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Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: San Francisco, CA; Austin, TX; New York, NY; Washington D.C. About the Role The Interconnection Manager for the Americas is the network strategy leader for one of Cloudflare's most important and most contrasted regions — a mature, high-volume United States market alongside a fast-growing, infrastructure-constrained South America. You will own the strategy that scales our connectivity with the largest ISPs and eyeball networks in the U.S. while solving the harder, less-charted problem of building resilient, cost-effective network reach across South America. This role operates on an AI-first model. You won't just consume reports — you'll use AI agents and tooling to analyze traffic, model capacity and cost scenarios, surface peering and transport opportunities, and automate the operational work that historically slowed interconnection teams down. AI is the force-multiplier that lets a single strategist see the whole region clearly and act on it quickly, shifting your time from reactive task processing to proactive architecture. The decisions you make will directly shape Cloudflare's standing as the network leader across the Americas. You will work in close partnership with the Regional Network Acquisition Manager, who executes high-volume sourcing, contract lifecycle, and vendor management under your strategic direction — freeing you to lead the complex, high-stakes work. What You'll Do / Responsibilities Regional Network Strategy — Americas Own and execute the interconnection and backbone strategy for the Americas, balancing the distinct realities of the U.S. and South American markets. United States: Drive interconnection scale and depth with the largest U.S. ISPs and eyeball networks (e.g., Comcast, Charter, AT&T, Verizon, T-Mobile), expanding private interconnect, peering, and capacity to keep pace with traffic growth. South America: Solve the region's unique build challenges — a sparse and uneven IXP fabric, terrestrial and subsea transport economics, regulatory and market fragmentation, and heavy reliance on local partners — to establish durable, performant reach (with particular focus on Brazil, the region's largest market). AI-First Operating Model Use AI-driven analytics to interpret regional traffic patterns, peering opportunities, and performance/cost trade-offs, and to inform interconnection and capacity decisions. Leverage and help shape automated, agentic workflows for LOAs, ticketing, contract tracking, and data hygiene — partnering with the support layer to push routine execution to automation. Build models and scenario analyses (capacity, cost, resiliency) that let you make faster, better-evidenced strategic calls and clearly defend them to leadership. Interconnection & Backbone Management Formulate and execute plans to optimize traffic flow across the region, balancing backbone, partner, transit, IX, and peer connections. Develop and execute strategies for the expansion, optimization, and maintenance of Cloudflare's backbone across the Americas, planning capacity for scalability and high performance. Lead negotiations for high-value, complex interconnection agreements and Tier-1 partnerships. Advise budget planning cycles to ensure proper resource allocation for regional growth and scaling. Partnership with the Regional Network Acquisition Manager Set the strategy and priorities the Network Acquisition Manager executes against; review and approve sourcing recommendations for new and existing transport services. Lead complex, high-value negotiations directly, while the Acquisition Manager runs high-volume requirements, contract lifecycle support, inventory, and first-level billing response. Ensure a clean handoff model so strategic intent translates into reliable, well-documented execution. Relationship Management Cultivate and maintain strong relationships with ISPs, IXPs, carriers, and partners across the Americas. Act as the regional expert for interconnection relationships, focused on availability, capacity, effectiveness, and cost efficiency. Cross-Functional Collaboration Collaborate with Data Center Strategy, Network Engineering, Capacity Planning, and Infrastructure Operations to align on network strategy and implementation. Engage internal stakeholders to plan requirements and deliver cross-functional projects, communicating clearly throughout. Industry Engagement Represent Cloudflare in regional and global industry forums and conferences, contributing to best practices and standards. Desirable Skills, Knowledge, and Experience: 5+ years of experience in network infrastructure, ideally within a Telco, ISP, CDN, or cloud environment. Strong understanding of networking protocols and technologies, including BGP, DWDM, and IP networking. Proven experience negotiating and managing interconnection agreements. Working knowledge of the Americas connectivity landscape — the U.S. wholesale/peering market and the transport, IXP, and partner dynamics of South America (including subsea and terrestrial considerations). Fluency with AI tools in daily work, and a genuine appetite to use AI/agentic tooling to scale decision-making and eliminate manual toil. Excellent communication and interpersonal skills. Strong analytical and problem-solving abilities. Experience with capacity planning, cost modeling, and operations research. Bonus Points Professional proficiency in Spanish and/or Portuguese , to support relationship-building and network expansion across South America. Hands-on experience building or scaling network presence in emerging or infrastructure-constrained markets. Experience designing AI-assisted analytics or automation for network/commercial operations. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $150,000 - $207,000 For New York based hires: Estimated annual salary of $143,000 - $197,000 For Washington D.C. based hires: Estimated annual salary of $143,000 - $197,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Sydney, Australia 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 As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair. This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical  hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability. A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling. Key responsibilities Build automation to support datacenter fleets at scale. Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations). Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle. Work closely with our Networking team to ensure end-to-end connectivity across all sites. Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet. Minimum qualifications Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale. End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices. Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java). Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP). Ability to communicate clearly and build consensus with a wide range of stakeholders. Comfort navigating ambiguity and making progress on complex, cross-functional problems. Preferred qualifications 8+ years of experience in datacenter infrastructure management, or a closely related discipline. Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands. Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS Experience building or contributing to datacenter automation or fleet management platforms. Experience building and deploying server operating system distributions across large server fleets. Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider. Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area. 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: Yerevan; Poland; Spain; Ukraine; Serbia Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are hiring an exceptional Senior Solution Owner to sit at the intersection of frontier AI (Claude and agentic systems) and enterprise transformation. You will own the story and the delivery for client engagements built on our Programs (Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation) and five Blueprints— packaging reusable IP into repeatable outcomes, and personally getting hands-on in the field when it counts. You are equally comfortable framing an ROI case for a CFO, aligning a healthcare or financial-services stakeholder on a compliant rollout, and pairing with an engineer to wire an MCP integration or ship a Claude Code harness. Domain Focus Deep, current expertise in one or both of our priority verticals is a leading selection criterion: Financial Services (FSI) — e.g., office of the CFO, lending/underwriting, risk, compliance-sensitive workflows. Healthcare & Life Sciences (HCLS) — e.g., revenue cycle management, clinical/operational workflows, regulated data handling. You understand the vocabulary, the buying process, the compliance constraints, and where AI creates defensible value in these industries. Forward-Deployed Delivery (FDE / FDX) Our delivery model pairs a Forward Deployed Engineer (FDE) with a Forward Deployed eXpert (FDX) that lands a Cowork and Blueprint Activation or program inside a client. We normally launch projects in this two-in-the-box model, then extend as the engagement grows. You must be able to credibly play at least one side of that box and partner tightly on the other: FDX — own the domain framing, product definition, rapid-prototyping loop, stakeholder alignment, and OCM; validate use cases through user interviews and turn them into working demos. FDE — configure MCP integrations, build and adapt Claude Code harnesses and skills, wire data pipelines and connectors, and debug in the client environment. Comfort embedding directly with clients and Anthropic field teams, and setting the tone in the first sessions, is essential. Requirements: Deep domain expertise in Financial Services & Insurance and/or HCLS, ideally in a client-facing/consulting context. Proven ability to lead or materially contribute to one of Provectus' Programs or Blueprints (0-to-1 and scale) and land it as real client delivery. Track record operating forward-deployed / embedded with clients (FDE or FDX), including hands-on prototyping. 5-7+ years in solution/product ownership or delivery leadership; 3-5+ years with AI/ML, GenAI, agentic systems, or data platforms. Strong Agile/Scrum experience; familiarity with outcome-based, milestone-priced engagements. Fluent English. A hands-on software engineering background is not strictly required. Working knowledge of Claude, Claude Code, and Cowork, building skills, workflows, and productivity tooling for yourself or your team; MCP integrations, connectors, and custom harnesses are a must. GenAI/agentic patterns: how prompt engineering, RAG, embeddings, vector DBs, and agent frameworks work – well enough to assess quality, challenge assumptions, and translate to client stakeholders. Data fundamentals: what ETL/ELT, data modeling, and governance mean in an enterprise context – well enough to scope integration work and identify data readiness risks. Cloud & AI infrastructure: AWS as the primary platform; what MLOps and AI observability involve – well enough to ask the right questions and understand tradeoffs. Design thinking, data-driven decisions, strong communication and executive storytelling. Bias to action; thrives in ambiguity with structured problem-solving. Enough engineering empathy to earn credibility with senior engineers and architects on day one. Nice to Have: Second priority vertical beyond your primary FSI/HCLS focus. Prior experience in a Premier AWS or Anthropic partner environment. Claude Certified Architect – Foundations (CCA-F), Seller, Developer certification or willingness to complete one early. Certifications: CSPO, SAFe PO/PM, AWS/Azure/GCP. Software development background. What You'll Do: Define value proposition, positioning, and reusable artifacts for your assigned Program (Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation) or individual Blueprint; align sales and delivery. Build business cases (market fit, ROI, competitive positioning) and translate them into scoped SOWs. Run market/use-case validation, workshops, and user research; turn findings into demos and first deployments. Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data; drive rapid prototyping from use case to context to result. Build with Provectus’ delivery stack: Claude Code, AWOS, MCP servers, Skills and plugins. Drive Cowork Activation as a separate, parallel client-facing workstream. Define solution vision and roadmap for GenAI/agentic engagements, RAG, and agentic workflows. Break complex work into incremental releases; balance delivery against technical debt and architecture. Sprint-Enable-Realize engagement model. Lead Agile execution - backlog, sprint planning, release process. Contribute to Provectus' measurement framework that produces the board-level AI Maturity Index, ROI read, and cost signal from the Agentic SDLC program. Define success metrics and analytics; drive continuous improvement and root-cause analysis. Support change management, enablement, and reusable playbooks so wins repeat across accounts. Why Join Us: Deliver frontier work on Provectus' delivery stack — Cowork activation, Agentic SDLC program, and Blueprint Activations across FSI and HCLS — with real client impact. Shape how enterprises in financial services and healthcare adopt AI, from strategy to first deployment. Work forward-deployed in small, senior teams of Forward Deployed Executive + Principal Architect + Forward Deployed Engineers. Grow inside a team actively building the modern AI-delivery practice, tooling, and frameworks. Remote-friendly culture. Private medical insurance or sports coverage Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Austin (Hybrid) About the team. The Data Intelligence & Analytics  team at Cloudflare is responsible for building a centralized cloud data lake and an analytics platform that enables our internal Business Partners and Product teams with actionable insights and also provides a 360 view of our business. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics via self-service data applications to fuel existing and new business critical initiatives. About the role We are looking for a Systems Engineer to join our Austin team to scale our development efforts on Platform Tooling initiatives. You will work on building data application tools and frameworks which empowers our Internal Teams. You  will work closely with the Data Engineers on the team to add new features and maintain our data pipelines written in Go. You can expect to interact with various languages and technologies including, but not limited to Go, React, and Clickhouse. What you'll do Design and implement key features of our internal applications Work closely with a cross functional team to design features and solutions that solve critical business problems Contribute in improving an evolving platform architecture for scalability, observability and reliability Continuously involved in knowledge sharing and mentorship Examples of desirable skills, knowledge and experience B.S. or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields Experience working with Go, Python, Java, or equivalent programming languages Knowledge of SQL and common relational database systems such as PostgreSQL and MySQL Experience with CI/CD, Gitlab CI Excellent communication & problem solving skills Ability to collaborate with cross functional teams and work through ambiguous business requirements Bonus Points Familiarity with container based deployments such as Docker & Kubernetes Familiarity with Google Cloud Platform or something similar Familiarity with Javascript, Typescript, and React Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: EMEA What you’ll be doing Work with a team of DevOps and DBA professionals Improve existing infrastructure and processes across the countries we’re deployed in, as well as streamlining processes to deploy to new countries in the future Continuously improve Kubernetes platform stability and efficiency, with a focus on optimising resource utilisation, reducing costs, and streamlining environment provisioning through GitOps-first practices Monitor and maintain cloud infrastructure through autoscaling, alerting pipelines, and Grafana dashboards covering metrics, logs, traces, and real user monitoring (RUM) Own weekday on-call operations, triaging and responding to production incidents, performing root cause analysis, and driving post-incident reviews Design and manage alert pipelines to ensure actionable signal quality, with attention to preventing alert fatigue, waterfall alerting, and notification flooding Define and maintain SLIs and SLOs for critical services, and use them to drive reliability improvements and on-call prioritisation Take ownership and responsibility for our cloud operation activities Liaise with external security agencies for annual audits as well as perform our own internal security sweeps Aid in reconfiguring existing architecture to allow for rapid deployments to new countries Mentoring less experienced team members What you’ll bring 3+ years DevOps / SRE / platform engineering experience Must be based in Europe Experience independently leading the planning and deployment of a project Experienced with cloud platforms, especially AWS, including solid knowledge of how to utilise cloud resources to fulfil the demand from other teams and production Strong understanding of Kubernetes and container orchestration, with experience in EKS and GitOps tooling such as ArgoCD and Helm being highly valued Experience with Infrastructure-as-Code, particularly Terraform Proficiency in scripting and automation with Bash, Python, or Golang; experience with Rust is a plus Hands-on experience with observability stacks covering metrics, logs, distributed traces, and profiling, for example Prometheus, Loki, Tempo, Pyroscope, and OpenTelemetry Experience with real user monitoring (RUM), with familiarity in Grafana Faro or OpenTelemetry SDK instrumentation being a plus Proven on-call and incident response experience, comfortable triaging production issues under pressure, leading post-mortems, and driving follow-up actions Ability to design and maintain alert frameworks that minimise noise, prevent alert fatigue, and avoid waterfall alerting patterns Experience defining SLIs and SLOs and using them to inform reliability work Familiarity with service mesh concepts is a plus, as we are actively evaluating Cilium-based service mesh in non-production environments Solid networking knowledge, especially the TCP / IP stack and HTTP protocol Experience handling high HTTP request volumes and designing systems for high availability and high traffic environments A strong understanding of cache, including CDN, HTTP cache, Redis / Memcached Excellent troubleshooting skills, including Linux OS issue diagnosis and OS parameter optimisation, JVM optimisation would be highly advantageous Our stack Languages: Java / Spring Boot, Node.js, Python, JavaScript Database: Aurora MySQL & PostgreSQL, MongoDB, MySQL Community Cache: ElastiCache, Redis, Valkey Messaging: Apache RocketMQ, AutoMQ, Kafka Networking & Proxy: Nginx, Kong, Cilium, eBPF Orchestration & GitOps: Docker, Kubernetes (EKS), ArgoCD, Helm Computing & Storage: AWS EC2, VPC, AWS Lambda, EBS, S3 CI/CD: Jenkins, GitHub Actions Metrics: Prometheus, Mimir, Grafana, Alertmanager Logs: Loki, Vector Traces: Tempo, OpenTelemetry, Alloy Profiling: Pyroscope RUM: Grafana Faro, OpenTelemetry SDK Infrastructure as Code: Terraform CDN & Edge: Cloudflare, AWS CloudFront AWS CloudWatch What’s in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview process Remote video screening with our Talent Acquisition Team Online assessment via Hackerrank Remote video interview with 3 x Team Members (45 mins each, not separate days) If you’re interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.

Location: Canada Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Germany Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Spain Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader data ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms ingesting millions of events per second, observability systems monitoring global infrastructure, and increasingly, the AI-powered data applications redefining how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Engineer, Data Scientist, or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across e The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specialising in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Israel Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Relocate to Singapore. About Airwallex: Airwallex is a unified payments and financial platform for global businesses, empowering over 200,000 businesses worldwide with integrated solutions for business accounts, payments, spend management, treasury, and embedded finance at a global scale. Founded in Melbourne, with over 2,200 employees across 26 offices globally, valued at US$8 billion and backed by leading investors. Attributes We Value: We seek successful builders with founder-like energy, strong role-related expertise, sharp thinking, motivation by mission and operating principles, good judgment, curiosity, and ability to make decisions balancing speed and rigor. Candidates are humble, collaborative, able to turn ideas into real products, and use AI to work smarter. About the team: Join the Global Treasury Payment Network (GTPN) product team, responsible for Airwallex's core money-movement platform enabling global fund movement through accounts, wallets, FX, and direct debit rails. The team focuses on reliable, scalable products, rapid iteration, and career growth. What you’ll do: - Own full lifecycle of global money movement infrastructure: strategy, roadmap, partner assessment, solution design, delivery. - Leverage AI/ML insights to optimize payment routing, reduce transaction costs, detect fraud, and improve operational efficiency. - Communicate product strategy and prioritization based on user research, market insights, and competitive analysis. - Manage and mentor a high-performing team of Product Managers. - Collaborate with financial partners, engineering, operations, and commercial teams to build scalable, reliable, compliant infrastructure supporting high-volume transactions. - Serve as subject matter expert for money movement within Airwallex. - Rapidly iterate on product launches, feature enhancements, and customer feedback to improve speed, cost-efficiency, and customer experience. Who you are: Minimum Requirements: - Experience in Product Management or Engineering, especially in platform/infrastructure or technology domain, product design, planning, development. - 3+ years formal people management experience leading cross-functional teams. - Proven ability to balance user needs and commercial strategy to drive product growth. - Track record of taking products from ideation to delivery at global scale. - Strong analytical skills, data-driven decision-making. - Ability to manage tradeoffs between long-term vision and short-term growth. - Success in fast-paced, cross-functional teams delivering rapid execution. - Flexibility to work across global time zones. - Exceptional English communication skills. - Bachelor’s degree in Computer Science, Engineering, or related field. Preferred Qualifications: - Experience in hyper-growth startups, financial infrastructure, or technology domains. - Direct experience building payments or money movement platforms, or working with card schemes at global scale. - Robust understanding of money movement systems, ledgers, payments orchestration. - Familiarity with risk management, compliance, and regulatory requirements in fintech or payments.

Локация/гражданство: РФ Формат: Удаленно, Full-time (МСК) Срок привлечения: с 08.07.2026 до 15.09.2026 (возможно продление до 31.12.2026) Условия оплаты: • Ставка закупки: 1700 , с НДС • Отчётный период: месяц, отсрочка по оплате 35 РД Требования: - Умение декомпозировать бизнес-требования в детальные функциональные спецификации. - Разработка и описание сценариев использования (Use Cases) на основе пользовательских историй (User Stories) для детализации логики взаимодействия пользователя с системой. - Определение и документирование точек интеграции с внешними сервисами. - Анализ входной документации, протоколов и форматов данных для интеграций. - Формирование четких, понятных и проверяемых задач для команды разработки и тестирования (включая критерии приемки — Acceptance Criteria). - Обеспечение технической грамотности постановок задач, чтобы минимизировать риски недопонимания при реализации. - Владение нотацией UML (диаграммы последовательностей, состояний, классов, активностей) для описания логики работы, переходов состояний сущностей и взаимодействия компонентов. - Использование нотации IDEF (например, IDEF0) для моделированияфункциональных возможностей системы и процессов управления.

Location: Sydney Workplace: hybrid Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognised by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognising our commitment to employee wellbeing and a strong workplace culture.Who we are looking for:We are seeking a Vice President of Sales, APAC to lead and scale our business across all customer segments and key APAC markets, including Australia and New Zealand, Southeast Asia and Japan. Reporting directly to the Chief Revenue Officer, this executive will own regional revenue growth, lead high-performing sales teams, expand strategic enterprise relationships, and drive market expansion across APAC.This role will be based in our Sydney Office.Responsibilities:Lead, coach, and develop high-performing sales leaders and Account Executives across the APAC region.Own the regional sales strategy and execution to achieve ambitious revenue and growth targets.Build and foster a high-performance culture focused on accountability, customer success, and continuous improvement.Drive enterprise new-logo acquisition while expanding strategic relationships with existing customers.Lead forecasting, pipeline management, territory planning, and business reviews to ensure predictable growth.Partner closely with Marketing, Customer Success, Solution Consulting, Alliances, and regional partners to maximise market opportunities.Represent Creatio with executive customers, partners, and at industry events across APAC.Requirements:10+ years of successful enterprise SaaS sales experience, including 5+ years leading high-performing sales teams.Proven track record of consistently exceeding regional revenue targets and scaling enterprise sales organisations.Strong experience selling complex SaaS platforms to large enterprises and building relationships with C-level executives.Demonstrated ability to develop and execute go-to-market strategies across diverse APAC markets.Experience managing long, complex sales cycles and multi-million-dollar opportunities.Strong leadership, coaching, and talent development capabilities.Deep understanding of the APAC enterprise software market and an established executive network across the region.Experience in CRM, workflow automation, no-code/low-code, or adjacent enterprise software markets is a strong advantage.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Tel Aviv Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Mobile Team Lead at Via, you’ll lead the development of product areas within our mobile apps that helps transit agencies deliver reliable and efficient service to their communities. You’ll guide a team of engineers in building something entirely new while working closely with other teams to ensure the product integrates seamlessly into Via’s ecosystem. This role offers the unique opportunity to create from the ground up while leveraging the strengths of an established platform to maximize impact. About the Role: Lead the development of key mobile initiatives, such as improving rider/driver app performance, reliability, and user experience across iOS and Android Own and execute a roadmap focused on scalability (e.g. handling peak demand, optimizing app responsiveness, and reducing latency across core user flows) Drive cross-functional projects with Product, Design, and Backend teams to launch new features end-to-end, from concept through production Improve engineering quality and velocity by introducing better development practices, strengthening code review standards, and evolving mobile architecture Build and grow a high-performing team by hiring, mentoring, and supporting engineers across different levels Identify and lead improvements to team processes (e.g. release cycles, CI/CD, testing frameworks) to increase efficiency and reduce friction Contribute to broader mobile initiatives, such as aligning on shared tooling, frameworks, and long-term platform strategy About You: 7+ years of experience building mobile applications (iOS or Android), including experience working on production-scale apps Proven experience leading engineering teams and delivering complex projects end-to-end Strong understanding of mobile architecture, performance optimization, and modern development practices (e.g. CI/CD, testing, MVVM) Comfortable working across mobile, backend, and product domains to deliver cohesive solutions Collaborative and pragmatic, able to balance speed with quality and make thoughtful trade-offs Hands-on and detail-oriented when needed, while still operating effectively at a leadership level Clear communicator who builds trust across teams and creates a positive, inclusive team environment Compensation and Benefits Our product impacts millions of users around the world by providing alternative transportation solutions that are more efficient and accessible, helping cities become greener. Competitive compensation package including base salary and stock options. Health insurance with a discount for family members. Hybrid work model and a lovely office located in the heart of Tel Aviv, Midtown, close to the light rail and train station. Career development and growth opportunities. Additional perks include Freefit, sports lessons, 10bis/Cibus, happy hours, team events, communities, and many more benefits. We’re Via, and we build technology that changes the way the world moves. We’re driven by a simple mission: to create modern and efficient public transportation systems that provide far greater access to jobs, healthcare, and education. With our best-in-class suite of products, we make transit thrive. If you’re excited to be at the forefront of modernizing the future of transportation, are up for solving tough problems, and enjoy building exceptional user experiences, we’d love to hear from you. Ready to join the ride?

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Limassol, Cyprus; Madrid, Spain; Munich, Germany; Paphos, Cyprus; Prague, Czech Republic; Warsaw, Poland; Yerevan, Armenia You see software development and team organization not as a rigid set of rules, but as a craft that deserves better tools. You want to design complex, data-rich productivity platforms where information architecture is a first-class problem, and you want to rethink how humans work alongside AI. If you are a designer who values hands-on craft, hates unnecessary bureaucracy, and wants the autonomy to build a team's design process from scratch, this role was built for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. What you’ll do YouTrack handles serious complexity – agile boards, backlogs, knowledge bases, helpdesks, and deeply customizable workflows – across teams from two-person startups to global enterprises. We’re at a point where the category's oldest assumptions are worth reconsidering. Issue tracking has relied on the same foundational blocks for years, but AI opens an opportunity to rethink how software can actively help teams get work done. We need a Lead Product Designer to shape where project management goes next while keeping a massive, mature surface area coherent, legible, and a pleasant to use. In this role, you’ll lead a small design team of two designers, own the overall design quality bar across the product, and act as an individual contributor on our hardest, least-charted problems. You’ll build a fresh design process from scratch with the full backing of a team lead who respects craft and values professional judgment. Day to day, you will: Shape a point of view on how project management and issue tracking evolve in an AI-native world and turn those concepts into tools people can actually use. Design how people work alongside AI capabilities in YouTrack, from conversational interfaces to inline assistance and background automation. Develop interaction patterns for unsettled problems, including surfacing AI confidence, making actions transparent, and keeping users in control. Prototype and test new concepts quickly, separating ideas that feel clever from those that genuinely reduce friction. Keep a large, deep product coherent so that boards, helpdesks, reports, and administration feel like a single cohesive engine. Partner with product management and engineering to shape roadmap priorities from a design perspective, influencing what gets built and why. What you’ll bring A deep commitment to craft ownership, holding yourself and your team to high standards without creating bottlenecks. Comfort building clear, lightweight processes, without turning them into restrictive bureaucracy. The generosity to share knowledge openly and collaborate across a broad, global design community. Clarity in your writing and reasoning, with the ability to explain complex design decisions in plain words. Comfort with ambiguity and a healthy appetite for finding the right questions before designing the answers. Strong opinions, loosely held, with a clear understanding of when to follow platform conventions and when to break them. What you’ll need Successfully led the design of complex, data-rich productivity tools or software systems where information architecture is a primary challenge. Proven understanding of how modern AI systems operate beyond single-turn prompts, including agentic workflows and multi-step execution. Experience mentoring and leading other designers, giving clear feedback that lands and raises the bar. Ability to design unified experiences that cater to small startup teams and large enterprise customers simultaneously. A portfolio showing a range of work from precise micro-interactions to large-scale information architecture. What success looks like Success means earning the trust of your team and peers through sound interaction choices and clear systemic improvements. You will establish a reliable critique rhythm and a structured way of working that helps your designers grow. Within your first few months, delivering clear patterns for our AI capabilities, paying down accumulated UX debt, and ensuring YouTrack remains both deep and remarkably quick on its feet. Why join JetBrains? Strong base salary. We offer competitive pay that reflects your skills and experience. Flexible work schedule. Enjoy the freedom to work from home or from the office. Extra time off. More days to relax, recharge, and do the things you love. Learning and development opportunities. Access to conferences, courses, and language classes. Relocation support. Assistance to help make your move as smooth and stress-free as possible. Free meals and snacks. Lunch and refreshments provided to keep you fueled. Health and wellness. On-site gyms or sports club stipends. Internal events. Company-wide celebrations and team gatherings. If this sounds like you, we’d love to hear from you. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a founding Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.   In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You are fluent in English and Korean native - You hold a PhD / master in AI / data science/ software or you’re self-made - You have 10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases, OR - You have strong technical coding skills in Python and TypeScript, and experience with front-end and backend frameworks such as React/ NextJS/ VueJS, and NodeJS - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience with LLM/GenAI models - Experience as a hands-on CTO, VP Engineering, Director Engineering, Head of ML, Forward Deployed Engineering leadership, and related scopes - Experience founding a startup or as a founding member of a fast growing startup WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Shanghai Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. ABOUT YOU We are looking for a Senior Android Engineer who is self-motivated, product-minded, and technically rigorous to join our Storefront Engineering team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build a high-quality, white-label Android game store from the ground up, tackling complex challenges in large-game distribution, download management, and multi-tenant theming.   Strong Kotlin and modern Android development skills are essential, along with experience in native Android development, particularly with large-file downloaders, app stores, or content distribution systems. The ability to collaborate effectively with cross-functional teams (product, design, backend, and QA) and drive technical decisions will be key to your success in this role. If you’re passionate about creating high-performance, feature-rich consumer-facing applications and love solving the unique technical challenges of distributing and updating large-scale Android games, we would love to hear from you! Responsibilities Design, build, and maintain the Android client for the game store, using Kotlin + Jetpack Compose to deliver a modern, high-performance UI. Implement core features: game browsing, categories, search and filtering, game detail pages, user accounts, game library, ratings and reviews. Design and implement the game download, install, and update management module (resumable downloads, guided/silent installation, signature verification, version management). Implement white-label theming and multi-channel build capabilities (via Gradle product flavors and/or runtime theme configuration) to support per-partner branding. Optimize app performance (e.g. startup time), stability (e.g. crash rate), binary size, and memory usage. Collaborate closely with product owner, designer, backend dev, and QA; contribute to technical design and code reviews. Write clean, maintainable, and well-tested code; enforce coding standards and participate in peer code reviews. Game industry experience required On-site position only (remote work not available) Qualifications and Skills Degree in Computer Science or a related field, with 5+ years of native Android development experience. Strong command of Kotlin, including coroutines and Flow for asynchronous programming (or mastery of Java and its equivalents). Proficient with Jetpack Compose for declarative UI development (traditional View/XML experience is a plus). Familiar with Android Jetpack components (ViewModel, Lifecycle, Room, Navigation, Hilt) and MVVM/MVI architecture. Familiar with common libraries: networking (Retrofit/OkHttp), image loading (Coil/Glide), and local storage. Familiar with the Gradle build system, including white-label / multi-tenant / multi-flavor builds, signing, and version management. Solid understanding of Android’s installation mechanisms, permission model, and behavioral changes across OS versions. Solid engineering fundamentals: coding standards, unit testing, and version control (GitLab/GitHub). Proficiency with AI coding tools to boost development productivity. Nice to have Understanding of the Chinese gaming industry, game app characteristics, and player needs. Experience in game development, publishing, or operations on major Chinese gaming platforms. Familiarity with the Android package structure exported by game engines such as Unity / Unreal (APK + OBB expansion files, large asset bundles). Experience integrating game SDKs (account login, in-app purchases, ad monetization, analytics, real-name verification). Note: Less experienced candidates could be considered as middle-level developers. Job Description This job description is intended to outline the general nature and level of work currently performed and is not an exhaustive list of all duties, responsibilities, or qualifications required. Privacy Notice & Data Processing Consent By submitting your application and uploading your resume/CV, you acknowledge and agree that Xsolla will process your personal information (including but not limited to your name, contact details, work experience, and educational background) for the purpose of recruitment, candidate evaluation, and internal record-keeping. In accordance with the Personal Information Protection Law of the People's Republic of China (PIPL): Purpose Limitation: Your data will only be used for current and future recruitment considerations within Xsolla. Sensitivity: We will handle your personal information with a high duty of care. Your Rights: You have the right to access, correct, or delete your personal information, and to withdraw your consent at any time by contacting us. If your application proceeds past the final interview stage, we may conduct a background check, subject to applicable laws and regulations, only after obtaining your separate written consent. Any such check will be strictly limited to information directly relevant to the employment relationship (e.g., educational background, employment history) and will comply fully with the PIPL. Your personal information will be used solely for recruitment and human resource management purposes, and we will implement rigorous security measures to protect your data. Xsolla takes your privacy rights seriously. We are committed to protecting your personal information in accordance with Chinese data protection laws and will not sell, unlawfully provide, or disclose any personal data received during the hiring process without your explicit authorization. As a data processor, we uphold our obligations to safeguard your personal data and respect your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Tokyo, Japan Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding innovative solutions to complex problems. You’ll have limitless learning opportunities and daily collaborations with world-class minds — while doing work that’s both meaningful and fun. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. Read our blog to learn more. About the role... We're looking for a Head of Merchandising, Japan to grow Duolingo's online store in Japan and build it into a meaningful part of how fans experience our brand. This role is a backfill for the previous head of merch and will focus primarily on the Duolingo Store, while also helping shape pop-ups and potential retail store opportunities. You'll lead merchandising and ecommerce for Japan, with a high bar for quality, localization, and brand fit, while helping Duolingo show up in the real world in ways that feel uniquely delightful and culturally resonant. Japan is one of Duolingo's most important brand and IP markets, and this role has a real opportunity to build something from the ground up, with the potential for successful playbooks, formats, and learnings from Japan to inform how we scale merchandising globally over time. This role reports to the Director of Country Marketing, Japan & Korea. 🧠  You will... Own the P&L and day-to-day operations of Duolingo's online store in Japan, including demand forecasting, inventory planning, assortment planning, site performance, supply chain, and fulfillment, with a high bar for efficiency and quality Own the store as a startup within Japan's marketing org, growing it with an eye toward revenue, ROI, and commercial performance across traffic, conversion, AOV, repeat purchase, and sell-through Lead product planning, design direction, and production, from concept through launch, in partnership with Brand, Design, Social, and Operations Identify, select, and manage external partners (vendors, manufacturers, agencies) and own those stakeholder relationships end-to-end Build the Duolingo Store into an efficient, on-brand marketing channel that deepens fan engagement through product drops, storytelling, and localized execution Develop and execute pop-up experiences and help explore future retail store opportunities that bring Duolingo to life in Japan Build and test merchandising concepts, product drops, and launch formats in Japan first, developing repeatable systems and playbooks so that what works can be adopted by other markets as we scale our consumer products business globally Work closely with the broader marketing team to connect store moments with campaigns, community buzz, and brand storytelling ✅  You have... 10+ years in e-commerce, merchandising, or consumer products leadership for a consumer-facing brand Experience building a merchandising or e-commerce function from 0 to 1, with hands-on ownership of a P&L and platforms such as Shopify An ability to think outside the box on merchandising and branding, balancing commercial performance with strong brand fit Experience leading cross-functional work across creative, marketing, operations, and external partners, with excellent execution skills in fast-moving environments Business-level English and Japanese, with strong communication skills across local and global teams ⭐  Exceptional candidates will have... Experience launching or operating pop-ups, experiential retail, or store-based brand activations Experience scaling a merchandising or ecommerce function internationally, especially with localized assortments or market-specific launches Familiarity with fandom-driven, character-led, or lifestyle brands where products help consumers express identity and affinity Strong instincts for what makes physical products feel uniquely Duolingo: high quality, distinctive, and culturally resonant An entrepreneurial mindset and comfort owning a business end-to-end, with an eye toward turning a Japan success story into a broader, potentially global, merchandising mode The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: ¥17,178,000 — ¥25,767,100 JPY Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .