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Location: Cornell Center Animal Hospital - Beaverton, Oregon Cornell Center Animal Hospital is a Lakefield Veterinary Group clinic in Beaverton, Oregon. Our two-doctor clinic focused on providing high quality medicine, with in depth client education. We want our staff to use their skills and continue to grow in areas that will fulfill them. Cornell Center is looking to hire a veterinary assistant to work in rooms and complete technician appointments. Anesthetic, dental, and surgical skills are a plus but not required! The person joining our team will be an integral part of the daily workflow and morale of the clinic. Our perfect candidate is well organized, confident in their work, and love what they do. Required Skills - Obtain subjective information and TPRs - Collecting blood, urine, skin, and fecal samples - Additional technical skills such as ear cleaning, anal sac expressions, nail trims, filling medications, giving SQ/IM/IV injections - Thorough medical documentation including subjective and plan information - Thorough client education in wellness and basic illness conversations - Gentle handling and fear free type techniques with all pets. - Desire to learn and help those around them learn - Clean and disinfect kennels, exam rooms, surgical suite, and treatment areas - Help to answer phones when needed and have a basic understanding of reception duties (cross-training) - Comply with all practice policies, quality assurance guidelines, and minimum standards of care - Perform other duties as requested Preferred Skills - Experience in Cornerstone PIMs system - Comfortably monitor anesthesia, trouble shoot machines, and correct inadequate vitals with DVM direction - Perform dental prophy, scaling, and full mouth radiographs Requirements 2+ years' experience as a veterinary room assistant Essential Job Functions Veterinary assistants must have a broad knowledge of animal science and medicine. They must be able to soothe, restrain, administer medications, obtain samples, clean/sterilize, and educate clients. The successful candidate must be detail-oriented, well organized, and a team player. Surgery and dental experience is preferred but not required. Pay range between $20.00 and $23.00 per hour depending on experience and skill set. *Bilingual pay differential of $0.50 per hour is available. We are currently open Monday through Friday and plan to open on Saturdays in 2027. This position is open for full time or part time candidates. Benefits include but are not limited to: Paid time off, paid holidays, health, dental, vision, life insurance, referral programs, 401k, team member discounts, uniform allowance, bonus pay, Penn Foster tuition assistance and more! Working Conditions/Physical Demands While performing the duties of this job, the team member is regularly required to talk and hear. The team member must frequently use a computer for long periods of time. Specific vision abilities are required to do this job including close vision. This position requires walking, standing, and sitting for long periods of time. May be exposed to low to moderate noise levels as well as disinfectant/sanitation chemicals, pet dander, and excretions. May experience aggressive, frightened, abused or injured pets that bite and scratch. This position requires exerting up to 30 pounds of force occasionally, and/or 20 pounds frequently, and/or 10 pounds constantly to lift, carry, pull or move objects. Ability to work flexible hours including evenings and weekends. Supervisory Responsibilities This position does not have direct supervisory responsibilities About Lakefield Veterinary Group We believe exceptional veterinary care starts with exceptional people. We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support and resources that allow teams to thrive. As we grow, we are committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care. Our Values Our culture is built on five core values that guide how we work and serve: Respect, Learning, Do the Right Thing, Wow Service, and Fun. If these resonate with you, you’ll fit right in. Equal Employment Opportunity Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Resellers are a major route for organizations to buy Claude. Our reseller program runs across two motions: hyperscaler resale, where partners resell Claude through the cloud marketplaces (AWS Bedrock today, Google Cloud Vertex AI and Microsoft Foundry to follow), and direct resale, where partners resell on Anthropic paper through our own quote-to-order and billing systems. Each motion brings its own agreements, systems and cloud counterparts, and the program is expanding across regions at the same time. As our Resale Operations Lead, you will run resale operations: how resellers get authorized, transact, get reported on, get paid and get supported, across both motions and every live cloud. The resale business team sets the strategy and the commercial framework. You will build and run the processes, playbooks and team that put that framework into practice, and keep them reliable as volume grows. This is an operator and builder role, not a partner manager role. You will be hands-on in the detail of a private offer or a partner quote while you build the team, the vendor coverage and the Claude-powered automation that keep resale operations from growing in line with partner count. Reporting to Head of Partner Operations and Systems · San Francisco or New York based What you'll do Lead the resale operations team: set priorities, coach the reseller operations