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Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention.   Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue.   KEY RESPONSIBILITIES - Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. - Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). - Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, and technical evaluations alongside the partner motion. - Partner Acquisition & Development: Lead technical demonstrations and deep-dives for prospective partners, support recruitment as the technical closer, and elevate existing partners by showcasing new platform capabilities that expand their practice opportunity. - AI & Certified Agents: Enable partners to identify, scope, and sell Certified Agent opportunities, deliver AI transformation workshops, and serve as the regional bridge between the internal AI/Agent team and the partner ecosystem. - Events & Marketing: Lead or support partner-driven events (workshops, in-market tours, executive dinners), develop enablement content, and contribute to partner case studies and proof points. - Reseller-Model Support: Support partner-owned billing, procurement, and renewal workflows, enable partners on expansion motions, and coordinate with Professional Services on co-delivery oversight and escalation paths. - Internal Collaboration: Work cross-functionally with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, assist with RFPs, and feed partner insights back into product and process improvements.   QUALIFICATIONS - 8+ years of experience in enterprise pre-sales, solutions engineering, sales engineering, solutions consulting, or a comparable customer-facing technical role. - 2+ years supporting or enabling channel partners, VARs, system integrators, or working in a partner-led go-to-market motion. - Demonstrated ability to build programs from scratch (not just execute existing ones). - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Experience designing or explaining solutions involving APIs, web services, automation, integrations, workflow configuration, or lightweight technical validation. - Strong background in business process mapping, including the ability to analyse, document, and improve complex business processes across diverse environments. - Ability to create credibility with partners, AEs, and customers, handle objections thoughtfully, and act as a trusted advisor. - Hands-on experience with AI & LLMs, integration platforms (Unito, Workato, Zapier, Integromat), web services, and APIs. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Up to 50% of travel is required for this role. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering. In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations. Key Responsibilities Scientific & Clinical Data Platform Architecture Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS). Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models. Process Engineering & Manufacturing Integration Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems. Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms. Enterprise Data Engineering & Compliance Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL. Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment. Technical Leadership & Domain Alignment Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications. Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering. Domain Adaptability: Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, PySpark, and expert-level SQL. Data Platforms: Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems. Orchestration & ETL: Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines. Data Pipelines: Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations. Domain Competency (Scientific & Process Focus) Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) OR chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional. What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure. Not a non-coding Architect: This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Задачи: — Техническое лидерство backend-команды и координация разработки корпоративных микросервисов и интеграционных решений. — Проектирование архитектуры backend-решений для внутренних и клиентских продуктов компании. — Формирование и контроль технических стандартов разработки, code review и инженерных практик. — Принятие архитектурных решений по интеграциям, взаимодействию сервисов и обработке данных. — Проектирование и развитие REST/gRPC API и event-driven взаимодействия между сервисами. — Организация интеграции с внутренними системами компании и внешними сервисами (Kafka, HTTP API, очереди сообщений). — Контроль качества реализации бизнес-логики и соблюдения принципов DDD и Clean Architecture. — Оптимизация производительности backend-компонентов, PostgreSQL и Kafka. — Организация процессов сопровождения production-среды и устранения технических инцидентов. — Участие в планировании roadmap, декомпозиции задач и технической оценке инициатив. — Наставничество и развитие backend-разработчиков команды. — Взаимодействие с аналитиками, QA, DevOps и владельцами смежных сервисов. — Контроль технической документации, API-контрактов и архитектурных описаний. — Управление техническим долгом и инициативами по модернизации платформы. — Координация и технический контроль работы внешних подрядчиков и распределенных команд разработки. — Проведение code review и merge request review по задачам, реализуемым внешними командами. — Контроль соблюдения подрядчиками архитектурных стандартов, требований безопасности, качества кода и внутренних процессов разработки. — Участие в приемке результатов разработки, технической валидации решений и контроле устранения замечаний по результатам review. Требования: — Опыт коммерческой backend-разработки на Python не менее 5 лет, другие языки не рассматриваем. — Опыт работы в роли Руководителя отдела разработки на Python или технического лидера команды от 1–2 лет (команда от 10 человек). — Практический опыт проектирования микросервисной архитектуры и высоконагруженных backend-систем. — Опыт проектирования и сопровождения распределенных систем и интеграционных решений. — Опыт работы с PostgreSQL, оптимизацией SQL-запросов и проектированием схем данных. — Практический опыт работы с Kafka и event-driven архитектурой. — Опыт разработки и сопровождения REST/gRPC API. — Опыт организации CI/CD процессов и контейнеризации приложений. — Опыт проведения code review, технического менторинга и управления качеством разработки. — Опыт взаимодействия с подрядчиками и приемки результатов внешней разработки. — Опыт взаимодействия с DevOps, аналитиками и смежными командами. — Опыт сопровождения production-среды и устранения инцидентов. Условия: — Оформление согласно ТК РФ — Заработная плата обсуждается с финальным кандидатом — Работа в офисе, график 5/2 с 10.00 до 19.00 — Офис в Москва-Сити (м. Деловой Центр) — Испытательный срок – 3 месяца — ДМС, Питание, Спорт, Мобильная связь — Обучение и развитие — Культурный клуб «Capital Discovery» — Корпоративные мероприятия — Корпоративные скидки от партнеров компании

About OkWhen OkWhen builds technology that powers live, virtual, and hybrid events. Their platform supports conference management, registration, payments, mobile apps, content libraries, webinars, LMS functionality, CEU tracking, sponsor management, and operational workflows. The Outcome We’re Hiring For You will own meaningful parts of the application and consistently deliver reliable software without requiring constant supervision. You will improve system performance, reduce technical debt, and turn operational problems into simple, maintainable products. This role requires understanding the existing system, making sound technical decisions, and following work through from discovery to production. Responsibilities: — Design, build, test, deploy, and maintain production software — Develop backend services and APIs using C# and ASP.NET/.NET — Build and maintain web applications using Angular — Design, optimize, and troubleshoot SQL Server databases and queries — Maintain and extend mobile applications using .NET MAUI — Investigate and resolve production issues — Improve application reliability, performance, security, and observability — Write automated tests and maintain technical documentation — Participate in code reviews and establish engineering standards — Collaborate with product, operations, and event-production teams — Break ambiguous business problems into clear technical plans — Use AI-assisted development tools responsibly to improve speed without sacrificing quality Requirements: — 7+ years of professional software development experience — Strong commercial experience with C#, .NET, and ASP.NET Core — Strong experience with Angular and TypeScript — Advanced working knowledge of SQL Server, database design, and query optimization — Production experience with .NET MAUI or Xamarin — Experience designing and consuming REST APIs — Experience with Git, CI/CD, debugging, and automated testing — Demonstrated ability to work independently in an existing codebase — Strong written and verbal communication — Comfortable owning outcomes, not just completing assigned tasks Preferred Qualifications: — Experience with SaaS platforms — Experience with event management, registration, payments, LMS, or communications systems — Cloud experience with Azure or AWS — Experience with distributed systems, queues, integrations, or real-time applications — Experience modernizing legacy applications — Experience mentoring other developers Conditions: — Health Care Plan (Medical, Dental & Vision) — Retirement Plan (401k, IRA) — Paid Time Off (Vacation, Sick & Public Holidays) — Family Leave (Maternity, Paternity) — Training & Development — Work From Home

Location: Washington, DC 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 As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion. Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage. Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems. Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion. The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions. Key responsibilities: Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation) Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced) Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours') Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy You may be a good fit if you have: Due to U.S. Government contract requirements, this position requires U.S. citizenship and an active TS/SCI security clearance with a current full-scope polygraph (a TS/SCI with CI polygraph may be considered where crossover is supportable) Must have prior experience working with US national security (defense and/or intelligence) agencies —ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators) 5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player 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: $265,000 — $350,000 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: Remote - US About the Job: The Enterprise Acquisition Account Executive will drive LaunchDarkly's growth by acquiring new enterprise customers through 100 percent net new logo generation. Owning a defined territory, you will develop and execute strategic account plans, generate new opportunities, and deliver tailored solutions that demonstrate LaunchDarkly's value. This role is ideal for someone who thrives on breaking into greenfield accounts and closing new business. Responsibilities: Territory Management: Develop and maintain comprehensive territory and account plans. Pipeline Generation: Secure consistent new opportunities through targeted outreach and account research. Revenue Growth: Achieve quarterly revenue and new logo acquisition targets. Customer Engagement: Build strong relationships with champions and decision-makers, developing compelling business cases. Collaboration: Work with SDRs, SEs, and other teams to ensure seamless execution and customer success. Strategic Thinking & Execution: Design and execute long-term strategies that drive business growth within a defined territory. Identify and capitalize on market opportunities and align them with company objectives. Adapt strategies as market dynamics evolve, ensuring continuous growth and a competitive edge. Enterprise Sales Expertise: Proven track record in enterprise sales, including lead generation, opportunity identification, negotiation, and closing high-value deals. Deep understanding of the enterprise sales cycle and the ability to manage complex, multi-stage deals. Skilled in selling to C-suite executives and senior decision-makers, developing customized solutions that address business needs. Customer-Centric Problem Solving: Assess customer pain points and design tailored solutions that create measurable value. Build long-term relationships with key customers, acting as a trusted advisor to solve their business challenges. Overcome obstacles and find innovative solutions to meet customer needs. Independent Decision Making: Work autonomously with minimal day-to-day supervision, making sound decisions based on analysis of data and situational factors. Take ownership of the territory, managing customer acquisition with confidence and minimal instruction. Prioritize tasks and make decisions quickly, ensuring alignment with broader business goals. Analytical Skills & Data-Driven Insights: Analyze market data, sales metrics, and customer insights to inform strategies and decision-making. Evaluate diverse factors to identify trends, resolve complex issues, and optimize sales efforts. Use CRM and sales tools to track and analyze performance. Negotiation & Deal Structuring: Negotiate large-scale, complex contracts, balancing customer needs with company goals. Create mutually beneficial agreements that result in long-term business relationships. Handle objections, overcome resistance, and close deals in a competitive market. Communication & Influence: Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders. Present solutions and negotiate with C-suite executives, ensuring clear understanding and alignment. Communicate complex ideas concisely and compellingly to diverse audiences. Collaboration & Team Leadership: Collaborate effectively with cross-functional teams, including marketing, product, and customer success, to align efforts and drive growth. Demonstrate leadership in managing internal resources, ensuring alignment with company goals. Motivate and influence team members across departments to achieve common objectives. Results-Driven Focus: Maintain a strong focus on achieving measurable sales outcomes and consistently meeting or exceeding targets. Demonstrate motivation by performance metrics and commitment to continuous improvement. Take ownership for results, holding oneself accountable for achieving objectives. Qualifications: 8+ years of sales experience, with a focus on net-new logo acquisition. Proven success in selling technical solutions to CIO/CTO-level personas in competitive or unbudgeted environments. Strong track record of exceeding quotas and managing complex sales cycles. Understanding of IT infrastructure and organizational structures. Expertise in account planning, stakeholder mapping, and value articulation. Proficiency in sales methodologies like discovery frameworks and cost justifications. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $269,400 - $370,480 ** Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500 - $333,410 ** Zone 3: All other US locations - $229,000 - $314,930* * LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: USA (Remote) Workplace: Remote Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value. Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact. Mysten Labs is looking for a Staff Product Designer to set the experience strategy for the DeepBook financial stack and the first-party products built around it, spanning spot trading, margin, prediction markets, liquidity, and the workflows that connect users and builders to onchain finance on Sui. This role requires strong product judgment, exceptional design craft, people leadership, and real fluency in financial markets and DeFi. You will work with product and engineering from strategy through launch, build a design team that can cover a growing product surface, and stay close enough to the work to lead critical product flows yourself. The right person knows how to make complex financial systems clear without removing the information users need to assess risk. You should be comfortable designing for retail and professional users, working through technical and regulatory constraints, and using research and product data to improve adoption, execution quality, retention, and trust. What You Will Do - Set the design vision, principles, and priorities in partnership with product, engineering, and business leadership. - Own the end-to-end experience across DeepBook spot, margin, prediction products, liquidity workflows, and related first-party applications. - Lead the design of core journeys including onboarding, funding, market discovery, order entry, transaction review and signing, portfolio and position management, collateral, liquidation risk, settlement, and recovery from failed states. - Design for distinct audiences such as retail traders, experienced DeFi users, market makers, liquidity providers, institutions, and developers without creating a fragmented product experience. - Remain hands-on in the highest-priority work by framing problems, developing concepts, prototyping, testing, and reviewing implementation quality. - Build a scalable design system and shared interaction patterns for dense financial data, charts, tables, order entry, account states, alerts, and risk communication. - Establish a practical research program using interviews, usability studies, product analytics, support feedback, and market observation. - Partner with engineering to understand protocol behavior, transaction states, latency, data dependencies, security boundaries, and platform constraints. - Work with legal, security, marketing, business development, and ecosystem teams to launch products responsibly and communicate financial concepts accurately. - Define design and product quality measures, then connect the team's work to activation, conversion, trading success, retention, support burden, and user trust. What You Will Have - 10 or more years of product design experience, including meaningful experience leading, hiring, and developing designers in a fast-moving product organization. - A portfolio that shows both exceptional individual craft and leadership impact across complex, data-dense products. - Experience designing trading, investing, fintech, payments, crypto, marketplace, or other high-stakes products where users make consequential decisions. - Fluency in DeFi and direct experience using onchain products. You can discuss swaps, order books, liquidity, routing, slippage, collateral, leverage, liquidation, settlement, smart-contract risk, and transaction signing. - Strong product judgment and a record of shaping strategy, prioritization, and product decisions with product and engineering partners. - Skill in interaction design, information architecture, visual design, prototyping, research, and systems thinking. - Experience building design systems and operating practices that improve consistency and delivery across multiple products. - Comfort working through ambiguity and making progress while product, technical, market, and legal inputs continue to change. Nice to Have - Experience leading design for an exchange, order book, derivatives or margin product, prediction market, wallet, aggregator, or institutional trading platform. - Experience with both retail and professional trading experiences, including charts, market data, portfolio analytics, and execution workflows. - Familiarity with Sui, Move, programmable transaction blocks, DeepBook, Slush, or object-based blockchain architectures. - Experience designing products in legally complex or regulated financial categories. - Prior experience as a founder, design executive, principal designer, trader, DeFi power user, or ecosystem operator. Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information. Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers. To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. ABOUT THE ROLE We're looking for a Senior Product Manager to join the team working on analytics features in RevenueCat. RevenueCat is the monetization engine for 40% of new subscription apps shipped — and the number of apps shipped is growing exponentially. We are uniquely positioned not only to give individual developer impactful information into the performance of their own apps, but also deliver truly unique data and insight given our position in the market; we know what good looks like, and we can not only put numbers in context, but give specific recommendations on metrics to target, experiments to run and anomalies to investigate. Our analytics features help app developers make better decisions that improve the monetization of their apps. As product manager on this team, you are responsible for working with your team to set the vision and roadmap, delivering on it, launching new functionality, and increasing the impact of the team. This role requires: - being technical to understand how our analytics system works and its constraint - being analytical to be able to define how to show data as well as debugging issues and edge cases - being customer obsessed to understand what information app developers need for their decisions and how we can provide this information to them - having an understanding of the app ecosystem, how the economics of app businesses work, and what success means for app developers You will oversee all of the Analytics features at RevenueCat — our charts, benchmarking, dashboard, and predictive LTV. You'll partner directly with leadership, collaborate across engineering and data teams, and act as the primary driver for how our customers understand and grow their revenue. ABOUT YOU Skills & Experience - You have 5+ years of product management or adjacent experience, with meaningful time shipping complex products. - You’re analytical. You can’t do your job without data platform access. You are proficient in SQL (or similar tools) — whatever tool you need to know, you’ll learn. You love diving deep into data yourself. You’re experienced in developing robust and scalable metrics. - You are technical. Coding is not a core requirement for this role, being able to prototype with code is (using your preferred AI stack). You can deeply understand how RevenueCat works — what is simple and what is complex within our domain. Maybe you haven’t built and shipped a mobile app yourself (yet) but you have enough knowledge to work closely and independently with highly technical folks. You can discuss APIs, data models, and risk logic with engineering partners and enjoy diving into system details - You’re an excellent communicator. You can express complex ideas clearly and succinctly — written and verbal, synchronous and asynchronous, across timezones and mediums. You can get your point across. Values and Abilities - You act like an owner. You roll up your sleeves, dive into the logs, and get something done yourself. - You thrive in ambiguity. You are comfortable making low-information, high-stakes decisions. You can quickly get to confidence, move on, and iterate. - You're a systems thinker. You can step back from a specific customer request and see the broader system. You build things that scale. - You're deep on the details. You care about what users experience, not just what the data says. - You know when it's good enough. You are obsessed with getting things right, but you know when you're at diminishing returns. You have a bias toward shipping. You love building — and are energized by discovery, experimentation, and rapid iteration. - You’re passionate about great data visualization. Chart sins grind your gears. Your visualizations deliver meaningful insights. You care what is says — and what it looks like — and you know those things are dependent on each other. WHAT YOU'LL DO - Own the product strategy and roadmap for RevenueCat's Analytics products. - Be obsessed with your customers. You will triage and investigate complex data and analytics problems deeply, instead of fully delegating to engineering. Dig deep to understand what developers really want — distill signal from noise and good ideas from bad ones. - Recommend, develop and maintain new benchmarks and metrics that deliver value to our developers, and help them make more money. Be the go-to person when a number looks off. - Set the vision. Create a plan that is cohesive, intentional, and impactful. Break that down into meaningful chunks on a reasonable timeline. - Get it done. Collaborate closely with engineering, data science, and GTM teams to bring robust analytics and experimentation tools to market. This job can not be done alone, and will require deep understanding of the individual products and the infrastructure that hooks them together. The salary for this role is $230,000 USD. You can view our full Compensation Philosophy here https://www.notion.so/revenuecat/RevenueCat-Compensation-Philosophy-82b57cae23ab4c9bb62dfe4e933d32d0 for additional details. In the first month, you'll: - Get to know the product, customers, and team - Contribute to shipping a meaningful feature to thousands of developers - Be ramped up on ongoing projects in your teams Within the first 3 months, you'll: - Have formed a strong working relationship with your engineering manager and design counterpart - Have taken ownership of the roadmap and prioritization for your team (jointly with the engineering manager) - Work with your engineering manager and leadership to define quarterly objectives for your teams - Have shipped the first bigger feature end to end - Work with your team to discover opportunities and solutions to deliver value to our customers - Play an integral role in your team’s discovery and delivery processes - Understand the fundamentals of our tech stack and its complexities, and drive the evaluation feasibility/value tradeoffs in collaboration with your teams Within the first 6 months, you'll: - Have helped your team grow and become a high-performing, engaged team in line with our company values - Effectively collaborate with internal stakeholders of all levels - Be an expert of your areas of the product and the related customer needs, and instill customer empathy in your teams - Independently drive all product-related decisions in your area - Have contributed meaningfully to our knowledge of our customers and their needs, our industry, and important trends - Develop a longer term vision for your area of the product in line with the product strategy - Work with your teams to improve processes and interfaces with other teams Within the first 12 months, you'll: - Be ready to kill something you have shipped if we learned it didn't deliver the value we hoped - Explore completely new opportunities for how RevenueCat may provide greater value to our customers - Make meaningful contributions to our overall product strategy - Have delivered a material, business-impacting new benefit to our customers in your product area WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

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: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Staff Product Designer to lead design across the Content and Localization teams on our Build pillar. You’ll help shape Source by Webflow https://webflow.com/blog/introducing-source-by-webflow, our new platform where marketing teams and agents build and optimize digital experiences together. Source is where the hard work of web marketing happens: scaling what works, driving impact with every iteration, and keeping brand and content consistent as teams and agents move at speed. You'll own the Agentic CMS experience: a next-generation content layer that enables enterprise teams to manage content and deliver it across every site, channel, and AI agent they operate. This work spans the full content lifecycle, from authoring and governance to localization and publishing. This is a role for someone who thinks in systems, sweats the details, and gets excited about making complex content infrastructure feel simple — so marketers can move fast, agents can operate reliably, and every experience a brand ships stays coherent and on point. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent  - Exempt - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States  (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $191,700 - $230,000 - Zone B: $180,000 - $216,000 - Zone C: $168,300 - $202,000 - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - 209,000 - 251,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.  Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Senior Director of Product Design As a Staff Product Designer you’ll …  - Own the Agentic CMS experience end-to-end, from early discovery and UX strategy through prototyping, detailed execution, and making sure what we ship is great. Define how enterprise marketing teams author, organize, govern, and publish content across multiple sites and channels — and how that experience holds together as a coherent system, from the visual authoring surface to publishing workflows to localization. - Design for both humans and agents. Build surfaces that work for marketing teams operating at scale and for AI agents querying and composing against structured content, with the right controls, transparency, and trust signals for each. - Think in systems. The CMS touches nearly everything Webflow's enterprise customers do. Hold a coherent experience model across interconnected surfaces while making individual flows feel simple and obvious. - Work upstream. Partner with PMs, engineers, and researchers to shape what gets built. Align on content models, API affordances, and product strategy before pixels get pushed. - Raise the bar — in craft, process, and how you use AI to move faster without sacrificing quality. Present work to cross-functional partners and senior leaders, and bring a point of view on how the CMS connects to the broader Webflow platform. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience - 7+ years of product design experience with a portfolio showing recent, substantive work navigating ambiguous problems within complex products. You know how to make something complex feel obvious to the people using it. Experience with content systems, multi-user workflows, and agentic experiences is especially relevant.  - Systems thinking at scale. You've designed for interconnected surfaces where decisions in one place ripple across others, and  - Comfort with technical depth. You can engage meaningfully with engineers on API design, data modeling, and content architecture to ensure design and systems decisions are aligned. - Strong interaction and visual design craft, with fluency in AI-assisted workflows — prototyping in code, using AI tools to explore and communicate ideas faster, and comfort working where the line between design and production is increasingly blurry. You’ll thrive as a Staff Product Designer if you: - Can hold a long-horizon systems problem and still ship focused, high-quality work in the near term. - Communicate with precision and can influence product strategy and present tradeoffs to senior stakeholders without losing the room. - Combine strong craft with the humility to test your assumptions early and often. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: Poland; Brazil; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Slovenia; Lithuania; South Africa; Czech Republic; Hungary; Mexico; Chile; Slovakia; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.   Building the Future of Open Finance Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work.   The team Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Consumer Mobile team builds the Kraken app, the interface millions of people use to interact with their money. We work primarily in React Native, building products that make complex financial experiences intuitive, fast and trustworthy. We're a product-minded engineering team. Our engineers don't just implement requirements: they work closely with Product and Design to understand the problem behind them, challenge assumptions, shape solutions and measure whether what we ship actually improves the experience for our clients.   The opportunity - We're looking for a Senior React Native Engineer who thinks like a product builder. - You'll work across engineering, product and design to turn real client problems into thoughtful mobile experiences, comfortable starting with an ambiguous problem rather than a perfectly defined specification. - You'll own features end-to-end, from understanding the problem and shaping the solution through implementation, launch and iteration, using data and client feedback to drive improvements. - You'll build high-quality experiences in React Native across a financial product where responsiveness, reliability and trust matter, whether improving product discovery, creating trading experiences, or simplifying journeys. - You'll partner closely with Product and Design, contributing engineering perspectives early in the product-development process rather than waiting for finished requirements. - You'll work with APIs and real-time data to create responsive, data-rich mobile experiences, making thoughtful decisions around state management, rendering, performance and architecture. - You'll operate with the ownership and versatility of a product engineer, comfortable wearing multiple hats and moving between product problems and technical challenges. - You'll help raise the product-engineering bar across Consumer Mobile through technical discussions, code reviews, collaboration and by demonstrating strong product ownership.   What you bring - Strong React Native experience. You've built and shipped meaningful production applications using React Native and are comfortable making architectural and implementation decisions across a modern mobile codebase. - A product-building mindset with strong product judgment. You start with the client problem rather than the ticket, understand what we're actually trying to solve, know when to challenge requirements or simplify solutions, and work with Product and Design to turn ambiguous requirements into strong engineering solutions. - Evidence of product impact. You can explain not only what you've built, but why you built it and what happened afterwards. You're comfortable using metrics, experimentation and client behaviour to evaluate the impact of your work. - End-to-end ownership. You're comfortable working across the lifecycle of a feature: discovery, technical design, implementation, launch, measurement and iteration. - Comfort with data-rich applications. You've worked with APIs and dynamic or real-time data and understand the engineering considerations involved in turning that data into responsive client experiences. - Close collaboration with Product and Design. You enjoy working directly with designers and product managers, see building great products as a shared responsibility, and communicate effectively in written and verbal English across a globally distributed team. - Versatility and AI proficiency. You're comfortable moving beyond a narrowly defined engineering remit, use AI tools (Cursor, Copilot, Claude, etc.) thoughtfully to move faster while retaining ownership of engineering decisions and quality, and thrive in environments where you wear multiple hats. - A track record of taking loosely defined product problems and turning them into features or products that delivered measurable client impact.   Nice to have - Experience building products in fintech, trading, crypto, payments or another financial technology environment. - An understanding of how trading, investing or financial products work and an interest in the problems our clients are trying to solve. - Experience with real-time or streaming data and building interfaces where information changes rapidly. - Experience working across both mobile and web, bringing valuable perspective from broader frontend or product-engineering work. - Experience in a startup or small-to-medium-sized technology company where engineers work closely with Product and Design. - Native mobile experience in Swift or Kotlin and an understanding of when dropping below the React Native layer is the right engineering decision. - Experience improving application performance, responsiveness and reliability across a range of mobile devices. - A background in taking loosely defined product problems and turning them into products or features with measurable client impact.   Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice