgraduate qualification in investment, accounting, finance, or a related field will be considered. - 5+ years of investment, venture capital, or private equity experience, with a demonstrated track record of closing Seed to Series A deals and supporting startups through follow-on capital raises, evidenced by completed deals and advisory engagements. - Strong, verifiable investor network across angel investors, family offices, venture capital funds, DFIs, and strategic investors, with documented evidence of active investor engagement, such as introductions made, pitches facilitated, or term sheets secured. - Demonstrated experience conducting valuations of early-stage and early-revenue companies with the ability to defend valuation approaches. - Solid understanding of startup financing instruments, term sheets, cap tables, and investor rights. - Strong financial analysis and modelling skills, with the ability to assess business models, growth strategies, and financial health. - Practical experience with investment due diligence, investment committee materials, and post-investment support for portfolio companies. - Excellent written and verbal communication skills, with the ability to present investment cases clearly to internal and external stakeholders. COLLABORATION LINES - With JGA: Strategic link to the JGA program team to ensure alignment and measurable impact on venture growth. - With M&E: Co-designs indicators for Investor readiness, feeds venture-level data into portfolio dashboards. - With Ecosystems and Partnerships Manager: Create a platform for peer learning to strengthen alumni ties and create a support ecosystem around funding readiness.

Location: paris, France Workplace: hybrid Location: Any MSF office* Contract: Permanent contract at 100% Starting date: 01st of February 2027 Deadline to apply: 03rd of December 2026 - We reserve the right to close this position once suitable candidates have been identified. Compensation and Benefits: MSF practice is to offer the compensation and benefits package in line with the MSF entity offering the contract *By default, the successful candidate will be offered a contract in the MSF office, able to issue a contract, of their country of residence at the time of application. If no MSF office exists in their country of residence, the successful candidate will be expected to relocate to a country where an MSF office can issue a contract, provided the local legislation allows for that. At MSF, we are committed to an inclusive culture that encourages and supports the diverse voices of our employees. We welcome applications from individuals of all genders, ages, sexual orientations, nationalities, races, religions, beliefs, ability status, and all other diversity characteristics. MSF is committed to preventing abuse, inappropriate behaviour, lack of integrity and financial misconduct in its work and care spaces. The successful candidate will be expected to comply with the organisation’s safeguarding policies and standards of professional behaviour. We are committed to removing barriers for people with specific accessibility needs. If you need an adjustment to the recruitment process to be considered for the role, please let us know from the beginning of the selection process. MSF International Médecins Sans Frontières (MSF) is an international, independent, medical humanitarian organisation that delivers emergency aid to people affected by armed conflict, epidemics, healthcare exclusion and natural disasters. MSF offers assistance to people based only on need and irrespective of race, religion, gender or political affiliation. MSF International is the legal entity that binds MSF’s 26 sections, 28 associations and 16 branch offices together. Registered in Switzerland, MSF International provides coordination, information and support to the MSF Movement, as well as implements international projects and initiatives as requested. Context MSF International provides coordination, information and support to the MSF movement and implements international projects and initiatives as requested. In 2026, MSF began a new six-year strategic cycle — the Strategic Planning and Resource Cycle (SPARC) — which replaces the previous Resources-Sharing Agreement (RSA4). SPARC brings together movement-wide priorities, coordinated decision-making, shared accountability and collective investment stewardship across the MSF movement. Within this framework, the Collective Portfolio is a core mechanism for translating SPARC ambitions into coherent, prioritised and monitorable movement-level investments. It brings together the Common Strategic Priorities Portfolio and other collective portfolio components, enabling the movement to assess strategic fit, sequencing, interdependencies, absorptive capacity, risk and value across a complex set of initiatives. The SPARC Interoperability priority in particular cuts across all other priorities and provides an enabling approach that shapes portfolio implementation and coherence. The Collective Portfolio Manager is the senior role responsible for holding together the diverse components of the Collective Portfolio during SPARC implementation. The role enables collective ownership, strengthens evidence-based steering, and reinforces accountability for results, resource choices and delivery against SPARC Goals and Principles. It operates across MSF’s decentralised governance and executive environment, working closely with the International Office, Executive Committees, the SPARC Steering Committee, the Portfolio Committee, finance stakeholders, content owners and senior leaders across the movement. As a member of the International Office management environment, the role also contributes to institutional coherence, organisational learning and SPARC-related change leadership. Purpose of the job The main purpose is to provide strategic leadership for SPARC’s Collective Portfolio to strengthen movement-wide accountability, prioritisation, effectiveness and alignment across collective investments. The role ensures that the Collective Portfolio has robust decision-making and accountability mechanisms. This includes ensuring that portfolio composition, investment choices, delivery performance, risk monitoring and resource visibility are integrated into cross-cutting analysis and timely executive decision-making. The role also leads management of the portfolio of work for the Common Strategic Priorities and advances portfolio, project and change management practice across the International Office and relevant executive platforms. This work involves paying particular attention to interoperability, absorption capacity, sequencing, implementation quality and organisational coherence. Finally, this position also supports the functioning of the SPARC Steering Committee. It provides coordination, analysis and synthesis needed for the Committee to fulfil its oversight role on behalf of the Full ExCom. The role helps translate information emerging from the Collective Portfolio, SPARC Coordinating Mechanisms and related reporting processes into coherent cross-cutting insight on progress, risks, resource implications, interdependencies and emerging tensions. Accountabilities 1. Manage the Collective Portfolio, enabling effective collective governance. Expected result: The Portfolio Committee, relevant executive platforms and the Full ExCom have timely, relevant and decision-ready information on portfolio performance, integration, resourcing and risk. Integrate and coordinate across the components and content owners of the Collective Portfolio, in line with the SPARC MoU and related governance arrangements; Translate portfolio design into practical governance and decision-making processes that strengthen collective ownership and disciplined portfolio stewardship; Oversee and report on portfolio composition, results, dependencies, risks and strategic fit, preparing analysis for decision-making in the Portfolio Committee and/or further escalation; Oversee and report on portfolio health, planning, and resourcing in close collaboration with the IO finance team, the FinDir and portfolio content owners, ensuring integration with the movement’s annual resource planning and budget cycle; Ensure that strategic, operational, organisational and implementation risks across the Collective Portfolio are identified, monitored and escalated appropriately, and facilitate the development of mitigation strategies with relevant stakeholders; Convene, prepare and facilitate the work of the Portfolio Committee in line with its terms of reference, ensuring focused discussion, sound documentation, clear follow-up and accountability for agreed actions; Develop approaches to gather learning and insight from portfolio implementation and contribute to the ongoing refinement, adaptation, and maturation of the Collective Portfolio model throughout the SPARC cycle. 2. Lead management of the portfolio of work in the Common Strategic Priorities, strengthening investment steering. Expected result: Initiatives and projects within the portfolio of work for the Common Strategic Priorities are strategically aligned, appropriately prioritised and collectively steered to optimise their contribution to SPARC goals and principles. Coordinate and align stakeholders in the Common Strategic Priorities, bringing coherence with approved Movement-level goals, principles, and agreed outcomes; Build and continuously improve the portfolio pipeline management process, ensuring transparency, consistency, usability and institutional learning; Drive analysis required for investment steering, including strategic relevance, interdependencies, timing, delivery feasibility, absorption capacity, opportunity costs, and portfolio balance; Cultivate reflection on emerging priorities, initiatives, or opportunities for better effectiveness or efficiency among Priorities; Broker shared understanding across stakeholders where priorities compete, perspectives diverge or conditions evolve, enabling collective choices in a decentralised environment without direct hierarchical authority; Promote equitable participation and enable the surfacing of diverse perspectives from across the movement in portfolio dialogue and prioritisation processes while maintaining focus on strategic coherence and delivery discipline; Track portfolio decisions, commitments and follow-up actions to strengthen visibility, continuity, and accountability. 3. Cultivate organisational learning, advancing portfolio-wide accountability for delivery results. Expected result: Collective portfolio oversight decisions are supported by evidence, implementation follow-through is tangible, and the movement has stronger accountability for the results of collective investments. Shape and maintain fit-for-purpose portfolio monitoring, reporting and review mechanisms to support executive decision-making and accountability for results; Consolidate portfolio information into clear, decision-ready reporting for governance and executive stakeholders, including progress, bottlenecks, deviations, unintended outcomes, risks, resource implications and emerging strategic choices. Follow up on regular reporting and related steering decisions, translating learning into actionable change, in particular with regards to gaps, delays, unresolved dependencies or accountability concerns. Drive the development of relevant review processes, evaluation exercises and reflection on Portfolio effectiveness, organisational learning and value generation. 4. Lead project, change and interoperability management practices across the International Office and executive Platforms. Expected result: The International Office and relevant executive platforms apply stronger portfolio, project and change management practices, enabling more coherent delivery, organisational learning and implementation effectiveness. Drive the improvement of portfolio, project and change management standards, practices and governance approaches across the International Office and relevant executive Platforms; Guide and promote disciplined approaches to planning, implementation, benefits realisation and organisational change; Advise stakeholders on ways to assess absorption capacity, implementation feasibility and unintended organisational effects when shaping or adjusting initiative processes, timelines, or scopes; Promote coordinated use of resources across projects, portfolios, and change initiatives, seeking efficiencies and facilitating cross-functional learning in the International Office and executive Platforms; Engage and align stakeholders around the SPARC Interoperability priority, facilitating shared accountability and progress against the Interoperability Ambitions to 2031 and related roadmap; Convene and facilitate relevant project and portfolio management communities or working groups in the Movement to strengthen knowledge-sharing, consistency, effectiveness and institutional learning; 5. Advise and support process design and facilitation for strategic initiatives or organisational transformation processes as requested by the ISG/DSG5. Support the SPARC Steering Committee in fulfilling its oversight, coordination and escalation role by providing timely portfolio analysis, cross-cutting insight, and decision-support across SPARC implementation Expected result: the Steering Committee is equipped with clear, integrated and decision-ready information that strengthens its ability to monitor SPARC implementation, identify and address cross-cutting challenges, and provide well-grounded advice and recommendations to the Full ExCom. Consolidate relevant inputs from the Collective Portfolio, SPARC Coordinating Mechanisms, monitoring and evaluation processes, and other reporting streams; Surface risks, interdependencies, resource implications, tensions and emerging issues; Support the preparation of coherent recommendations and documentation for Steering Committee review and onward escalation to the Full ExCom. Autonomy, complexity Autonomy to deliver results Operates with a high degree of autonomy within the mandate of the role. Determines portfolio management approaches, governance rhythms, prioritisation processes, analytical frameworks and facilitation strategies required to strengthen collective investment steering, accountability and executive decision-making. Exercises independent judgement on complex organisational, strategic and implementation issues with movement-wide implications, while escalating matters requiring broader executive or governance authority. Complexity of the environment The role operates in a highly complex and decentralised international environment involving multiple governance and executive bodies, operational directorates, sections, finance stakeholders and strategic initiatives with intersecting priorities, timelines and resource implications. The role requires navigating ambiguity, influencing without formal authority, balancing strategic and operational considerations, and enabling collective choices where perspectives, incentives and institutional interests may differ. The position must synthesise diverse streams of information into coherent portfolio insight while supporting implementation discipline across a dynamic and evolving strategic cycle. SAFEGUARDING REQUIREMENTS FOR THE ROLE The incumbent commits to contribute to a safe, supportive, inclusive, equitable, diverse, respectful and healthy workplace, free from abuse and other misconduct. They will not engage in any form of abuse, including those detailed in the MSF Typologies of Abuse. When an employee suspects or observes abuse, they will report it, without investigating it, to protect others. Ensure respectful management and communication at all levels. Ensure that staff and consultants under their supervision understand their responsibilities regarding expected behaviour and reporting abuse while working for MSF. Welcome complainants, guide colleagues towards the appropriate channels without investigating, and promote a working environment that does not tolerate abuse or inappropriate behaviour. Ensure that staff know how to raise concerns and are kept informed of reporting mechanisms. Education Master’s degree or equivalent professional competence in portfolio management, organisational strategy or public administration Advanced qualifications or certifications in portfolio, programme or change management are desirable. Experience Significant MSF experience is mandatory. experience in complex international and multi-stakeholder environments; experience leading or coordinating strategic portfolios, organisational transformation initiatives or cross-functional governance processes; proven track record of designing and facilitating senior-level consultation, prioritisation and decision-making processes, including with executive committees or governance bodies; strong experience influencing senior stakeholders and driving alignment across decentralised structures without direct hierarchical authority. Knowledge Understanding of portfolio, programme and change management approaches, governance models, organisational strategy and investment stewardship; understanding of complex organisational systems, prioritisation processes, accountability mechanisms and resource planning; familiarity with MSF’s movement dynamics, governance and executive environment, including the interaction between operational, strategic, financial and associative dimensions; demonstrated understanding of organisational interoperability, implementation risk, and cross-functional coordination in decentralised environments. Languages Native or near-native English. French, Spanish or Arabic are assets. Other Willingness and ability to travel regularly to MSF offices and operational contexts. Only shortlisted candidates will be contacted. By submitting an application, the job applicant confirms their understanding and acceptance of these recruitment procedures.

Responsibilities: - Design, develop, test, deploy, and maintain Solidity smart contracts for the Ihsan Gold Token on EVM Base. - Implement secure minting and burning flows ensuring no token is minted without confirmed gold allocation; build redemption flows. - Design and enforce permissioned-transfer architecture, role-based access controls, allowlists/denylists, emergency pause, and authority-management. - Architect multisig/MPC/hardware-backed signing, secure key-management, and operational approval procedures. - Integrate on-chain mint/burn events with off-chain order and reserve ledgers; ensure continuous auditability of supply and reserves. - Build deployment processes (testnet, staging, mainnet), monitoring, indexing, alerting, reconciliation, and operational runbooks. Requirements: - Strong production experience designing and shipping secure Solidity smart contracts on EVM-compatible chains (tokens, stablecoins, payments, wallets, or customer-value systems). - Deep knowledge of ERC-20 and relevant token extensions, EVM security, wallets, transaction signing, RPC providers, and event indexing. - Experience implementing secure mint/burn, transfer-restriction, pause, allowlist/denylist, and role-based authority-management flows. - Strong understanding of multisig, MPC or hardware-backed signing, and secure key-management design. - Experience with financial ledgers, reconciliation, payments, wallets, stablecoins, or other systems handling customer value. - Experience building reliable APIs, event-driven workflows, transaction state machines, and idempotent systems. - Strong testing, monitoring, auditing, and incident-response discipline; excellent English communication. Benefits: - Company Retreats - Distributed Team - Equity Compensation - No Politics - No Whiteboard

Location: Bengaluru, Karnataka, India Purpose: The purpose of this job description is to define the minimum qualifications and experience required, as well as the responsibilities of the Scientist – Aggregate Reporting. The aim is to ensure that job duties are performed in compliance with the company’s training program and all applicable global and local regulatory requirements, including but not limited to Good Clinical Practices (GCP), ISO standards, data protection laws, and other relevant local regulations. Primary Responsibilities: Responsible for authoring Aggregate Safety Reports (including but not limited to PBRER/PSUR, ACO, DSUR, PADER, CAR, RMP, Ad-hoc safety reports for medicinal and non-medicinal products and EU-MDR PSUR, PMSR, PMSP, and PRER reports for medical devices, and Cosmetovigilance reports for Cosmetic products for submissions to various health authorities as per the requirement). Plan report-specific timelines, identify relevant stakeholders, request calls for contributions, and coordinate with various stakeholders for obtaining relevant data for the preparation of aggregate safety reports. Review the safety data (including the seriousness and expectedness assessments of events, as may be necessary) as per the agreed strategy and sponsor’s conventions and verify the correctness and completeness of contributions received from stakeholders. Perform an aggregate review of post-marketing cases received in global databases and assess whether the cases alter the safety profile of the marketed product. Coordinate with various stakeholders, conduct planning and strategic meetings and obtain inputs required for drafting and finalizing the aggregate summary reports. Ensure that all aggregate summary reports are uploaded and archived in the globally accepted repositories within the client environment. Ensure that the end-to-end life cycle of the report, from drafting up to approval and release to the requester, is conducted in a timely manner. Draft the reports in specified templates based on the data evaluations and the sponsor’s recommendations. Address the review comments from internal stakeholders and submit the high-quality report to the Sponsor. Support in literature reviews and signal management activities, including but not limited to maintaining signal detection schedules, retrieval of safety data and reviews, documentation of signal assessments/detections, signal validation, and evaluations, and authoring of signal evaluations or ad-hoc safety reports on a need basis. Maintain awareness of major Aggregate reporting guidelines, including but not limited to GVP Modules V, VI, VII, and IX; ICH E2C R2; ICH E2F; EU MDR; 21 CFR 314.80/ 600.80; and Health Canada GVP GUI-0102. Perform quality reviews for the reports prepared by the peer aggregate report writers to verify the correctness and completeness as per the source data and compliance with the sponsor’s requirements. Perform periodic screening of designated HA websites for safety updates, labelling