As a member of this team, you ll collaborate with talented engineers to design, build, and optimize responsive and scalable cloud-based services that form the backbone of our technology. You ll engage with customers and partners to design solutions that can reliably handle the velocity and scale of modern data ecosystems. This role is ideal for individuals with an outcome driven mindset, who are impact-driven, thrive in dynamic environments, and excel at creative problem-solving. What You ll Do: Build Scalable Systems : Design and develop a high-performance data onboarding platform capable of handling petabytes of data in real-time. Integrate Diverse Datastores : Build robust integrations with a variety of data sources (e.g., MySQL, Mongo, Iceberg), data storages (e.g., Snowflake, Redshift, ClickHouse), and object storages (e.g., S3, GCS). Leverage ClickHouse : Create solutions that enable users to fully harness ClickHouse s exceptional performance and throughput. Collaborate Across Teams : Work closely with internal teams to ensure the platform aligns with customer needs and business objectives. Drive Innovation : Lead and influence technical discussions, continuously identifying and implementing improvements. About You: Experience : 5+ years of industry experience building high-scale, data-intensive software solutions. Expertise : Proficient in Golang (preferred) or Java , with deep experience in distributed systems and microservices architecture. Data Engineering Skills : Strong background in designing and implementing robust ETL pipelines and an understanding of data replication methodologies such as CDC. Cloud-Native Proficiency : Solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major CSP. Kubernetes : Practical experience with Kubernetes (K8s), including debugging and managing distributed systems at scale. Problem Solver : Exceptional production debugging skills, with the ability to navigate and solve complex technical issues in fast-paced environments. High Autonomy : Thrives in a high-velocity setting with significant ownership and autonomy. Mindset : A founder s mindset with a focus on impact, innovation, and delivering measurable results. Collaboration : Excellent communication skills and a track record of working effectively across teams.

The Sales Operations Analyst assumes a pivotal position in the orchestration and optimization of our sales processes. Their responsibilities encompass ensuring seamless interdepartmental collaboration and providing data-driven insights to inform strategic decisions. This role stands as a linchpin in both the success of our sales team and the overarching growth trajectory of ClickHouse. Our ideal candidate is a self-starter and is motivated to roll up their sleeves and help out within the operations team. You will streamline processes, accelerate our GTM skills, and foster a customer-friendly attitude. Note: This position can be remote anywhere in Australia, Singapore, or Bengaluru What you will do: Partner with the go-to-market teams to develop meaningful reports, dashboards, and analysis using Salesforce, Excel, SQL, Superset, etc.. Partner with the sales team to manage the forecast and provide analysis on the forecast, pipeline, and sales outcomes Responsible for APJ deal support from quote to cash Support the creation of private offers on Cloud Service Provider platforms Provision ClickHouse Cloud credits in m3ter, issue credit refunds, and oversee trial extensions Build sales enablement and onboarding new APJ sales leaders Manage and maintain territories in Leandata, including the methodology, design, and assignment process Quickly solve process pain points in the moment, while helping develop long-term solutions Partner with the billing and finance teams to consolidate and automate manual processes Partner with data warehouse teams to maintain a unified data dictionary and reporting cadence plus QA cycle Build and maintain our documentation on go-to-market policies and processes to help enforce compliance and data quality Participate in the planning process and write compensation letters aligned to the quota plan and target What you bring: 3+ years in a Sales Operations role in a SaaS technology company. Start up experience preferred Strong SQL skills and knowledge with Salesforce data tables Strong organizational skills, with the ability to work independently as well as in a highly collaborative, team-based environment Ability to execute and skillfully juggle multiple projects, stakeholders, and deadlines Systems thinking by accurately defining the problem and scope and applying creative solutions using process and technology Great communicator with the ability to understand complex concepts and speak to them concisely and effectively Knowledge and experience of go-to-market tools (e.g. Salesforce, LeanData, Groove, etc..) Knowledge of cloud and consumption based billing within SaaS technology

Supporting and guiding our ClickHouse users, customers, and prospects via cases, chat, Slack, community, and meetings Develop solutions based on ClickHouse Cloud and ClickHouse open-source that can be shared with our users, community, and customers via documentation, knowledge base, blogs, meetups, webinars, and training Work closely with our global Support Services, Engineering, Go to Market, and Product Management teams to help define functionality required by users and customers Assist with mentoring, training, and sharing your knowledge with colleagues, users, and customers And of course: You will deliver excellent customer service as a first-line technical engineer and representative of ClickHouse. Our Support Engineers provide professional response, on-call coverage, and guidance within the required Service Level Agreements ("SLAs") on technical cases that are opened via a ticketing system, email, Slack, chat, and/or phone You will build strong, trusted relationships with colleagues, customers, and partners What you bring along: Technical breadth and depth in ClickHouse open-source or Cloud, or in domains relevant to ClickHouse, such as: SQL databases, OLAP, cloud-native SaaS, distributed systems, Kubernetes, Docker Previous technical experience in roles such as Support Engineer, Technical Account Manager, Database Administrator, Site Reliability Engineer, Solutions Engineer, Software Engineer, and/or Systems Engineer Be present and available according to the scheduling required to deliver high-quality 24x7 Support in a global, distributed environment Strong written and verbal English communication skills and the ability to work fully remote with reliable connectivity A mindset of teamwork, global engagement, empathy, and solving challenging problems A sense of adventure and urgency in building the most scalable, high-performing, largest, and fastest databases on the planet The ability to build trusted relationships with colleagues, customers, and partners You are self-driven, curious, and eager to continuously learn and grow Bonus points: Experience with ClickHouse Experience with OSS and open-source technologies, as a user, community member, or contributor Experience with Azure, GCP or AWS Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others