Вакансии

Location: Bangalore (Hybrid) ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion As our Talent Operations Coordinator, you’ll be the operational backbone of our hiring and onboarding efforts, blending hands-on coordination with process ownership. You’ll keep every candidate interaction running smoothly, make sure new hires start strong and stay supported after Day 1, and build the systems and data that help our teams scale. You will: - Master the art of interview scheduling across time zones, departments, and competing priorities with precision and efficiency - Own the interview lifecycle in Ashby end to end: keep stages, scorecards, and interviewer assignments accurate, and run regular data hygiene audits - Manage interviewer coordination and readiness, including scheduling, prep materials, feedback reminders, and calendar and room or video logistics - Be the go-to point of contact for candidates, providing clear communication, timely updates, and a professional experience throughout - Keep Ashby (our ATS) running smoothly and coordinate preboarding - Team up with the other Talent Operation team members to optimize processes, track key metrics, and turn recruiting data into actionable improvements - Get exposure to the broader People team and jump into various initiatives including talent research and onboarding support - Build and maintain templates, playbooks, and SOPs for scheduling, candidate communications, and preboarding to keep the process consistent and scalable - Track and report on core recruiting metrics (time to schedule, time to feedback, candidate NPS, offer acceptance rate) and flag bottlenecks - Partner with recruiters to source for a few select roles, including researching target companies, identifying and engaging prospects, and building talent pipelines - Plan and run post-onboarding sessions and check-ins, coordinating with managers, IT, and People Ops so new hires stay supported through their first weeks - Prepare presentations and training materials for onboarding and compliance programs. AI-NATIVE MINDSET We work smarter by leveraging AI. You should be comfortable with tools like Claude, Gemini, and Ashby's AI features, whether that's streamlining communication, automating repetitive tasks, or spotting efficiency wins. You'll help champion AI adoption across the talent team and find new opportunities to improve how we work. YOU BRING - 4-7 years of experience in talent operations and recruiting coordination - Exceptional organizational skills with an operations-first mindset: you thrive on systems, processes, and keeping multiple moving parts running seamlessly - Outstanding written and verbal communication: you're articulate, clear, and professional in every interaction - An AI-native approach: you're already using tools like Claude and Gemini effectively and you're excited to expand their application - Proficiency with ATS platforms (Ashby experience is a plus) and Google Workspace - Drive and proactivity - everyone here is a builder and executor WHAT WE OFFER - Competitive salary, stock options, and benefits from Day 1 - Comprehensive health insurance coverage (health insurance, accident and disability insurance, term life insurance), including mental health support and wellness programs - Hybrid work model (Bengaluru office three days a week), various time off programs (vacation, sick, other paid leaves, and paid regional holidays) - Monthly transport and work-from-home allowances - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role & impact As an Engineering Manager in our Machine Learning & AI team, you'll lead a high-performing, inclusive team of engineers building and operating AI-powered experiences and capabilities across Xero. The team's work spans traditional machine learning, from predictive models and intelligent automation through to LLM-powered and agentic AI experiences that bring new ways for customers to interact with and get value from Xero. - You'll lead engineering across a broad range of technology surfaces, from customer-facing AI experiences and intelligent product workflows to the backend services, platforms and infrastructure that power them. You'll help turn research, models and emerging AI capabilities into reliable, secure and scalable production products that make a real difference for millions of small businesses. - You'll balance predictable delivery with a relentless focus on engineering quality and system health, building our maturity across MLOps, LLMOps, observability, evaluation and the operational practices needed to run AI systems in production. As AI continues to evolve, you'll also champion AI-native engineering practices and help your team adapt how we design, build, test and operate software. - Working closely with senior individual contributors, including staff and principal engineers, you'll help shape technical direction while focusing on team growth, delivery excellence and sustainable engineering practices. This is a role for someone who wants to build both the systems and the people that enable Xero to deliver AI-powered products at scale. The team & how they connect You'll join Xero's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team partners closely with Applied Science, Data Engineering, Product and other engineering teams to bring AI capabilities from research and experimentation into production. Our scope goes beyond building and serving models. We build the end-to-end engineering capabilities that bring AI to life in Xero's products, spanning traditional ML-powered automation and predictions, conversational AI assistants, LLM-powered workflows and agentic experiences. This means working across the full stack, integrating AI into customer experiences and product workflows while building the front end & backend services, platforms and infrastructure needed to make those experiences safe, reliable and scalable. It's a collaborative, evolving space where you'll help translate advances in ML and generative AI into practical customer outcomes, while building the engineering foundations to support the next generation of AI-native products. The team is currently working on - Production ML and AI engineering: Building and operating the platforms, services and practices that support traditional ML models, generative AI and agentic systems in production. - JAX (Just Ask Xero): Powering Xero's conversational GenAI assistant and evolving the underlying capabilities to support increasingly sophisticated, context-aware and agentic experiences. - Intelligent financial workflows: Developing capabilities such as Automated Bank Reconciliation and smart document capture, using ML and AI to match transactions, extract information from bills and receipts, and automate complex tasks. - XeroForce: Building the platform for AI-powered workflows, enabling agents to plan and execute complex tasks across Xero’s products and supporting reliable, reusable agentic experiences at scale. - End-to-end AI product experiences: Integrating AI into customer-facing experiences and product workflows, alongside the backend services, orchestration and infrastructure that make them work. Where and how you can work We support a flexible working model that empowers you to balance your professional and personal life. You'll have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment. Here are some of the things we're looking for, for this role - You'll bring a strong track record of leading, coaching and developing engineers, building team capability and creating an environment where people can do their best work. - You have strong technical judgement across architecture, system design and engineering trade-offs, and can guide decisions across a broad and evolving technology landscape. - You've translated business goals into executable engineering plans, balancing near-term delivery with long-term technical health and maintainability. - You're experienced in delivering roadmaps predictably in fast-paced, evolving environments, navigating ambiguity and adapting as priorities and technology change. - You understand what it takes to build and operate production-grade software, from customer-facing experiences and backend services through to distributed systems, platforms and infrastructure. - You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team, support an incident or help resolve a complex technical challenge. - Experience with machine learning, generative AI or AI-powered products is a bonus rather than a requirement. You don't need to be an ML specialist, but genuine curiosity about the space and an appetite to learn how these technologies are changing software engineering will help you thrive here. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: India Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a highly motivated, self-starter Account Executive based in India who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetisation opportunities at scale with our breakthrough voice technology. In this role you will: - Build and manage a growing portfolio of new Mid Market accounts in the Customer Experience and Conversational AI Experiences spaces to help ElevenLabs meet its revenue goals. - Identify new business opportunities in that align with ElevenLabs’ product offering and roadmap. - Generate leads, negotiate contracts and close sales in collaboration with the Growth team. - Develop and maintain a deep understanding of the Conversational AI industry - Be responsible for KPI and sales performance tracking, providing weekly updates to the wider ElevenLabs team. WHO YOU ARE We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. WHAT YOU BRING - Builds plan to quota in first sales and upsells out of NAL - Experience in building a new category, company, product in a space with previously no penetration - ~ 7-11 years of experience in value selling a technology product, preferably in Customer Experience and Customer engagement to clients with a global footprint - Generate self-led pipeline in target list of accounts - Network and experience in the IN CX, Support and BPO industry and has sold to CXOs - Close deals and manage customer onboarding/delight - Showed previous ownership for all aspects of the customer lifecycle including onboarding, and support - Evidence of farming accounts to deliver multi-X growth - Worked at a Top tier growth company where there is a keen understanding of sales process and high degree of ownership - Drive initiatives that improve ElevenLabs consideration - Has performed sales development activities such as campaigns, events, partnerships that drive ElevenLabs consideration with customers - Self Starter - Analytical skills and proficiency with spreadsheets - Proficiency in creating compelling presentations and demos - Market Insight: Deep knowledge of the IN CX, Support and BPO industry - Proficiency in English - Plus: Network in the relevant SIs/consults LOCATION: MUMBAI, IN #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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 fully remote position and we're considering candidates in the US EST. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In the United States, the base compensation range for this role is $208,602 - $250,322 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the UK. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In the UK, the base compensation range for this role is GBP 117,949 -  GBP 141,539 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in Sweden. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Sweden, the base compensation range for this role is SEK 996,819 - SEK 1,196,182 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in Spain. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Spain, the base compensation range for this role is EUR 106,680 - EUR 128,016 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in Ireland. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Ireland, the base compensation range for this role is EUR 133,600 - EUR 160,320 . 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: 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 fully remote position and we're considering candidates in Germany. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Germany, the base compensation range for this role is EUR 124,571 - EUR 149,485 . 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 fully remote position and we're considering candidates in Canada EST. About Product Management As a Product Manager at Grafana Labs, you'll develop a vision and strategy for your product domain. You will own the experience for your product as well as its roadmap and competitive positioning, and you will collaborate with company leadership on setting your product's goals. You will be the primary advocate and expert in your area, with a strong ability to communicate needs, functionality, and details effectively both to external customers and internal stakeholders. The teams and people you will be interacting with will be 100% remote and globally distributed, so strong and proactive communication is essential. Product Managers are the bridge that connects R&D to GTM. You are a facilitator who ensures the free flow of information across these teams and are expected to be technically proficient when representing our products to our customers. The role As the Staff Product Manager for Enterprise Deployment Solutions, you'll own the Grafana Labs offerings that run outside our standard multi-tenant SaaS. That includes Grafana Federal Cloud , for organizations that need FedRAMP-authorized observability: US federal agencies; state, local, and education (SLED) customers; and commercial companies that sell FedRAMP offerings of their own. It also includes Grafana Cloud Bring Your Own Cloud (BYOC) , which delivers the full Grafana Cloud experience while the customer pays the infrastructure bill directly to their cloud provider, saving them significantly at scale. Your mission is to make Grafana Labs the obvious choice for organizations that can't use standard SaaS because of compliance, data, or cost-at-scale constraints. Deployment choices change the product: features that are simple in standard SaaS can be hard, expensive, or impossible in a regulated or customer-owned environment. You’ll be responsible for adapting existing Grafana Cloud capabilities to these environments, deciding which features come in, which wait, and which stay out, and occasionally building something specific to BYOC or Federal Cloud. You'll also help shape which deployment models we offer next. Along the way, you’ll use AI tools daily to speed up research, analyze product signals, and develop positioning, applying strong judgment to the results. As the Staff Product Manager for Enterprise Deployment Solutions, you will: Define the vision, strategy, and roadmap for the Grafana Bring Your Own Cloud and Grafana Federal Cloud products, using product data and market research to balance customer value against engineering cost and technical constraints Own positioning, messaging, and differentiation for these products, including how they compare to regular Grafana Cloud, and partner with Product Marketing on launches, competitive analysis, enablement, and demand programs Partner with Engineering and Technical Program Management on buildouts for these environments, balancing customer timelines with engineering capacity Work directly with customers, prospects, and the field on strategic deals and brief partners, resellers, and analysts on our deployment options Partner with Security, Compliance, and Legal to work through product changes affecting our authorization or existing customer commitments We’re excited about you because you have 5+ years of product management experience on a technical B2B product, or a technical background (software engineering, solutions architecture, SRE, or technical program management) plus a demonstrated move into product ownership Hands-on experience with a non-standard SaaS deployment model, such as self-managed, air-gapped, sovereign, BYOC, single-tenant, or FedRAMP/government cloud, and a firsthand understanding of how it changes the product, its operations, and its economics Experience with cloud infrastructure, platform software, or developer tools Clear product and go-to-market judgment: you've shaped what a product should be and how it's positioned and sold, not only when it ships Interest in working with US public sector customers and learning their needs and buying cycles. Deep compliance expertise isn't required. Experience leading across multiple teams without direct authority, with excellent written and verbal communication in a remote, globally distributed organization Bonus Points Experience selling to or building for US federal, state, or local government customers, or other highly regulated industries Familiarity with government or sovereign cloud frameworks, such as FedRAMP, StateRAMP/GovRAMP, BSI C5, or SecNumCloud, or with offerings such as AWS GovCloud, Azure Government, AWS European Sovereign Cloud, or GCP Sovereign Cloud Experience with pricing and packaging across deployment models Experience with observability, monitoring, or other data-intensive infrastructure products Experience working with resellers, systems integrators, or cloud marketplace partners Familiarity with open source software or commercial open source companies In Canada, the base compensation range for this role is CAD $211,450 - CAD $253,740 . 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: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

• Претензионная работа, досудебное урегулирование споров. • Анализ договоров, оценка рисков и спорных ситуаций.

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Prague, Czechia Are you a student eager to gain real-world experience and kick-start your career in a global business environment? Join our Internship Program and work on meaningful projects in the areas of Procurement, Sourcing, Finance, Data, Digital, and Artificial Intelligence. This is a unique opportunity to apply your academic knowledge in practice, collaborate with experienced professionals, and gain valuable insights into how an international organization operates. You will have the chance to contribute to real business initiatives, develop new skills, build your professional network, and work in a dynamic, collaborative, and innovative environment. Whether your passion lies in analytics, technology, finance, or digital transformation, this internship will provide hands-on experience that helps prepare you for your future career. D-ploy is an IT and Engineering Solutions company operating across EMEA and the USA, supporting industry-leading clients through innovative services and solutions. As an intern, you will be part of an international team where learning, growth, and fresh ideas are valued and encouraged. What You Will Do • Support strategic sourcing projects through market analysis, supplier research, and bid evaluation. • Prepare analytical materials and fact-based insights to support supplier negotiations and commercial discussions. • Utilize AI and Generative AI tools to analyze supplier proposals, compare commercial offers, and identify optimization opportunities. • Assist in building spend analytics dashboards, category insights, and procurement performance reporting. • Support the development and testing of AI-powered procurement use cases, prompts, agents, and automation solutions. • Collect, structure, and analyze procurement and supplier data to identify trends, risks, and opportunities. • Prepare executive summaries, sourcing recommendations, and presentation materials for procurement leadership. • Support contract reviews, supplier assessments, and sourcing documentation activities. • Collaborate with procurement professionals, business stakeholders, and digital teams on innovation initiatives. Requirements • Current student or recent graduate in Data Science, Artificial Intelligence, Analytics, Business, Economics, Supply Chain, Procurement, Engineering, or a related field. • Strong interest in combining AI, technology, and business problem-solving. • Analytical mindset with the ability to work with large datasets and derive actionable insights. • Excellent communication and presentation skills. • Curious, proactive, and willing to learn in a fast-paced global environment. • Ability to work independently while collaborating effectively within international teams. SPECIFIC SKILLS Preferred experience or interest in: • Artificial Intelligence and Generative AI (Copilot, ChatGPT, AI Agents, Prompt Engineering) • Data Analytics and Visualization • Financial and Commercial Analysis • Presentation skills and Storytelling Skills PREFERRED QUALIFICATIONS • Academic projects or previous experience involving AI, machine learning, analytics, automation, procurement, sourcing, or business intelligence. • Experience working with structured and unstructured data. Benefits Broad range of activities, tasks, and projects Flexible working conditions Minimum 5 weeks of vacation Paid sick days Meal vouchers Vouchers (B-day voucher, wedding, and new born surprise) Contributions to wellness programs (multisport card) Fishing for Friends program – our referral program Refreshments in the D-ploy office Further development and professional advancement Friendly and international working environment Company-sponsored events Competitive salary and various benefits Is IT in your DNA?

Location: North Macedonia; Serbia; Bulgaria; Albania; Kosovo; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are looking for a Senior Google Ads Specialist with 4–5+ years of hands-on experience managing and scaling high-performing Google Ads campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing significant advertising budgets, optimizing campaigns for maximum ROI, and driving measurable business growth. You'll take ownership of paid search strategies, campaign execution, performance analysis, and ongoing optimization while working closely with marketing teams and key stakeholders. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, YouTube, and Performance Max. Develop and execute paid advertising strategies focused on lead generation, conversions, ROAS, and customer acquisition. Manage substantial monthly advertising budgets while maximizing campaign efficiency and profitability. Conduct in-depth keyword research, competitor analysis, audience targeting, and bid optimization. Monitor and improve key performance metrics, including CPA, CPC, CTR, conversion rates, and ROAS. Implement and troubleshoot conversion tracking using Google Tag Manager, GA4, and Google Ads. Run A/B tests on ad copy, landing pages, bidding strategies, and audience segments. Analyze campaign performance and provide actionable recommendations to improve results. Create detailed performance reports and communicate insights to clients and internal stakeholders. Stay up to date with Google Ads platform updates, automation, and performance marketing best practices. Requirements 4–5+ years of professional experience managing Google Ads campaigns, preferably in an agency or high-growth business environment. Proven track record of scaling successful Google Ads campaigns and delivering measurable ROI. Advanced knowledge of Google Search Ads, Performance Max, Display, Shopping, and remarketing strategies. Strong experience managing and optimizing substantial monthly ad spend. Proficiency in Google Analytics 4 (GA4), Google Tag Manager, and conversion tracking. Strong understanding of bidding strategies, attribution models, and conversion rate optimization (CRO). Excellent analytical skills with the ability to translate campaign data into actionable business insights. Experience with Google Looker Studio, reporting dashboards, and performance analysis. Strong communication skills and confidence presenting campaign results to stakeholders. Ability to independently manage multiple campaigns, prioritize tasks, and meet performance targets. Excellent written and spoken English. Nice to Have Google Ads certifications. Experience managing paid media campaigns for international markets, particularly the US, UK, or Australia. Experience with Meta Ads, Microsoft Ads, or other paid advertising platforms. Experience working with SaaS, eCommerce, lead generation, or B2B companies. Familiarity with landing page optimization and marketing automation tools. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders

Location: Argentina; Colombia; Mexico; Chile; Costa Rica; Brazil About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team. About the Company This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries. Job Summary We are looking for a Senior Google Ads Specialist with 4–5+ years of hands-on experience managing, optimizing, and scaling high-performing Google Ads campaigns. The ideal candidate is a data-driven performance marketer with a proven track record of managing significant advertising budgets, improving return on ad spend (ROAS), and driving measurable business growth. You should be confident taking full ownership of Google Ads accounts, developing paid search strategies, analyzing campaign performance, and delivering consistent results. Key Responsibilities Plan, launch, manage, and optimize Google Ads campaigns across Search, Display, Shopping, YouTube, and Performance Max. Develop and execute paid advertising strategies focused on lead generation, conversions, and revenue growth. Manage and optimize advertising budgets to maximize ROAS and reduce cost per acquisition (CPA). Conduct keyword research, competitor analysis, audience targeting, and campaign restructuring. Implement and troubleshoot conversion tracking using Google Tag Manager (GTM), Google Analytics 4 (GA4), and Google Ads. Continuously run A/B tests on ad copy, landing pages, bidding strategies, and targeting. Analyze campaign performance and identify opportunities to improve conversion rates and profitability. Create clear performance reports and communicate actionable insights to stakeholders. Stay updated on Google Ads platform changes, automation, and industry best practices. Take full ownership of campaign performance and proactively recommend improvements. Requirements 4–5+ years of proven, hands-on experience managing Google Ads campaigns. Advanced knowledge of Google Ads, including Search, Shopping, Display, and Performance Max. Demonstrated success managing and scaling advertising budgets while maintaining strong performance. Strong understanding of ROAS, CPA, CPC, CTR, conversion rates, and other key performance metrics. Proficiency in Google Analytics 4, Google Tag Manager, and conversion tracking. Experience with campaign optimization, bidding strategies, audience segmentation, and remarketing. Strong analytical skills with the ability to translate data into actionable strategies. Experience working with international clients, preferably in the UK, US, or Australian markets. Excellent written and verbal English communication skills. Ability to work independently, manage multiple campaigns, and meet performance targets. Nice to Have Google Ads certifications. Experience managing paid media for digital marketing agencies. Experience with eCommerce, SaaS, B2B lead generation, or service-based businesses. Familiarity with Looker Studio, Google Merchant Center, and landing page optimization. Experience managing high-budget or multi-account Google Ads portfolios. Benefits 🌎 Fully remote role with flexible work environment 🚀 Work with high-growth companies and performance-driven teams 📈 Opportunity to scale campaigns with significant ad budgets 🎯 Performance-based bonuses tied to campaign success 🤝 Direct collaboration with international clients and marketing leaders