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Location: Paris Workplace: Hybrid 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. THE ROLE As an Accounting (R2R) Manager on the Accounting team, you will play a critical role in supporting Mistral’s rapid international expansion. This position is designed to own and execute the end-to-end close process, ensuring accurate, timely, and scalable financial reporting across all entities. You will lead the Record-to-Report function, maintaining the integrity of the General Ledger and balance sheet while managing a team of GL accountants. Your work will directly impact the company’s ability to scale its financial operations globally. WHAT YOU WILL DO - Own and run the monthly, quarterly, and annual close processes. - Build and maintain a detailed close calendar and checklist, tracking progress daily to meet all deadlines. - Proactively identify risks and escalate issues early to avoid delays. - Manage and coordinate the R2R team, allocating responsibilities and ensuring coordinated delivery. - Oversee journal entries, trial balance accuracy, and monthly reconciliations for all balance sheet accounts. - Investigate and resolve unusual or aged items to maintain data integrity. - Manage intercompany accounting and reconciliation across entities, resolving mismatches proactively. - Prepare data for group consolidation and support audit and statutory reporting. - Contribute to process improvements, automation, and standardization initiatives. WHAT WE'RE LOOKING FOR - CPA or equivalent professional designation with at least 8 years of accounting experience, including 2+ years at a Big 4 firm. - Solid knowledge of IFRS. - Strong experience in General Ledger and close processes, particularly in multi-entity or international environments. - Advanced proficiency in SAP S4/HANA is a plus. - Strong organizational and time management skills to manage deadlines and priorities under pressure. - Fluent in English; French is a plus. 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: Remote (Peru) At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo. We're looking for an outstanding Senior Databricks Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. This is a senior-level position with the opportunity to work remotely in Peru. Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep, production-grade expertise across the Databricks platform and know how to connect platform capabilities to real business outcomes. You thrive in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your Databricks depth is most valuable when it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You excel at translating complex data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in real-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment via Declarative Automation Bundles. Architect and implement Lakehouse solutions on Databricks — medallion architecture, Delta Lake, Unity Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain Databricks transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — Unity Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data contracts — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, develop data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work within multi-cloud environments — primarily AWS and Azure — anchoring data platform recommendations around Databricks where it fits the client's architecture and goals. Champion data governance through Unity Catalog — access control, lineage, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and Databricks Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build Livefront's Databricks practice — contributing to accelerators, internal enablement, certification goals, and Databricks partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to make things better. You desire a work environment where respect, mutual trust, and egoless collaboration are paramount. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputation for excellence that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reach. You believe in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with Databricks, what we build as accelerators, and what it means to do this kind of work at a digital product company. What you bring to the table 5-8+ years of data engineering experience with at least 4 years in production Databricks environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure cloud services relevant to Databricks deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade Databricks expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, Unity Catalog (including fine-grained access control and lineage) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — medallion patterns, Delta Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments via Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain complex data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with real-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative cloud data platforms — useful context for migrations and competitive assessments, though Databricks is our primary platform focus. Have experience in healthcare or fintech domains. Have hands-on experience with MLOps or LLMOps on Databricks — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or Scala. Have strong illustration skills for technical diagramming and data architecture documentation. Speak, write, and/or educate publicly about data engineering topics. Have contributed to open-source data projects. Hold or are actively pursuing a Databricks certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our Databricks partner growth goals. Have experience with Databricks Apps, or Lakebase — early familiarity with where the Databricks platform is heading is a strong differentiator. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants. Don't worry, every application will be reviewed by a human.

Location: Mexico Company Background Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia. Project Description The role is focused on developing and modernizing real-time DSP serving services that process bid requests, deliver ads, integrate with third-party platforms, and record measurement events used for reporting and billing. The team works on high-throughput, low-latency systems processing millions of requests per second, with a strong focus on availability, data correctness, performance tuning, and scaling the platform for future growth. Current initiatives include splitting a monolith into microservices, improving deployment automation, and moving measurement pipelines from batch processing to real-time streaming with Kafka. Technologies Java Kafka / Kinesis Redis S3 Tomcat Docker, K8S Git, CI/CD What You'll Do Develop critical high-performance, large-scale services for DSP programmatic integrations and platform products; Work closely with the Product team to understand business needs and translate product requirements into technical solutions; Write clean, efficient, and production-ready code with a strong focus on high throughput and low latency; Design, develop, test, and improve new and existing platform features; Contribute to building large-scale distributed systems processing billions of transactions per day under strict SLAs; Improve test coverage, monitoring coverage, automation, and overall system observability; Follow Agile methodologies and work in a fast-paced engineering environment with quick delivery cycles; Job Requirements 5+ years of commercial experience in Java backend development, with a focus on scalable backend systems; Strong knowledge of the JVM ecosystem, including garbage collection, profiling, and performance tuning; Experience with distributed REST APIs, fault tolerance, scalability, consistency, and resilience; Hands-on experience with low-latency and high-throughput services; Experience with real-time streaming pipelines using Kafka, Kinesis, or similar technologies; Strong knowledge of data structures and algorithms; Experience with web/application servers such as Tomcat; Solid understanding of networking and load balancing concepts; Production experience with Docker and Kubernetes; Experience with Git and CI/CD pipelines, such as GitLab CI/CD or similar tools; Interest in applying modern technologies and AI-assisted development tools; Readiness to participate in PagerDuty rotation (1 week per quarter); Strong verbal and written communication skills, including the ability to explain complex technical trade-offs to both technical and non-technical stakeholders; English: B2 or higher; Nice To Have Prior experience in the AdTech industry; Familiarity with Python or Scala; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We are seeking our second IT Engineer to join our growing team in San Francisco. Our team laid the foundation for IT at LangChain, and this role is critical to helping us mature and scale that foundation as the company grows. You'll bring deep technical expertise to our fleet management and SaaS administration, with room to shape how we manage our fleet, identity, SaaS stack, and the automation that runs the business. The ideal candidate brings startup experience, thrives in ambiguity, loves a good problem, and is excited to build scalable systems that support our global team. This role can be worked out of SF or NYC.   WHAT YOU'LL DO Infrastructure & Automation - Build and maintain our IT infrastructure and tech stack that scales with LangChain’s rapid growth - Drive automation initiatives to reduce toil and improve efficiency using scripts, APIs, and workflow tools - Implement monitoring and documentation practices that enable operational excellence Client Platform Engineering - Reimagine how we deploy, configure, and manage our Mac fleet. MDM (Iru) is the foundation, not the entire solution however. - Design and build a secure, reliable, and maintainable desktop environment that replaces our current patchwork of one-off scripts with version-controlled, testable, and repeatable systems - Own our approach to custom security controls and application deployment across the fleet, so updates and configuration changes are consistent and easy to roll out at scale - Build the fleet management systems now so they hold up as headcount, and the fleet, keep growing Security & Identity Management - Drive our identity strategy, implementing secure, scalable access controls following the principle of least privilege - Identify and implement security enhancements across our SaaS stack - Partner with our Security team to drive improvement of our enterprise security posture SaaS Administration - Administer and optimize our growing SaaS stack, managing provisioning, access controls, and lifecycle management - Become IT's central administrator for LangSmith, our own product, developing deep fluency in its administration surface - Build automated workflows for LangSmith administration using its API paired with our automation tooling, reducing manual, toil-heavy admin work - Help IT stay fluent across the internal tools we run and support, including the LLM Gateway. Another LangChain product. Core IT Operations - Provide support to employees globally across hardware, software, networking, and IT tools - Deliver great onboarding experiences for new hires, ensuring they have the right hardware, access, and setup so they can be productive from day one   WHAT YOU'LL BRING - 5+ years of experience in IT engineering and systems administration - Deep proficiency with Okta and Okta Workflows - Fluency in at least one general-purpose programming language (Python, JavaScript, or similar) with demonstrated ability to write production-quality scripts and automation - Versed in the us of REST APIs, webhooks, and API authentication methods; you should be comfortable reading API documentation and building integrations between systems - Demonstrated ability to build meaningful automations that reduce manual work and improve IT operations - Hands-on experience with IaC using Terraform to manage and provision IT infrastructure and applications, and comfort applying changes within an existing Terraform codebase - Experience using coding agents (e.g. Claude Code) as part of your day-to-day engineering workflow to build and ship automation faster - Strong experience with a modern tech stack that includes Google Workspace, Slack, Notion, Claude, ChatGPT - Solid understanding of MDM platforms, and ideally experience going beyond baseline MDM with fleet/configuration management tooling to manage a fleet's security and application needs - Experience administering a large or complex SaaS stack, ideally including internal or AI/LLM-based products - Strong networking fundamentals (TCP/IP, DNS, VPNs, firewalls, switching, wireless, LAN/WAN)   - Annual salary range: $150,000-$170,00 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Limassol Cyprus Workplace: OnSite Scorewarrior is a game developer and publisher based in Limassol, Cyprus. The company focuses on the 4X strategy genre, with an ambitious goal to grow its hit game, Total Battle, to become the No.1 strategy game in the world. Our team consists of 200+ passionate, talented, self-driven, and continually developing professionals who love making high-quality games. Our product: We are currently working on Total Battle — an MMO 4X strategy game with a deep political system and lots of player interaction. Players take on the role of a commander and need to develop their city, forge alliances, fight against monsters, and conquer other players. We're constantly developing new game mechanics, and the project is continuing to grow.   We are looking for a Senior Backend Developer to join the Framework Team building tools used by fellow engineers and powering game services across the company. You will work with modern C++ (17/20), asynchronous systems, network communications (S2S), high-load services, and distributed architectures.   WHAT DO WE DO: - Design and develop core SDK/framework modules with clean abstractions to enable simple, fast, and high-quality game logic development. - Gather requirements and design APIs, protocols, and service-to-service interaction contracts. - Build asynchronous and multithreaded code with high performance in mind. - Work with S2S communications: idempotency, transactions, and guaranteed delivery in distributed systems. - Design and evolve ORM and data persistence layers (PostgreSQL, Redis). - Ensure scalability, stability, and fault tolerance of backend services. - Work with legacy code—simplify, refactor, and increase reliability without downtime or production risks. - Implement observability: metrics, logs, tracing. - Improve developer tools and DevEx — CMake, Conan, Python tooling, CI/CD scripts, Docker. - Participate in code reviews, architectural discussions, mentoring, and R&D exploration.   WHAT WE EXPECT: - Ability to gather requirements, design solutions, break down work, and deliver to production independently. - 3+ years of backend development experience on a statically typed language under Linux. - 3+ years of commercial experience with C++17/20. - Strong knowledge of asynchrony and multithreading (threads, futures, coroutines, atomics). - Understanding of network communication (REST/RPC (gRPC), HTTP, WebSocket, TCP). - Hands-on experience with PostgreSQL (DDL/DML, transactions, indexes, migrations). - Solid software design skills: Software Design, SOLID, Clean Code, IoC/DI, composition, GoF patterns. - Experience working with distributed and high-load systems. - Understanding of System Design: scaling, degradation, caching, SLA/SLO/SLI. - Experience with CI/CD, containers, and build systems (CMake, Docker, Jenkins/GitLab). - Familiarity with testing and performance tools (GTest, Valgrind, Perf, Sanitizers). - English - B1 or higher, Russian - B2 or higher.   WHAT WE OFFER: - The best team in the world! - An excellent remuneration package, including a 13th salary. - Relocation package for you and your family to Cyprus (Limassol). - A modern and sunny office close to the sea. - Private health insurance for you and your family members. - A monthly pre-school, school, and university allowance for employees' children. - Lunch compensation and a sports and fitness allowance. - Personal development opportunities paid for by the company: professional and language courses, books, etc. - Bonuses for outstanding results, years worked, getting married, and the birth of a child. - Friendly monthly office parties and epic, annual offsite company birthday and Christmas parties.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin 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. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, with strong expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. 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: Paris 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. THE ROLE As a Site Reliability Engineer (SRE) on the Platform team, you will shape the reliability, scalability, and performance of our platform and customer-facing applications. You’ll work closely with software engineers and research teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role balances day-to-day operations on production systems with long-term software engineering improvements. Your work will reduce operational toil, foster reliability, and ensure high availability for our web services, inference environments, and ML workloads. You’ll enable seamless replication of work environments across multiple HPC clusters, directly impacting the stability and efficiency of our AI platform. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support web services and ML workloads. - Ensure our platform, inference, and model training environments are always highly available and enable seamless replication across HPC clusters. - Operate systems and troubleshoot issues in production, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis. - Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, and Terraform. - Collaborate with AI/ML researchers to enable safe and reproducible model-training experiments. - Build a cloud-agnostic platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Work with the security team to ensure infrastructure adheres to best practices and compliance requirements. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 7+ years of experience in a DevOps or SRE role, with strong expertise in cloud computing and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. 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: Paris; Amsterdam; Marseille; Munich; London Workplace: OnSite 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. The Role   As an AI Deployment Strategist, you will drive the adoption and deployment of Mistral’s AI solutions, working closely with customers from strategic vision to production implementation. This role sits at the intersection of business strategy, AI innovation, and hands-on deployment, ensuring our customers achieve transformative outcomes.   You will partner with senior executives to design AI roadmaps, collaborate with the Applied AI team to deliver solutions in production, and ensure seamless transitions from presales to postsales. Your work will directly contribute to customer success, bridging the gap between strategy and execution.   This role is ideal for those who thrive in a fast-paced environment, enjoy solving complex business challenges, and are passionate about turning AI potential into real-world impact.   What We're Looking For   Strategic Discovery & Vision Setting • Lead executive-level workshops with CISOs and security teams to identify cybersecurity challenges and opportunities where Mistral's AI can drive step-change improvements (e.g., threat intelligence, SOC automation, vulnerability management, incident response). • Co-create AI-powered cybersecurity adoption roadmaps with customers, articulating the "art of the possible" and a clear path to value in securing their digital assets. AI Solution Design & Deployment for Cyber • Architect end-to-end AI solutions tailored to cybersecurity use cases, integrating Mistral's models and platform into customer security workflows, SOC environments, and technical infrastructure. • Partner with the Applied AI team to design, prototype, and deploy AI-driven cybersecurity solutions in production (e.g., automated threat detection, intelligent alert triage, security log analysis, phishing detection, compliance automation). • Own the execution of pilot projects and proofs-of-value within cybersecurity contexts, demonstrating the potential of our technology and paving the way for full-scale deployment. • Ensure deployed solutions meet security, privacy, and regulatory standards (e.g., NIS2, DORA, ISO 27001, SecNumCloud). Value Realization & Customer Success • Serve as a trusted advisor to cybersecurity customers, guiding their AI strategy for security operations and ensuring they maximize the value of their investment in Mistral. • Monitor key performance indicators (KPIs) tied to security outcomes (e.g., mean time to detect, mean time to respond, false positive reduction, analyst productivity). • Proactively identify expansion opportunities within accounts, building on initial cybersecurity successes to drive long-term partnerships across broader security and defense use cases. Cross-Functional Collaboration • Act as the bridge between cybersecurity customers and Mistral's internal teams, synthesizing domain-specific feedback to influence product and research roadmaps for security-oriented features. • Develop reusable assets, best practices, and playbooks specific to cybersecurity deployments to scale go-to-market efforts and ensure consistent delivery excellence. • Stay current on the evolving threat landscape, emerging cyber regulations, and AI-for-security trends to maintain credibility and thought leadership. • Travel (~30-60%) to foster deep client relationships and support on-site deployment, primarily within France and Europe. About you • 6+ years in a client-facing strategic and technical role within the cybersecurity or defense sector (e.g., cybersecurity consulting, security engineering, SOC operations, or technical sales in cyber). • You hold a degree in a relevant scientific field (e.g., Computer Science, Cybersecurity, Data Science, Engineering, etc.). • Strong cybersecurity domain expertise : solid understanding of security operations (SOC, SIEM, SOAR), threat intelligence, incident response, vulnerability management, and/or compliance frameworks. • Foundational knowledge of AI/ML/Data Science, with the credibility to advise both security-focused and non-technical audiences on AI-driven security solutions. • Hands-on experience building and deploying AI or data-driven applications (Python) to demonstrate value in security contexts. • Familiarity with French and European cybersecurity regulations and frameworks (e.g., ANSSI guidelines, NIS2, DORA, SecNumCloud, ISO 27001). • Strong business acumen and problem-solving skills, with the ability to structure ambiguous security challenges into actionable solutions. • Executive presence and communication skills to influence senior security stakeholders (CISO, VP Security, C-level). • Resilient, results-driven, and comfortable leading through influence in a collaborative environment. • Fluent in English. • Experience with sales qualification frameworks (e.g., MEDDPICC) and value-based selling is a plus. • Prior experience with defense or sovereign cloud environments is a plus.   