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Location: Malta The Wow Are you passionate about data, technology and finding smarter ways to make systems run better? We're looking for a Data Operations Engineer to join our Data & AI organization in Malta, helping operate and continuously improve the data platforms that support our international business. You'll work with modern data technologies, including Snowflake, Apache Airflow and AWS , ensuring reliable data operations while contributing to improvements in monitoring, automation and platform stability. This role goes beyond day-to-day operations. We encourage our engineers to challenge existing processes, explore new technologies and implement improvements that make a real difference. From enhancing observability to developing automation and AI-assisted solutions, you'll have opportunities to actively shape how our data operations evolve. You'll collaborate with experienced Data Engineering, BI and DevOps teams, applying and expanding your technical skills while gaining valuable experience with business-critical data platforms. A taster of what you will be involved with: Data Platform Operations: Ensure the smooth daily operation of our data platforms, pipelines and reporting services, supporting reliable data processing and availability across the business. Operational Improvements: Identify opportunities to simplify processes, improve data reliability, reduce manual effort and enhance the efficiency of our operations. Automation and Innovation: Develop scripts, automated checks and AI-assisted solutions to streamline operational activities and improve platform reliability. Monitoring and Observability: Work with monitoring and alerting solutions, improving visibility into data pipelines and platform health to detect issues before they impact the business. Production Releases and Changes: Support deployments, data processing activities and operational changes, helping maintain stable and reliable production environments. Incident Management and Troubleshooting: Investigate and resolve technical issues, including pipeline failures, data inconsistencies and processing delays, collaborating with engineering teams when needed. Participate in a scheduled, compensated out-of-hours on-call rotation to help maintain service reliability. Cross-Team Collaboration: Work closely with Data Engineers, BI Developers and DevOps Engineers, share knowledge, document solutions and contribute to continuous improvement initiatives. What we are looking for: Must haves: Experience in Data Engineering, Data Operations, production support, database support or a similar technical role. Strong SQL skills , including writing and troubleshooting queries, working with joins and aggregations, investigating data inconsistencies and validating data. Good understanding of data processing concepts, data pipelines, transformations and dependencies. Experience troubleshooting technical issues using queries, logs, monitoring information or other diagnostic tools. Familiarity with production operations, incident management and troubleshooting practices. Strong analytical and problem-solving skills, with a structured approach to investigating issues and identifying root causes. Good written and spoken English, a collaborative mindset, ownership and willingness to learn. Nice to have: Snowflake or other cloud data warehouses , including data processing, querying and troubleshooting. Workflow orchestration, scheduling and data pipeline operations. Cloud environments and cloud-based data services. Monitoring, logging, alerting and observability solutions. Scripting and automation using Python, Bash or similar languages. Production deployments, change management or CI/CD processes. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is CAD 170,247 - $204,297 .  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 . #LI-Remote #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. 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 (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 position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. 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. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. 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 remote opportunity and we're interested in candidates based in the US or Canada. Residents of Quebec are not eligible for this role. Senior Full-Stack Software Engineer, Grafana Data Source Plugins The Opportunity: As a Senior Full-Stack Engineer in the Grafana Data Source Plugins squad, you will take a leading role in developing and enhancing a diverse portfolio of data source plugins that retrieve the data powering Grafana dashboards used by teams worldwide. Our team focuses on continuously improving data source plugins, ensuring seamless experience for human and agent users alike. A key aspect of this role is guaranteeing the smooth operation and reliability of our plugins in the Grafana Cloud, helping us deliver on our commitment to world-class observability tools. What You’ll Be Doing: Some data source plugins we own: Prometheus, Loki, Infinity, MySQL, PostgreSQL, AWS Cloudwatch, and Clickhouse.  The full catalog is listed here . A typical “day in the life” could include: Building or improving Grafana plugins to integrate third party services or databases into Grafana Supporting the operations and reliability of our plugins in Grafana Cloud Coming up with suggestions for process improvements Integrating data sources with agentic workflows such as Grafana Assistant Providing technical support in customer escalations Working closely with the rest of the Grafana Division What Makes You a Great Fit: You know how to transform ideas into working code, you are able to design a solution, get feedback and deliver large projects. You are a self-driven individual who understands the power of feedback loops in making roadmap decisions and driving our product forward. You are a motivated self starter with a bias towards action, and willing to take on any challenge You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You are an excellent communicator and you enjoy collaboration You are comfortable working in a remote-first company Requirements: Solid experience with Golang & Typescript Experience with Kubernetes & microservices Experience writing clean, robust, and performant software that is easily maintained by others Experience participating in an on-call rotation and performing operations/SRE tasks Bonus Points For: You have been a user of Grafana and Grafana Data Sources You have expertise in one of the underlying databases we support You have strong experience working with a Product Manager or external stakeholders In the United States, the Base compensation range for this role is USD $ 167,143 - $200,572 .  