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 for RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage with the open-source community, collaborate with Product and Cloud, and advocate for users to shape the roadmap
Own the roadmap for agentic analytics products from discovery to launch.
Conduct customer discovery with developers and data engineers to prioritize features.
Monitor competitive landscape and partner with marketing on go-to-market strategy.
ClickHouse develops the fastest-growing database in the OLAP space, integrating AI/ML capabilities for data analytics. The company is a globally distributed, remote-friendly startup with a focus on high ownership and collaboration.
Define and drive the product roadmap for ClickHouse Cloud, focusing on cloud-native database capabilities.
Collaborate with engineering to prioritize and deliver improvements to the core database engine and storage layer.
Engage directly with customers and cross-functional teams, defining KPIs and guiding product decisions.
ClickHouse develops an open-source columnar database and offers ClickHouse Cloud, a cloud-native database service. They are a rapidly scaling startup with a globally distributed, remote-friendly team operating in over 25 countries.
Translate complex business and technical requirements into scalable solution designs.
Work directly with stakeholders from C-suite to developers to enable customer success.
Evangelize ClickHouse’s vision and capabilities to drive adoption and secure strategic commitments.
ClickHouse provides a real-time analytics database for cloud-native applications. We are a rapidly scaling startup with a globally distributed team of over 25 countries, fostering a culture of innovation and flexibility.
Design, build, and deploy LLM-powered product features, including lab summaries and conversational agents.
Build backend services integrating LLMs and ML models, primarily using Python with exposure to Elixir.
Implement evaluation, monitoring, and CI/CD workflows for AI features, ensuring reliability and clinical relevance.
Fullscript is a health technology platform that helps practitioners deliver better care through clinical insights, lab interpretations, and patient analytics. With over 125,000 practitioners and 10 million patients, the company emphasizes a people-first culture, teamwork, and continuous learning in a remote-first environment.
Design and maintain scalable data pipelines and warehouse models, applying GenAI/LLM techniques to enhance data accessibility.
Leverage GenAI coding tools to improve code quality, testing, and delivery speed, while evaluating new technologies.
Establish standards for SQL development, data modeling, and production support, with on-call rotation for incident response.
Firstup is the world's first intelligent communication platform, improving employee experience at every moment that matters. Serving 40 of the Fortune 100 companies and reaching 17 million employees daily, the company fosters a high-growth, inclusive environment where ideas are rewarded.
Write and ship production AI code daily as an active contributor.
Build the retrieval, graph, and inference layers on top of our data platform.
Set patterns other teams build against and turn company goals into shipped systems.
Acquia empowers brands to create digital customer experiences using its Drupal-based Digital Experience Platform. It is a Great Place to Work-Certified company with thousands of global organizations as clients.
Architect and build robust, scalable data schemas and storage solutions optimized for high-performance AI workloads.
Optimize storage formats and database queries to drive performance and efficiency across massive biological datasets.
Design clean, typed, well-documented APIs for researchers, engineers, and AI agents to query and extend the platform.
Bioptimus is building the first universal AI foundation model for biology to fuel breakthrough discoveries in biomedicine. With over $75M in funding and a world-class team of scientists and engineers, the fast-growing Paris-based startup is redefining the frontiers of AI and life sciences.
Collaborate with engineering teams to design and implement scalable, secure, and highly available systems for ClickHouse.
Establish and manage SLOs and SLAs for ClickHouse Cloud, ensuring monitoring and alerting are in place for all infrastructure.
Lead incident response, blameless postmortems, and chaos initiatives to continuously improve reliability and performance.
ClickHouse develops an open-source column-oriented database management system and offers a cloud database service. The company is a rapidly scaling, globally distributed startup with employees in over 25 countries, offering a flexible and collaborative culture.
Designing and building scalable data pipelines that power AI models, machine learning workflows, and intelligent product capabilities.
Owning the reliability, performance, and operational excellence of production data platforms.
Developing ETL/ELT solutions using Python, SQL, AWS, and modern cloud-based data technologies.
Ideagen provides software solutions that improve safety and quality across aviation, food, and healthcare industries. With offices globally, the company values work-life balance and fosters a culture of innovation, leveraging AI to work smarter.
Design and build scalable inference pipelines running on large GPU clusters for synthetic data generation.
