Вакансии

Location: United States (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. The Opportunity: Grafana Labs is looking for an Majors Account Executive, Key Customers who will be responsible for prospecting and growing existing business across the West region . You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team. What You’ll Be Doing: Identify new opportunities to expand Grafana usage within 3-5 top existing accounts across multiple functions and business lines. Develop and maintain strong relationships at Executive level in current customers Create and execute strategic plans for defined account set Meet and exceed individual quarterly and annual sales goals Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management) Cultivate sales through outbound prospecting and inbound leads Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise Become an expert in managing your sales pipeline in Salesforce Manage quote creation, order processing, and day-to-day customer requests What Makes You a Great Fit: 8+ Years of Experience in Infrastructure Technology Sales Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer) Energetic, upbeat, entrepreneurial, tenacious team player Adaptable and with demonstrable experience in high velocity technology companies You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually Bonus Points For: Experience using Salesforce Familiarity with open source technology is a significant advantage Experience using Command of the Message and MEDD(P)ICC is ideal Compensation & Rewards: In the USA, the OTE (On-Target Earnings) compensation range for this role is 360,000-380,000. 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: Remote; San Francisco; New York Workplace: Remote Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases. Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with: - $10 billion+ generated by creators since Patreon's inception - 100 million+ free memberships for fans who may not be ready to pay just yet, and - 25 million+ paid memberships on Patreon today. We are looking for a Senior Engineering Manager to lead the Infrastructure & Developer Productivity teams, which are responsible for Patreon’s core infrastructure, developer productivity, and AI enablement. The team’s mission is to keep Patreon's engineering org fast, and reliable, and ready for an AI-native way of building software. This role location is open to fully Remote or to those who are able to be in-office 3 days per week on a hybrid work model in New York or San Francisco. About the Team You'll own the roadmap and execution across infrastructure and developer productivity. Balancing "keep the site up" reliability work with "make every engineer faster" investment — including Patreon's push to make AI-assisted development a durable part of how the org ships code. About the Role - Manage and grow ICs; own hiring, performance, and career development for your org. - Own operational excellence: observability standards, on-call structure, incident response, SLAs/SLOs, and Production Readiness Reviews (PRR). - Partner closely with Product Engineering, Security, and Data leaders so infrastructure and tooling decisions don't become a bottleneck for product delivery - Drive the org's AI-enablement strategy — deciding where to standardize tooling/workflows and where to let teams choose their own path About You - Required: - 10+ years of engineering experience, including 5+ years in engineering management, ideally with experience managing managers or senior ICs across multiple teams - Direct experience leading infrastructure, platform, or developer-productivity teams supporting a consumer product at scale - Familiarity with cloud infrastructure (AWS/GCP), Kubernetes, and infrastructure-as-code tooling - Comfort operating scalable production systems with high availability and performance requirements - Strong cross-functional partnership skills; you'll work daily with Product Engineering, Security, and Data leads - Nice to Have - Experience standing up or scaling developer tooling (CI/CD, testing platforms, internal dev environments) - Exposure to AI-assisted software development. Direct experience rolling out AI coding tools/agents at an organizational level, including adoption metrics and guardrails. About Patreon Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: - Put Creators First | They’re the reason we’re here. When creators win, we win. - Build with Craft | We sign our name to every deliverable, just like the creators we serve. - Make it Happen | We don’t quit. We learn and deliver. - Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching. Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements. At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role. The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions. Patreon reserves the right to modify or update compensation and benefits at any time.

About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter The analytics team supports the entire company including product, marketing, operations, and finance. The data platform includes a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, data quality, tracking standards, and platform hygiene are side tasks handled by analysts. The Role The Analytics Engineering Manager will be the first dedicated person for data governance, responsible for data trustworthiness and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding ML models, and data security. The role involves collaborating with product, marketing, ops, and finance to prioritize platform work. It is a hands-on role starting solo, building automation, checks, fixing issues, and establishing scalable processes. Eventually, the manager will hire a Lead Analytics Engineer and grow the function as needed. Key differentiators of the role: - First dedicated governance role, reshaping existing standards. - Owns the data roadmap, discovering business needs and prioritizing work. - Whole-stack ownership from source data to ML models. - Leading the migration to Lightdash, setting up permissions and norms. Responsibilities: - Develop and manage the data roadmap balancing business needs and platform health. - Automate monitoring of data quality and freshness, resolve incidents. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer with governed metric definitions. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security, privacy, access controls, and compliance with US state laws. - Maintain governance documentation, ownership models, and review processes. Challenges to solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability without dashboard sprawl. - Complete and maintain a trustworthy semantic layer. - Manage event-tracking standards and prevent entropy. - Proactively detect and prevent data pipeline breakages with automation and lineage. Success metrics for year 1: - Zero pipeline incidents from unannounced data changes. - Zero freshness incidents; stakeholders never see stale dashboards. - All business areas use official, well-maintained metrics and dashboards. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance as a craft. - Daily use of AI tools for automation, anomaly triage, and documentation. - Hands-on manager who codes, debugs, and configures personally. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role exclusions: - Not a large-team leadership role; starts solo with potential to hire one lead. - Not a policy or committee role; hands-on fixing with code and conversations. - Not a BI analyst role; focuses on platform and guardrails, not dashboard building. - Not a mature system babysitting role; involves building and evolving the platform. Technologies involved: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI tools: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for monitoring and anomaly detection Benefits: - Base salary $75k-$120k/year - Fully remote with asynchronous collaboration - Flexible PTO Equal employment opportunity statement included.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Storage plays an essential role at Anthropic across research, development, product, and running the business. Our exabyte-scale, multi-cloud storage infrastructure underpins training, CI, sandboxing, inference, warehousing, and long-term data retention. Our storage needs are growing rapidly with Claude. To keep up, we're looking for engineers who have designed, secured, operated, scaled, governed, and optimized blob storage platforms at hyper-scale. You'll join a welcoming, collaborative, high-trust, high-velocity team that is devoted to our users and Anthropic's mission. You'll bring deep experience, essential technical guidance, user-centric product sense, and hands-on significant contributions to help us evolve Anthropic's storage capabilities while absorbing increasing volume and complexity. You'll own high-stakes architectural decisions and deliverables to make stored data securely and speedily accessible across varying infrastructures and regions. You'll collaborate closely with other orgs to drive world-class security, usability, reliability, and capacity/cost efficiency: both for the data we store, and the ways we make it accessible to power a wide range of workflows. You'll partner with research, training, infrastructure, business, and data teams to understand our storage needs and opportunities, today and in the future. You'll drive strategic investments that uplevel Anthropic's ability to ship safe, useful AI at speed. Key Responsibilities Shape the technical strategy and architecture for Anthropic's storage layers Build strong relationships with our users and partner teams, and deep understanding of their access patterns and unique security, usability, and business requirements: everything from large-scale ML and training workloads, to financial data processing with strong controls Partner closely with CSPs, networking, and datacenter teams on infrastructure primitives Translate user needs into scalable, achievable system designs and drive alignment Make principled tradeoffs across durability, availability, consistency, performance, security, and cost, and document the reasoning so other engineers and teams can build on it Break large problems into deliverable milestones, and lead cross-functional teams to ship new capabilities safely at unprecedented speed Work across backend stacks, abstraction layers, and clients to provide users with simple, consistent interfaces no matter where data lives Plan and lead large migrations of critical workloads with user minimal disruption Participate in and improve operations, including SLOs, observability, capacity planning, incident response, and on-call Stay hands-on in code and production, including in the most critical and complex areas Minimum Qualifications Experience designing, building, and operating a large-scale distributed storage system in production, such as an object store, distributed file system, or block storage service. Deep understanding of storage system fundamentals, including: Replication and erasure coding, consistency models, metadata management, durability, failure handling, high availability, access controls, identity models, security approaches, abstraction layers, network requirements, multi-region considerations Experience serving as an owner, tech lead, or architect for a large, complex infrastructure system that orgs and customers depend on Strong software engineering fundamentals and hands-on coding ability in at least one systems language, such as C++, Rust, Go, or Java Experience operating and steering critical infrastructure at scale, including security, on-call, incident response, capacity planning, customer support, and cost efficiency Strong written and verbal communication skills, with experience driving alignment on technical direction and user-facing across multiple orgs and stakeholders 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 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada in EST time zones only at this time. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Canada, the Base compensation range for this role is CAD 211,450 - CAD 253,740 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 124,571 - EUR 149,485 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Ireland, the Base compensation range for this role is EUR 133,600 - EUR 160,320 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 106,680 - EUR 128,016 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 996,819 - SEK 1,196,182 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 117,949 - GBP 141,539 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA in EST time zones only at this time. Senior Engineering Manager, Grafana Frontend The Opportunity: Grafana is an open-source observability product and a platform that teams and plugin developers build on. The Frontend group shapes its user experience (from dashboards and visualisation to navigation, search and sharing) and the foundations that support engineering teams and community contributors across the Grafana ecosystem. As Senior Engineering Manager, you’ll lead the Frontend Platform and Navigation squads, owning their performance, delivery and customer outcomes. Frontend Platform enables teams to build reliable, high-quality experiences; Navigation helps users find and organise resources and move confidently through Grafana. You’ll develop senior engineers, partner with Product and Design, and improve how teams work, including through AI and automation. We use Cloud-first rollout and experimentation to learn quickly, bringing relevant improvements to OSS and Enterprise. AI Notice: We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What You’ll Be Doing: Be accountable for the performance of two distributed engineering squads: set clear expectations, delegate effectively, coach and develop each team member, give timely feedback, address performance gaps and build a culture of trust and accountability. Own hiring and team planning across both squads, aligning team capacity and skills with product priorities and longer-term needs. Lead discovery with your squads: engage directly with customers, community members and internal users, combine their feedback with research and usage evidence, and use those insights to shape roadmaps and priorities. Partner with Product, Design and engineering leaders to set priorities, resolve dependencies and make trade-offs between customer needs, long-term investments and operational demands. Own delivery across both squads from discovery through rollout and measurement: set milestones, surface risks early and intervene when commitments are at risk. Use AI regularly in your management work to synthesise research and feedback, inform roadmap and resourcing decisions, and streamline coordination, reporting and follow-through. Improve how the squads plan, make decisions and deliver. Lead the adoption of AI and automation across engineering and operational workflows, evaluating their impact on delivery speed, quality and time spent on repetitive work. Set engineering direction with senior engineers for the frontend foundations owned by your squads, including developer experience, accessibility, architecture, tooling, reliability and multitenant capabilities. Set engineering direction for navigation, search and resource organisation, including where AI-assisted discovery can help users find what they need. Set and uphold engineering standards for quality, security and operability, including how teams evaluate and validate AI-assisted work. Lead improvements across Grafana and R&D that increase engineering productivity and improve business outcomes. Participate in the engineering management on-call rota, coordinate responses and drive improvements that reduce recurring disruption. Regularly use Grafana’s AI capabilities for observability, incident investigation and management, bringing that experience into product feedback and roadmap decisions. What Makes You a Great Fit Significant experience managing senior engineers, building healthy teams and developing technical leaders. You give clear feedback and address performance gaps directly and fairly. A strong technical foundation in modern web or frontend systems, enabling you to evaluate technical trade-offs and shape architectural and engineering-quality decisions with senior engineers. A track record of turning ambiguous, cross-team problems into clear priorities and measurable results, managing delivery risks and operational demands. Strong product and customer judgement, with the ability to connect engineering investments to user, developer and business outcomes. Clear, concise written communication and the ability to work effectively in a remote, globally distributed organisation. An appreciation for open-source development and the judgement to balance Cloud-first delivery with the needs of customers, community members and internal teams. Practical experience using AI and automation in your own leadership work, and leading teams to adopt them effectively. Bonus Points For Experience with React, TypeScript or comparable large-scale frontend ecosystems. Experience leading a developer platform team, including support for plugins or