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Location: Stockholm ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role Summary:   As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across a variety of industries. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.   What you will do:   Lead development (strategic outbound and qualified inbound): - Handle strategic outreach as well as warm introductions to promising enterprise customers - Converting inbound deals where upselling / more bespoke agreements can be achieved   Value prop validation for customer: - Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process - Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts   Deal management & closing: - Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level) - Handle customer negotiation end2end, together with our legal and implementation specialist team   Executive Engagement: - Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target organisations - Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives   Technical Aptitude: - Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients - Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase - Collaborate with our technical team to address any customer inquiries or concerns   Training and enablement: -Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities   Who you are:   - Proven experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product) - Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field - Significant work experience within AI ecosystem or related data/infrastructure field - Experience at successful fast growing startup, ideally in deep-tech - Strong technical skills to navigate quickly evolving products and steer technical discussions - Excellent English - Outstanding negotiation and communication skills 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: NYC Office Workplace: Hybrid Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! THE ROLE You'll build Tempo's partnerships function from the ground up — designing and executing 1:many partnership motions across infra, ecosystem, and SI partners that drive enterprise adoption of Tempo. This is a foundational GTM hire with direct impact on how the largest companies in the world onboard into crypto. RESPONSIBILITIES - Build Tempo's partnerships strategy and playbook from zero — infra partners, ecosystem partners, system integrators, and beyond - Identify, negotiate, and close large strategic partnerships that generate meaningful pipeline - Design scalable 1:many partnership structures, not one-off deals - Drive revenue through partner-sourced and partner-influenced deals - Work directly with product and engineering to scope partnership integrations and co-build opportunities - Represent Tempo externally at the highest levels — partner exec teams, industry events, ecosystem forums - Stand up the operational infrastructure for partnerships: tracking, reporting, partner enablement - Collaborate closely with Tempo's GTM team to align partnerships with direct sales and enterprise motions QUALIFICATIONS - 8+ years in partnerships, BD, or GTM roles with demonstrated quota or pipeline ownership - Deep domain expertise in stablecoins, payments, or fintech infrastructure - Proven track record building scaled partnership programs — not just inheriting them - Experience structuring and closing complex, multi-stakeholder strategic deals - Familiarity with crypto infrastructure, blockchain ecosystems, or enterprise crypto adoption - Comfortable operating as a founding function owner with no existing playbook - Based in or willing to be in New York

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our mission on the Connectivity team is to make Claude the most connected AI. As agents take on more real-world work, we're taking a leading role in defining how they get access to external systems — safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai , Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. We're looking for an experienced engineering leader to lead a team of Connectivity engineers based in London. The Connectivity team spans San Francisco and London, and you'll work closely with engineering leadership and partner teams in San Francisco to set direction and deliver together across both sites. You'll lead a team working on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, and proxy infrastructure that stays up when partner servers don't. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across Anthropic's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high-performing team Coach, mentor, and provide career development guidance to your direct reports, helping them set and achieve their professional goals Partner with Connectivity engineering leadership in San Francisco, along with product, security, and platform teams, to define the team's roadmap and create clarity for the team in an ambiguous and evolving environment Drive cross-team and cross-org alignment to ship work that spans claude.ai , Claude Code, Cowork, and the API, working effectively with teams primarily based in the US Establish and drive adoption of engineering best practices within your team, including the operational rigor (on-call, incident response, postmortems) required for infrastructure that other teams and external partners depend on Contribute to engineering-wide initiatives as a member of Anthropic's engineering management team Minimum qualifications Experience managing software engineering teams, including hiring, coaching, and performance management A technical background in backend or platform engineering, with the depth to guide architectural decisions and engage credibly in technical discussions Experience operating production distributed systems, with an understanding of what reliability, observability, and incident response require at scale Excellent communication skills, with the ability to build consensus across teams and time zones Demonstrated success building a culture of belonging, and of product and engineering excellence Preferred qualifications 3+ years of experience as an engineering manager Familiarity with MCP or experience contributing to open standards or open source ecosystems Experience leading teams that collaborate closely with distributed or cross-timezone partner teams Familiarity with authentication and authorization concepts such as OAuth, token management, or identity systems Experience building or operating API gateways, proxies, or multi-tenant platforms Experience building for enterprise customers, including admin controls, governance, and compliance requirements Experience working on AI/ML