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Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.. Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. .See yourself at Twilio Join us as our next Senior Solutions Engineer on Twilio’s Regulated Verticals Communications team! About the job At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion mean that no matter your location, you’re part of a vibrant, diverse team making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. Responsibilities In this role, you’ll: Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions. Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs. Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges. Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success. Take the initiative to identify and solve problems - both for the customer and within the organization as we grow Contribute to the broader Twilio Solutions Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years pre-sales experience selling complex, technical products or 6+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting Excellent communicator and presenter able to gain audience confidence An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience. Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution Previous software development experience or working knowledge in one or more of the following areas: Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience Desired: Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture. Previous experience in Telecom, SIP, Contact Center, or Security is a plus. Experience with sales methodologies Location This role will be remote, but is not eligible to be hired in CA, CT, IL, MA, MD, NJ, NY, OR, PA, RI, TX, VA, WA, or Washington DC. Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 10% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Minnesota or Vermont : $114,224 - $142,780. Based in Washington D.C., Illinois, Maryland, Massachusetts or California (outside of the San Francisco Bay Area): $120,568 - $150,710. Based in New York, New Jersey, Washington State, or the San Francisco Bay area, California: $126,912 - $158,640. This role may be eligible to participate in Twilio’s equity plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. This role is eligible to earn commissions.  The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.  Application deadline information (required for ALL US jobs) Applications for this role are intended to be accepted until November 10, 2026, but may change based on business needs.   Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Who we are  At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.. Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!  Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. .See yourself at Twilio Join the team as Twilio’s next Software Engineer L2 (Messaging Channels). About the job This position is needed to power the future of communications by developing the connectivity, compliance and rich messaging features required to enable adoption of new messaging channels and drive continued growth of existing channels such as WhatsApp, RCS and Facebook Messenger.  Our team navigates the complexities of requirements across many channels to enable Twilio customers to have a unified and seamless experience.  We enable startups, non-profits and Fortune 500 companies to send billions of messages a year on our platform.  We are looking for candidates passionate about designing, developing, deploying and operating software solutions at scale to help Twilio deliver the best user experience for modern, rich messaging. Responsibilities In this role, you’ll: Build High-Scale APIs: Design, develop, and maintain high-performance REST APIs and backend microservices using Java and Go. Power Rich Messaging: Build and enhance rich messaging features, managing high-throughput message routing and delivery pipelines. Operate Cloud Systems: Deploy and support backend services in AWS (open to Azure/GCP experience), prioritizing system reliability, low latency, and fault tolerance. Leverage Modern AI Tools: Actively integrate AI-assisted development tools (e.g., Claude, Copilot) into your daily workflow to accelerate output and elevate code quality. Own System Reliability: Support team on-call rotations to maintain high availability and operational excellence for critical communications services. Collaborate Remotely: Partner asynchronously across distributed engineering teams using clear technical written and verbal communication. Qualifications  Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 3+ years of hands-on software development experience building backend services in Java or Go Experience designing and building production RESTful APIs as a core part of your day-to-day role Experience operating distributed systems on top of cloud infrastructure (AWS preferred, or equivalent experience with Azure/GCP) Hands-on use of AI development tools (e.g. Claude, Copilot) to streamline coding, debugging or documentation Strong written and verbal technical communication skills Ability to participate in on-call rotation (includes weekends and holidays) Desired: Experience with NoSQL datastores (e.g. DynamoDB) Experience with message queuing (e.g. Simple Queue Service) Experience deploying and supporting containerized applications in Kubernetes Prior experience with telecom or rich messaging platforms (RCS, SMS/MMS, OTT messaging) Location This role will be remote and based in the USA Travel  We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation [OPTION A: NON OTE ROLES] *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $116,960.00(Developing Minimum for Tier 3) - $175,440.00 (Mid for Tier 3). Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $123,760.00 (Developing Minimum for Tier 2) - $185,640.00 (Mid for Tier 2). Based in the San Francisco Bay area, California: $137,520 (Developing Minimum for Tier 1) - $171,900.00 (Mid for Tier 1). This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information (required for ALL US jobs) Applications for this role are intended to be accepted until 12/15/2026, but may change based on business needs.Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.. Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the Germany  5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In Germany, the base compensation range for this role is 109,700 EUR - 131,600 EUR. 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.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the Netherlands  5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In the Netherlands, the base compensation range for this role is 109,697 - 131,636 EUR. 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.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X. We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner—not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in Spain  5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In the Spain, the base compensation range for this role is 94,000 - 112,830 EUR. 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.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliabilityShare the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000—$485,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure The annual compensation range for this role is listed below.  For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:$320,000—$485,000 USDLogistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Who we are About the team The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns 10+ real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users.  The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. Radar is growing fast, and the team is actively building new products like defenses against AI token theft, free trial abuse, and programmatic attacks. What you'll do In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch. Responsibilities Design, build, train, evaluate, deploy, and own ML models in production that detect fraud across Stripe’s global payments network Design and build large-scale ML systems that operate on diverse and large scale data Experiment and iterate on ML models to achieve key business goals around data quality and accuracy Develop pipelines and automated processes to train and evaluate models in offline and online environments Integrate ML models into production systems and ensure their scalability and reliability Collaborate with product, data science, and engineering partners across Stripe to identify opportunities where ML can improve outcomes for merchants and consumers Engage with the latest ML/AI developments and take calculated risks in transforming innovative ideas into productionized solutions Mentor engineers and contribute to a strong ML engineering culture within the team Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. Minimum requirements 10+ years of industry experience building and shipping ML systems in production Proficient with ML libraries and frameworks such as PyTorch, TensorFlow, XGBoost, as well as Spark Hands-on experience in designing, training, and evaluating machine learning models Hands-on experience in productionizing and deploying models at scale Hands-on experience in orchestrating data pipelines and efficiently leveraging large-scale datasets Strong collaboration skills and the ability to work across teams and contribute to peers' success Ability to thrive with a high level of autonomy and responsibility and an entrepreneurial mindset Preferred qualifications MS or PhD degree in ML/AI or a related field (e.g., math, physics, statistics, computer science) Experience in fintech, open banking, or financial data domains Experience with NLP, LLMs, or text classification at scale Experience in adversarial or noisy-data domains such as fraud detection, risk modeling, or data quality Proven track record of building and deploying ML systems that have effectively solved ambiguous business problems Experience with deep learning architectures, including transformers

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 position. We are seeking candidates in US and Canada. The Opportunity:Application Core Services (AppCore) is a group within Platform, in the Foundations department. Foundations produces the Internal Engineering Platform (IEP) and partners closely with our Cloud, Enterprise, and Grafana teams. Our team develops the essential systems driving Grafana's business operations. We utilize the grafana.com platform to engineer bespoke integrations and solutions that unify the diverse technical ecosystem of a modern software enterprise. The team owns important domain areas that help keep both our customer workflows and internal business processes running smoothly. AppCore is made up of multiple squads, each focused on one or more of these domains. Our work includes maintaining the billing engine responsible for customer usage calculations, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the user portal our customers rely on to manage their accounts. This is a team working at the intersection of product, platform, and business operations. The systems we build are critical to how Grafana Cloud scales. We are looking for engineers who enjoy solving complex workflow and systems problems, improving reliability and developer experience, and building software that directly supports both customers and internal stakeholders. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a unique perspective to the software. Engineers at Grafana Labs also have the opportunity to contribute to Open Source communities and collaborate across teams beyond their immediate scope. What You’ll Be Doing: The Usage squad owns the essential systems driving Grafana's business operations and customer usage calculations. Our domain encompasses maintaining the billing engine responsible for customer usage calculation, cost management and billing applications, automating provisioning after a customer signs a contract, integrating with cloud marketplaces such as AWS, Azure, and GCP, and building and maintaining the customer user portal. Our work sits at the intersection of product, platform, and business operations. We build full-stack web applications, customer portals, backend services, APIs, and data integrations across internal Grafana platforms and third-party systems like NetSuite and Salesforce. When this domain works well, customers get clear usage visibility, reliable billing, and seamless account management workflows. This role is about 75% FrontEnd and 25% BackEnd. Design, build, operate, and evolve reliable full-stack web applications, customer-facing account portals, and backend services that power core customer usage and billing workflows Build and maintain backend APIs (Golang, Node.js) and intuitive user interfaces using modern frontend technologies (TypeScript, React) Design and maintain integrations between Grafana systems and external business platforms such as NetSuite, Salesforce, and cloud marketplaces (AWS, Azure, GCP) Develop and automate business logic for customer usage metering, pricing structures, promotions, and billing reconciliation Collaborate across product management, DealOps, GTM, Support, and adjacent AppCore squads to deliver robust end-to-end features Address technical debt, optimize CI/CD pipelines, strengthen test coverage, and improve system observability and operational resilience Provide technical leadership and mentorship to engineers while shaping pragmatic solutions for complex systems challenges Contribute to roadmap planning, technical design, OnCall improvements, and long-term simplification of stack operations You will help own the production behavior of the systems you build. That includes improving runbooks, dashboards, alerts, reconciliation safety, rollout controls, and recovery procedures. You should be comfortable debugging across service boundaries and making careful changes in systems that affect customer stacks What Makes You a Great Fit: At Grafana, we actively embrace AI-assisted and agentic development practices, integrating these technologies into both our engineering workflows and the systems we deliver. We encourage our engineers to thoughtfully leverage AI tools to enhance every stage of the lifecycle, from design and implementation to testing, documentation, and operations. We also look for strategic opportunities to embed agentic capabilities within our services to eliminate toil, bolster reliability, and ensure that complex customer workflows remain resilient and safe. We are seeking a Staff FullStack Engineer who thrives on building production systems where correctness, scalability, and user experience are paramount. As a remote-first organization, you should be comfortable collaborating asynchronously across time zones and taking full ownership of the critical systems powering Grafana Cloud. Our team is small and operates with a high degree of independence; you will be expected to lead major projects, coordinate across service boundaries, and help define the technical direction for our domain. You will be particularly successful in this role if you enjoy solving challenges related to stateful systems, eventual consistency, and reconciliation loops. We value engineers who can take ambiguous lifecycle requirements and transform them into explicit, modular solutions. You should be adept at breaking down complex systems work into safe, iterative increments while clearly communicating technical tradeoffs to both internal stakeholders and adjacent product teams. Some things you might be expected to do could include: Writing efficient, readable, and easy to maintain code Designing new microservices or systems Collaborating with teammates and other departments to reach consensus on proposed solutions Coordinating with product and UX when needed Responding to customer requests and feedback When ready, participating in our follow-the-sun OnCall rotation Participating in team decisions, such as roadmap planning and prioritization Requirements: You have at least 1 year of fully remote work experience You have worked on a big SaaS platform and dealt with common distributed systems problems (e.g. scalability, multi-tenancy, data isolation, HA, …) Strong professional experience with backend technologies (Golang, Node.js) as well as modern frontend web development (TypeScript, React) Care deeply about developer and user experience and the quality of the products that you work on Have some experience with delivering projects from gathering requirements, and brainstorming ideas to shipping a product to the customer’s hands in a self-driven way You write clean, robust, well-tested software that other engineers can understand, operate, and maintain Have experience with mentoring junior engineers in a collaborative but asynchronous environment Can take on complex challenges and break them down to achieve tight learning loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback, and then progress iteratively You are willing to work across teams. Your work has to be aligned with the needs of other squads and external stakeholders. You make your plans transparent, bring stakeholders on board, and are open to feedback and suggestions Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.) Bonus Points For: Experience with high-volume usage metering, billing engines, or customer-facing cost management applications Experience designing, building, and maintaining integrations with third-party business systems (e.g., NetSuite, Salesforce, Cloud Marketplaces) Experience with frontend component libraries, design systems, and modern CSS-in-JS tooling Familiarity with cloud marketplace integrations (AWS, Azure, GCP) and SaaS provisioning/tenancy patterns Experience working on SaaS provisioning, tenancy, regional expansion, plugin rollout, or customer lifecycle systems Experience with incident response involving configuration drift, partial failure, or cross-service state mismatch In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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.