extensions. Experience with navigation, search, information architecture or resource-management products. Experience delivering multitenant SaaS or major platform migrations. Experience working on a widely adopted open-source product. Compensation & Rewards: In the United States, the Base compensation range for this role is USD 208,602 - USD 250,322 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are seeking a Staff Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity. Where you will work: Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ. What you will do: Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development The ideal candidate has: Exceptional Technical Judgment: Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture Strategic Problem-Solving: Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction Influential Stakeholder Management: Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners Drive for Innovation: Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure Reliability Under Pressure: Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Technologies we use: Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare. Compensation Transparency: The target salary range for this position is $258,000 - $310,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. 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. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: Remote (US) About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role Ondo operates real-time trading systems that run around the clock across traditional and crypto venues. The platform spans low-latency Rust engines, a fleet of Go services for trading, execution, and PnL accounting, and a multi-region Kubernetes footprint on AWS. We are looking for an SRE with strong systems programming skills to own the reliability, observability, and performance of this platform. This is a hands-on role: you will read and modify Go and Rust code, debug latency regressions down to the feed handler, run incident response during market hours, and build the automation that keeps a 24/7 trading system healthy with a small team. Target outcomes Own production reliability for real-time trading services: trading engines, execution gateways, market data ingestion, and PnL/reconciliation pipelines Operate and evolve our multi-region Kubernetes clusters on AWS (EKS), deployed via GitOps (Flux) with SOPS-encrypted secrets Build and refine observability: Prometheus metrics and alerting, Datadog logs and dashboards, and the SLOs that catch degradation before it costs money Improve deploy safety: progressive rollouts, config-reload behavior, and guardrails that prevent a bad push from touching live trading Responsibilities Debug production incidents end to end: stale market data feeds, exchange rate limits, WebSocket disconnects, order-lifecycle desyncs, and latency regressions in the trading path Harden market data ingestion from providers such as Databento and venue-native feeds (REST and WebSocket), including staleness detection, failover, and replay Build reconciliation and data-integrity tooling across live gauges, Postgres, and our S3 parquet data lake, so positions, fills, and PnL always agree Participate in an on-call rotation covering US equity market hours and 24/7 crypto venues Requirements 5+ years in SRE, production engineering, or infrastructure roles, with meaningful time supporting real-time or latency-sensitive systems Strong programming ability in Go or Rust, and willingness to work in both; this role changes application code, not just infrastructure Deep, hands-on Kubernetes and AWS experience: you have run stateful, latency-sensitive workloads in production, not just stateless web services Strong observability instincts: fluent PromQL, structured-log analysis, and experience designing alerts with high signal and low noise Solid Linux internals and networking fundamentals: you can chase a p99 regression through the kernel, the NIC, or the GC Sound judgment under pressure and clear written communication during and after incidents Nice to haves Experience operating trading systems, execution infrastructure, or market data infrastructure at a trading firm, exchange, or broker Familiarity with market microstructure and order lifecycle (order books, order types, fills and reconciliation) Experience with market data providers and protocols (Databento, SIP/prop equity feeds, venue WebSocket APIs) Exposure to crypto venues and on-chain trading Python for operational tooling and data analysis (pandas, parquet, BigQuery) Experience with GitOps workflows, infrastructure as code, and secrets management at scale Tech stack Go, Rust, Python | Kubernetes (EKS), Flux, SOPS | AWS (multi-region), S3 parquet lake | Prometheus, Grafana, Datadog | Postgres, CockroachDB, BigQuery | Databento, venue WebSocket/REST feeds What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

Location: Lithuania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: London, England, United Kingdom; Warsaw, Mazowieckie, Poland; Limassol, Cyprus Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. As the Head of Risk UK (Crypto), you will build and lead the independent second line risk function for Capital.com's  digital assets business in the UK. This is a dual-hat role. Alongside this UK mandate, you will act as deputy to the Group Head of Risk (Digital Assets) and take primary ownership of building the Group’s financial and prudential risk framework, which will be applied across the Group’s regulated entities as they are onboarded.You will report to the Group Head of Risk (Digital Assets), set the local risk direction, maintain the risk appetite within Group boundaries, and ensure the business operates within approved limits while it scales. This position carries regulatory responsibilities and is expected to be subject to FCA fit and proper assessment, with senior management accountability expected to formalise as the UK cryptoasset regime transitions into the FSMA authorisation framework. You will be accountable for risk governance, effective oversight of prudential and market risks, and ensuring growth is matched by strong controls, clear