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 . #LI-Remote #LI-Remote *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: belgrade We are looking for an Identity & Access Management Engineer to join our team. Our team is responsible for managing and continuously improving identity and access management processes across Plata. We ensure secure and efficient access to corporate systems by maintaining identity infrastructure, developing role-based access controls, and implementing access governance practices that support the company's security and operational needs. As an Identity & Access Management Engineer , you will manage and optimize identity operations, including Active Directory, user access, permissions, and identity lifecycle processes. You'll collaborate closely with Infrastructure, Security, HR, and application teams to resolve complex access-related issues, strengthen access governance, and introduce automation and process improvements that make identity management more secure, scalable, and efficient. Challenges that await you: Own and improve Identity Operations, including Active Directory operations, user and group lifecycle management, access management, and related operational processes. Help develop and maintain RBAC and Identity & Access Management practices across the company, including role management, access reviews, access governance, and Joiner/Mover/Leaver processes. Investigate complex access-related issues, analyze group memberships and permission paths, troubleshoot authentication and authorization problems, and identify the root causes of access issues. Improve operational processes by identifying manual or inefficient tasks, maintaining documentation, suggesting automation opportunities, and helping introduce new IAM tools and capabilities into daily operations. Work closely with Infrastructure, Security, HR, and application teams on access models, new service onboarding, and improvements to identity management processes. Depending on your experience and strengths, your primary focus may evolve toward Active Directory Operations, Identity Governance, RBAC, or Identity Lifecycle Management , while collaborating closely with the rest of the team. What makes you a great fit: 3+ years of experience with Active Directory, Identity & Access Management, or related IT operations in an enterprise environment. Good understanding of Active Directory, IAM, RBAC, authentication, authorization, and identity lifecycle concepts. Experience managing users, groups, permissions, and access-related processes. Experience investigating complex access or authentication issues and performing root cause analysis. Ability to analyze existing processes, identify problems, and suggest practical improvements. Strong analytical thinking, ownership, and communication skills, with the ability to work across technical and business teams. Bonus skills: Experience with Identity Governance (IGA) or enterprise IAM solutions. Experience with SCIM, SSO, identity provisioning, or enterprise SaaS access management. Experience with PowerShell, APIs, or other automation tools. Experience with RBAC implementation, role models, access reviews, or access certification. Knowledge of Joiner/Mover/Leaver processes, Segregation of Duties (SoD), and least privilege principles. Experience participating in IAM, security, or infrastructure improvement projects. Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to Kazakhstan, Cyprus, or Georgia with full visa & permit support to the employee and family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: All Cities Workplace: Remote Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. ROLE OVERVIEW We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client. You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable. This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively. As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy. KEY RESPONSIBILITIES - Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns - Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team - Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems - Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback - Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production - Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call - Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements - Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar QUALIFICATIONS - 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end - Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil - Hands-on experience designing modernising and operating CI/CD pipelines - Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation) - Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker) - Proficiency in at least one programming/scripting language for automation (Python / Go / Bash) - Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry) - Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation - A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals - Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices YOU WOULD IMPRESS US IF YOU HAVE - Prior experience working with Google Cloud Run - Experience introducing AIOps tooling into an existing observability stack - Background in performance and load testing. - Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR) OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Programme – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Location: Remote - United States Workplace: Remote Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom, we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. THE TEAM AND YOUR IMPACT As a Growth Marketing Manager, you’ll build the systems that make our marketing fast and agile. The tools and tactics in the age of AI change constantly, but what lasts is the underlying system: clean signal data, a scoring model that routes it, and reusable workflows the team can build on. You’ll own that system, using automation and AI to turn a week of work into an hour. You’ll own the end-to-end demand generation engine that translates market signals and buyer intent into measurable pipeline and revenue impact. You’ll connect audience intelligence, multi-channel campaigns, lifecycle engagement, and sales activation into scalable, repeatable growth motions. You should be able to pull the data, architect a target list, generate the creative, and ship a multi-channel campaign using AI tools and systems, while ensuring every campaign, data point, and automation strengthens the broader growth engine. WHAT YOU WILL OWN - The Core Growth Motion: Build reusable campaign systems: templates, automations, and workflows to spin up integrated campaigns without rebuilding from scratch each time. Run priority campaigns end to end, from targeting and messaging through multi-channel execution and pipeline accountability. - Build the Warming Engine: Architect cohort-based nurture journeys (including content-download, post-event, post-onboarding, and always-on nurture programs) that move contacts from first touch through consideration toward sales readiness, rather than sending high-intent accounts directly into cold sales outreach. Improve the new-user onboarding sequence, own the monthly newsletter, and manage the startup program. - Work at the Intersection of Data, AI, and Marketing: Use signals, scoring, AI tools, and connected workflows to identify who to target, determine the next best action, and execute campaigns efficiently. Get ahead of agent-driven discovery: make content and signals legible to the tools buyers now use to choose vendors. - Product Fluency and Technical Storytelling: develop a deep