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Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the Team: We help people discover content and communities that make them want to return and participate. Our work connects personalized relevance with the health of the broader ecosystem: helping new users find their interests, elevating quality, and connecting communities with audiences who will value them. We care about both the usefulness of an individual recommendation and how discovery shapes the experience of users, contributors, and communities over time. About the Role: We’re looking for a Product Manager to lead Ecosystem Relevance, with a focus on new user experiences, content and community quality, and community coherence. You’ll shape how our relevance systems serve people when we know little about them, recognize worthwhile content and communities, and account for the context that makes a recommendation appropriate. Working with ML engineering, data science, research, and consumer product teams, you’ll translate these goals into signals, ranking objectives, product experiences, and experiments that improve retention and participation while supporting a healthy ecosystem. What You'll Do: Improve relevance for new users. Own the strategy for cold start recommendations, interest exploration, and early personalization so people find value in their first sessions. Make quality actionable. Develop definitions, signals, and evaluation methods for content and community quality, accounting for usefulness, originality, authenticity, and user feedback. Strengthen community coherence. Improve alignment between what a community is about, the content surfaced from it, and the interests, intent, and expectations of the people discovering it. Shape discovery across the ecosystem. Identify opportunities for new, emerging, and niche content and communities to reach suitable audiences, and address exposure patterns that limit discovery. Translate ecosystem goals into relevance decisions. Partner with engineering on candidate selection, ranking, exploration, diversity, and repetition controls across relevant consumer experiences. Build a balanced measurement framework. Assess early retention, satisfaction, successful discovery, negative feedback, and downstream participation and community health. Lead experiments and execution . Combine behavioral analysis, research, and controlled experiments to identify opportunities, prioritize a roadmap, and deliver measurable improvements with partner teams. What We're Looking For: Experience shipping consumer products in recommendations, discovery, search, personalization, growth, or community ecosystems. Strong product intuition for new users and an understanding of how early experiences influence retention and longer-term participation. Analytical depth: the ability to define metrics, interpret experiments, investigate heterogeneous effects, and distinguish short-term engagement gains from durable improvements. Fluency in recommendation systems and experience partnering with ML engineers and data scientists on signals, objectives, and evaluation. An understanding of ecosystem dynamics, including feedback loops, exposure allocation, content supply, and the relationship between audience growth and community health. The ability to turn concepts such as quality and community coherence into clear product requirements and measurable outcomes. Strong execution and cross-functional influence, with the judgment to navigate tradeoffs among personalization, exploration, quality, and ecosystem health. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $232,500 — $325,500 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: San Francisco We’re looking for a Staff Product Designer who is excited to design the future of teamwork at the exact moment it is being reinvented. You’ll join Asana’s AI Design team to craft the experiences where AI does real work alongside people—from agents that take on tasks and AI-recommended workflows to the enterprise controls that build trust. Many of the interaction patterns we need don’t exist yet, giving you the opportunity to invent, ship, and scale them while setting the craft bar across our AI products and platform teams. We design the future of teamwork. Asana has a bold, ambitious mission: help humanity thrive by enabling the world’s teams to work together effortlessly. Our design team is at the heart of that mission. Asana Design is an inclusive and collaborative community made up of a diverse group of designers from different backgrounds (product, brand and content design, design operations, producers, motion design, film, copywriting). We love combining research, data insights, and peer feedback into a human-centered design process to produce designs that are core to the power of our applications. We partner with people across Asana to create our product, shape our brand, and drive greater impact through design—solving challenges, creating experiences that customers love, and taking the time to get weird and have fun along the way. We believe every designer should have the opportunity to grow and learn by utilizing their strengths and nurturing their interests. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead the design of end-to-end experiences for Asana’s AI products, taking ambiguous, high-stakes problems from first framing to polished, shipped details. Define the interaction language for how people delegate to, steer, review, and trust AI in Asana—including how agents show their work, ask for input, explain their reasoning, recover from mistakes, and hand work back to people. Champion product excellence by raising the bar for interaction and visual craft so powerful AI capabilities feel clear, calm, and unmistakably Asana, while contributing AI-native patterns and components to our design system. Turn system and technical complexity into simple, dependable experiences by partnering with engineering and product to understand how models, tools, context, and permissions work, and designing for those realities. Treat AI as a design material by prototyping with real models, writing and refining prompts and instructions, and using real outputs and evaluations to shape what we ship. Build what you design using code-based prototypes to explore ideas and align partners, shipping changes to production alongside engineering when it is the fastest path. Design AI for multiplayer teams and enterprises by shaping the transparency, permissions, and admin controls that let organizations govern and roll out AI with confidence. Drive ideas across teams by connecting work across our AI products (such as AI Teammates, AI Studio, and Dash) and platform teams, bringing partners along with working prototypes, clear narratives, and a strong point of view—while elevating fellow designers through critique, pairing, and mentorship. About you 8+ years of experience in product design, with a track record of leading design on complex products at a senior level A portfolio showcasing interaction and visual design craft alongside a track record of shipping complex work at scale Real-world experience designing and shipping AI products—such as agents, assistants, AI-powered automation, or generative features—including designing for model behavior, uncertainty, and failure in partnership with engineering, research, and product teams Fluency with system and technical complexity, demonstrating the ability to reason about data models, permissions, integrations, and LLM constraints in behaviors and systems rather than just screens and flows Hands-on proficiency with modern AI tools, regularly prototyping with LLMs, iterating on prompts, and using AI-assisted design and coding tools in your everyday workflow Proven ability to lead work that spans multiple teams and drive alignment and execution without formal authority Customer-centric problem solver who gets close to users, uncovers unspoken needs, and uses research and data evidence to back design decisions At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $223,000 - $253,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid #LI-HC1 About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote - USA At Clover, the Business Enablement team leads our technological advancement while ensuring robust security and compliance. We deliver user-friendly corporate applications, manage complex data ecosystems, and provide efficient tech solutions across the organization. Our goal is simple: we make it easy for the business to do what’s right for Clover. We’re hiring a Engineering Lead to build the systems that help our clinical teams deliver services in the field and in members’ homes. You will own technical direction and delivery for scheduling, dispatch, field and mobile workflows, and the software that connects equipment and home technology to the operation. A likely first assignment is an “Air Traffic Control” system for field operations. A supervisor needs to understand what is happening and act when the plan breaks: a flat tire, a delayed visit, a missing piece of equipment, or a member whose availability changes. You will work with the people doing the job to decide what they need to see, what the system can help resolve, and when a human should intervene. This is a hands-on role that spans product and engineering. You will understand the business problem, shape the solution, build useful increments, and see whether they work. You may start without direct reports and can expect to coach and eventually manage one or two engineers. You should enjoy building personally and helping others become more capable. We value a tinkering instinct: try the unfamiliar tool, inspect the data, trace the failure, put a small improvement in front of a user, and learn from what happens. Hardware or connected-device experience can be a strong signal of that mindset, but it is not required. The central work is building dependable software for an operation that changes throughout the day. As an  Engineering Lead, Clinical Operations, you will: Work directly with supervisors, clinical field staff, and operations leaders to understand schedules, travel, capacity, handoffs, and the exceptions that disrupt a day’s work. Build field visibility and intervention tools that give supervisors useful context, distinguish current facts from missing information, and help them respond to changing conditions. Develop scheduling and dispatch capabilities that match people and visits to practical constraints, with clear ways for operating staff to review and adjust the plan. Build and debug APIs, mobile workflows, integrations, and data flows supporting field teams, connected equipment, and home technology. Prototype quickly and ship focused increments. Make deliberate choices about what to build, integrate, or buy, and avoid committing to a large system before the operation has tested the approach. Use AI actively for development, investigation, prototypes, analysis, and useful workflow capabilities. Check the behavior and make failures understandable and recoverable. Coach engineers and take on a small number of direct reports as the team develops. Maintain clear ownership, sound engineering practices, and credible delivery commitments. Partner with Product, Special Project Leads, IT, Counterpart, and the Engagement lead at the interfaces their work shares with field operations. Success in this role looks like: First 90 days: You understand how the field operation works, have shipped an improvement used by supervisors or field staff, and can show what it changed. You have a focused technical plan grounded in real constraints and exceptions. First six months: Several useful increments are in place. Supervisors can understand and respond to disruptions more effectively, scheduling and field workflows are improving, and technical ownership is clear. You should get in touch if: You are a strong production software engineer who has owned meaningful work end-to-end and still builds regularly. You can move across backend services, APIs, data flows, user interfaces, and operational workflows to solve a real problem. You have strong product instincts, learn unfamiliar domains directly, and enjoy working with the people using what you build. You have an iterative, curious approach to technology. You can describe an unfamiliar system you explored, a practical prototype you tried, or a failure you traced across boundaries. You use AI in your own engineering work and have practical experience building or integrating AI-backed capabilities, with clear verification and evaluation. You can coach engineers and are interested in responsibility for a small team as it develops. Formal management experience can help, but a strong record of Engineering Leadership and coaching also matters. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-Remote Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $223,100 — $290,000 USD

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 full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team 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. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is $192,891 - $231,469 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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 full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team 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. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In US, the OTE (On-Target Earnings)/Base compensation range for this role is $189,374 - $227,249 USD. 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 States; Seattle; New York; California; Toronto Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role summary: The Content Strategist decides what the team makes and why. This role sets direction across all content streams by defining audiences, prioritizing based on business impact, and building the measurement framework that proves (or disproves) the work is paying off. Core responsibilities: - Define content strategy, pillars and priorities within each stream, tied to concrete business goals (pipeline generation, developer adoption, retention, brand awareness) - Build audience segmentation per stream. For example, a prospective customer, a developer evaluating the product, and an existing customer being featured in a case study all need different treatment - Own the measurement framework and reporting: SEO/traffic for blog and thought leadership, adoption/engagement for developer content, sales-assist and pipeline influence for customer stories, funnel metrics for product content - Translate strategy into concrete briefs the Managing Editor can schedule and the Content Editor/Staff Writer can execute against - Present content performance and ROI to the Head of Editorial Content and cross-functional stakeholders - Drive content calendar development and planning - Explore new content opportunities and channels - Present ROI and performance insights to leadership - Collaborate with Growth Marketing on messaging strategy Qualifications - 5+ years of experience in content strategy, content marketing, or a closely related discipline - Experience with SEO, analytics tooling, and attribution modeling - Track record connecting content output to business outcomes, not just vanity metrics - B2B or technical industry experience is a strong plus given the developer content component FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Folsom, California Do work that matters! Every single day. We are hiring  Assistant Guides for our lovely Guidepost Montessori school at Folsom! At Guidepost Montessori, our Assistant Guides play a meaningful role in helping children ages 0–6 develop independence, confidence, and a lifelong love of learning. If you’re passionate about working with young children and want to grow in a supportive, purpose-driven environment, we’d love to meet you. Your Impact As an Assistant Guide , you’ll support a mixed-age Montessori classroom (Infant, Toddler, and Children’s House ages 3–6), helping create a calm, engaging environment where children are empowered to explore, learn, and grow at their own pace. In a Montessori classroom, the environment and the guide work together to support each child’s development. You’ll assist in preparing beautiful, intentional learning spaces and support children through individualized and small-group activities—always with respect, patience, and care. Most importantly, you’ll help children build confidence in themselves and discover what they’re capable of achieving. What You’ll Do Observe children closely to understand and support their individual needs Help prepare and maintain a beautiful, orderly classroom environment Support individual and small-group learning activities Build warm, respectful relationships with children and families Collaborate with Lead Guides and fellow team members to create a strong classroom community What We’re Looking For Experience working with children ages 3–6 in a school or childcare setting A positive, adaptable, and collaborative mindset A genuine love for working with young children Interest in learning and growing within the Montessori approach (prior Montessori experience is welcome but not required) What We Offer Fully sponsored Montessori diploma training through the Prepared Montessorian Institute Ongoing professional development and mentorship 75% tuition discount for up to two children at any Guidepost school Competitive pay Health, dental, and vision insurance Paid time off and paid holidays Abundant opportunities for growth and career advancement A supportive network of peers who value collaboration and shared best practices About Guidepost Montessori Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old . We believe children are capable and we design an education that nurtures independence, curiosity, and joy. Our mission is to transform education by helping every child reach their highest potential academically, socially, and emotionally. If you love working with children and are looking for a role where you can grow, make an impact, and be part of something meaningful, we’d love to hear from you. Apply today and join our school community! Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.

Location: Folsom, CA Do work that matters! Every single day. We are hiring Spanish Assistant Guides for our lovely Guidepost Montessori school at Folsom! At Guidepost Montessori, our Assistant Guides play a meaningful role in helping children ages 18 months–6 develop independence, confidence, and a lifelong love of learning. If you’re passionate about working with young children and want to grow in a supportive, purpose-driven environment, we’d love to meet you. Your Impact As an Assistant Guide , you’ll support a mixed-age Montessori classroom (Toddler (1.5-3), and Children’s House ages 3–6), helping create a calm, engaging environment where children are empowered to explore, learn, and grow at their own pace. In a Montessori classroom, the environment and the guide work together to support each child’s development. You’ll assist in preparing beautiful, intentional learning spaces and support children through individualized and small-group activities—always with respect, patience, and care. Most importantly, you’ll help children build confidence in themselves and discover what they’re capable of achieving. What You’ll Do Observe children closely to understand and support their individual needs Help prepare and maintain a beautiful, orderly classroom environment Support individual and small-group learning activities Build warm, respectful relationships with children and families Collaborate with Lead Guides and fellow team members to create a strong classroom community What We’re Looking For Experience working with children ages 1.5–6 in a school or childcare setting A positive, adaptable, and collaborative mindset A genuine love for working with young children Interest in learning and growing within the Montessori approach (prior Montessori experience is welcome but not required) What We Offer Fully sponsored Montessori diploma training through the Prepared Montessorian Institute Ongoing professional development and mentorship 75% tuition discount for up to two children at any Guidepost school Competitive pay Health, dental, and vision insurance Paid time off and paid holidays Abundant opportunities for growth and career advancement A supportive network of peers who value collaboration and shared best practices About Guidepost Montessori Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old . We believe children are capable and we design an education that nurtures independence, curiosity, and joy. Our mission is to transform education by helping every child reach their highest potential academically, socially, and emotionally. If you love working with children and are looking for a role where you can grow, make an impact, and be part of something meaningful, we’d love to hear from you. Apply today and join our school community! Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.

Location: Cary, North Carolina Seasonal Assistant Teacher (Montessori), Holiday Break Support Imagine a classroom where a toddler pours her own water for the first time, a four-year-old proudly finishes a puzzle he’s been working on all week, and every child is trusted to show what they can do. That’s a normal day at Guidepost Montessori, and this holiday season, you could be part of it. We’re looking for warm, dependable Seasonal Assistant Guides to support our classrooms over the holiday breaks. You might be a college student home for winter break, an experienced caregiver looking for flexible work, or someone who has always wondered what teaching in a Montessori classroom is like. If you love young children and want to grow in a supportive, purpose-driven place, we’d love to meet you. This could be more than a seasonal job. Many of our team members start out as seasonal or part-time staff and find a long-term career with us. Strong seasonal Assistant Guides may be offered a full-time position. Your Impact As an Assistant Guide, you’ll support our Infant, Toddler, and Children’s House (ages 3–6) classrooms. You’ll help create a calm, engaging environment where children explore, learn, and grow at their own pace. In a Montessori classroom, the environment and the guide work together to support each child’s development. You’ll help prepare beautiful, intentional learning spaces and support children in individual and small-group activities, always with respect, patience, and care. Most importantly, you’ll help children build confidence and discover what they’re capable of. What You’ll Do Help keep classrooms running smoothly and consistently during the busy holiday break season Observe children closely to understand and support their individual needs Help prepare and maintain a beautiful, orderly classroom Support individual and small-group learning activities Build warm, respectful relationships with children and families Work alongside Lead Guides and the rest of the team to keep a strong classroom community What We’re Looking For Experience working with young children (infants through age 6) in a school, childcare, camp, or nanny setting A positive, flexible, and team-minded attitude, which matters a lot during the holiday season A love for working with young children Curiosity about the Montessori approach (Montessori experience is a plus but not required, and we’ll show you the ropes) Availability during school holiday breaks What We Offer Flexible scheduling , with full-time and part-time options A path to full-time employment for seasonal team members who are a strong fit Hands-on mentorship from experienced Montessori Lead Guides A supportive network of peers who value collaboration and shared best practices For team members who move into permanent roles: fully sponsored Montessori diploma training through the Prepared Montessorian Institute, a 75% tuition discount for up to two children at any Guidepost school, health, dental, and vision insurance, paid time off and holidays, and plenty of room to grow your career About Guidepost Montessori Guidepost Montessori is a growing network of more than 80 schools across the U.S. and Asia, serving children from 3 months to 6 years old. We believe children are capable, and we design an education that nurtures independence, curiosity, and joy. Our mission is to transform education by helping every child reach their highest potential academically, socially, and emotionally. Spend your holidays doing something that matters. Apply today! Guidepost Global Education and Guidepost Montessori are committed to a policy of Equal Employment Opportunity (EEO). We will not discriminate on the basis of age, sex, race, color, creed, religion, ethnicity, sexual orientation, gender identity, gender expression, national origin, alienage or citizenship, disability, marital status, military or veteran status, or any other legally recognized protected basis under applicable federal, state or local laws, regulations or ordinances. Our leadership is dedicated to ensuring the fulfillment of this policy. When requested, we are committed to reasonably accommodate employees and applicants with disabilities or special needs that may require an accommodation.

Location: US - Culver City, California, United States Scopely is hiring a Senior Legal Operations Manager based in our Culver City, CA hub on a hybrid basis. As a Senior Legal Operations Manager, you will be the driving force of innovation, scale, technology, and automation for the Scopely legal team. You will be responsible for building and streamlining the strategic technologies of the Legal department as our company expands around the world. You will be part of a team that implements key systems, optimizes processes, manages projects, creates objectives, and reports performance metrics to deliver legal services in the most collaborative, friendly, and efficient manner, including supporting both internal and external resource management. You'll get to work with some super inspiring people, including our Finance, IT, Workplace, and People teams and a growing team of external vendors and law firms. Reporting to our Director, Legal Operations, you'll be the second member of our growing Legal Operations team and have a significant impact on how the broader Legal department and Scopely continue to grow. What You Will Do: Oversee operational processes to maintain and support legal systems and technology, including contract management, ebilling/matter management, e-signature, workflow automation, and document storage Identify opportunities where AI can transform how legal work gets done, partnering with Legal, IT, Security, and business stakeholders to select, pilot, and operationalize AI-enabled solutions that reduce manual effort, improve speed and quality of service, and free up attorneys to focus on higher-value strategic work Assist in developing relevant project and process documentation and self-help tools as needed: legal intranet, playbooks, legal training, Q&A, process flows, etc Support the legal operations function on assigned cross-functional and departmental initiatives Contract Management: Serve as the key administrator of Ironclad, owning templates, workflows, repository design, system configuration, and technical integrations with a particular focus on continuous optimization of existing workflows and development of new ones Oversee and help streamline contract workflow processes, including creation, assignment, organization, tracking, document storage, and template/playbook management Manage process for verifying existence of an active services agreement and associating the correct parent contract for Statement of Work workflows in Ironclad Manage process for archiving executed agreements and capturing appropriate metadata fields for our repository Be a primary point of contact to the business to answer questions regarding legal contract review support and processes, and triage incoming contract-related requests Develop and maintain detailed process documentation and training materials that you will use to drive continuous adoption across the Legal team and relevant cross-functional partners E-Billing/Matter Management: Oversee our outside counsel and e-billing/matter management processes, including Manage the strategic use of Brightflag for e-billing and spend management, including invoice review and spend-analysis tools to enforce outside counsel billing guidelines, flag exceptions, and surface spend trends Manage law firm engagement letters and onboarding with AP, opening and closing matters Oversee monthly accrual process and prepare monthly accrual reports for AP Manage integration with Oracle for approved invoices sent to AP Manage new timekeeper review and approval Interact independently with in-house legal team and outside counsel regarding missing accruals or invoices, disputes, or to answer other questions that may arise concerning invoicing/status, onboarding, guidelines, and any system or process issues Assist in building and maintaining the Legal team's annual budget and forecast, tracking spend against plan and flagging variances early Assist in the development of data-driven reporting on legal spend, matter volume, and operational KPIs for Legal leadership What We're Looking For: At least 6-8 years of relevant, progressively complex experience with a proven track record of leading successful implementation and rollout of key technologies and processes Experience with Ironclad or similar contract lifecycle management platforms Experience with API integration Experience leveraging AI-powered tools, automation platforms, or emerging legal technologies to optimize legal workflows and improve operational efficiency Experience supporting legal operations across multiple business units, subsidiaries, or shared-services environments Ability to collect and analyze available information and execute effectively and autonomously in complex or ambiguous situations Preference for candidates with direct experience implementing and/or managing Ironclad or Brightflag Nice to have: Clear understanding of contracts and how they are used, including their abbreviated names, and can speak to them without reference For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $140,000 — $170,000 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

We're looking for a marketing intern to help us build and grow Kinelo's presence in the market. Come up with content ideas for X, LinkedIn, and other channels, then help turn those ideas into posts, articles, videos, or visual content.

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

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

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

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

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

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Senior HR Technology Analyst , you will be a hybrid functional and technical subject matter specialist on the HR Technology team—pairing hands-on Workday configuration with strong reporting and analytics skills. You will administer and configure DRW's global HR system, Workday, while also partnering with our HR Reporting Analyst as a responsible owner of scheduled and ad hoc reporting needs across Workday, business intelligence tools, and emerging AI-enabled analytics. You will partner closely with HR and business stakeholders on system support, survey programs, and a variety of business-facing projects that improve employee experience and operational effectiveness. Core Duties: HR Technology & Workday Configuration Administer and configure Workday HCM across modules such as Core HCM, Payroll, Benefits, Time Tracking, Absence, Compensation, Performance, and Talent, including troubleshooting, processing changes, business process configuration, security maintenance, integration monitoring, EIB creation and loading, and functional testing Provide senior-level functional support for end users, diagnosing issues, identifying root causes, and delivering durable solutions Partner with HR stakeholders to gather requirements, translate business needs into Workday configuration, and deliver scalable process improvements that support DRW's growth and employee experience Support Workday's semi-annual system upgrades, including release note review, design recommendations, configuration, and user acceptance testing Develop user guides, system documentation, and training materials; assist with Workday training as needed Maintain HRIS data integrity through audits, analysis, and ongoing data quality practices Serve as a backup for Workday permissions, security administration, and related system governance Remain current on HR technology and data strategies, including opportunities to leverage Workday, integrations, BI, and AI tools for operational effectiveness Reporting, Analytics & Insights Partner with the HR Reporting Analyst as a responsible owner of Workday reporting, calculated fields, dashboards, and related analytics Own and execute regular scheduled reporting, and support ad hoc reporting requests for HR and business stakeholders Build, maintain, and improve reports and dashboards in Workday; support reporting needs in adjacent systems (for example, Greenhouse) as needed Use business intelligence tools and AI-enabled analytics tools to extract, analyze, and present workforce insights that support decision-making Help maintain the catalog of reports, dashboards, and analytics assets, ensuring accuracy, documentation, and timely delivery Partner with stakeholders to define reporting requirements, manage expectations, and continuously improve reporting structure and data quality Survey Support & Business-Facing Projects Support engagement, pulse, and other business survey programs end to end—including setup, administration, reporting, and stakeholder follow-up as needed Partner with HR and business leaders on survey design, distribution, results packaging, and related action-planning support Lead or contribute to miscellaneous business-facing HR Technology projects, balancing configuration work, reporting deliverables, and stakeholder communication Support broader HR Operations and HR Technology initiatives as needed, bringing both systems and analytics perspectives to project work Required Skills & Experience: Bachelor's degree 5–7+ years of progressive HRIS / HR Technology experience, with substantial hands-on Workday functional configuration experience in one or more of: HCM, Compensation, Payroll, Benefits, Talent, Time Tracking, Absence Management, Security, and Reporting Demonstrated Workday configuration and implementation experience, with the ability to translate business needs into technical requirements and deliver production-ready solutions Strong Workday reporting experience, including designing, building, testing, and maintaining custom reports, calculated fields, and dashboards Experience owning scheduled reporting cycles and partnering on reporting deliverables in a deadline-driven environment Proficiency with business intelligence / analytics tools (for example, Tableau, Power BI, or similar); comfort exploring and applying AI tools to accelerate analysis, documentation, and insight generation Demonstrated ability to use AI tools thoughtfully and effectively for analysis, reporting support, documentation, and problem-solving, with good judgment about when AI adds value and when human review is required Advanced Microsoft Excel skills, including extracting, manipulating, and validating data to produce accurate, actionable outputs Experience supporting survey programs (engagement, pulse, or other business surveys) preferred Strong understanding of HR business processes and operational analysis across areas such as payroll, benefits, compensation, recruiting, talent, and performance management Excellent communication, stakeholder management, and customer service skills, with the ability to work effectively with both technical and non-technical partners Strong organization, prioritization, and project management skills, with proven ability to balance concurrent configuration, reporting, and project work High attention to detail, sound judgment, and experience handling highly confidential information with discretion Ability to thrive in a fast-paced environment, adapt to changing priorities, and collaborate broadly across the organization For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-AA1

Location: San Juan, Puerto Rico; New York, NY; District of Columbia; Europe | Spain Workplace: Hybrid About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Norwest, Galaxy Ventures, Dragonfly, Bessemer Venture Partners, FirstMark, Lightspeed, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the role Rain builds payments and stablecoin infrastructure. Finance, Risk, Compliance, and our partners rely on data from card transactions, settlements, ledger entries, and onchain transfers. We’re looking for a Data Engineer with batch and streaming experience to bring this data into our warehouse and keep it correct. You’ll build scalable, idempotent pipelines that handle late and duplicate data and alert us when something breaks. At Rain, everyone models data, writes production-quality code, and automates their own workflows. We use AI to speed up repetitive work, but we own and check the results. In this role, you’ll automate ingestion and quality checks so new sources come online quickly and stay trustworthy. What you’ll do - Build scalable batch and streaming pipelines, choosing the right approach for latency, cost, and correctness. - Process events near real time, handling deduplication, windowing, and late or out-of-order events. - Own batch ingestion from databases (CDC), files (SFTP and GCS), APIs, and onchain sources. - Build incremental dbt models that handle late data, duplicates, CDC deletes, and backfills; reconcile streaming and batch outputs. - Orchestrate pipelines in Dagster with sensors, schedules, and alerts. - Add freshness, volume, and reconciliation checks to every source, and fix root causes. - Work with backend pods on event and table contracts to prevent downstream breakage. - Partner with Analytics Engineers, Data Scientists, and Risk on their data needs, including ML features. What you’ll need - At least 3 years building production data solutions, including owning both batch and streaming pipelines end to end, from source to warehouse. - Experience designing data solutions at scale. - Strong SQL and Python / Rust, plus experience with a cloud data warehouse such as BigQuery, ClickHouse, or Snowflake and an understanding of their trade-offs. - Streaming experience with tools such as Pub/Sub, Kafka, Dataflow/Beam, or Flink. - Batch experience with dbt and an orchestrator such as Dagster or Airflow. - Experience with production data quality testing, monitoring, and reconciliation. - Ability to debug across the source database, pipeline, warehouse, and report. - Ability to use AI tools to learn and work faster while checking their output. Nice to have - Building offline and real-time ML feature pipelines, such as fraud or risk features. - Working with payments, banking, or blockchain data, including EVM or Solana events and indexers. - Using CDC and ingestion tools such as Datastream, Debezium, Meltano, Fivetran, or Airbyte. - Experience with GCP. Things that enable a fulfilling, healthy and happy experience at Rain: Flexible time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.