recommendations, signal evaluations, pass expectations and risk minimization measures. Secondary Responsibilities: Effectively organize work to complete the assigned tasks to meet deadlines. Ensure compliance with timelines, quality and training as specified in the project SLA. Mentor and bestow domain knowledge to the team. Demonstrate Quality of Work & Commitment through excellence in work, ensure correctness and completeness in deliverables with minimum OR no re-work. Able to independently perform tasks with minimal guidance & supervision. Ensure that all assigned goals [e.g., utilization and efficiency] are met as per set standards for the performance year. Responsible for ensuring training compliance and timesheet compliance. Ensure completion of any other tasks assigned by the reporting manager. Be aware of and comply with the QMS/ ISMS & PIMS Policy. Report any potential or actual Security Breaches to the regional and/or global DPO & Security Incidents to CISO/ applicable distribution list. Contribute towards the achievement of Quality Objectives. Ensure proper planning of the deliverable, foresee any risks that are likely to arise and alert the project lead/ manager whenever project deliverable risks are visualized. Conduct functional training for the team members and support the capability development of junior members. Alert and escalate to TL as required, whenever project deliverable risks are visualized or issues encountered impacting the delivery schedule. Follow and comply with the Company’s code of conduct, policies, and procedures. Skills and Qualifications: Bachelor’s or Master’s degree in life sciences or healthcare discipline, or its equivalent, in alignment with project/role/business requirements. 3-6 years - experience relevant for domain/ business requirements, and/OR appropriate expertise/knowledge evaluated via specific assessments. Good knowledge of global regulatory requirements and drug safety, and a thorough understanding of Regulatory guidelines. Familiar with drug safety (case management, familiarity with safety databases like ARGUS, ARIS G). Strong verbal and written communication skills and ability to communicate in a global environment.

Location: Intellias Meet your recruiter Dariia Ulianova dariia.ulianova@intellias.com https://www.linkedin.com... Vacancy details Management Manager Senior Manager United Kingdom Remote APPLY NOW REFER A FRIEND Client is building programme to deliver data products on the enterprise data platform (EDP). We are looking for a Programme Manager to coordinate the groups delivering it. You will have experience delivering programmes of work and coordinating across teams. You will use that to make sure handoffs happen, decisions are made and written down, and work reaches production. What project we have for you Our client is an independent, active global asset manager. They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains. As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog. Program runs across several groups, with work spread across domains. Client delivers quickly, but work often stalls before production, because no one has the time or mandate to fix the blockers between teams. The Programme Director is the first of three dedicated roles to close that gap, alongside a Product Owner and a Principal Engineer. You will work to a public mandate from the CTO, with authority over timescales, handoffs and cross-team decisions. What you will do Key responsibilities Coordinate between the groups. Agree dependencies, priorities and handoffs, with a named owner at each step. Make and close decisions. Bring the right people together, record each decision with its owner, and publish a decision log. Agree a programme charter. Set Atlas’s goals, decision rights and forums, alongside the platform charter. Own the plan and run the cadence. Hold one plan with timescales, milestones and dependencies. Review it in forums where owners are accountable for progress. Communicate across the programme. Run one channel for what was agreed and what changed, so no one has to ask twice. Set the cadence for the Product Owner and Principal Engineer. What you need for this Requirements: • Experience on data platform or data engineering programmes, ideally Databricks • Experience coordinating onshore and offshore teams • Familiarity with agile delivery, including work-in-progress limits and regular show-and-tell sessions • Experience setting up programme governance from scratch, such as charters, decision rights and forums • Publish the programme charter • Give every cross-group dependency and handoff an owner • Log decisions with an owner • Hit the milestones on the published plan Nice to have skills Interest in how AI agents are used in software delivery What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.