understanding of our product, its technical capabilities, use cases, and competitive differentiation. Partner with Product Marketing for relevant, value-driven campaigns. WHO YOU ARE - Demand Gen Experience: 3-5+ years in demand generation, growth marketing, or lifecycle marketing, running campaigns end to end in B2B tech, ideally toward technical audiences or for open-source products. - Lifecycle Expertise: hands-on experience building, measuring, and optimizing cohort-based nurtures via email and in-app. - Builder Mindset: you're not just an operator. You build the workflows instead of relying on an existing machine, pull and shape data yourself to build lists and scoring, and you're fluent in signal and scoring tools. - Systems-Level Thinking: you execute the task in front of you while understanding how each campaign, workflow, and data point feeds the broader growth engine. - Technical Workflow Fluency: you're familiar with agentic approaches and think in connected tools and automated workflows, not manual steps. - Problem Solving: you work from a goal and can identify the steps and systems needed to get there. NICE TO HAVE - Familiarity with tools such as Common Room, Inflection, HubSpot, Salesforce, and Amplemarket. - Experience with open-source-to-paid or product-led growth motions. WHY JOIN US - A remote-first, international team working on cutting-edge AI infrastructure. - A competitive salary with additional perks. - Flexible working hours and async-friendly culture. - High ownership and real impact. - Open-source, engineering-driven culture. - Choose your own laptop equipment. For US-based full-time employees, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy. Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist. Come build with us! FOR INFORMATION ON HOW WE HANDLE YOUR PERSONAL DATA, PLEASE REFER TO OUR RECRUITMENT PRIVACY POLICY https://qdrant.tech/legal/recruitment-privacy-policy/ #LI-REMOTE

Location: Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: MX - Mexico City, Mexico Scopely is hiring a People Operations Partner to work on a hybrid basis from our Mexico City hub. The People Operations Partner makes the employee experience run smoothly for our North America employees. You’ll bring operational expertise and a continuous improvement mindset to onboarding, local benefits, global mobility, and everything between. You care about getting the details right, and you’re always looking for a simpler, faster, better way to do things. Compliance is part of how we work, and your focus is delivering accurate, thoughtful, people-first service. What You’ll Do Employee Experience and Lifecycle Management Own onboarding for new hires and deliver People Operations new hire orientations that make a strong first impression. Confirm all new hires have the legal right to work and have completed required documentation before day one. Maintain accurate and up-to-date employee records. Support internal and external audits by ensuring employee documentation is completed. Conduct employment verifications. Partner with the People Business Partner (PBP) org and Legal on offboarding to make the exit experience smooth and respectful. Act as a trusted advisor to PBPs, managers, and employees, offering clear guidance on local requirements and processes. Continuous Improvement and Process Excellence Drive ongoing improvements to People Operations processes, reducing manual work, errors, and turnaround time. Generate and analyze JIRA and People Analytics metrics to spot trends, inform decisions, and improve productivity, including through the use of AI. Create and maintain SOPs for core People processes, with clear roles and responsibilities. Collaborate with Legal, IT, and HR Tech to refine HR systems and keep them efficient and aligned with data privacy requirements. Local Benefits Support Support employee and manager questions on local benefits, providing timely and accurate answers. Partner with local brokers in Mexico City to administer benefits, resolve issues, and support open enrollment and renewals. Identify recurring questions and gaps, and turn them into clearer communications, FAQs, and improved processes. Global Mobility Support Support Global Mobility cases from start to finish, coordinating with the Global Mobility team, Legal, and external providers. Coordinate with vendors on relocation services and travel visa support, keeping timelines, costs, and deliverables on track. Keep employees informed at each step, so they know what to expect and who to contact. Accuracy, Data Integrity and Compliance Ensure HR processes align with local labor laws and global standards, and flag potential issues early. Maintain accurate new hire data and perform quarterly audits. Prepare and submit required compliance reports to government agencies on time and accurately. Serve as a subject matter expert on employment regulations, supporting audits and legal reviews as needed. Policy Development and Communication Partner with Employee Relations to develop and implement HR policies that reflect our culture and meet legal requirements. Communicate policy updates clearly to employees and leadership. Make sure policies and procedures are easy to find for employees and the People Team. People Operating System Collaborate across teams to maintain a People operating system that supports the business and creates a seamless experience for employees. What You Bring 4+ years of experience in People Operations, HR operations, or HR administration, ideally in a fast-paced, global environment supporting multiple countries. Working knowledge of Mexican employment law and HR compliance requirements (IMSS, INFONAVIT, SAT, STPS), with the ability to apply it in practice and learn U.S. and Canadian requirements. A track record of improving processes, whether by streamlining workflows, building templates and SOPs, or using data to find and fix gaps. Exceptional attention to detail and a commitment to accuracy in employee data, documentation, and reporting. A service mindset: you communicate clearly and empathetically, and take ownership of making things easy for employees and managers. Experience with an HRIS (Workday preferred) and a ticketing tool (JIRA preferred). Comfort with reporting and metrics. Demonstrated experience, operating or improving agentic AI workflows in a business setting. You must be able to design safe workflows, define the agent's steps, place human approvals at appropriate points, safeguard sensitive data, validate outputs, handle failures, document the workflow and measure accuracy and business impact. Strong project management skills and the ability to prioritize across multiple workstreams. Fluent in English and Spanish, written and verbal. Nice to Have Familiarity with U.S. and Canadian employment practices is a huge plus. Experience administering local benefits and working directly with brokers or carriers. Experience supporting global mobility, immigration, or relocation processes, including managing external vendors. Experience with employee data privacy requirements (e.g., LFPDPPP, GDPR). HR certification or a degree in HR, business, law, or a related field. Please ensure that the résumé/CV you attach is written in English. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $310,000 — $360,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote About the problem space AI has changed what's possible in go-to-market, support, and business operations. The constraint is no longer "can we build it" — it's "can we deploy it into a real workflow, prove it made things better, and keep it working." Most companies are stuck at the demo stage: a lot of clever prompting, very little that runs reliably on Tuesday morning without someone watching it. This role exists to get us past that, everywhere outside of engineering. Little more about the team: You'll sit on the Data team, which is where this work belongs. Our team already operates at the seam between the business and its systems — we partner daily with RevOps, Customer Success, Sales, and Product, and we own the data infrastructure these workflows depend on. AI-in-the-business is a data problem with a model attached, and you'll have the pipelines, the warehouse, and the domain relationships already in place. What you'll do You are a senior individual contributor. Your job is to take business workflows that are slow, manual, or inconsistent, and make them fast, automated, and measurably better — then do it again, and leave behind enough shared scaffolding that the third one is easier than the first. Ship automated workflows end to end Partner with department leaders to identify the highest-leverage workflows in their orgs, and go deep enough on how the work actually happens to know where a model helps and where it doesn't. Define success before you build: cycle time, quality, cost, risk. Instrument it. Report on it honestly, including when the answer is "this didn't work." Deliver working systems, not prototypes, with evaluation harnesses, human-in-the-loop review where the stakes call for it, and ongoing monitoring. Iterate on adoption the way a product manager would: user research, documentation, and a real plan for getting people to use the thing. Build the shared substrate as you go Establish patterns for model access, orchestration and agents, prompt and tool management, evaluation, logging, and cost control — derived from what real workflows needed, not designed in advance. Build on the Data team's existing infrastructure rather than standing up parallel systems. Co-own shared components with your counterpart in Engineering; identify dependencies early and bring them into partner roadmaps collaboratively. Make the company fluent Create templates, playbooks, and golden paths: prompt patterns, agent patterns, safety checklists, evaluation patterns. Run office hours, demos, and community-of-practice sessions that make adoption feel accessible rather than intimidating. Develop enablement material for distinct audiences — GTM, operations, leadership — from fundamentals through advanced workflows. Help people build judgment about AI: when to use it, when not to, and how to tell whether it worked. Keep it safe and governable Partner with Security, IT, and Legal on access control, data handling, vendor risk, and policy — so that employees have a clear, fast, safe path to experiment. Work with the Data team to apply our data classification standards to AI use cases: what data can be used for retrieval and context, and what audit trails are required when sensitive data flows through LLM pipelines. What you'll bring Deep experience shipping systems into real business workflows — you've owned something end to end, in production, that non-technical people depended on daily. Hands-on fluency with modern AI stacks: LLMs, retrieval, tool use and agents, evaluation, guardrails — plus the pragmatism to keep things shippable. The ability to learn someone else's job well enough to improve it. This role lives or dies on understanding how support, sales, or finance actually work. A track record of leading cross-functional initiatives without formal authority, bringing clarity, momentum, and crisp decision-making. Comfort navigating security, privacy, and compliance tradeoffs in real organizations: data classification, retention, access controls, vendor risk. Strong teaching instincts — you explain complex things simply, write clear docs, and meet people where they are. Demonstrated ability to stay current as the landscape shifts, and to change your mind in public when the evidence does. Nice to have SQL fluency and comfort in a modern data stack (dbt, a cloud warehouse, BI tooling). Experience with workflow automation or enterprise systems: case management, ticketing, CRM, knowledge bases. Familiarity with observability practices for AI systems: monitoring, quality signals, evaluation pipelines, cost and latency analysis. Change management experience across a distributed, multi-function company. Interest in external evangelism — writing, speaking, podcasts, peer groups. Base Salary based on level of experience $225,000 — $265,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: United States Workplace: Remote Manager, Commercial Operations We are looking for a Manager of Commercial Operations to build and run the transactional engine of the commercial function inside Revenue Operations. ClickHouse runs on a usage-based pricing model, and every deal – direct, marketplace, or partner – has to land correctly in the system: quoted against the right rules, ordered against the right contract structure, and booked cleanly enough that Accounting can bill and recognize it without rework. As we scale the cloud business and widen the product line, that path has to carry more volume, more products, and more deal structures without adding people to the middle of it. This role designs the systems, automation, and controls that make that possible. Reporting to the Director, Commercial Strategy & Operations, you will own the quote-to-order path and order management, along with the build behind it: the CPQ and quoting system requirements, the automation, the validation and controls, and marketplace transaction operations across AWS, GCP, and Azure. The goal is a commercial path where the standard deal is self-service for the field, quality is enforced by the system rather than by who touched the deal, and human review is reserved for the cases that genuinely need judgment. You will be measured by how fast and how cleanly a deal moves, how little intervention it requires, and how good the experience is for the rep. You will partner daily with Sales, Accounting, Finance, Legal, and Revenue Engineering. WHAT YOU'LL BE DOING - Own order management and automate it. Run the intake, review, and processing of quotes, order forms, and bookings to defined SLAs through quarter-end peaks, and continuously engineer the manual steps out of that path. - Design the quote-to-order flow. Instrument the process, find where it slows or breaks, and redesign it. You own the architecture of the flow, the exception routing, and the automation that makes the standard case hands-off. - Own the quoting and order management system build. Write the requirements, design the quoting, validation, and approval logic, drive the roadmap with Revenue Engineering, run UAT, and validate every change in production before the field sees it. - Own the handoff into billing and revenue. Partner with Accounting so that what