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.Available Locations: London or Austin About the Department Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a hugely successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization. About the Team We build the infrastructure that makes the web Payable, powering the future of machine-to-machine commerce. Here at Cloudflare, agentic commerce is a core part of our vision for the Agentic Internet. As AI agents increasingly navigate, consume, and act on the web, standard payment and authorization models built for humans are breaking down. We are building tools that help make the new internet payable by giving our users the ability to take control over how AI agents pay for resources across the Internet. Building these capabilities requires solving problems across high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols. We bridge mainstream fiat commerce rails with decentralized protocols, enabling micro-payments at Internet scale. We’re looking for someone excited to deliver products so domain owners can control this experience, while identifying the problems Cloudflare is uniquely positioned to solve next. We are a tight-knit group that communicates and collaborates regularly. We celebrate our achievements, support each other when we make mistakes, and hold each other and our work to a high standard. About the role We are looking for an Engineering Manager to build and lead the engineering team across Agentic Commerce. You will be responsible for the people, execution, and engineering quality behind products that power machine-to-machine payments and monetization, such as our Monetization Gateway. You will partner closely with Product Management and engineering teams across Cloudflare to deliver current priorities and shape future opportunities. This is a management role for someone who is deeply technically credible. You will not be expected to write most of the code, but you should be able to understand the systems your engineers operate, challenge architectural decisions around payment rails and cryptographic auth, ask the right questions when something is going wrong, and step into a technical problem when the situation calls for it. At the same time, we are looking for a manager, not a tech lead with direct reports. Your success will be measured by the quality and output of the team you build, the engineers you develop, and the systems and products they deliver. This role may require flexibility to be on-call outside of standard working hours to address technical issues as needed. What you'll do Manage, coach, and grow engineers working across high-throughput payment pipelines, agent authentication, and web-scale commerce architecture. Own execution by establishing clear priorities, creating predictable delivery, and giving engineers the context and autonomy to own meaningful areas of the product. Lead the development of agentic payment systems leveraging emerging open standards (x402, Web Bot Auth, ACP, UCP) to enable low-latency, machine-to-machine micropayments. Lead the engineering behind usage metering, pricing definition engines, outcome verification, and revenue attribution models tailored for agentic workflows. Build capabilities that give businesses granular visibility and control over their agent-generated revenue streams. Partner closely with Product Management to understand customer problems, shape the roadmap, and turn broad opportunities into clear engineering outcomes. Bridge mainstream and decentralized tech, interfacing with blockchain teams while keeping execution focused on mainstream, high-throughput web and fiat commerce rails. Balance near-term product delivery with thoughtful technical investments that allow promising ideas to grow. Own the operational health of the systems in your area, including observability, incident response, cryptographic security, and long-term reliability. Develop technical leaders and create space for engineers to lead architecture and implementation. Responsibilities We want you to love it here. This role is a great fit for you if: You have led and developed a high-performing engineering team(s) and can point to what that team shipped and how the people on it grew. You are technically credible with experienced engineers. You can review a design, understand the trade-offs in distributed systems or payment platforms, and recognize when a technical problem needs deeper investigation. You are comfortable managing a team working across several related technical areas (like digital wallets, payment protocols, and web authorization) and can create clarity without requiring every problem to fit neatly into a single box. You care deeply about reliability and quality, particularly when the output of a system handles monetary transactions or machine authorization. You have strong product judgment and enjoy working with Product Management to decide what is worth building, what needs improvement and what should not be built at all. You are comfortable with ambiguity and with finding structure in areas where the opportunity is clearer than the roadmap. You communicate clearly, give direct feedback, and can explain complex technical decisions to both engineers and non-engineers. Examples of Desirable Skills, Knowledge, and Experience Strong technical grounding in distributed systems, low-latency transaction processing, API design, web security, or adjacent areas. Experience building or operating products involving traditional payment rails, digital wallets, or open authorization/authentication standards (e.g., OAuth, WebAuthn, Web Bot Auth). Experience operating systems where correctness, reliability, and security matter as much as feature delivery. A track record of hiring, developing, and retaining strong engineers. Experience partnering closely with Product Management to shape and execute a roadmap. Experience taking products or major capabilities from an ambiguous opportunity to a clear customer outcome. Strong written and verbal communication. Bonus Points Familiarity with emerging agentic/machine-to-machine payment protocols (x402, AP2, ACP, UCP). Experience building hybrid fiat/crypto payment infrastructure. Familiarity with Cloudflare’s developer platform (Workers, Durable Objects, KV) or edge computing architectures. Experience turning complex underlying systems into useful payment or commerce products for a broad audience. Experience with usage-based billing, metering engines, attribution systems, or complex commercial pricing models. Previous experience working in payments and on payments technology CompensationCompensation may be adjusted depending on work location. EquityThis role is eligible to participate in Cloudflare’s equity plan. BenefitsCloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. 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