Conduct data ablations and experiments to enhance model performance and data quality.
Research and implement innovative synthetic data curation methods using Cohere's infrastructure.
Cohere is a leading security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products for enterprises. They are a global team of researchers, engineers, and designers with offices in Toronto, London, New York, San Francisco, Montreal, Paris, Berlin, and Seoul.
Develop deep understanding of customer problems and map them to Cohere solutions as a trusted technical advisor.
Lead design and deployment of customer pilots, owning the technical narrative from discovery to business case.
Collaborate with Product and Engineering teams and partners to scale solutions and gather customer feedback.
Cohere is a leading security-first enterprise AI company building cutting-edge foundation AI models and products for real-world business problems. It is a global team of researchers, engineers, and designers headquartered in Toronto with offices worldwide, committed to driving AI adoption.
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Matillion is the company behind Maia, an AI Data Automation platform used by Cisco, DocuSign, and Slack. They started in Manchester and now have global teams across the UK, US, and India, with a driven, curious, and energetic culture.
Drive data and analytics products end-to-end, from data models to user-facing dashboards.
Build AI and LLM-powered workflows that accelerate data transformation, analysis, and app development.
Own complex data systems and partner with stakeholders to deliver insights that improve healthcare decisions.
Prompt delivers highly automated, modern B2B enterprise software to rehab therapy businesses, their teams, and the patients they serve. It is a mission-driven startup built by talented, proven people who value smart work, ownership, and positive impact.
Design, build, and operate LLM-powered applications and services over catalog, sales, and operational data.
Stand up and maintain MCP servers and tool integrations that connect AI models to internal systems.
Own services end-to-end, evaluate emerging AI tooling, and raise the team's AI engineering capability.
Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. We are committed to quality, excellence, and innovation throughout the entire publishing process, with a vibrant and diverse international community of nearly 300 publishing brands and imprints.
Build and enhance test automation frameworks and develop automated test cases.
Try out new features and ensure they land smoothly in Production.
Implement new testing strategies and automation for large and complex distributed systems.
ClickHouse develops the open-source ClickHouse database and provides a cloud service offering. It is a globally distributed, rapidly scaling startup operating in over 25 countries with a remote-friendly culture.
Build and extend scalable data pipelines to move analytics off production PostgreSQL into a modern warehouse.
Develop shared dbt models, metrics, and semantic layers that keep definitions consistent across products.
Safeguard data quality with tests, freshness checks, alerts, and traceable lineage from source to drone imagery.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows and improve supply chain performance. We're a fast-moving robotics startup with a collaborative, remote-first culture and a focus on shipping transformative technology.
Develop and optimize data processing and analytics solutions using Python and Databricks.
Manage relational databases (Oracle Exadata) and non-relational S3-based systems.
Design and optimize data consolidation and transformation processes for large-scale information.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants across 21 countries and a turnover of €850M, we deliver impactful, future-ready solutions.
Design, build, and ship AI-powered features end-to-end, from prototype to production.
Work hands-on with LLMs, embeddings, RAG, and related tooling to solve real product problems.
Own architecture and technical decisions, balancing quality, cost, and latency across the stack.
Usersnap builds AI-driven capabilities into its product, from automated setup to intelligent surveys and self-generating reporting. It is part of saas.group, a fully remote portfolio of 25 B2B SaaS brands with nearly 380 colleagues in 50+ countries and a high-trust culture.
Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
Develop forecasting and optimization solutions to support complex business and operational decisions.
Apply experimentation and causal inference techniques, and explore Generative AI where applicable.
Coderio designs and delivers scalable digital solutions for global companies. They are a remote-first company with a collaborative international team focused on technical excellence and career growth.
Provide technical support and troubleshooting for customers using RelationalAI's platform, ensuring a great customer experience.
Collaborate with Sales, Field Engineering, and Product Engineering to resolve customer issues and improve the product.
Leverage AI agents and technical skills (Python, SQL, database technologies) to accelerate troubleshooting and optimize customer code.
RelationalAI solves one of the most important challenges in AI: teaching large language models the logic, semantics, and business context of the modern enterprise. They are a globally distributed team of engineers, scientists, and builders who value transparency, inclusivity, curiosity, and impact.