leaves your process arrives structured, complete, and reconcilable – and build the controls upstream that keep downstream rework from happening at all. - Build quality in as controls. Validation rules, guided quoting, required-field logic, and automated reconciliation that make an incorrect order hard to submit in the first place. - Own the field experience of transacting. Treat the rep as the customer: fewer steps, fewer handoffs, shorter quote cycle time, and a standard path that is obvious and self-service. Measure whether it is getting easier. - Build and run marketplace transaction operations across AWS, GCP, and Azure. Private offers, CSP transactions, co-sell mechanics, and the tooling and automated reconciliation that keep marketplace bookings tied out across the marketplace, Salesforce, and billing. - Operationalize commercial review. Encode approval rules and guardrails in the system so routine deals route themselves, and escalate the structures that break the system rather than quietly processing them. - Build the transaction path for new products and acquisitions. Stand up order management, quoting, and the marketplace path for new offerings and newly acquired products, test the flow through to booking before go-live, and be ready to transact on day one. - Own the integrity of the commercial record. Products, SKUs, pricing, contract terms, and booking attributes in Salesforce, with the controls and monitoring that keep them clean – the forecast and revenue reporting downstream depend on it. - Instrument and report on the system you own. Cycle time, touch count, SLA attainment, exception and discount volumes, error and rework rates. Use the data to decide what gets built next. WHAT YOU BRING ALONG - 6+ years in commercial operations, deal desk, order management, sales operations, or revenue operations, including time owning a high-volume transactional process. - A track record of building, not just running. You have replaced a manual process with a designed one and can point to the automation, the controls, and the measured result. - Hands-on depth in Salesforce and Salesforce CPQ. You write requirements, design quoting and approval logic, configure and test it yourself, and can tell a configuration problem from a process problem. - Technical range beyond the admin console: flows and validation logic, API-based and marketplace integrations, and scripting or SQL to reconcile and investigate data at volume. You can partner with Revenue Engineering as a peer on design. - Experience with usage-based or consumption-based contracts: metering, commits, overages, contract structure, and the downstream billing and revenue recognition implications. - Experience operating across a shared quote-to-cash process. You know where order management ends and Accounting begins, and you design the handoff so neither side is cleaning up after the other. - Marketplace operations experience with AWS, GCP, or Azure – private offers, CSP transactions, and reconciliation – strongly preferred. - Process-engineering instincts. You instrument before you optimize, design for the standard case and route the exception, and measure by throughput and error rate rather than activity. - A bias toward field experience. You have made a transactional process materially faster or simpler for a sales team and can describe how you knew it worked. - Comfort partnering with Accounting, Finance, and Legal on order form and contract mechanics. - Sound judgment under deal pressure. You can hold the line on a structure that breaks the system, and advocate for the field when the exception is justified. - Clear written and verbal communication. You can explain a commercial rule to a rep in one paragraph and brief leadership on what's at risk at quarter-end. - Experience managing or mentoring analysts a plus; this role is expected to grow a team as volume scales. - Bachelor's degree, quantitative or technical field preferred. 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: United States (Remote) Workplace: Remote About the Role We’re looking for a Senior Director of Global Field Operations to own field operations across Temporal’s entire field organization. This leader has formal accountability for operations supporting Sales, Technical Services (Solutions Architects, Developer Success, Services, and Platform Architects), and Partners, across every region and every motion: New Logo, Growth, and Commercial/hybrid. Regional and functional Field Operations leaders report into this role. You’ll set the global operating model they run on, decide where regional flex makes sense, and give the field one consistent set of standards, metrics, and cadences across the business. Reporting into the VP of GTM Operations, you’ll partner with senior Sales, Technical Services, and Partner leadership, along with Finance, GTM Systems, Analytics and Marketing, to drive territory design, quota and capacity planning, coverage models, pipeline and forecasting hygiene, and the operating cadence. That includes the problems specific to a consumption business: how workload ramps show up in forecasts, how technical resources get matched to deals, and how partner-sourced pipeline gets credited. We’re building a GTM Operations function that is AI-native from the ground up. We expect this leader to use AI tools today to speed up analysis, surface insights, and scale operational work, and to set the bar for how their team does the same. Responsibilities - Own the global field operations function, leading and developing regional Field Operations leaders and building out coverage for regions and functions as the business grows. - Serve as the senior operations partner to Sales, Technical Services, and Partner leadership, delivering insights on pipeline generation, account penetration, coverage, and productivity. - Define the global operating cadence for the field (forecast calls, pipeline reviews, QBRs, account planning), with clear standards for what’s global and where regions can flex. - Own global pipeline visibility and forecasting hygiene across all motions and regions, including large complex enterprise deals, consumption workload ramps, Commercial/self-serve pipeline, and partner-sourced and partner-influenced deals. - Drive annual and in-year planning for the full field: capacity plans, territory carving and re-carving (including account transitions), and quota allocation across New Logo, Growth, and Commercial, in close partnership with Finance and GTM Strategy. - Own Partner operations: program mechanics, deal registration and attribution rules, co-sell processes, cloud marketplace transactions, and reporting on partner-sourced and partner-influenced pipeline. - Conduct global white-space and TAM analysis to identify high-propensity targets and inform market entry, coverage model, and org design decisions. - Analyze field performance (win/loss, deal velocity, conversion, quota attainment, SA and partner involvement) across regions and segments, and translate findings into clear recommendations for executive leadership; use AI tools to find patterns at scale. - Partner with GTM Analytics to set global standards for Salesforce and Omni reporting, owning one consistent set of field metrics and dashboards across Sales, Technical Services, and Partners. - Identify process gaps across the field and partner with GTM Systems to scope and implement automation, including AI-assisted workflows that cut manual effort and expand coverage. - Represent field operations in executive planning forums, giving leadership a single, trusted view of field health. Qualifications - Significant experience in Sales Operations, Revenue Operations, or Field Operations in B2B enterprise technology or software, including leading a multi-region team of operations leaders. - Proven track record owning operations for multiple GTM functions at once, ideally Sales, pre-sales/Solutions Architecture, Services or Customer Success, and Partners. - Experience supporting multiple sales motions at once: net-new logo hunting, growth/expansion within existing accounts, and self-serve or hybrid AE-assisted motions. - Demonstrated AI-native working style: hands-on experience using AI tools (e.g., ChatGPT, Gemini, Notion AI, or purpose-built GTM AI tools) to speed up analysis, automate repeatable ops tasks, generate insights from large datasets, and improve the speed and quality of decision-making. We want to see how AI is built into how you and your team work today. - Experience operating across AMER, EMEA, and APJ, with sound judgment on where global consistency matters and where regional differences need room. - Hands-on experience with territory design, account scoring, quota allocation, and capacity modeling for both quota-carrying and technical/overlay roles. - Experience building partner operations, including deal registration, attribution, co-sell, and cloud marketplace motions. - Strong Salesforce expertise, with a track record of building reporting and metric definitions that hold up across regions, segments, and functions. - Highly analytical, with the ability to turn data into clear, actionable insights for executive leadership - Strong cross-functional partner to Sales, Technical Services, Partners, Finance, GTM Systems, and Marketing leadership. - Comfortable presenting recommendations to executive leadership and holding a position under pushback. - Able to operate both strategically and tactically depending on business needs. - Bonus: experience operating in a consumption-based business - Bonus: experience evaluating or deploying AI-powered GTM tools and driving adoption across a global field organization Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE As our Inventory Specialist, you'll make sure our engineers always have the right parts, in the right place, at the right time. You will run day-to-day receiving, storage, stock control, cycle counting and kitting for the hardware side of a small, fast-moving team of around 40 engineers building cutting-edge humanoid robots. site, keeping material flowing accurately into prototype builds. This is a senior individual-contributor role: we need someone competent and self-directed who can run the site’s stores with minimal supervision. WHAT YOU'LL DO Boston Site Focus - Be the first dedicated hands-on warehouse resource in Boston, setting up and organizing the stores area, location structure and labelling, and supporting the site’s prototype builds with accurate receiving, storage and kitting. - Get the site’s prototype material ready for builds, working with the SCM Lead Boston and the local Senior Buyer on inbound material and priorities, including long lead-time items, so shortages are flagged early. - Keep stock records and inventory reporting aligned with the other Humanoid sites so material can be seen and planned globally, and help shape how the site tracks inventory as it grows. - Follow OSHA and applicable Massachusetts workplace safety requirements, including safe handling and storage of materials. Goods Receiving & Put-away - Receive inbound deliveries from suppliers, carriers and 3PL partners; check paperwork against the purchase order and inspect goods for damage, shortages or non-conformance. - Record goods receipts accurately on the day of arrival in JIRA and the site’s inventory tracking sheets, and put material away to the correct, labelled location. - Segregate and record quarantined, rejected and non-conforming stock, and support the return-to-supplier process with the SCM and quality teams. - Handle ESD-sensitive, high-value, serialized and lot-controlled components with the care they need, maintaining traceability from receipt to build. Inventory Control & Stock Accuracy - Run daily and weekly cycle counts to the global schedule, investigate variances at root cause, and record adjustments with proper authorization. - Own stock accuracy for the site: keep physical stock, inventory records and locations in agreement, and report accuracy KPIs to the SCM Lead and global WILP team. - Set, review and maintain minimum / maximum (safety stock) levels for the site’s consumables, common parts and high-usage items, working with the SCM Lead and the planning team, and raise replenishment requests before stock runs short. - Support periodic and year-end stocktakes, and flag ageing, excess, obsolete or slow-moving stock early. - Keep every movement (transfers, issues, returns, scrap) recorded in JIRA and the inventory sheets in real time, so no stock goes untracked. - Use Excel or Google Sheets, and AI tools where they help, to build and maintain count plans, stock reports and variance analysis, and to automate repetitive tracking tasks. Material Movement, Kitting & Build Support - Pick, stage and deliver kits to the build area against BOM and build schedule, and check kits are complete and correct before release. - Respond to urgent pick requests and shortages from engineering and production, and give procurement and planning a clear, early view of material gaps. - Manage material issues to builds and returns of unused material back to stock, with accurate records throughout. - Move material between storage, kitting, build and test areas safely using pallet trucks and other manual handling. Dispatch, Returns & Inter-site Transfers - Prepare outbound shipments, supplier returns and rework loops, and arrange collection with carriers or 3PL partners. - Prepare accurate shipping and customs paperwork for parts and sub-assemblies moving between Humanoid sites (London, Boston and Vancouver), working with the Logistics team so shipments clear without delay. - Track inbound and outbound shipments and chase delays before they affect builds. Site Operations, Safety & Continuous Improvement - Keep the stores area clean, organised, safe and compliant with local health and safety requirements. - Maintain location structure, labelling and storage layout, and apply 5S principles. - Support the site asset register by tagging, locating and verifying tools, fixtures and equipment held in stores, and keeping custody and location records up to date. Ownership of the master asset list sits outside this role. - Suggest and help implement practical improvements to receiving, storage, kitting and counting processes, and follow global warehouse and inventory SOPs. - Cover the site’s warehouse needs independently, and escalate issues that need SCM Lead or global WILP support in good time. Expectations - Work with a high degree of autonomy, setting your own daily priorities with minimal supervision. - Act as the site’s subject-matter expert for receiving, stock control and kitting, and a go-to person for colleagues in engineering, production and procurement. - Train, coach and support colleagues and temporary or contract staff on warehouse processes and inventory tracking. - Help build, document and improve the site’s warehouse processes as the team grows. - Not a people-management role: you will set the standard and lead by example on site. - On-site role in a warehouse and stores environment, including standing, walking and regular manual handling (lifting up to 23 kg / 50 lb, with equipment available for heavier loads). WHAT WE'RE LOOKING FOR Essential Experience & Skills - 4+ years of proven hands-on experience in a warehouse, stores or inventory control role, ideally in manufacturing, electronics, robotics, aerospace, automotive or a prototype/R&D build environment. - Practical, hands-on use of Excel or Google Sheets (formulas, lookups, pivots, simple dashboards) and the confidence to use AI tools to make stock tracking and reporting faster and more accurate. - Experience of cycle counting and stock reconciliation, including investigating and resolving variances. - Experience of kitting and material issue to production against BOMs, and the ability to read a BOM and drawings. - Comfortable using Slack and collaborating digitally with remote teams. - Able to work safely in a physical warehouse environment, including regular lifting and moving of materials with or without reasonable accommodation. - Some flexibility in working hours may be needed to support urgent builds and time-critical deliveries. Qualifications & Site Requirements - Degree or diploma in supply chain, logistics, business or a related field, or equivalent practical experience; a warehouse or logistics certificate is a plus. - OSHA 10-hour general industry training is an advantage. - Awareness of U.S. DOT hazardous materials shipping requirements is an advantage. - Legally authorised to work in the United States. Desirable - Experience in a small, fast-moving or start-up environment where processes are still being built. - Experience of JIRA or a similar ticketing system, or of an ERP or warehouse management system. Not required: full training on our JIRA-based processes will be given. - Familiarity with handling lithium batteries and other regulated or hazardous components. - Exposure to working with 3PL providers, carriers and import/export documentation. - Lean or 5S training, or an inventory/warehouse qualification such as APICS CPIM or an equivalent. Behavioral Skills - Ownership and reliability: you finish what you start and you are accurate every time. - Methodical, organized and detail-focused, with a strong sense of accuracy and compliance. - Clear, proactive communication with engineering, production, procurement and the London-based leadership team across time zones. - Comfortable working independently and sound judgement on when to escalate. - Flexible and practical in a fast-paced, changing environment, with willingness to support build peaks. - A problem-solving mindset and a positive, hands-on attitude. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $60K–$80K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for an Engineering Manager to lead a product engineering team at ClickUp. This is an open team placement role: you'll join a product team based on your strengths and our business priorities, rather than being hired into a single predefined product area. Across teams, the mandate is the same: build a strong team, ship useful product improvements, and take ownership of the quality and reliability of what you deliver.   Engineering Managers at ClickUp are hands-on. You'll lead from the front: reading and reviewing code daily, debugging production issues alongside your team, prototyping when it unblocks a decision, and shipping code yourself when the team needs it. Your technical credibility is how you earn trust, set the bar, and make good calls quickly.   You'll also own people management, delivery, and team execution. Working closely with product, design, and technical leads, you'll turn customer problems into clear priorities and achievable milestones. You'll develop engineers, make trade-offs explicit, and keep work moving without letting quality or maintainability become someone else's problem.   You'll also run an AI-native team. We structure work so AI agents can read it, route it, roll it up, and report on it. Progress and team health should be visible from real signals, with reporting available self-serve rather than dependent on status meetings. We want a manager who has used AI to remove busywork and improve how a team builds, and who can help engineers use it responsibly across planning, implementation, testing, and operations. RESPONSIBILITIES - Lead and develop a product engineering team. Own hiring, onboarding, mentorship, performance, and career growth, and build a team where expectations are clear and feedback is direct. - Own delivery from planning through release and follow-through. Break work into clear milestones, manage dependencies, surface risks early, and make realistic commitments. - Set priorities with product, design, and engineering leadership. Connect engineering work to customer needs and business outcomes, and make deliberate trade-offs between new features, reliability, and technical debt. - Lead from the front technically. Stay close to the codebase: review PRs, dig into production issues, write code and prototypes when it unblocks the team, and know your systems well enough to spot risk before it ships. - Drive architecture and implementation decisions with your technical leads and senior engineers. Bring real depth to design discussions, challenge assumptions with specifics, and make the call when the team is stuck. - Run an AI-native team. Use AI tools and agentic workflows to improve planning, development, testing, triage, and reporting, while maintaining clear ownership and human review where it matters. - Uphold a high engineering bar across design and code review, automated testing, performance, security, and maintainability. Build quality into delivery rather than treating it as a final checkpoint. - Own the operational health of your team's product area. Establish appropriate monitoring, safe rollout practices, incident response, and on-call ownership, and turn production issues into lasting improvements. - Collaborate across product teams and shared platform teams to resolve dependencies and deliver coherent customer experiences. - Keep priorities, progress, risks, and decisions visible. Use evidence to improve team execution and product outcomes, rather than optimizing for activity counts. REQUIREMENTS - 6+ years of professional software engineering experience building production software, including substantial time as a hands-on senior engineer, with 2+ years managing an engineering team. - You still code. You're comfortable working in a modern production codebase (TypeScript, Node.js, React, or similar), reviewing PRs with substance, and debugging across the stack. - A track record of delivering customer-facing SaaS products or services, with ownership extending beyond launch to reliability, maintenance, and customer outcomes. - Experience hiring, coaching, and developing engineers, including giving direct feedback, managing performance, and supporting career growth. - Deep technical judgment. You can lead architecture discussions, evaluate trade-offs from first-hand experience, and hold a high engineering bar because you know what good looks like in the code. - Experience partnering closely with product and design to define priorities, scope work, and deliver against clear milestones. - A demonstrated ability to use AI tools and agentic workflows to improve engineering work and reduce manual coordination, with attention to correctness, security, and review. - Comfort working through ambiguity, learning unfamiliar product areas, and making decisions with incomplete information. - Clear communication and effective cross-functional collaboration. You make ownership, trade-offs, risks, and next steps easy to understand. - Daily fluency with AI tools in your own workflow. PREFERRED QUALIFICATIONS - Recent, meaningful code contributions as a manager: features, fixes, tooling, or prototypes you shipped yourself. - Experience managing engineers across frontend and backend, or leading delivery across multiple technical disciplines. - Experience building and operating software at scale, including performance, reliability, safe migrations, and incident management. - Experience in a fast-moving product organization, balancing customer-facing delivery with platform improvements and technical debt. - Experience introducing AI-native or agent-driven workflows to an engineering team, with measurable improvements in quality or execution. - Experience building collaboration, productivity, or workflow software, or products used by both individual users and enterprise customers. - Experience leading distributed teams across time zones. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: New York City ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Revenue Operations Specialist to keep Peec's revenue engine clean, accurate, and running on time. Our sales team is scaling fast across Berlin and New York on a motion that combines product-led signups with outbound, and every forecast, pipeline review, and routing rule depends on the data in HubSpot being right. You'll own that day-to-day layer hands-on: maintaining HubSpot, building the reports and dashboards sales leadership runs on, and taking manual admin off the GTM team's plate. You'll report to CRO and work daily with AEs, SDRs, and sales leadership. This is a role for someone early in their RevOps career who wants to learn fast inside a company that's growing faster. This is an on-site role in our New York office. WHAT YOU'LL DO - Keep HubSpot clean and trustworthy: properties, lifecycle stages, deal stages, duplicates, and the hygiene standards everything downstream depends on - Build and maintain the reports and dashboards behind weekly pipeline reviews, conversion tracking, and forecast calls - Manage lead routing and assignment rules so inbound, product signups, and outbound land with the right rep fast - Build HubSpot workflows and automations that take manual work off AEs and SDRs - Support territory, quota, and commission tracking with clean data and accurate inputs for Finance - Onboard new GTM hires onto HubSpot and the tools around it, and keep process documentation current - Handle day-to-day CRM requests from the sales team and spot the patterns worth fixing properly WHAT WE'RE LOOKING FOR - 1 to 3 years in Revenue Operations, Sales Operations, or CRM administration at a B2B SaaS company - Strong hands-on HubSpot skills: you've built workflows, reports, and properties, not just logged activity in it - Detail-oriented with data: you notice when a number looks wrong and dig until you know why - A clear communicator who can push back on a messy process with reps and sales leaders - Curious about AI tooling and keen to automate repetitive work - Based in New York, or ready to relocate, and excited to be in the office five days a week BONUS POINTS - HubSpot certifications (Sales Hub, Operations Hub, or Reporting) - Exposure to Clay, n8n, Zapier, or similar automation tools - Some SQL for pulling your own answers out of the data - Experience in a fast-scaling startup or a product-led sales motion WHAT WE OFFER - Exciting and challenging work with real impact and ownership as we build our US team in New York - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Regular team events and off-sites - A collaborative, in-office work environment in the heart of New York EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The salary range for this position is $95,000 to $130,000. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We're looking for a Revenue Operations Specialist to keep Peec's revenue engine clean, accurate, and running on time. Our sales team is scaling fast across Berlin and New York on a motion that combines product-led signups with outbound, and every forecast, pipeline review, and routing rule depends on the data in HubSpot being right. You'll own that day-to-day layer hands-on: maintaining HubSpot, building the reports and dashboards sales leadership runs on, and taking manual admin off the GTM team's plate. You'll report to our CRO and work daily with AEs, SDRs, and sales leadership. This is a role for someone early in their RevOps career who wants to learn fast inside a company that's growing faster. This is an on-site role in our Berlin office. WHAT YOU'LL DO - Keep HubSpot clean and trustworthy: properties, lifecycle stages, deal stages, duplicates, and the hygiene standards everything downstream depends on - Build and maintain the reports and dashboards behind weekly pipeline reviews, conversion tracking, and forecast calls - Manage lead routing and assignment rules so inbound, product signups, and outbound land with the right rep fast - Build HubSpot workflows and automations that take manual work off AEs and SDRs - Support territory, quota, and commission tracking with clean data and accurate inputs for Finance - Onboard new GTM hires onto HubSpot and the tools around it, and keep process documentation current - Handle day-to-day CRM requests from the sales team and spot the patterns worth fixing properly WHAT WE'RE LOOKING FOR - 1 to 3 years in Revenue Operations, Sales Operations, or CRM administration at a B2B SaaS company - Strong hands-on HubSpot skills: you've built workflows, reports, and properties, not just logged activity in it - Detail-oriented with data: you notice when a number looks wrong and dig until you know why - A clear communicator who can push back on a messy process with reps and sales leaders - Curious about AI tooling and keen to automate repetitive work BONUS POINTS - HubSpot certifications (Sales Hub, Operations Hub, or Reporting) - Exposure to Clay, n8n, Zapier, or similar automation tools - Some SQL for pulling your own answers out of the data - Experience in a fast-scaling startup or a product-led sales motion WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Regular team events and off-sites - Paid Meal & Uber home when working late - The most beautiful office space and work environment in Berlin