managers, and keep every region on the same playbooks rather than a set of local processes. Build the resale runbook and launch kit across AWS, Google Cloud and Microsoft, so that authorizing, onboarding and supporting a reseller works the same way wherever it can, and each new cloud comes online from the kit. Run hyperscaler resale operations: marketplace authorizations and private-offer processing with the cloud alliance teams, and operational escalations with AWS, Google Cloud and Microsoft, raised through the cloud alliance teams. Stand up direct resale operations: partner quotes in Salesforce CPQ, order forms, booking and provisioning, and commit tracking and true-ups, working with Deal Desk, Commercial Operations, Finance and Tax. Operate the program rules as controls that can actually run: deal registration to the published policy, eligibility checks, margin and rebate data, and the unauthorized resale process. Flag early what cannot be operated yet. Own the reseller transaction data, so that every reseller transaction traces to an end customer under the attribution rules Partner Strategy and Operations governs, partners are paid accurately and partner-sourced revenue can be measured. Scale through vendors and Claude: propose which resale work moves to outsourced teams or to Claude, run the vendor team's resale scope to a stated quality bar, and build automations with human checkpoints where a wrong decision carries risk. Run resale on a scorecard: application decision time, registration cycle time, attribution coverage, payout accuracy and launch readiness. Use it to tell the team and leadership what to fix next. What might make you a good fit Channel, reseller, distribution or partner operations experience at a technology company, including managing a small team. Hands-on depth in both motions: cloud marketplace resale (authorizations, private offers, deal registration) and direct or contract-based resale (quote-to-order, partner billing). A track record of building a resale or channel operations process from an early stage and running it as volume grew. Fluency in order-to-cash, including Salesforce CPQ or a comparable tool and the Finance, Deal Desk, Legal and Tax coordination that comes with it. Experience managing outsourced or vendor teams: scope, service levels, quality sampling and performance feedback. Sound judgment while the program is still moving. You can make the call with incomplete information, hold a control under pressure from sales or a partner, and keep the relationship intact. A builder's mindset and clear writing. You use tools like Claude to automate your own work, and you document what you build so a new teammate or vendor lead can run it. Strong candidates may also have Experience on the partner or marketplace side of a hyperscaler, or in operations at a major distributor. Experience running partner rebate, margin or incentive operations, or launching a resale program in EMEA or APAC. Familiarity with the Claude API, Claude Code or MCP. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $215,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a 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: Canada Workplace: Remote ABOUT THE TEAM The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA.   THE ROLE We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.   WHAT YOU'LL DO - Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap. - Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them. - Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it. - Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features. - Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly. - Bring written proposals about where we invest next. You set direction rather than wait for it. - Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt. - Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try. - Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks. ABOUT YOU - Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build. - 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics. - Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks. - Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET. - You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly. - Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet. - Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency. - Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it. - Thoughtful use of AI development tools, with the judgment to review what comes out. - Clear writing. Most coordination happens in design docs, PRs and RFCs. NICE TO HAVE - ClickHouse, especially its type system, or another OLAP engine. - C++ and ODBC driver internals. - Building or maintaining an ADO.NET http://ADO.NET or EF Core provider. - Open-source contributions to .NET or data infrastructure. - Experience designing SDKs, docs or error messages with AI coding agents as the consumer. - Protocol or wire-format work on a database driver or network client. LEARN MORE - Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026) - What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026) - Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026) - Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026) - The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp - ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: New York; Detroit; Chicago; Atlanta; Boston Workplace: Remote ABOUT THE TEAM The Integrations Ecosystem org builds the drivers, SDKs, connectors and BI integrations that make ClickHouse feel native in any stack. The Language Clients team maintains the official clients for Python, JavaScript, Java, Go, Rust, C++ and C#, plus the ODBC, JDBC and ADBC drivers. We're small, senior and remote across North America and EMEA. THE ROLE We're looking for a product-minded engineer to own the ClickHouse .NET client. You'll decide what the client should do by talking to the developers who use it, reading the issues and the telemetry, and listening to the community. Then you'll build it, with deep .NET expertise, and measure whether it worked. Your scope is the SDK and what builds on it: ADO.NET http://ADO.NET, Dapper and Entity Framework Core users, and the tools and integrations that depend on your client.   WHAT YOU'LL DO - Know who uses the client and what they're trying to do. Define what good looks like (time to first query, error clarity, adoption by key integrations), measure it, and let that drive the roadmap. - Be the voice of ClickHouse for .NET developers. Speak at .NET conferences and meet-ups, and write the posts, tutorials and samples that developers and AI assistants find when they search for how to use ClickHouse from .NET (SEO and GEO). Answer questions where the community asks them. - Own the .NET client and its ecosystem: the client, the EF Core provider and ORM integrations, NuGet releases and support. Evolve it without breaking the people who depend on it. - Review and co-maintain other clients, and take part in cross-client decisions on types, errors and protocol features. - Bring what .NET and Windows users need to the ODBC driver, since that's how many Windows and BI tools reach ClickHouse. If you write C++, contribute to it directly. - Bring written proposals about where we invest next. You set direction rather than wait for it. - Make the client enterprise-ready: TLS and certificate handling, authentication including Microsoft Entra ID, safe credential handling, signed and reproducible packages, and the audit and compliance questions large .NET shops ask before they adopt. - Shape the client for agents as users: an API, docs and error messages an AI coding agent can use correctly on the first try. - Extend our AI development platform, with new workflows for maintaining the clients: consistency checks across languages, issue triage, release checks. ABOUT YOU - Product-minded. You decide what to build from user evidence, measure whether it worked, and can explain what you chose not to build. - 5+ years in software, much of it on data-intensive systems: drivers, SDKs, data access, ingestion or analytics. - Deep C# and .NET expertise: memory management, async and the TPL, Span and pooling, profiling and benchmarking. You reason about throughput and latency down to allocations and bytes on the wire, and you prove it with tests and benchmarks. - Fluent in C#, and productive in at least one more of our client languages (Python, JavaScript, Java, Go, Rust, C++). You'll review and co-own across clients, not only .NET. - You've built or substantially extended a library other engineers depend on, and shipped NuGet packages across .NET Framework and modern .NET. You treat breaking changes accordingly. - Fluent in .NET data access (ADO.NET http://ADO.NET, Dapper, EF Core) and at home in the wider .NET ecosystem: ASP.NET http://ASP.NET Core, Aspire, NuGet. - Security-minded. You've shipped a library into enterprise environments and know what security, compliance and procurement teams look for in a dependency. - Enthusiastic about working in public. You've given talks or written technical content, or you're keen to, and you see it as part of the job rather than a distraction from it. - Thoughtful use of AI development tools, with the judgment to review what comes out. - Clear writing. Most coordination happens in design docs, PRs and RFCs. NICE TO HAVE - ClickHouse, especially its type system, or another OLAP engine. - C++ and ODBC driver internals. - Building or maintaining an ADO.NET http://ADO.NET or EF Core provider. - Open-source contributions to .NET or data infrastructure. - Experience designing SDKs, docs or error messages with AI coding agents as the consumer. - Protocol or wire-format work on a database driver or network client. LEARN MORE - Introducing the (blazing fast!) native TCP client for .NET https://clickhouse.com/blog/introducing-the-blazing-fast-native-tcp-client-for-net: zero-copy columnar reads, 1.5 to 2x faster than HTTP, over 99% fewer GC allocations (Oct 2026) - What's new in the ClickHouse .NET Driver: the road from 1.0 to 1.3 https://clickhouse.com/blog/whats-new-clickhouse-net-driver-10-to-13 (Aug 2026) - Meet GroeneAI: our autonomous contributor to ClickHouse https://clickhouse.com/blog/meet-groeneai-our-autonomous-contributor-to-clickhouse (Oct 2026) - Building a .NET API Gateway with ClickHouse and Aspire https://clickhouse.com/blog/dotnet-api-gateway-aspire (Jun 2026) - The .NET client on GitHub https://github.com/ClickHouse/clickhouse-cs and its documentation https://clickhouse.com/docs/integrations/csharp - ClickHouse Workload for Microsoft Fabric, now in public preview https://clickhouse.com/blog/clickhouse-for-microsoft-fabric (Sep 2026) PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as 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 federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

They are looking for a talented and detail-oriented Video Editor who can transform raw footage into polished, cinematic, and engaging video content that captures the quality and appeal of each project. Edit raw video footage into professional, engaging, and cinematic video productions.

Location: Mexico POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make As a Senior Solutions Engineer – Web on our post-sales team, you'll make sure every customer integration of the Incode platform is successful, reliable, and scalable. You'll guide enterprise customers from kickoff to go-live, keep their live integrations healthy as the platform evolves, and bring the voice of the customer to Product and Engineering. What You’ll Own & Drive Integration Delivery • Guide enterprise customers through the end-to-end integration of Incode's platform, SDKs, and APIs, from kickoff to go-live. • Train customer technical teams and translate their use cases into the right platform integration. • Provide technical guidance, such as web application architecture design, when customers need it. • Assess custom and feature requests, and work with internal teams to deliver the ones we take on. Production Support • Serve as the advanced escalation point for issues in live integrations: reproduce, find the root cause, and drive the fix. • Guide customers through troubleshooting and resolving issues in their own integration code. • Partner with Incode Engineering to diagnose and resolve platform issues, escalating with clear, actionable detail. Integration Health • Review upcoming platform releases and anticipate their impact on customers. • Proactively review customer integrations to improve performance. • Lead customers through upgrades, migrations, and deprecations. Team and Platform • Contribute to our developer documentation and code samples. • Mentor fellow engineers and share best practices. • Build internal tools that make the team more efficient. • Advise customers and internal teams on technical capabilities when needed. The Qualities That Set You Apart Customer-Centric Engineer – You take ownership of every integration and don't rest until the customer is live and stable. Deep Web Technologist – You have a strong command of modern JavaScript, SDKs, and web security — and you're energized by complex integration puzzles. Clear Communicator – You translate engineering concepts into plain language for business stakeholders and provide precise technical detail when escalating internally. Proactive Partner – You anticipate platform changes, flag risks early, and lead customers through transitions before they become incidents. AI-Augmented – You use AI coding assistants as a force multiplier — and you have the judgment to verify what they produce. Your Background Required • 5+ years in a customer-facing technical role, such as solutions, integration, or support engineering, ideally in enterprise SaaS. • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Advanced JavaScript (ES6+) and TypeScript, HTML, and CSS, with experience in a modern framework such as React (including Next.js), Angular, or Vue.js, and an understanding of how client-side SDKs behave in server-rendered apps. • Strong REST API and webhook integration and debugging skills, including browser dev tools, network traces, logs, and API clients such as Postman. • Experience integrating and troubleshooting third-party web SDKs. • Solid grasp of web security: CORS, Content Security Policy, CSRF, XSS, OAuth 2.0 / OpenID Connect, and JWT. • Proficiency with Git and the modern JavaScript toolchain, such as npm or pnpm and Vite. • Hands-on use of AI coding assistants, such as GitHub Copilot, Cursor, or Claude Code, to speed up debugging, code review, and sample integrations, with the judgment to verify what they produce. • Responsible use of AI tools in customer work: you know what data can and cannot be shared, in line with security and privacy policies. • Understanding of software architecture and system integration patterns. • Clear communication with both engineers and business stakeholders. • Professional fluency in English and Spanish. • Willingness to travel when required. Nice to Have • Experience with identity verification, KYC, fraud prevention, or biometrics. • Understanding of AI-driven fraud, such as deepfakes, injection attacks, and synthetic identities. • Familiarity with cloud platforms and CI/CD pipelines. • Experience with testing frameworks such as Vitest, Jest, or Playwright. • Experience building with LLM APIs, AI agents, or the Model Context Protocol (MCP) to automate workflows or internal tools. • Experience with browser camera and media APIs, such as getUserMedia and WebRTC, across desktop and mobile browsers. • Background in networking, security, or compliance. • Experience writing developer documentation or building internal tools. Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: United States POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($2 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast. The Impact You’ll Make As a Senior Solutions Engineer – Web on our post-sales team, you'll make sure every customer integration of the Incode platform is successful, reliable, and scalable. You'll guide enterprise customers from kickoff to go-live, keep their live integrations healthy as the platform evolves, and bring the voice of the customer to Product and Engineering. What You’ll Own & Drive Integration Delivery • Guide enterprise customers through the end-to-end integration of Incode's platform, SDKs, and APIs, from kickoff to go-live. • Train customer technical teams and translate their use cases into the right platform integration. • Provide technical guidance, such as web application architecture design, when customers need it. • Assess custom and feature requests, and work with internal teams to deliver the ones we take on. Production Support • Serve as the advanced escalation point for issues in live integrations: reproduce, find the root cause, and drive the fix. • Guide customers through troubleshooting and resolving issues in their own integration code. • Partner with Incode Engineering to diagnose and resolve platform issues, escalating with clear, actionable detail. Integration Health • Review upcoming platform releases and anticipate their impact on customers. • Proactively review customer integrations to improve performance. • Lead customers through upgrades, migrations, and deprecations. Team and Platform • Contribute to our developer documentation and code samples. • Mentor fellow engineers and share best practices. • Build internal tools that make the team more efficient. • Advise customers and internal teams on technical capabilities when needed. The Qualities That Set You Apart Customer-Centric Engineer – You take ownership of every integration and don't rest until the customer is live and stable. Deep Web Technologist – You have a strong command of modern JavaScript, SDKs, and web security — and you're energized by complex integration puzzles. Clear Communicator – You translate engineering concepts into plain language for business stakeholders and provide precise technical detail when escalating internally. Proactive Partner – You anticipate platform changes, flag risks early, and lead customers through transitions before they become incidents. AI-Augmented – You use AI coding assistants as a force multiplier — and you have the judgment to verify what they produce. Your Background Required • 5+ years in a customer-facing technical role, such as solutions, integration, or support engineering, ideally in enterprise SaaS. • Bachelor's degree in Computer Science or a related field, or equivalent practical experience. • Advanced JavaScript (ES6+) and TypeScript, HTML, and CSS, with experience in a modern framework such as React (including Next.js), Angular, or Vue.js, and an understanding of how client-side SDKs behave in server-rendered apps. • Strong REST API and webhook integration and debugging skills, including browser dev tools, network traces, logs, and API clients such as Postman. • Experience integrating and troubleshooting third-party web SDKs. • Solid grasp of web security: CORS, Content Security Policy, CSRF, XSS, OAuth 2.0 / OpenID Connect, and JWT. • Proficiency with Git and the modern JavaScript toolchain, such as npm or pnpm and Vite. • Hands-on use of AI coding assistants, such as GitHub Copilot, Cursor, or Claude Code, to speed up debugging, code review, and sample integrations, with the judgment to verify what they produce. • Responsible use of AI tools in customer work: you know what data can and cannot be shared, in line with security and privacy policies. • Understanding of software architecture and system integration patterns. • Clear communication with both engineers and business stakeholders. • Professional fluency in English and Spanish. • Willingness to travel when required. Nice to Have • Experience with identity verification, KYC, fraud prevention, or biometrics. • Understanding of AI-driven fraud, such as deepfakes, injection attacks, and synthetic identities. • Familiarity with cloud platforms and CI/CD pipelines. • Experience with testing frameworks such as Vitest, Jest, or Playwright. • Experience building with LLM APIs, AI agents, or the Model Context Protocol (MCP) to automate workflows or internal tools. • Experience with browser camera and media APIs, such as getUserMedia and WebRTC, across desktop and mobile browsers. • Background in networking, security, or compliance. • Experience writing developer documentation or building internal tools. Why Incode? Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically. Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy – Operate like a founder with the resources of a unicorn. Global Impact – Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

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 .

Workplace: remote Location : San Francisco Bay Area, CA, USA Work Model: Hybrid (2–3 days per week onsite) What we expect : Pharma/Biotech R&D experience and scientific background in Life Sciences, Molecular Biology, Biochemistry, Bioinformatics, or related fields Proven experience with Large Molecule / Biologics R&D workflows, including structural biology, protein design, or antibody engineering Experience with laboratory workflows, sample/inventory management, assay registration, requesting, and workflow progression Familiarity with Mosaic/BioMosaic or comparable scientific sample management platforms Familiarity with workflow applications such as Pega or comparable platforms Strong Business Analysis skills: requirements gathering, workflow analysis, user stories, and stakeholder management Experience working directly with scientists and engineering teams to troubleshoot existing scientific applications and define improvements Pega workflow familiarity Nice to have : Hands-on experience with Mosaic/BioMosaic Working knowledge of PK/TK/ADA and DMPK-related scientific data workflows Familiarity with scientific analytics and cheminformatics platforms such as Spotfire, Dotmatics Vortex, and OpenEye/FastROCS, or comparable tools Experience with high-throughput experimentation and laboratory automation Experience with legacy scientific application modernization We offer : Competitive compensation Remote or office work Flexible working hours Continuous education, mentoring, and professional development programs A team with excellent tech expertise

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : 1. Practice Strategy & Development Define and execute the strategy and development roadmap for the assigned practice. Identify emerging technologies, industry trends, and evolving client needs relevant to the practice. Assess current practice strengths, gaps, and opportunities for development. Define the expertise, competencies, and skills required to support current and future business needs. Develop and maintain practice standards, methods, frameworks, and reusable knowledge assets. Contribute to the evolution of Quantori's service offerings and solution accelerators. Establish Quantori as a premier market leader in lab automation, LIMS consulting, and connected laboratory ecosystems. 2. Talent & Competency Development Establish competency frameworks, skill expectations, and proficiency levels within the practice. Assess professional skills and expertise to identify individual and collective development needs. Support employee career development, technical growth, mentoring, and knowledge sharing. Establish professional development priorities aligned with evolving market needs. Build communities of practice that encourage collaboration, learning, and the exchange of expertise. Provide technical and professional input into recruiting, candidate assessment, and hiring decisions. Support the development of career pathways and progression opportunities within the practice. 3. Technical & Domain Excellence Establish and maintain professional, technical, and domain standards for the practice. Promote consistent quality, sound technical approaches, and recognized industry practices. Provide expert guidance on complex technical or scientific challenges. Support technical reviews, knowledge sharing, and continuous improvement. Identify opportunities to strengthen the quality, efficiency, and consistency of client solutions. Develop reusable methods, tools, frameworks, and intellectual assets that advance the practice. Define standards for laboratory instrument integration, electronic lab notebook (ELN) customization, and compliance (GxP/FDA data integrity). 4. Client Engagement & Solution Expertise Contribute directly to billable client work as a subject matter expert, Solution or Engagement Lead, or senior practitioner. Provide technical or domain leadership on complex client engagements. Partner with lab managers, R&D operations directors, and IT leads to automate laboratory workflows and streamline data capture. 5. Technology Partnerships Establish and manage strategic relationships with technology partners relevant to the Practice. Identify emerging technologies and assess opportunities to incorporate them into Quantori's offerings and solutions. Develop partner-aligned enablement, training and certification programs. Build and maintain a strong base of partner-certified expertise within the Practice. Collaborate with technology partners on joint solutions, go-to-market initiatives and business opportunities. What we expect : Experience: 10+ years in laboratory informatics, lab automation, or scientific hardware/software integration within life sciences or pharma environments. Technical Expertise: Deep familiarity with commercial LIMS/ELN platforms (e.g., LabWare, Benchling, Revvity Signals), instrument middleware, and laboratory data standards (SiLA, AnIML). Domain Knowledge: Understanding of analytical lab instrumentation, assay automation, sample lifecycle management, and regulatory compliance (21 CFR Part 11). Commercial Acumen: Experience shaping consulting offerings and delivering profitable lab automation projects for pharmaceutical clients. Education: Bachelor's or Master's degree in Chemistry, Biology, Biomedical Engineering, Computer Science, or a related field. We offer : Competitive compensation Remote or office work Flexible working hours Healthcare benefits: medical insurance and paid sick leave Continuous education, mentoring, and professional development programs A team with an excellent tech expertise Certifications paid by the company

Location: P.R. China; Shanghai We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Team Global Digital Licensing oversees the use of Hasbro and partner IP across digital products and experiences, supporting licensing opportunities while ensuring consistent brand standards and compliance. The function works cross-functionally with global partners and internal teams to manage licensing requirements, approvals, digital submissions, and delivery throughout the product lifecycle. Following Licensing Stage Guidelines, the team covers defined digital approval and sample requirements across major licensed brands and partners. Job Overview Hasbro is seeking a commercially driven Director of Business Development (APAC) to grow its digital licensing business across mobile, PC and console gaming. You will bring Hasbro’s brands to life through compelling gaming experiences by identifying, structuring and closing strategic partnerships with leading developers, publishers, platforms and digital marketplaces across China and the wider Asia-Pacific region. Working with significant independence, you will represent Hasbro in senior-level discussions, make complex commercial decisions and build new revenue streams in some of the world’s most competitive gaming markets. Location and Work Arrangement This role is based at our Shanghai office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Drive New Business Growth You will identify and secure licensing opportunities for Hasbro’s portfolio of brands while building a strong pipeline of developers, publishers, platforms and strategic partners. You will develop business cases and proposals that connect our brands with relevant genres, audiences and market opportunities, contributing approximately one-third of the regional team’s annual new-business target. Lead Deal Development and Execution You will manage the full deal process, from partner identification and outreach through evaluation, negotiation, internal approval and closing. This includes structuring complex agreements covering royalties, minimum guarantees, development funding, marketing investment, user acquisition, territories, platforms and rights. Working directly with founders, executives and senior decision-makers, you will navigate commercial, cultural and regulatory requirements across markets. Opportunities will be assessed using financial analysis, market evidence, partner capabilities and long-term brand potential. Shape Regional Strategy You will develop and execute Hasbro’s digital licensing strategy across Asia-Pacific, providing expert insight into regional gaming markets, particularly China’s mobile and wider digital gaming ecosystem. You will monitor player behaviour genre performance, platform developments, monetization models, live operations, competitor activity and regulatory changes. These insights will inform recommendations on priority brands, partners, territories, platforms and investments, as well as emerging technologies and business models. Manage and Grow Strategic Partnerships You will build trusted relationships with senior leaders at licensees and strategic partners. After contract signature, you will oversee development progress, launch plans, live operations, title performance and contractual commitments. You will identify risks and growth opportunities, expand successful partnerships into new titles, platforms and territories, and address underperformance or delivery challenges with sound judgment and a solutions-focused approach. Collaborate Across Hasbro You will work closely with franchise, brand, legal, finance, marketing, product development and regional teams to ensure each partnership supports Hasbro’s global strategy, brand standards and long-term intellectual property value. You will align stakeholders, present clear recommendations to senior leaders and guide partners through internal approvals, development, launch and ongoing operations. You will also maintain accurate pipeline, revenue and forecast information while tracking contractual obligations, financial commitments and development milestones. What You'll Bring Experience You have substantial experience in business development, licensing, partnerships or a related commercial role within the gaming industry. You have worked with mobile, PC or console game developers, publishers or platforms in Asia, with direct experience in China strongly preferred. You have a successful record of originating, negotiating and closing complex, high-value gaming or intellectual property licensing agreements. You are comfortable managing senior relationships across markets and cultures, delivering significant new-business revenue and overseeing a complex commercial pipeline. Industry and Commercial Knowledge You bring deep knowledge of mobile, PC and console gaming, including development cycles, publishing models, platform economics, distribution and live operations. You understand licensing structures such as royalties, revenue sharing, minimum guarantees, development commitments, user acquisition and performance obligations. You also have strong financial and commercial judgment, including experience in opportunity valuation, business-case development, revenue forecasting and contract analysis. Leadership and Problem-Solving You can make sound decisions in complex and ambiguous situations, balance local market needs with global priorities and resolve difficult negotiations or partner challenges. You influence through credibility, expertise and relationships, communicate confidently with senior stakeholders and work autonomously while staying aligned with a globally distributed leadership team. Language, Location and Travel Professional fluency in Mandarin Chinese and strong written and spoken English are required. Additional Asian-language skills are welcome but not essential. This role is based in Hasbro’s regional office in Shanghai. You must be able to work effectively across Asia-Pacific time zones and travel internationally, primarily within Asia, as business needs require. Preferred Qualifications Ideally, you have experience licensing established entertainment intellectual property for mobile, PC or console games, along with a strong network of developers, publishers, platforms and digital marketplaces across Asia-Pacific. Experience with entertainment, gaming, toy or consumer brands is valuable, as is familiarity with China’s regulatory and publishing requirements. Experience supporting game launches and live operations after contract signature is also preferred. How You’ll Work You bring an entrepreneurial, partnership-focused approach, combining commercial ambition with sound judgment, cultural awareness and a commitment to protecting Hasbro’s brands. You are energized by creating opportunities, leading complex negotiations and developing gaming experiences that connect globally recognized intellectual property with players across Asia-Pacific. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Oakland, CA, United States Newsletter Writer / Content Developer - Volunteer Position - This is a remote role (within the US) * Fraud and phishing warning * If you are reading this away from the WeVote site, please apply directly via our volunteering portal/ATS at https://wevote.applytojob.com/apply. Do not apply via any other job portals, aggregators, or sites, as your information may not be secure, or the role may no longer be accepting applications. Thank you. Calling all journalists! WeVote, a nonpartisan nonprofit technology startup building the next generation of voting tech, has an open volunteering position for a Newsletter Writer / Content Developer (2-3+ hours per week) who wants to use their existing skills and learn new skills, while helping strengthen American Democracy. The newsletter writer will be tasked with writing engaging and informative content that shares news, information, goals, and wins for our all-volunteer voter activation nonprofit. We are looking for a writer to join the team who will help draft content that aligns with our mission and values. You will assist with content planning and may also be asked to help with research, interviewing, and writing including writing stories, volunteer profiles, event info, and related news, all designed to build awareness and do a bit of cheerleading. The ideal candidate will have excellent writing and editing skills and experience working with volunteers and/or in a nonprofit setting. This remote role is perfect for journalism students building portfolios or freelance journalists wanting to cover the evolving election landscape. About Us: WeVote is a nonpartisan get-out-the-vote nonprofit startup, and a celebrated Fast Forward nonprofit technology grantee . WeVote is a movement of over 120 passionate volunteers (starting with the founders) who are building open-source mobile technologies that touch and mobilize millions of voters on Election Day. We observe that many voters are busy, distracted, and impatient. We have a goal of providing a complete voting experience in 8 minutes, including the download of our app ("WeVote Ballot Guide, @WeVote"). More information is at https://WeVote.US . See Twitter @WeVote . We are a 100% volunteer and remote organization. What You'll Do: Write for one or both of our newsletters: one is internal for WeVote volunteers, and the other is an external newsletter reaching voters nationwide Cover a wide range of topics, creating news articles for the WeVote Blog. Recent stories we've published have been about voting laws, election security, voting access, Generation Z trends, and the U.S. Supreme Court taking up a legal challenge to a mail-in voting deadline in Illinois Help voters make informed decisions through straightforward, informational reporting Pitch story ideas and work on editor assignments Research and interview sources for volunteer profiles, event coverage, and election-related news Collaborate with editors and team members (includes weekly Tuesday meetings, ~1 hour) Receive bylines and clips for your portfolio We're Looking For: Current journalism students or recent graduates seeking portfolio-building opportunities Freelance journalists interested in civic engagement and voting rights coverage Strong writing and editing skills with journalism clips to share Experience with WordPress Bonus: background covering politics, civic issues, or nonprofit work To Apply: Send three writing samples showing range (any topics welcome) and a brief note about your interest.