escalation, and Board level visibility Responsibilities Strategic Risk Leadership: Own and drive the UK risk strategy, aligned with the Group risk strategy, the business plan, and FCA expectations. Set and maintain the local risk appetite within the boundaries of the Group Risk Appetite Statement Financial and Prudential Risk (group ): Own and lead the Group's financial and prudential risk framework - credit, liquidity, capital, cost, market, and concentration risk . Lead the Group and entity ICARA (or equivalent) processes end to end, including capital planning and wind down planning. Stress Testing and Scenario Analysis: Design and lead the stress testing programme covering crypto market shocks, client behaviour, liquidity withdrawal, counterparty failure, and operational disruption. Counterparty and Credit Risk: Set and monitor risk limits for crypto liquidity providers, exchanges, custodians, and banking partners. Oversee counterparty due diligence, concentration risk, and contingency planning for counterparty disruption. Custody and Safeguarding Risk: Provide second line oversight of crypto-asset custody arrangements, key management, client asset safeguarding, and on-chain settlement risk. Operational Risk and Controls: Oversee the UK RCSA cycle, incident and issue management, control testing, and KRI monitoring in the Group GRC platform. Technology and Resilience Risk: Provide oversight of operational resilience, cybersecurity risk, and change management, leveraging group technology risk arrangements. Outsourcing and Third Party Risk: Oversee UK's critical third party arrangements, including custody, cloud, and blockchain analytics providers. Ensure robust due diligence, ongoing monitoring, and exit plans. Monitoring and Reporting: Maintain the UK risk register and KRIs. Deliver decision ready reporting to the UK Board and Audit and Risk Committee, including appetite breaches, emerging risks, incidents, and remediation progress. Regulatory Alignment: Maintain close relationships with the FCA and support regulatory submissions, inspections, and remediation of findings. Ensure audit readiness and disciplined evidence management. Requirements Crypto-Assets & Digital Assets (essential): Proven, hands-on experience with crypto-assets and digital assets is required for this role. Education & Experience: Experience in risk management within regulated financial services, with required, demonstrable depth in financial and prudential risk — credit, liquidity, capital, market, concentration, and cost risk. Brokerage or trading platform experience is an advantage. Regulatory Knowledge: Strong expertise in FCA requirements, including the UK cryptoasset regime, prudential frameworks (IFPR, ICARA or ICAAP). Prior FCA approval or fit and proper clearance is a strong advantage. Outsourced Service Management: Proven experience managing outsourced or shared service risk functions: defining service requirements, monitoring delivery quality, and escalating shortfalls. This is a critical differentiator for this role. Governance: Proven experience engaging with Boards and committees, managing escalation processes, and supporting regulatory inspections and audits. Technical Strength: Strong command of capital adequacy, liquidity and market risk, stress testing and scenario design, wind down planning, and counterparty risk. Understanding of crypto market structure, custody models, and on-chain risk is highly valued. Leadership: Proven ability to build and lead an independent risk function in a fast-paced environment, deputise credibly at group level, and challenge senior stakeholders with clarity and discipline. Integrity: High ethical standards, independence of judgment, and ability to meet FCA fit and proper expectations. Professional risk qualifications (FRM, PRM, CFA) are an advantage. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry. Applicable for Poland: Our company has an Internal Reporting Procedure. It is available from the Human Resources Department upon request hr@capital.com. You may report a violation referred to in the Procedure under the terms specified therein.

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Role As a Senior Enterprise Security Engineer, you will lead the design and operation of security controls that protect our internal networks, workforce identities, endpoints and corporate systems. You will be working globally with security teams across US, EU and APAC, delivering against our goals and objectives - reducing risk and maturing controls. As a Senior, you will operate with a high degree of autonomy. You will define technical direction, make architectural decisions, and deliver complex security initiatives end-to-end. You will be expected to balance risk reduction with usability, ensuring controls are robust without impeding employee productivity. This role focuses on Identity and Access Management (IAM), Endpoint security (EDR), Network Security, logging and detection engineering, and secure SaaS enablement. You will work closely with IT, Legal, Privacy, Engineering and business stakeholders to embed security as a default practice across the organisation. Security controls will be aligned to recognised frameworks such as the CIS Critical Security Controls and the NIST Cybersecurity Framework (CSF). Key Responsibilities Architecture & Control Implementation: Design, deploy, and maintain core corporate security controls, including phishing-resistant MFA, Just-In-Time (JIT) access, strict role-based access control (RBAC), zero-trust architectures, device and identity bound proofing and modern network isolation. Tooling Ownership: Serve as the technical owner for a broad suite of corporate security systems, managing deployments, configurations, and API integrations for tools across the corporate environment. Technical Leadership: Lead and implement the technical strategy for Endpoint Device trust, Data Loss Prevention, Intellectual property storage, and SaaS application security. Alongside wider corporate security technical controls. Automation & Engineering: Write scripts and build tools to automate security workflows, incident response tasks, and audit evidence collection for compliance. Cross-Functional Collaboration: Work with IT and business operations to integrate security tools into everyday workflows. Guide non-security teams to adopt secure baselines (e.g., CIS Benchmarks) as standard practice. Mentorship: Mentor junior and mid-level engineers, explain technical concepts clearly to non-technical staff, and help improve the team's engineering standards. Minimum Qualifications Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or equivalent practical experience. 