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Location: Nicaragua; Ecuador; Honduras; El Salvador; Guatemala; Colombia We are seeking an articulate and experienced Front Desk Medical Virtual Assistant to support our client's Primary Care practice across multiple clinic locations. The ideal candidate has prior hands-on experience using eClinicalWorks (eCW) in a U.S. healthcare setting and is highly capable in managing patient scheduling, conducting insurance verifications, and applying basic CPT knowledge with clear enunciation for an older Medicare patient population. Key Responsibilities: Patient Call Management: Manage inbound and outbound patient calls efficiently via Intermedia Unite / UNITE VoIP with patience, warmth, and high voice clarity. Scheduling & Intake: Handle appointment scheduling, cancellations, and appointment coordination directly within eClinicalWorks (eCW) , actively encouraging walk-in patients to schedule in advance. Pre-Registration & Verification: Assist with patient pre-registration and perform thorough Verification of Benefits (VOB) prior to visits for Medicare, Medicare Advantage, and commercial plans. Multi-Location Support: Support multiple clinic locations while maintaining excellent patient communication, answering inquiries, and handling follow-ups. Clinical Administrative Support: Leverage clinical familiarity (including standard primary care CPT codes and visit types) to ensure accurate scheduling and intake routing. No medical billing duties required. Clinic Coverage: Provide reliable, uninterrupted coverage during all operating hours of the practice. Requirements EMR Expertise: Minimum 2+ years of mandatory hands-on experience using eClinicalWorks (eCW) in an active U.S. clinical environment. Healthcare VA Background: At least 2–3 years of experience working remotely as a Medical Virtual Assistant for a U.S. outpatient clinic. Clinical Knowledge: Practical familiarity with primary care procedures, standard CPT codes, and verification of benefits workflows. VoIP Software: Experience using cloud VoIP platforms (familiarity with Intermedia Unite / UNITE VoIP is preferred). Schedule Commitment: Full commitment to work all hours that the clinic is open without schedule conflicts, flexibility to work on weekends. 40 hours per week. Please note that this is a full-time contractor position (40 hours per week) with a starting pay rate of $6 per hour, depending on skill set and experience. The schedule is not set yet; the client needs the medical assistant to work all hours the clinic is open! Must be flexible to work on weekends.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative. You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today. This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging. What you’ll do in the role: Define AI product strategy in service of Honeycomb's vision Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations Help the product organization understand where and how AI creates genuine customer value vs. where it's hype Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code) Make informed bets about which AI technologies and approaches warrant investment Conduct research that bridges technology and customer reality Build deep understanding of how customers are adopting AI in their engineering workflows Identify patterns across customer conversations that signal future market needs Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream Enable AI innovation across the product portfolio Partner with product teams to identify high-value opportunities to leverage AI capabilities Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities Synthesize cross-portfolio learnings and socialize what's working (and what isn't) Evangelize the AI-observability connection Articulate Honeycomb's point of view on AI observability both internally and externally Help customers understand how observability needs evolve as they adopt AI Contribute to thought leadership through writing, speaking, and community engagement Build credibility with technical audiences who care deeply about how we use AI, not just that we use it What you’ll bring to the role: Proven AI product experience 5+ years in product management with at least 1+ year shipping AI/ML-powered products Track record of taking AI features from concept to customer impact, including things that didn't work Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge) Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped Strategic thinking with customer empathy Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy Comfort operating with ambiguity and making decisions without perfect information Pattern recognition across conversations—spotting what customers aren't yet saying clearly Strong judgment about when to say "no" or "not yet" despite exciting technology Technical credibility without needing to be the expert Enough technical depth to have earned respect from engineers and architects Genuine curiosity about how things work, paired with humility about what you don't know Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.) Understanding of observability principles and why they matter in production systems Communication and collaboration skills Excellent written and verbal communication—can explain complex ideas clearly to varied audiences Ability to influence without authority across product, engineering, and go-to-market teams Comfort presenting to customers, executives, and technical audiences Collaborative mindset that elevates others' work rather than centralizing control Curiosity and learning orientation Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly) Intellectual humility—you're more interested in learning than being right Excitement about the intersection of AI technology and real customer problems Energized rather than exhausted by the pace of change in AI Base Salary based on level of experience $272,739 — $320,829 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Beograd, Serbia Workplace: hybrid About the role We’re looking for a highly autonomous Senior Data & ML Engineer who wants to be the true owner of how data works for the teams they support, delivering solutions completely end-to-end, from initial scoping and design through to delivery, implementation, and full business adoption. Operating with full autonomy, you will work directly with both commercial stakeholders (Product, Finance, Operations, Compliance, and Marketing) and engineering teams. You will translate complex needs into well-defined and well-modelled data products, using scalable processes and pipelines, ensuring those solutions are trusted, documented, and actively used to drive business value. Beyond foundational data architecture, you will support and lead machine learning engineering efforts. You will lead machine learning engineering efforts by transitioning predictive models into production. This involves building the infrastructure, automated MLOps pipelines, and serving architectures required to deploy, monitor, and maintain machine learning solutions at scale. What You’ll Be Doing Data Engineering and Platform Design, build, and maintain data pipelines and transformations on Databricks using Python, PySpark, and SQL. Deploy, operationalize, and monitor machine learning models (MLOps) in production environments. Build and maintain data marts as the primary source of truth for key business domains. Apply data modelling practices (e.g., dimensional modelling, medallion architecture) to maintain data consistency and reusability. Implement data quality checks, monitoring, and alerting. Optimise pipeline performance and cost-efficiency. Lead and actively contribute to engineering standards and process improvements across the data team. Ownership and Stakeholder Management Act as the primary data partner for specific business areas, understanding their processes, goals, and pain points. Deliver end-to-end solutions, managing scoping, discovery, design, delivery, user adoption, and iteration. Gather and translate business requirements into technical solutions. Communicate with engineering peers and commercial stakeholders to define priorities and manage trade-offs. Identify opportunities where data or machine learning can improve decisions, efficiency, or customer outcomes. Enablement and Self-Service Build and maintain datasets that power reporting and dashboards in Preset. Onboard and support users on Preset to promote data self-sufficiency. Promote data practices, including data definitions, documentation, and governance. What You’ll Need to Be Successful 5+ years of experience as a Data/ML Engineer, with a track record of independently owning data/ML solutions from scoping to adoption. Proficiency in Python, SQL, and PySpark/Spark. Experience with modern data platforms, such as Databricks (Delta Lake, Unity Catalog, MLflow, workflows). Stakeholder management skills, with the ability to navigate commercial and engineering discussions, manage expectations, and drive cross-functional decisions. Data modelling skills and experience designing data marts for analytics and reporting. Experience building production pipelines with orchestration, testing, monitoring, and version control. Experience with BI tools (e.g., Preset, Tableau, Metabase, Power BI) and data usability principles. Demonstrated accountability for project outcomes and commercial impact. Clear, structured communication in English. Nice to Have Experience in ML Engineering, including deploying machine learning models to production, maintaining MLOps pipelines, and integrating models into data platforms. Experience in fintech, financial services, or payments, particularly regarding transaction, reconciliation, settlement, or regulatory reporting data. Experience with sensitive or regulated data and an understanding of data privacy and governance (e.g., GDPR). Experience with infrastructure as code (Terraform/Tofu), cloud platforms (AWS, Azure, or GCP), and data engineering CI/CD. Experience mentoring engineers or analysts. Interest in applying AI tools to improve data engineering productivity and quality. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

Обязанности: Проектирование и масштабирование распределённых микросервисов в Kubernetes. Управление потоками данных и очередями, интеграция и оптимизация Apache Kafka.

Разрабатывать и дорабатывать backend-сервисы по ТЗ от аналитиков и функциональных консультантов. Писать unit-тесты (обязательное требование).

📌 Что предстоит делать: • Разрабатывать и поддерживать мобильные приложения на React Native; • Участвовать в развитии web-приложений на React;

— Архитектура и развитие high-load backend-платформы; — Принятие технических решений, code review, performance;

Setting grand challenges for your field: identifying long-horizon open problems where Claude falls short of expert judgment, and defining what real progress on them looks like. Applying Claude to open problems in your domain, using test-time compute strategies and integrating the scientific tools and software your field relies on.

In this Role, you'll get to: Be hands on - its one of the job’s fundamental task, and most of our development managers are writing and reviewing code, giving expert level coaching and guidance to their engineers. It's important to have a love of engineering and a passion for building things elegantly and at scale.

As a Solutions Engineer at Onebrief, you work where mission, engineering, and compliance meet. You'll own technical solution design and deployment readiness, translating customer requirements into secure, scalable deployment architectures.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $162,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! You will be the first engineering manager for Growth Platform, and you’ll help shape its vision, starting with the Communications capability. Today, running a growth experiment requires engineering work, code rollouts, and manual coordination. We are creating a new Growth Platform team with two core missions: enable 10x more experiments at quality, and own the shared notification platform that powers all notifications and transactional emails across Figma. Together, these capabilities help teams experiment faster and deliver reliable, personalized communications to users across every Figma product. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Build and lead the team: Hire the initial engineers for the Growth Platform’s first team. Set the team’s culture, operating rhythm, and engineering standards. Mentor engineers, create career growth opportunities, and help scale the organization as scope expands Build capabilities that unlock new experiments: This isn’t about building an experimentation platform—it’s about building the product capabilities (personalized messaging, self-service publishing, cross-system integrations) that make it dramatically easier for teams across Figma to run growth experiments without engineering bottlenecks Leverage AI to scale quality and speed: Explore and integrate AI-driven approaches—for brand consistency checks, visual quality validation, copy generation, and experiment governance—that allow experiment volume to grow without proportional growth in manual review Provide hands-on technical leadership: Guide architecture decisions, review system designs, and make build-vs-integrate choices Partner across the company: collaborate with Marketing to align on cross-channel messaging, partner with growth teams to identify platform capability needs, and work with product teams to ensure growth messaging improves rather than detracts from the end-user experience Shape the platform vision: Define what to build next based on adoption, impact, and what you learn from each phase. The roadmap will evolve as we learn—you’ll be central to how it evolves We'd love to hear from you if you have: 3+ years in engineering management, with a strong track record of building and shipping application platforms 7+ years of software engineering experience at the application or product tier Experience driving outsized impact from small changes—say, a UI layout change that lifted growth 20%—and energized by enabling such wins at 10x scale Demonstrate strategic insight to optimize impact for both longer and short term. Ability to operate effectively in ambiguous environments, delivering continuous value while building toward a longer-term platform vision Track record of prioritizing by impact, leveraging existing assets to accelerate, and scaling through platform-level thinking Experience working cross-functionally with marketing, product, design, and data While it’s not required, it’s an added plus if you also have: Experience at a product-led growth company during a period of multi-product expansion Experience building platforms that enable non-engineering teams (marketing, design, content) to run experiments or publish content independently Background in personalization systems, recommendation engines, or ML-driven content selection Experience integrating with customer data platforms, marketing automation systems, or building user attribute services from product usage data Familiarity with using AI for quality assurance, brand consistency, or content governance at scale Experience with internationalization (i18n) and localization (l10n) infrastructure At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $258,000 — $376,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the US, the base compensation range for this role is $183,858 - $220,630. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In the UK, the base compensation range for this role is GBP 103,958 - GBP 124,750 . 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: 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. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Sweden, the base compensation range for this role is SEK 878,578 - SEK 1,054,294. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Spain, the base compensation range for this role is EUR 94,025 - EUR 112,830. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is looking for a technically fluent engineer who loves building powerful demos, explaining complex systems clearly, and helping SRE and platform engineering leaders understand the value of our open approach to observability. As Grafana’s offering shifts from dashboards to industry-leading agentic observability, our Product Marketing team is responsible for closing the gap between what our products can do and how customers understand that value. That means building clear, consistent positioning, enabling sellers with trustworthy technical narratives, and creating content that helps Platform Engineering teams quickly grasp why Grafana Cloud is the right choice for them. As a Technical Product Marketer you will play a critical part in that transformation. You’ll be the hands-on engineer who brings our technical story to life for buyers, not just practitioners. You’ll build core demos, run technical workshops and webinars, and act as the technical bridge between our Product and Sales orgs. Your work will help SRE and platform engineering leaders evaluate Grafana with confidence, equip sales engineers with better tools and talk tracks, and ensure our technical value shows up clearly and consistently across the entire customer journey. This is a unique chance to shape how Grafana tells its story as we evolve our positioning in the AI era, strengthen seller enablement, and build a repeatable system for communicating product value. What You'll Be Doing: Build strategic, buyer-focused demos, videos, workshops, and webinars Create and maintain polished, narrative-driven demos that highlight Grafana’s value for SRE and platform engineering leaders. Record high-quality technical demo videos and walkthroughs in partnership with our video and content teams. Lead webinars, workshops, and technical sessions designed for evaluators. Teach customers not just how Grafana works, but why our approach is differentiated and valuable. Use AI tools to generate variations, summaries, and reusable assets that scale technical content across channels. Enable Solutions (Sales) Engineers with clear, consistent technical storytelling Serve as PMM’s technical liaison to the SE org, ensuring consistent messaging and demo guidance. Produce technical enablement assets, value-driven talk tracks, competitive narratives, and demo best practices. Help SEs and sellers communicate Grafana’s story with clarity, confidence, and differentiation. Collaborate with PMMs to drive technical buyer engagement across high-impact channels Partner with PMMs to identify the most important buyer personas, problems, and technical messages, and help shape the content strategy needed to reach them. Extend technical narratives into impactful buyer-facing channels including analyst briefings (Gartner, Forrester), industry forums, podcasts, conferences, and online technical communities. Bring a technical perspective to PMM planning—helping ensure our content, campaigns, and enablement reflect the real challenges and priorities of SREs and engineering leaders. Use automation & AI to scale technical content Partner with software engineers to streamline demo setup, content workflows, and asset updates through workflows, agents, scripts, and AI-driven tools. Use automation to make technical content more repeatable, discoverable, and scalable across teams. What Makes You a Great Fit: 5+ years in a technical role (solutions engineering, SRE, DevOps, backend engineering, technical PMM, or similar). Interest and ability to travel to training and customer events 10-12 weeks per year. Strong understanding of observability concepts and the needs of SRE/platform teams. Ability to translate deep technical concepts into clear, value-focused stories. Experience presenting technical content through demos, workshops, or webinars. Excellent written and verbal communication, with a crisp, structured, persuasive style. Strong cross-functional collaboration; comfort working with PMM, Product, SEs, DevRel, and Field Engineering. High ownership mindset with the ability to drive projects from concept to completion. Comfort with light scripting or workflow automation. Bonus Points For: Hands-on experience with Grafana, Prometheus, Loki, Mimir, Tempo, or similar observability tools, or a background in Observability or Platform Engineering. Prior experience in Sales Engineering, DevRel, or technical product marketing. Familiarity with demo environment automation or infrastructure-as-code tools. Exceptional live presentation or workshop facilitation skills. Compensation & Rewards: In Ireland, the base compensation range for this role is EUR 117,600 - EUR 141,120. 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 .