Why This Role Matters   You will play a pivotal role in shaping how enterprises adopt and deploy AI, ensuring Mistral’s solutions deliver measurable impact. By partnering with the Applied AI team, you’ll help turn strategic visions into production-ready solutions, making Mistral an indispensable partner for our customers.     Hiring Process   • Talent Acquisition screening call • 30min Hiring Manager Interview • 45min Business Acumen Interview  • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution) • 30min Value Talk • Reference check 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: USA (Remote); Argentina (Remote); Mexico (Remote); Taiwan (Remote); India (Remote); Indonesia (Remote) Workplace: Remote ABOUT LILT LILT is building AI for a multilingual world — helping enterprises connect with their customers in any language. Our multimodal AI platform pairs with a global network of expert linguists and AI data specialists to deliver accuracy at scale, powering translation, model evaluation, and human-in-the-loop AI data programs for many of the world’s largest brands. ABOUT THE ROLE The Talent & Community team is the engine behind LILT’s global network of expert linguists and AI data specialists. As Talent Manager, you’ll own the full expert lifecycle — sourcing, vetting, testing, onboarding, and database management — ensuring LILT always has the right expert talent, in the right languages and disciplines, ready to support enterprise-scale multilingual and multimodal AI programs. This is a generalist role at the center of how we build and grow our expert talent pool. You’ll run internal and external sourcing campaigns, design and administer testing that keeps our quality bar high, and make sure every new expert is onboarded smoothly and reflected accurately in our systems. Reporting to the Director, Talent & Community, you’ll work closely with Production, Quality, and Revenue stakeholders across the business. WHAT YOU'LL DO - Own internal and external sourcing campaigns to build and maintain a healthy pipeline of expert linguists and AI data specialists across languages and disciplines. - Design, administer, and score vetting and testing assessments that evaluate candidate quality and fit before onboarding. - Manage end-to-end onboarding for new experts, ensuring materials and processes deliver a smooth, professional experience and desired outcomes. - Maintain accurate, up-to-date records in the expert database to support fast, reliable assignment decisions. - Liaise with Production and Revenue stakeholders to align sourcing plans with account and project requirements. - Analyze pipeline and database data to identify sourcing gaps across accounts and disciplines, and use it to inform recruitment plans. - Partner with team members to ensure a smooth, timely candidate experience from application through onboarding. - Look for opportunities to streamline and improve sourcing, vetting, and onboarding processes, and provide ongoing training and support to junior team members. WHAT YOU'LL BRING - Experience in Applied AI (e.g., AI data sourcing, model evaluation, human-in-the-loop programs) and/or localization vendor management — recruiting, vetting, and onboarding linguists or other language professionals. - A track record running large-scale multilingual projects across multimodal disciplines (text, audio, image, and video). - Solid organizational skills, meticulous attention to detail, and the ability to prioritize competing demands under deadline pressure. - Professional-level English; additional languages are a plus. - Bachelor’s degree required. NICE TO HAVE - 2+ years in a recruiting, sourcing, vendor management, or talent acquisition role, ideally within localization, language services, or AI data. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Malta The role of the Sportsbook Customer Risk Analyst is to ensure the optimization of the sportsbook customer base for maximum profitability, thereby stimulating business growth. This is accomplished through the timely and efficient segmentation of sportsbook customers. What you’ll be doing Identify anomalies and emerging trends in customer activity, and report them to the appropriate team. Conduct comprehensive analysis of Sportsbook reports, with a particular emphasis on customer behaviors. Manage Sportsbook customers, ensuring an optimized customer experience through an analytical approach. Mitigate risks from integrity matches, and questionable customers. Actively participate in the development of new strategies and tools to optimize the customer management process. Address queries and requests concerning customer limits and classifications. What we’re looking for Possess an excellent understanding of Sportsbook betting principles. Have a determined and adaptable attitude, coupled with a strong passion for the sports betting industry. Continuously strive for improvement, with a willingness to learn new skills and knowledge. Exhibit a strong team spirit, working cohesively as a single unit. Demonstrate detail-oriented and strong analytical skills, maintaining quality and accuracy. Bring at least three years of experience in a sportsbook environment. Be prepared for a work schedule that aligns with the global sporting calendar, including night shifts, weekends, and public holidays. Be fluent in English and possess strong communication skills. Be willing to relocate to Malta. Good to have Hold a university degree, preferably in an analytical field. Have manual trading experience in any of the following sports: US Sports, Ice Hockey, Basketball, Volleyball, Handball, eSports. Possess solid knowledge of Microsoft Office applications, with a strong emphasis on Microsoft Excel. Demonstrate excellent organizational skills. What we offer We provide a fun and challenging role within a collaborative and dynamic environment. For the right candidate, Betsson offers numerous career paths, whether you aim to deepen your technical expertise or pursue leadership roles in the future. At Betsson, we value diversity. We recognize the benefits of having a diverse workforce, understanding that it makes our company stronger and more competitive by bringing together individuals with varied backgrounds, experiences, and cultures. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: Paris; Warsaw; London Workplace: Hybrid 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. Role Summary    We are seeking a talented and experienced platform engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters.   Location: Paris / Warsaw / London (hybrid) or remote EU/UK with one hub visit per month.   What you will do   As a Platform Engineer, your responsibilities will include (but may not be limited to):   • Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed) • Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission. • Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines. • Optimizing a variety of builds: container images, large libraries compilation times, python environments... • Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise. • Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build. • Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks.   About you   • 5+ years of successful experience in a similar DX / DevOps / SRE role. • Proficiency in software development (Python, Go...) and programming best practices. • Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) • Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...). • Technical product mindset (e.g. understanding how to debug poor adoption). • Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). • Ownership, high agency and constantly seeking to learn and improving things for others. • Autonomous, self-driven and able to work well in a fast-paced startup environment. • Low ego and team spirit mindset.   Your application will be all the more interesting if you also have: • First hand Bazel (or equivalent) experience. • Strong knowledge of Python's ecosystem. • Familiarity with GPU based workloads and ecosystems. • Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe).   Location and Remote This role is primarily based at one of our European offices (Paris, Warsaw and London). We will prioritize candidates who either reside there or are open to relocating. We strongly believe in the value of in-person collaboration to foster strong relationships and seamless communication within our team. In certain specific situations, we will also consider remote candidates based in one of the countries listed in this job posting — currently France & UK. In that case, we ask all new hires to visit our local office: •  for the first week of their onboarding (accommodation and travelling covered) •  then at least 3 days per month 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: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Accounting Core team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About The Opportunity Core product role within the Advanced Trading PM team. Own advanced trading product lines and trading features for our onshore compliant markets( EEA ,US,SG,UAE and etc) — from strategy and PRD to launch and iteration — while keeping our product mechanics competitive with leading CEXs. What You'll Be Doing Product Ownership: Own the roadmap and delivery for assigned advanced trading product areas: account/margin model, order lifecycle, position management, market data surfaces, and trading UI on Web and App. Write clear PRDs and user stories; drive designs through review, UAT , launch, and post-launch iteration. Define success metrics and run continuous improvement loops on trading experience, liquidity quality, and risk outcomes. Competitive & Market Insight: Continuously benchmark against leading CEXs (Binance, Bybit, Coinbase, Kraken, Bitget, etc.) — deconstruct product mechanisms, fee/liquidity models, UX , and new launches. Track TradFi derivatives and onshore compliant-market developments; surface actionable opportunities. Trading Experience: Improve speed-to-trade, order tickets, Kline/charting, and active-trader retention features on Web and App. Partner with design and engineering to ship polished, high-performance trading surfaces. Liquidity, Execution & Risk: Contribute to liquidity parameters, fee tier design, and execution-quality tracking (spread, depth, slippage, fill-rate) under senior guidance. Support risk framework work: price limits, funding rate, index/mark price logic, leverage & position tiers — translating requirements into product specs. Compliant-Market Delivery: Work with compliance, legal, and local entity leads to deliver product changes for licensed jurisdictions (SG, EU/ MiCA , HK, US, BR, AU, UAE). Translate regulatory requirements into product specs without over-degrading UX. Cross-Functional Execution: Partner day-to-day with engineering, quant/risk, design, ops , BD, and institutional client teams. Communicate progress, risks, and tradeoffs clearly to the team lead and stakeholders. What We Look For In You 5+ years of product management experience, with at least 3+ years on crypto trading products (derivatives strongly preferred). Solid working knowledge of CEX product mechanisms: perpetuals/futures/options, margin models, funding rates, index/mark price, liquidation, order types, market microstructure Hands-on experience shipping trading features on Web and/or App at a top-tier CEX or comparable trading platform. Basic understanding of exchange liquidity economics and risk frameworks (maker/ taker fees, position tiers, leverage curves). Strong written PRDs, structured thinking, and cross-functional execution. Fluent English; Mandarin a plus. Nice to Haves Direct competitor experience at a leading CEX. Familiarity with at least one onshore compliant market (EEA, US, SG, AU, UAE, TR, BR). Prior experience at a traditional brokerage / TradFi exchange (e.g., IBKR, Futu, Tiger, Robinhood, CME, HKEX, SGX) — especially derivatives, margin, or trading UX. Familiarity with smart contracts, token economics, or tokenized RWAs. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: EST Europe Why this job is exciting Source code is at the heart of Sourcegraph. We support multiple code hosts and retrieve, store, index, and serve source code - to end users, admins, and other internal services. This role gives you the opportunity to solve complex, challenging, and highly technical problems for our customers, both internally and externally, help unleash the potential and productivity of our Engineering teams, and delight our customers with industry-leading quality software. The Platform team primarily focuses on building a fully managed platform for using Sourcegraph, Sourcegraph Cloud, our SaaS offering. As a member of the Platform team, you will work closely with both external customers and internal stakeholders to meet their needs. You will: Develop inter-cloud connectivity solutions to support enterprise customers from highly regulated industries to use Sourcegraph Cloud. Build a control plane to orchestrate a fleet of single-tenant Sourcegraph Cloud instances. Expose complex infrastructure as API to support internal customers to iterate faster. Dive into upstream dependencies (e.g., CDK for Terraform, Terraform providers for GCP)  to debug and patch non-trivial problems. Be an advocate for building reliable services and work with leadership to help product teams achieve operational excellence. Participate in on-call rotation to uphold our contractual SLA commitments. 📅 Within one month, you will… Onboard onto the Sourcegraph architecture, tooling, and development workflow. Build a solid understanding of the team’s areas of ownership, technical challenges, and problems the team solves for our customers, and know how all of these align with the top-level company goals. Actively participate in team meetings, sharing ideas and insights to contribute to the overall team goals. Start contributing to the team goals and deliverables by shipping new features, debugging issues, and fixing bugs. 📅 Within three months, you will… Demonstrate a comprehensive understanding of the Cloud infrastructure, its underlying technologies, and its integration within the Sourcegraph ecosystem. Lead initiatives contributing to team goals through both discovery and delivery phases, collaborating directly with product and design partners, other engineering teams, and non-technical stakeholders from different departments. Contribute to the architectural design and implementation of new features or improvements, actively shaping the future direction of Cloud infrastructure based on customer needs. Lead initiatives contributing to team goals on the roadmap by going through the entire product development lifecycle discovery, design, implementation, and delivery. Participate in our on-call rotation. 📅 Within six months, you will… Be defining long-term technical vision and strategies for new product development, scaling existing services, and managing technical debt. These plans will consist of multiple smaller milestones that you will deliver iteratively with the team. Collaborate with the Engineering Manager on defining the team’s growth strategy based on the long-term product vision, the technical vision, and the team’s needs. Seek feedback from customers and stakeholders to identify opportunities for further improvements or new features, actively iterating on the Cloud infrastructure to ensure it continues to meet our high bar. About you You bring a product mindset in balancing architectural flexibility and philosophy with meeting immediate customer demand. You are an experienced software engineer who seeks to solve problems by writing code rather than through one-off operations. You are passionate about user experience and self-service. You balance maintaining and designing high-impact systems with a pragmatic understanding of how to make appropriate tradeoffs (e.g., cut scope, low-tech vs. custom complex solutions) to ship quickly and iterate when necessary. Qualifications: Proficiency in Go, or other strongly typed languages. Knowledge in one of the public cloud platform providers (GCP, AWS, Azure) Experience with Terraform (or similar IaC solutions) and Kubernetes to build tooling and automation. Skilled at debugging distributed systems, followed by designing and implementing solutions to those problems. This means you should know your way around various OS-level primitives, e.g., network, CPU, and memory. Ability to communicate clearly and empathetically, especially in writing and documentation. Preferred time zone between UTC-8 and UTC+2 Nice to haves: Built services and exposed them as API for external consumption  (e.g., gRPC). Comfortable implementing system-level software  (e.g., custom transport protocol) if needed or has contributed to Kubernetes controllers/operators. Published blog posts and/or tech talks about your work. Experience working on small high-performing teams, preferably tech startups. Level 📊 This job is an IC3.  You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC3 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰The starting salary for the IC3 pay band in each zone is: Zone 2: $148,000 USD Zone 3: $111,000 USD Zone 4: $74,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 4.75 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [Async] Take-home exercise [60m] Take-home exercise walkthrough + System Design [60m] Pairing Exercise [60m] Resume Deep Dive [60m] Cross-functional Team Collaboration Interview / Values Interview 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30m] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

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.