5+ years’ experience in Security Engineering, Corporate Security, Detection & Response, or a related field. Hands-on experience administering IAM platforms (e.g. Okta, GoogleWorkspace). Deep hands-on experience with GoogleWorkspace products Practical hands-on experience with Cloud platforms (e.g AWS, GCP) Relevant and practical experience with Infrastructure-as-code (e.g Terraform) Experience implementing modern authentication standards (FIDO2, WebAuthn, SAML, OAuth 2.0, OpenID Connect). Practical experience securing macOS, Windows and Linux endpoints using MDM and EDR/XDR tooling. Experience operating SIEM and/or SOAR platforms and tuning detection logic. Experience with vulnerability management and patch governance. Ability to write production-quality automation scripts. Demonstrated experience leading cross-functional technical initiatives. Desirable Skills Experience with SASE or Zero Trust Network Access platforms. Hands on experience deploying applications into K8 and Docker environments Data Loss Prevention (DLP) and SaaS security governance. Advanced detection engineering or SOAR playbook development. Experience supporting ISO 27001 or SOC 2 audits. Relevant certifications (e.g. CISSP, CISM, GIAC). Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day. From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale. We’re looking for a Software Engineer, Backend to join our London team. This role is based in our London office with a hybrid setup, typically 3 days in the office. Get to know our Engineering team — what drives us, how we work, and what you can expect. About the Team The Core BI team builds and operates the services, integrations and automation that power business intelligence across DoorDash, Deliveroo and Wolt. Our platforms help analysts, Analytics Engineers, Data Scientists, Software Engineers and business teams discover trusted data and make informed decisions at scale. We combine software engineering, platform ownership, and a strong user focus to make BI tooling reliable, secure, scalable and self-service. The team supports the current BI ecosystem while helping shape a more integrated experience across the DoorDash group. About the Role As a Software Engineer on the Core BI team, you will build and operate the backend services, APIs and infrastructure our BI platforms run on. This is a hands-on software and platform engineering role: services and integrations, identity and access automation, observability, reliability and developer experience. BI is the domain you serve (primarily Looker and Sigma, and the systems around them), but the problems are backend and platform problems. You will own problems from discovery through design, implementation, deployment, and operational support. You will work closely with Data Engineers, Analytics Engineers, Data Scientists, Software Engineers, Product Managers and business teams to turn recurring user needs into durable, self-service capabilities. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you! You’re excited about this opportunity because you will… Design, build, test, deploy and operate the backend services, APIs and automation that the BI platforms across DoorDash, Deliveroo and Wolt depend on Automate the platform lifecycle end to end (provisioning, metadata, permissions, migrations, archival and validation) so administration stops being manual work Build the integrations between BI platforms and the wider ecosystem: warehouses, identity providers, orchestration, CI/CD and internal developer tooling Improve the availability, observability, performance, scalability and security of the systems you own, and carry them in production Use AI tooling as part of how you engineer, and where it fits, build LLM-backed capabilities held to the same reliability and governance bar as anything else we ship Raise the engineering bar on the team, from service design and code review to testing, CI/CD and documentation, and improve the developer experience for everyone building on the platform We’re excited about you because… 3+ years of professional software engineering experience building and operating production backend, platform or infrastructure systems Readable, maintainable, well-tested code in Python, plus comfort with SQL and a working understanding of data modelling and warehousing concepts Experience building and owning APIs, integrations or automation in production, with sound judgement on service boundaries, authentication, data contracts and failure modes Hands-on with CI/CD, containers and Kubernetes, observability, debugging and incident response, and you expect to operate what you build Hands-on experience using AI tools (LLMs, agentic workflows, AI-assisted development) as part of how you engineer, and judgement about where they help and where they do not End-to-end ownership of ambiguous problems, clear communication with technical and non-technical teams, and comfort self-organising in a fast-paced, distributed environment Nice to Have Experience owning or integrating with BI platforms such as Looker, Sigma or comparable tools, and familiarity with semantic layers such as LookML or dbt Experience automating identity and access through Okta, SCIM or role-based access controls, or building multi-tenant platforms across brands and regions Experience shipping LLM-backed features to real users (retrieval, grounding and evaluation), or with MCP, agent frameworks or tool-calling in production Why Join Us? At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. ➡️ Want a deeper look at how we build? Check out our Tech Blog . We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .