Вакансии

Location: Germany (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. 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 Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Germany, the Base compensation range for this role is EUR 100,000 - EUR 125,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. 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 Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the Republic of Ireland, the Base compensation range for this role is EUR 107,000 - EUR 134,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. 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 Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. 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 Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 94,025 - EUR 112,830 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Требования: — 4+ года опыта работы дата-сайентистом — Практический опыт с предсказанием LTV или ROAS — Опыт в adtech или мобильном performance-маркетинге — Уверенные навыки Python и SQL — Опыт работы с облачными хранилищами данных в продакшене — Опыт использования моделей, применяемых для реальных решений — Владение английским языком на уровне B2+ (письменно и устно)

Location: Lisbon Workplace: Hybrid ROLE HIGHLIGHTS: - Senior People Generalist - Location: Portugal, Lisbon - Department: Local subsidiary - Reports to: CEO, ICEYE Portugal & indirect line to Global Head of People Operations - Employment type: Permanent, full-time - Workplace model: hybrid (office-first) Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS:   You are the face of People Operations for ICEYE in Portugal and the first line of defence for all country-specific people matters. ICEYE's Global HR Operations team (the second line) designs the global frameworks, tools and data standards; you own their local tailoring and practical execution — while ICEYE Portugal builds two very different organisations at once: a Lisbon Center of Excellence hiring software, AI and space engineers, and a satellite production facility ramping manufacturing, integration and test teams through 2027. Your mission: ICEYErs in Portugal are engaged and supported so they can deliver better business results.   WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.   ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.   ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.   Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES Employee experience & local HR operations - Serve as the primary point of contact for local employees on benefits, policies and employee lifecycle events, providing timely and accurate responses in line with global standards. - Handle individual cases for relocation and onboarding, including preparation of local employment contracts and country-specific documentation. - Manage local third-party HR providers (payroll vendor, benefit brokers) and the local practicalities of off-boarding, meeting all legal requirements and exit procedures. - Act as the first point of contact for standard employee relations cases, handling practicalities locally and consulting Global HR Operations on complex issues. Payroll, data & compliance - Audit payroll data in the HRIS and ensure accurate local processing in collaboration with the in-house team and the local payroll vendor. - Maintain accurate employee records in the HRIS and related systems: data integrity, confidentiality and compliance with local and global data privacy regulations. - Stay on top of Portuguese employment law — including the specifics of an industrial site (shifts, safety-adjacent policies, collective frameworks where applicable) — and keep all HR activity compliant, with clear documentation of local processes and policies. - Coordinate the personnel security clearance process with the local security officer for roles that require it. Global alignment & people programmes - Act as the go-to person for the CEO on HR matters, escalating complex issues to the Global HR team when necessary. - Tailor and execute global frameworks locally — levels, salary bands, performance management, wellbeing, L&D — so they work for both the Center of Excellence and the factory population. - Identify opportunities to automate local HR tasks with Global HR Operations, adapting global ways of working to local legal standards while preserving ICEYE's culture. - Assist managers and leads as the organisation adds its first layers of management. Talent Attraction - Act as the bridge between the global Talent Attraction team and local hiring needs in Portugal: oversee local TA processes, keep hiring moving at the right speed and step in with hands-on support when needed. - Support local employer brand building and the channels that feed it, including university partnerships and the local tech and industrial talent networks.   WHAT WE’RE LOOKING FOR Must haves: - 8+ years of progressive HR experience covering both talent acquisition and HR generalist/business partner work. - Strong working knowledge of Portuguese labour law, local benefits and market HR practice, with a track record of creating compliant HR policy documentation. - A hands-on approach with high attention to detail in contract management, local onboarding and the management of local third-party providers. - Track record hiring technical/engineering profiles and industrial or manufacturing profiles; you personally source and close candidates. - Strong analytical skills and high emotional intelligence to handle sensitive individual employee relations cases, with the wisdom to escalate complex issues. - Comfort with HRIS (e.g., HiBob) and ticketing systems, using data to audit payroll and maintain source-of-truth records. - Exceptional communication in Portuguese and English, able to bridge global ICEYE standards with local needs and influence both local leadership and the global team. - A proactive, service-oriented mindset that stays effective in a fast-scaling environment, adapting global policies to local contexts without losing speed.   Nice to haves: - Experience taking a site from roughly 20 to 100+ people. - HR experience in manufacturing, aerospace, defence or another clearance-relevant industry. - Experience introducing or running HRIS and ATS tooling in a growing company. - AI-native sourcing, screening and HR-automation practices. - Experience in a subsidiary of an international group, balancing local ownership with global frameworks.   APPLICATION PROCESS - TA Screening - HR interview - CEO interview (on-site) WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.   OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Вакансия Senior Методолога по системам мотивации в компании Точка. Работа удалённо. Зарплата от 170 000 рублей в месяц.

Задачи: — проектирование и реализация жизненного цикла игровых раундов — разработка машины состояний — обработка команд игроков — восстановление после сбоев — обработка реалтайм событий — интеграция с партнерскими API Требования: — сильный коммерческий опыт с Node.js и TypeScript — уверенное знание PostgreSQL: транзакции, блокировки, уровни изоляции, optimistic concurrency и индексы — опыт проектирования сложной stateful-бизнес-логики — понимание race conditions, идемпотентности и конкурентной обработки команд — опыт с WebSocket или другими realtime-системами — опыт с RabbitMQ, Kafka, NATS или другим message broker — понимание transactional outbox, at-least-once delivery, retries и dead-letter queues — опыт восстановления незавершённых процессов после рестарта сервиса — умение проектировать границы модулей и избегать циклических зависимостей Опыт с: — Gaming, gambling, betting, fintech, trading — LiveKit или другими WebRTC/SFU-системами

Location: Москва ИТ B2C — самая крупная экосистема в Сбере. Нас более 8000 человек в 18 городах России. Мы занимаемся разработкой и развитием розничных решений, помогая сделать сервисы Банка доступнее, безопаснее и удобнее. Мы - Команда SberAds - создаем предиктивные модели и высоконагруженные сервисы по их применению для показа рекламы в интернете. Все модели используются в real-time аукционах на показ рекламы: * начиная с того, чтобы идентифицировать пользователя * потом оценив, стоит ли участвовать в запросе на показ рекламы * затем определяя интересы пользователя * далее выбирая релевантные объявления для показа * и, наконец, определяя с какой рекламой и с какой ставкой мы идем участвовать в аукционе. Команда напрямую влияет на качество показываемой рекламы, удовлетворенность рекламодателей и эффективность SberAds. Наш стек: Python, Go, S3, Spark, Hive, Airflow, MLFlow, Kafka, ClickHouse. Обязанности * строить/улучшать модели для разных частей всего пайплайна * заниматься полным циклом DS/ML задач * участвовать в создании и развитии платформы рекламы * улучшать процесс построения моделей (от выдвижения гипотез до мониторинга работы модели). Примеры задач: * построить эмбеддинги на основе описания рекламных объявлений. Добавить эти данные в модели прогнозирования конверсии * обучить модель для прогнозирования распределения ставок в аукционах. Совместить модель с текущим алгоритмом определения ставки * провести эксперименты с новыми офлайн/онлайн признаками в моделях. Доставить признаки до сервиса на Go (тут если что помогут коллеги) * внедрить модель, которая фильтрует подозрительный входящий трафик. Требования * знание классического ML и Deep Learning подходов * опыт промышленного использования методов RecSys * опыт разработки моделей от проблемы до сопровождения в проде * уверенный опыт разработки на Python и Pyspark-е, опыт написания продакшн-кода * знание принципов распределенной обработки данных * умение принимать решения на основании данных и аргументировать свою позицию * умение находить решения для проблем, декомпозировать, объяснять и контролировать выполнение. Условия * офис метро Маяковская (Оружейный переулок) * гибридный формат работы * конкурентная компенсация (оклад и премии по результатам деятельности) * ДМС c первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний * материальная помощь и социальная поддержка, корпоративная пенсионная программа * дисконт-программы от компаний партнеров * бесплатный фитнес на территории работодателя * подписка Прайм с возможностью совместного использования на трёх близких * внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As OKX scale internationally and navigate an increasingly complex international tax landscape, we are looking for a Global Tax Reporting and Compliance Manager to join our lean, high-impact tax team, partnering closely with Finance, Legal and other stakeholders across the different regions. What You’ll Be Doing Manage tax compliance matters for the Group, working with broader finance team and external advisors to ensure timely and accurate filings across all jurisdictions; Monitor tax risks across the Group, maintain documentation of key tax positions, and assist in the assessment of uncertain tax positions for reporting purposes; Prepare quarterly tax provisions and monitor effective tax rate, cash tax positions, identifying drivers for material variances and potential tax risks. Lead the implementation and ongoing compliance of Pillar 2 across more than 15 jurisdictions, including deferred tax assessments and filing obligations; Monitor changes and updates in global tax legislation to identify potential tax impacts and provide corresponding tax solutions to business teams in advance, ensuring ongoing tax compliance; Partner with business teams to advise on tax implications and support informed decision making Support on controversy matters, working with local finance teams and external advisors to manage the tax audit, submissions, and resolution processes Contribute to process improvement initiatives, including enhancement of documentation standards, reporting workflows, and tax-related automation efforts Build strong relationships with non-tax stakeholders, including Business, Finance, Legal and Product teams to proactively share tax insights and information Any other tasks and projects assigned What We Look For In You 10+ years of international tax experience, ideally with a mix of Big 4 / advisory and in-house roles Excellent tax accounting and tax compliance technical skills, analytical thinker, detail oriented Strong understanding of Pillar 2 concepts and Country-by-Country reporting required Self-starter, comfortable operating with ambiguity in a fast-paced, start-up-like environment; resourceful and adaptable Strong analytical skills with keen attention to both detail and the bigger picture Familiarity of US/ EU tax concepts and international tax experience supporting US listed MNC highly preferred. Familiarity with AI and its applications in tax processes is a plus (e.g., leveraging AI for compliance, data analysis, or process automation) Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Москва Наша команда разрабатывает сервис в HR-платформе Пульс. Сервис представляет собой набор гибких решений, которые позволят организациям-клиентам Банка автоматизировать основные направления HR-цикла. Например, сервис позволит настроить и автоматизировать в организации-клиенте процессы приема и перевода сотрудников. Также важным требованием к сервису будет возможность выдерживать высокую нагрузку. Основные пользователи сервиса – крупные компании-клиенты Банка и организации, входящие в группу компаний Сбербанка. Обязанности * участие реализация новой функциональности от сбора требований и формирования требований до внедрения в качестве ведущего системного аналитика * ведение и приоретизация бэклога команды * проектирование API, интеграции с источниками данных и смежными сервисами и выставление требования на доработку смежных систем/сервисов * разработка документации и обеспечение актуальности документации команды * кураторство/менторство системных аналитиков команды. Требования * опыт работы системным аналитиком в области IT-разработки от 6 лет * опыт описания пользовательских историй, сценариев взаимодействия, критериев приемки, требований к прототипам и дизайну (UI/UX) * знание модели жизненного цикла ПО и основных методологий управления разработкой * знание UML/BPMN нотации, инструментов моделирования и визуализации (visio, draw.io, plantUML) * понимание микросервисной архитектуры и механизмов взаимодействия бэкенда и фронтенда, принципов интеграционного взаимодействия систем (REST/SOAP) и асинхронного взаимодействия с использованием брокеров сообщений (kafka, rabbitmq) * опыт проектирования баз данных и написания комплексных запросов. Будет плюсом: * понимание микросервисной архитектуры и механизмов взаимодействия бэкенда и фронтенда, принципов интеграционного взаимодействия систем (REST/SOAP) и асинхронного взаимодействия с использованием брокеров сообщений (kafka, rabbitmq) * опыт проектирования API, подготовка спецификаций. Опыт работы API First * навыки тестирования (swagger, curl, postman) и анализа логов и показателей мониторинга * опыт работы SAP HCM. Условия * гибридный формат работы * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Асбест Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности ·        консультировать клиентов в отделении банка ·        продавать продукты и услуги Сбера и помогать с их оформлением ·        обучать клиентов пользоваться сервисами и продуктами Сбера ·        проводить платежи и переводы Требования ·        специалист со средним образованием и выше ·        активно используешь гаджеты ·        доброжелателен и готов помогать клиентам ·        готов использовать ИИ в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия ·        ежемесячную, годовую премию и ежегодный пересмотр зарплаты ·        возможность влиять на свой доход ·        быстрый старт карьеры для тех, кто без опыта ·        работу недалеко от дома ·        корпоративный планшет для комфортной работы ·        уникальную систему онлайн обучения Сбера для карьерного развития и роста  ·        расширенный ДМС и льготное страхование для семьи ·      подписка Прайм с возможностью совместного использования на трёх близких .    вознаграждение за рекомендацию друзей в команду Сбера .    гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

Location: United States Workplace: Remote Recognized on the 2025 Forbes Cloud 100 list https://www.forbes.com/companies/clickhouse/?list=cloud100, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 4,000 customers and $250M ARR https://clickhouse.com/blog/clickhouse-tops-250m-arr-and-4000-customers, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.   The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round https://clickhouse.com/blog/clickhouse-raises-400-million-series-d-acquires-langfuse-launches-postgres. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.   We're on a mission to transform how companies use data. Come be a part of our journey! We're looking for a Senior Revenue Accountant to join our revenue accounting team. You will report to the Director of Order to Cash and Revenue Accounting and be responsible for executing the month-end close cycle for revenue recognition, including reconciliations for revenue and deferred revenue, reviewing customer contracts, and preparing financial reporting metrics such as RPO. You'll work cross-functionally with AR & Billing, Legal, Sales Operations, FP&A, and Data teams to build scalable, automated revenue processes. YOU WILL - Own the end-to-end monthly revenue close, preparing journal entries, reconciliations, and flux analyses for revenue, deferred revenue, and contract asset balances. - Prepare the deferred revenue waterfall and financial reporting metrics. - Reconcile consumption data to billing and revenue; use SQL/data queries and AI tools to assist and automate the work. - Review customer contracts and order forms under ASC 606, and prepare accounting checklist for complex or non-standard deals. - Prepare estimate calculations, including the standalone selling price (SSP) analyses. - Support new product introductions (NPI), new pricing models, SKU launches, and system upgrades or implementations. - Support external audits and manage PBC requests related to revenue. - Collaborate cross-functionally with AR & Billing, Legal, Sales Operations, FP&A, and Data teams to improve the quote-to-revenue workflow. YOU BRING - 3+ years of progressive accounting experience with a focus on revenue accounting, ideally at a SaaS or consumption-based technology company. - Strong working knowledge of ASC 606, including contract review, SSP, and revenue disclosures (deferred revenue, RPO). - Experience with NetSuite, Stripe, and Salesforce, and familiarity with the integrations and data flows among these systems; experience with cloud marketplace billing (AWS, GCP, Azure) is a plus. - Comfort working with large data sets; SQL or similar query skills, and an interest in using AI and automation to streamline processes. - Strong analytical and problem-solving skills, with the ability to interpret complex contracts and data sets. - A quick learner with excellent attention to detail, organization, and communication skills; able to collaborate cross-functionally and explain revenue matters clearly. - CPA (or equivalent) and/or Big Four public accounting experience preferred. - Experience supporting audits, internal controls, and SOX readiness 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: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together. As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI. RESPONSIBILITIES - System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines. - Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world. - Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU. - Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data. - Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences. REQUIREMENTS - Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience). - Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction. - Coding Proficiency: Expert-level proficiency in python and/or C++. - Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping.. - Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git). - Required in-office days: 3 days per week Plus If: - Experience in planning and leading technical projects from inception to production. - Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.). - Experience with CUDA or shader programming for performance optimization. Candidate Privacy Policy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice. If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process. Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

Location: Spokane, United States Our client is seeking a Senior Marketing Manager to lead creative, advertising, media buying, brand, communications, sponsorship support, and campaign delivery across a busy live events calendar. Reporting to the Director of Marketing, this hands-on player-coach will lead the team, strengthen workflows, and own campaigns from strategy through post-event reporting. The ideal candidate combines structured planning and strong people leadership with the agility required in a fast-moving live entertainment environment. Key Responsibilities Lead, coach, and develop the Marketing team, including regular one-on-ones, annual evaluations, and support for part-time staff and interns Oversee creative, advertising, and brand management activity supporting facilities, events, campaigns, and organizational priorities Serve as lead point of contact for major event marketing campaigns, including strategy, budget allocation, execution, and post-event reporting Direct media buying across television, OTT, radio, out-of-home, digital, and print, including performance tracking and budget optimization Review and approve advertising campaigns, collateral, signage, content rotations, and other creative materials for quality and alignment Manage the Marketing Department budget, including expenditure tracking, invoice coding, and reallocation of funds as needed Compile, review, and approve marketing settlement packets covering paid and added-value efforts for each show Develop communications strategy with the Director of Marketing, including news releases, press advisories, media opportunities, and local media relationships Oversee designers, advertising agencies, vendors, partners, and other external contacts required for project delivery Manage department workflow through Asana, email, and verbal communication to keep priorities, deadlines, and ownership clear Partner with promoters and internal stakeholders to balance externally driven creative requirements with market-specific marketing judgment Monitor local, regional, and industry trends to identify opportunities for audience growth, promotions, and new market development Support sponsorship concepts and execution in partnership with marketing and entertainment colleagues Work nights, weekends, and holidays as required by the live event schedule Requirements Proven direct people-management experience, including coaching staff and handling performance or workplace conflict conversations Approximately ten years of progressively responsible marketing experience in venue marketing, live entertainment, sports, conventions, theater, or comparable event-focused marketing Excellent written and verbal communication skills, with the ability to connect teams, promoters, media, vendors, leadership, and public-facing stakeholders Strong organizational, prioritization, time-management, problem-solving, and multitasking skills in a high-capacity, low-lead-time environment Willingness and ability to work nights, weekends, and holidays as required by event schedules Proven media-buying experience across television, OTT, radio, outdoor, digital, and print, including performance tracking and budget optimization Broad integrated marketing experience spanning brand management, creative oversight, advertising, PR, media relations, sponsorship support, and vendor or agency management Experience managing a department or campaign budget, including invoice coding, spend tracking, reallocation, settlement, or post-campaign financial reporting Ability to maintain effective relationships at all levels of an organization, with outside business contacts, and with the public Preferred Bachelor's degree in Marketing or a related field Experience with Asana or comparable project management software such as Monday, Trello, Wrike, Basecamp, Smartsheet, or Jira Hands-on experience with website CMS platforms or oversight of digital content updates Familiarity with Adobe Creative Suite or experience directing designers and reviewing creative work Proficiency with Microsoft 365 Prior exposure to venue-operations software such as Prism or Momentus Genuine interest in live entertainment, public events, and positive community impact Benefits Salary $80k - $110k dependent on experience 100% employer-paid medical and dental coverage for employees Employer-paid life insurance and long-term disability coverage Paid holiday Pension through Washington State Retirement 457 deferred compensation plan Flexible spending account Employee assistance program Agency statement Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity Statement: Both Keller Executive Search and our clients are Equal Opportunity Employers. For all positions, whether with Keller Executive Search or our clients, qualified applicants will receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. Commitment to Diversity: Keller Executive Search and its clients are committed to fostering a diverse and inclusive work environment where all individuals are valued and respected. Reasonable Accommodations: Both Keller Executive Search and our clients are committed to providing reasonable accommodations to individuals with disabilities and pregnant individuals. We engage in an interactive process to determine effective, reasonable accommodations. Compensation Information: For client positions, compensation information is available in the job post. If not provided, it will be shared during the interview process in accordance with applicable laws. When required by law, salary ranges will be included in job postings. Actual salary may depend on skills, experience, and comparison to current employees in similar roles. Salary ranges may vary based on role and location. Compliance with Laws: Both Keller Executive Search and our clients comply with federal, state, and local laws governing nondiscrimination in employment. This policy applies to all employment terms and conditions, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Workplace Harassment: Both Keller Executive Search and our clients expressly prohibit any form of workplace harassment based on race, skin color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. E-Verify Participation: Keller Executive Search and/or our clients may participate in E-Verify. Information about E-Verify participation will be provided during the application process where applicable. Privacy and Pay Equity: California Residents: For more information about the categories of personal information we collect for recruiting and employment purposes, please review our Privacy Policy at www.kellerexecutivesearch.com . Colorado, Nevada, New York City, California, and Washington Residents: Compensation information is available in the job post or will be provided during the interview process if not initially available. Both Keller Executive Search and our clients are committed to pay equity and conduct periodic pay equity analyses in accordance with applicable laws. State-Specific Information: Rhode Island: We do not request or require salary history from applicants. Connecticut: We provide wage range information upon request or before discussing compensation. New Jersey: We do not inquire about salary history unless voluntarily disclosed. Veteran Status: Both Keller Executive Search and our clients provide equal employment opportunities to veterans and comply with applicable state laws regarding veteran preference in employment. If you are a veteran, please inform us during the application process. Use of Artificial Intelligence in Recruitment Keller Executive Search and our clients may use artificial intelligence (AI) tools to assist in the recruitment and candidate evaluation process. These tools are used exclusively to support human decision-making by helping to review and assess candidate qualifications and materials. AI is never used to automatically reject, disqualify, or make final hiring decisions about candidates. All AI-assisted evaluations are reviewed by experienced recruitment professionals, and all hiring decisions are made by qualified human recruiters. Our use of AI is designed to enhance fairness, consistency, and efficiency while maintaining our commitment to equal employment opportunity and non-discrimination principles. Genetic Information: In accordance with federal and state laws, both Keller Executive Search and our clients do not discriminate based on genetic information. We do not request or require genetic information from applicants or employees, except as permitted by law. Local Laws: Both Keller Executive Search and our clients comply with all applicable local laws and ordinances regarding employment practices in the areas where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process. Employment laws and requirements may vary depending on the employer and location.

Location: Rotterdam, Netherlands An international B2B SaaS company is looking for a Senior Product Owner to lead one of its most strategic product domains – the integration platform connecting enterprise customer systems. This is a hands-on Product role focused on enterprise integrations, APIs and platform capabilities rather than customer-facing features. You'll own the product area end-to-end, working directly with customers, engineers and technology partners to design scalable integration solutions that automate complex operational workflows. What you'll do - Own the Integration & Platform product area from strategy through delivery. - Define product vision, roadmap and priorities for enterprise integrations. - Translate customer operational workflows into scalable integration logic. - Design product requirements, user stories and acceptance criteria. - Partner closely with engineering teams on API-first solutions. - Drive integrations with ERP, HR, finance, scheduling and other enterprise systems. - Work directly with enterprise customers to understand their processes and validate solutions. - Coordinate with third-party software vendors and technology partners. - Improve customer onboarding, automation and platform adoption. - Define and measure product success through KPIs such as onboarding time, integration adoption, reduction of manual work, data quality and customer outcomes. - Contribute to the evolution of AI-enabled workflows through APIs, webhooks and structured integrations. Requirements - 3+ years of experience as a Product Owner or Product Manager. - Strong experience owning enterprise integrations, API products or platform capabilities in production. - Hands-on understanding of REST APIs, webhooks and API-driven products. - Ability to independently translate customer business processes into technical specifications. - Experience with data mapping, workflow automation and enterprise integration patterns. - Comfortable working directly with enterprise customers and technical stakeholders. - Excellent English communication skills. Nice to have - Experience in B2B SaaS, TravelTech, FinTech or Enterprise Software. - Experience integrating ERP, HR, finance or scheduling systems. - Knowledge of iPaaS platforms such as MuleSoft, Boomi or Informatica. - Exposure to AI-powered workflow automation or intelligent agents. - Technical background in software engineering or integration engineering. Benefits - Ownership of a highly strategic product domain. - Opportunity to shape a platform that directly impacts customer success. - Close collaboration with international enterprise customers. - High level of autonomy and product ownership. - International product and engineering environment. - Hybrid work model (3 days per week in the office). Location - Rotterdam, Netherlands (Hybrid) - Candidates already based in the Netherlands are strongly preferred. - Visa sponsorship is available for exceptional candidates willing to relocate.

Задачи: — Тактическое управление брендами компании — разработка визуальной коммуникации в связке с бизнес-целями. — Управление консистентностью бренда: формирование и удержание единого концептуального подхода на основе разработанных брендбуков. Аудит и контроль соблюдения визуальных стандартов на всех точках контакта с гостями. — Управление комплексными проектами по обновлению/актуализации айдентики от разработки брифа до финального запуска. — Оптимизация процессов: организация быстрого обмена материалами между регионами присутствия бренда, структурирование всех визуальных материалов по системе, снижение расходов за счет внедрения ИИ-инструментов. — Скаутинг и формирование пула дизайнеров (in-house и фриланс) под задачи брендинга, верстки и создания рекламных материалов. — Обучение новых дизайнеров, контроль их работы, оптимизация процесса вплоть до их полной автономии без потери качества. — Формирование правильного позиционирования, миссии и ценностей бренда ТРЦ, лояльности потребителей и узнаваемости бренда через визуальную коммуникацию. — Концептуальный подход к разработке и поддержанию внешнего и внутреннего оформления торгового центра (система навигации, фасадные вывески, витринное пространство, общие зоны, сервисы и прочее). — Участие в командной работе по созданию проектов смежных отделов, требующих дизайнерского подхода и современного исполнения в торговых центрах. — Взаимодействие с региональными командами маркетинга и курирование их работы в части запуска рекламных кампаний и разработки рекламных адаптаций. Условия: — Комфортный график (гибрид 3/2). — Офис в центре Москвы. — Работа в современной компании без лишних формальностей с инновационном виденьем. — ДМС и корпоративная мобильная связь.

Задачи: — Участвовать в разработке технического дизайна и архитектуры. — Проектировать, разрабатывать и внедрять сервисы высоконагруженной платформы. — Проводить интеграции с микросервисами и функциональными узлами системы. — Проводить Research, писать MVP для проверки гипотез. — Разрабатывать и поддерживать Unit/Component/Integration-тесты. — Проводить Code Review своих коллег. Требования: — Опыт коммерческой разработки на Go от 6 лет. — Опыт работы с инфраструктурой микросервисов (Docker/Kubernetes) и механизмами обмена сообщениями (Kafka, RabbitMQ). — Опыт с протоколами взаимодействия микросервисов — REST, gRPC. — Опыт построения комплексных систем с событийной архитектурой. — Понимание принципов event-driven и асинхронной архитектуры. — Опыт с SQL и NoSQL СУБД. — Умение самостоятельно реализовывать фичи end-to-end, разбираться в неясных требованиях, учитывать нефункциональные требования и доводить решение до стабильной работы в продакшене. Условия: — Удаленный формат работы. — Гибкое начало дня с 9 до 11. — Компенсация расходов на обучение и курсы английского после испытательного срока. — Компенсация расходов на спорт после испытательного срока. — Возможность релокации на Кипр. — Конкурентная оплата.