products or agentic systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000 — £325,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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. Role Summary We are seeking an Applied AI, Forward Deployed Engineer to build customer use cases on top of the Mistral stack. You will turn "we have agents" into "we shipped something a client uses." This role is about composing cybersecurity-related agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients. As a Forward Deployed Engineer at Mistral, you may also work on use cases outside cybersecurity, bringing the same context engineering, orchestration, and eval work to enterprise workflows in finance, manufacturing, defense, or the public sector. What You Will Do - Client-Facing Agentic Solutions - You'll individually help deploy into production use cases with considerable business impact across various industries, with cybersecurity client assignments as a priority - You'll work on state-of-the-art GenAI applications, driving a crucial technological transformation together with our customers - Tackle iconic use cases that no existing solution on the market can address - from custom configuration of cybersecurity harnesses for cloud defense, to optimizing agentic vulnerability scanning solutions, to customizing agentic red-teaming solutions or penetration testing scenarios - You'll work directly on client use cases, translating security requirements into agentic solutions - You'll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations, providing technical guidance on our products and explaining Mistral technologies to various stakeholders - You'll collaborate with our product and science teams to continuously improve our product and model capabilities based on customer feedback How We Work in Applied AI - We care about people and outputs - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care - No politics. Low ego, high standards - We embrace an unstructured environment and find joy in it About You - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end, and front-end interfaces - You have experience tackling advanced RAG, building agentic use cases, or fine-tuning LLMs - You have a deep understanding of the concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You have strong communication skills, with an ability to explain complex technical concepts in simple terms to both technical and non-technical audiences Ideally, you have: - Contributed to open-source projects, in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager - Hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems - A bias toward action and delivery - you ship fast - The ability to operate independently with a customer-led mindset - The ability to reuse internal building blocks and components effectively - Strong problem-solving abilities and attention to detail - A collaborative attitude - Pentesting knowledge - Experience developing a cybersecurity product - Experience building agentic harnesses or multi-agent systems end-to-end - A strong background in evals and benchmarking of agent systems - Experience with security tooling or workflows - Prior work on production AI systems in regulated or high-stakes environments 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 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 team member who joins our company receives stock options. - 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 team member who joins our company receives stock options. - 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 team member who joins our company receives stock options. - 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 team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: United States Workplace: Remote The Connectors team is the bridge between ClickHouse and the broader ecosystem. We build and maintain the integrations that make ClickHouse accessible to millions of developers, data practitioners, and AI agents worldwide, from high-level data visualization plugins (Tableau, PowerBI, Superset, Metabase) to connectors for data frameworks (Apache Spark, Flink, Kafka Connect, Fivetran), orchestration platforms, and AI tooling. Our work directly shapes how companies process massive datasets: real-time analytics platforms that ingest millions of events per second, observability systems that monitor global infrastructure, and, increasingly, AI-powered data applications that redefine how teams work with data. We collaborate closely with the open-source community, internal teams, and enterprise users to ensure ClickHouse integrations set the standard for performance, reliability, and developer experience. ABOUT THE ROLE As a Senior Software Engineer specializing in the AI & ML ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's AI ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use. We're looking for someone who has firsthand experience as an AI & MLEngineer or Data Scientist. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why. You'll own the full lifecycle of key AI/ML integrations, driving architecture, performance, and feature direction across AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with ClickHouse as a vector store, ML feature stores, and LLM-powered data applications. ClickHouse's columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real:  building the robust, production-ready connectors that make ClickHouse the natural choice when data practitioners design their next-generation AI and data systems. WHAT YOU'LL DO - Own and evolve ClickHouse's Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design - Drive the AI/LLM integration strategy:  designing connectors and patterns that make ClickHouse a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications - Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback - Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities - Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows ABOUT YOU - 7+ years of software development experience, including hands-on time as a Data Scientist or ML Engineer - Deep, proven experience designing, building, and maintaining production-grade Python connectors, SDKs, or integrations for at least one major platform (orchestration, BI, MLOps, or data transformation) - Hands-on experience applying AI/ML in production data-engineering contexts: embedding generation, vector search, feature pipelines, or LLM-powered tooling that shipped and ran in production - Solid experience with the Python data ecosystem: Pandas, NumPy, Pydantic, and related libraries - Strong database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases - Solid experience with concurrent Python: threading, multiprocessing, and async patterns - Outstanding written and verbal communication; comfortable collaborating across engineering functions and with open-source communities Bonus points for: - Prior experience as a Data Engineer or Data Scientist in a product-facing or platform role - Familiarity with ClickHouse or similar high-performance OLAP platforms - Familiarity with the JVM ecosystem - Experience deploying AI/ML models in production, including inference APIs and vector databases - Familiarity with tools like dbt, Airflow, Dagster, Prefect is a plus PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - 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: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a Head of Applied AI Engineering, to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The role is an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products and building complex enterprises use-cases. They work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.   In this role, you’ll lead customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalizing our research in production settings.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you - You are fluent in English and Korean native - You hold a PhD / master in AI / data science or you’re self-made - You have 10+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have a deep understanding of Cloud Infrastructure and how to deploy AI based products - You have deployed or built products with large scale user based - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLM - Experience as a Forward Deployed Engineer, Staff Engineer Machine Learning Engineer, Staff Data Scientist. - Experience founding a startup or as a founding member of a fast growing startup WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Seoul ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    What you will do - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   About you   • You are fluent in English and Korean • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 5+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager   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: San Francisco, CA or Remote, US ABOUT THE ROLE Descript is at an inflection point. We have 50M+ users, genuine product-market fit, and a real opportunity to move upmarket—converting high-fit self-serve users into consolidated enterprise contracts and going after the accounts that belong in our pipeline. As Head of Enterprise Marketing, you'll own that motion end-to-end. This is a builder role for someone who's done it before: someone who can meticulously understand what's driving inbound interest, identify which accounts to go after and why, and design the campaigns, lifecycle plays, and conversion experiments to bring them in. You'll co-own upmarket pipeline with Sales, partner with Product on the self-serve-to-enterprise conversion motion, and partner with our in-house Growth/Paid team and RevOps to make sure the whole system is instrumented and accountable. The raw materials are here—a passionate user community, a strong product, and a large market. This hire shapes what we do with them upmarket. WHAT YOU'LL DO Pipeline Strategy & Execution Co-own upmarket pipeline targets with Sales, with shared accountability for sourced and influenced pipeline Build and execute an enterprise demand playbook: ICP definition, target account selection, channel mix, offer strategy, and campaign design and execution Develop a vertical prioritization framework: define which industries and enterprise segments to pursue, in what order, and with what message Design account-based programs with messaging and experiences calibrated to high-fit accounts Own and maintain an annual marketing calendar that aligns campaign activity to business milestones, seasonal growth opportunities, and pipeline targets Source and manage contract and agency resources as needed Self-Serve to Enterprise Conversion Partner with Product and Sales to identify high-fit self-serve buyers and design conversion experiments that move them toward consolidated contracts Build lifecycle plays that nurture individual users into team and enterprise buyers Develop and iterate on the plays, offers, and sequences that convert product-qualified accounts into pipeline Performance & Measurement Meticulously track which channels, plays, and offers are driving inbound interest and conversions, and use that intelligence to sharpen programs continuously Build AI-first marketing ops and measurement frameworks that give the team real visibility into what's working Report regularly on pipeline contribution, channel efficiency, and program performance Sales & Cross-functional Partnership Partner daily with Sales on account priorities, ABM strategy, and pipeline reviews Brief and align with the in-house paid advertising team on enterprise-targeted campaigns Co-own enterprise lifecycle with RevOps, ensuring accountability is clear and programs are coordinated Own the strategy for high-touch deal acceleration programs—things like executive roundtables and leadership-level events—partnering with Field Marketing on execution Contribute to enterprise pricing and packaging strategy alongside Product and Sales, with an eye toward what moves deals forward and expands accounts WHAT YOU BRING Minimum Qualifications 8+ years of B2B marketing experience, with at least 3 years building or scaling an upmarket or enterprise demand motion Experience at a PLG or product-led company—you understand the self-serve-to-enterprise conversion motion and have driven it Consumer-to-B2B crossover experience; you know how to market to users who are also buyers Strong analytical skills and a track record of building measurement frameworks that actually get used Experience co-owning pipeline targets with Sales in an accountable, collaborative way Preferred Qualifications Deep familiarity with modern ABM tooling and CRM/MAP integration Experience building, or deeply partnering with, AI-native marketing ops and workflows Background in SaaS, media tech, or creative tooling Demonstrated ability to design and run conversion experiments across PLG funnels SUCCESS IN THIS ROLE Within your first 12 months, you will: Launch Descript's enterprise demand motion, with a defined ICP, target account list, vertical prioritization framework, and multi-channel playbook Co-own and hit upmarket pipeline targets in partnership with Sales Build upon the existing self-serve-to-enterprise conversion experiments with Product, with measurable account progression Build a measurement framework that gives the team clear visibility into channel performance, conversion rates, and pipeline attributionCreate and maintain a formal marketing calendar that the broader team runs off of Establish a functioning enterprise lifecycle program with RevOps Run at least one high-touch deal acceleration program (EBC, roundtable, or CxO event) in partnership with Field Marketing The base salary range for this role is $180k - $230k/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles.  For those who are remote, we have a handful of opportunities throughout the year for in person collaboration.  For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for a threat intel manager to build and run our CBRN-E & Advanced Weapons team within Threat Intelligence. This team detects, investigates, and disrupts attempts to misuse Anthropic's AI systems for chemical, biological, radiological, nuclear, and explosives threats and for the development of advanced or novel weapons. You will mature this from a promising start into a rigorous program, hiring investigators with real CBRN-E, weaponization, and counterproliferation expertise, sharpening detection beyond broad harm screens into threat-specific capabilities, and personally leading the cases where scientific judgment determines whether we're seeing curiosity, legitimate research, or a genuine weapons-development attempt. The area carries significant engagement with government, biosecurity, and scientific stakeholders. Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays. Key responsibilities Own strategy, priorities, and outcomes for the CBRN-E & Advanced Weapons mission area; mature it from an emerging function into a rigorous investigative program Hire, manage, and develop a team of investigators with deep domain expertise across biological, chemical, and weapons-development threat areas Personally lead investigations into attempts to use our systems to develop, enhance, or disseminate CBRN-E weapons, or advanced weapons capabilities Evolve detection from broad harm screens toward CBRN-specific signals and methodologies tailored to dual-use research concerns, in partnership with our collections engineers Set the analytic quality bar: cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported weapons programs Own escalation and enforcement decisions with policy and enforcement teams for the highest-severity misuse category we handle Lead external engagement with government agencies, biosecurity and chemical-security research communities, and scientific organizations Inform safety-by-design and capability-evaluation strategies by forecasting how threat actors will leverage frontier AI for CBRN-E purposes Serve as a liaison to government partners, educating stakeholders on AI-enabled threats through regular reporting and briefings. Minimum qualifications Are an intelligence analyst, policy expert, or researcher with deep domain expertise in biosecurity, chemical defense, weapons non-proliferation, dual-use research of concern (DURC), or related CBRN-E threat domains Have led investigative or analytic teams and are a senior domain expert with demonstrated mentorship and program-building experience ready to lead Have experience with threat actor profiling,threat intelligence analysis frameworks, and collection frameworks Have hands-on experience with large language models and how AI could be misused for CBRN-E threats Have excellent stakeholder management skills across researchers, policy experts, legal teams, government, and external partners Can present analytical work to technical and non-technical audiences, including government stakeholders and senior leadership Preferred qualifications Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or a related field Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats in the intelligence community or defense organizations Experience working with government agencies, defense/national security organizations, or in regulated environments handling sensitive CBRN-E programs, counterproliferation and threat analysis. Background in AI safety, machine learning security, or technology abuse investigation Experience building and scaling threat detection systems or abuse monitoring programs Active Top Secret security clearance The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $375,000 — $455,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paris; Munich 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 early member of our Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.    WHAT YOU WILL DO   Your scope will be as follows:   Pre-Sale & Sales Activities: • Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives • Help onboard AI Platform and model updates to strategic partner platforms • Drive enablement at scale across strategic partner technical and sales teams • Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc. • Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary. • Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.    Product Implementation & Integration: • Be the “user zero” to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams. • Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability) • Guide and support partners and customers in deploying our text completion API into their infrastructure. • Work closely with customers and partners to fine-tune models according to their specific requirements. • Regularly liaise with the product and technical teams to relay feedback and suggest improvements.   Customer & Partner Success & Support: • Collaborate with Account Executives to ensure that the customer is maximizing the product's potential. • Provide post-deployment support, addressing any issues or challenges that arise promptly. • Offer recommendations for product optimizations or new features based on customer feedback. • Develop custom features for customers as needed.   WHAT WE'RE LOOKING FOR   • Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer). • Experience partnering with large technology cloud or platform providers, sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution. • Hands-on experience in deployment AI solutions and leveraging technical skills throughout implementations • Ability to successfully drive complex interactions with tech teams and to connect with technical stakeholders • Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions • Experience building enablement assets and driving enablement or evangelism at scale • Track record of managing complex implementation projects from discovery to delivery • Experience running solution design workshops and translating business requirements into technical specifications • Strong stakeholder management skills, including experience working with C-level executives • Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences • Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience) • Nice to have: track record in managing partnerships and customer-facing interactions, creating strong relationships that align with business objectives and bring customer satisfaction • Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.  • Experience working in a constantly changing environment with multiple internal stakeholders • Demonstrated ability to collaborate with cross-functional teams • Strong written and verbal communication skills in English (fluent) and, ideally, other European languages 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: Mississauga, Ontario Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.   Overview: As a Manager of Software Engineering reporting to the Sr Manager of Engineering, you'll lead multiple Agile teams to deliver high-quality software solutions. You'll own the technical design, drive execution from concept to post-launch, and ensure alignment with business goals and engineering best practices.   Key Responsibilities: Lead and mentor cross-functional teams of developers Champion an AI-first culture, encouraging teams to rapidly innovate, experiment, and drive adoption of AI capabilities to enhance product performance and efficiency Drive end-to-end delivery of software projects using Agile methodologies Own technical design and architecture decisions in collaboration with stakeholders Ensure high-quality releases through strong process management and technical oversight Partner with product managers to align development with user needs and business priorities Continuously improve team performance, structure, and development practices Lead Operational Excellence efforts to improve our ability to support customer needs and avoid impact to patient outcomes Represent PointClickCare by developing and maintaining comprehensive knowledge of PointClickCare products, industry and technical trends, and general business and financial acumen through various sources and initiatives Communicate with customers in a compelling and articulate manner in both verbal and written conversations and presentations, demonstrating corporate core values and culture, developing professional and positive relationships with customers, and maintaining a reputation of competence, integrity and professionalism   What You Bring: Proven experience leading software development teams and delivering enterprise applications Strong background in Java, Python, Spring, SQL, and web technologies Deep understanding of Agile practices and software development life cycle Excellent leadership, communication, and problem-solving skills Ability to drive results, manage complexity, and foster a high-performance culture Leveraging AI technologies and frameworks to deliver software solutions   Qualifications: 5–10 years of software development experience with most recent experience as a Development Manager or Team Lead Solid experience with the software development life cycle (e.g., gathering requirements, analysis and design, development, release and version control, deployment management), including: Good experience with Agile development methodologies (or similar), Java SDK 1.5 or higher, and utilizing SQL (e.g., writing queries) Previous experience utilizing the following technologies/toolsets/applications: Java Web Applications, Servlets, Servlet Filters, JSP, JSTL, JDBC Spring Framework 3.x or higher, including Spring MVC Microsoft SQL Server Used HTML/CSS/JavaScript Web service platforms Utilizing Object Oriented Programming (OOP) principles Deep understanding of Enterprise Software Design Strong leadership skills – ability to lead by example, motivate others and continuously look for improvements in the work that you and your team performs Demonstrated troubleshooting and problem-solving skills Ability to collaborate with multiple internal teams and management Strong written, verbal, and interpersonal communication skills   #LI-AJ1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $152,000-174,000+ bonus + equity + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We're hiring Senior Account Executives to grow Peec across EMEA. You'll run the full sales cycle from first conversation to close, selling to SEO, marketing, and growth leaders at mid-market, enterprise & agency companies across the region. We're scaling fast and opening new markets as we go, so your territory will be shaped around where you're strongest and where the pull is greatest rather than handed to you fixed. You'll report to our Head of Sales, EMEA. WHAT YOU'LL DO - Source and close new business across your EMEA territory, owning the full cycle from discovery and demo through negotiation and close - Build your own pipeline through outbound, working alongside the SDR team on target accounts and messaging - Keep your CRM clean and your forecast honest, with a strong handle on deal progress - Build lasting relationships with your customers and spot expansion opportunities as their AI search programs grow WHAT WE'RE LOOKING FOR - 4+ years of experience in a quota-carrying software sales role - A consistent track record of overachievement against a quota of €1m+ - A self-starter who builds their own pipeline and does not wait to be fed - Sharp communication and a natural ability to tell the story of a new category simply - Based in Berlin, or ready to relocate, and excited to be in the office five days a week BONUS POINTS - Repeatedly achieving President's Club - Experience opening new markets or territories from scratch - Experience in a high-growth, venture-backed startup environment - Experience selling SEO, analytics, or martech software - Additional European languages - You already know what GEO and AEO stand for. WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Regular team events and off-sites - Paid meal and Uber home when working late - One of the most beautiful office spaces and work environments in Berlin

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. or Canada. Residents of Quebec are not eligible for this role. At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. Key responsibilities: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What we're looking for: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Requirements: Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Nice to have: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. In Canada, the Base compensation range for this role is CAD $ 164,490 - $197,389 . Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .