--- title: 'Member of Engineering (Data & Analytics) at Poolside' canonical: 'https://feeny.ai/job/member-of-engineering-data-analytics-poolside-emea-east-coast-united-states-7pjs2kaqq6ed' type: 'job' last_seen: '2026-09-09' --- # Member of Engineering (Data & Analytics) at Poolside - **Company:** Poolside - **Location:** EMEA / East Coast, United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-07-27 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.ashbyhq.com/poolside/5d8b4edb-7e50-4b54-b847-ef8c28dced1f ## Job description ## ABOUT POOLSIDE In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. ## ABOUT OUR TEAM We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. ## ABOUT THE ROLE You will work on the Model Factory, building the data and analytics systems underneath it such as our agent trajectory store, experiment configuration registry, experiment metrics, and others. In this role, you will engage directly with researchers to understand their experiments and workflows so you can improve our data and analytics. Since training efficiency is a function of how quickly we learn and draw insights from each run, your work will directly accelerate Poolside's ability to develop models. The work on this team will be a mix of greenfield projects as well as extending existing systems to support larger scale, higher reliability, and more demanding performance requirements. If you are excited to own foundational systems, build at scale, and work alongside researchers to push the frontier of model capabilities, this is the role for you. ## YOUR MISSION To deliver reliable, performant, and intuitive data and analytics tools and platforms to accelerate model research. ## RESPONSIBILITIES - Design, build, and operate the data and analytics systems of our Model Factory https://poolside.ai/research - Own the entire data lifecycle of experiment data including modelling, ingestion, retrieval, query, analysis, and retention - Partner closely with researchers to understand their workflows and ensure we're guided by their data and analytics needs ## SKILLS & EXPERIENCE - Strong programming skills in Go, Python, or other similar languages - Proven experience building and operating distributed systems at scale, with a strong understanding of consistency models, queue/stream processing and data pipelines - Production experience with Kubernetes, cloud infrastructure, observability systems - Ability to lead ambiguous and cross-functional initiatives, building alignment and driving progress - Nice to haves: experience working OLAP databases, timeseries databases, high cardinality datasets, understanding of ML research workflows ## PROCESS - Intro call with a member of the team - Technical interview(s) with one of our Members of Engineering - Team fit call the People Team - Final interview with one of our Founding Engineers ## BENEFITS - Fully remote work & flexible hours - 37 days/year of vacation & holidays - Health insurance allowance for you & dependents - 16 weeks of flexible, full-pay parental leave - Well-being, always-be-learning & home office allowances - Company-provided equipment - Frequent team get togethers - Diverse & inclusive people-first culture ## About Poolside ## Company Overview - **One-liner**: Poolside builds frontier AI foundation models and agentic systems for enterprise software engineering, deployed entirely within customer infrastructure. - **Entity Type**: Private (Series B, $626M total funding) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Jason Warner (CEO & Co-founder), Eiso Kant (Co-CEO & Co-founder, CTO) ## Core Business - **Primary industry/industries**: Artificial intelligence, enterprise software development - **Target customers**: Large enterprises, government agencies, and organizations with complex, high-consequence software environments (multi-cloud, legacy systems, air-gapped networks) - **Mission or purpose statement**: “For artificial general intelligence to drive abundance for humanity” – starting with software engineering as the strategic beachhead. ## Products & Services - **Poolside Assistant**: Agent-based code assistance integrated into VS Code, Visual Studio, or any IDE supporting the Agent Client Protocol (ACP). Capable of planning, refactoring, testing, and incident analysis within the developer’s environment. - **Poolside Chat**: Browser-based chat interface for code-related questions and agent interactions outside the IDE. - **Poolside Agent CLI (`pool`)**: Command-line tool to run and manage agents in headless environments (CI/CD pipelines, automation workflows). - **Poolside Console**: Browser-based administrative interface for governance, metrics, and system management. - **APIs**: Programmatic access to integrate Poolside models, agents, and knowledge connectors into custom tools and automation. - **Foundation Models**: Custom models trained using reinforcement learning from code execution feedback, optimized for long-horizon software tasks. - **Data & Knowledge Connectors**: Integration with repositories, databases, data warehouses, and private corpora within strict security boundaries. - **Forward Deployed Research Engineers (FDRE)**: Embedded experts who help customers design, build, and operate AI systems on-site. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed - **Key Metric**: Total funding $626 million as of October 2024, including a $500M Series B led by 19 investors [poolside.ai](https://www.poolside.ai/) - **Notable Investors/Partners**: Series A led by Felicis, Xavier Niel, and others; Series B participants include 19 investors. Seed round led by Redpoint. [linkedin.com](https://www.linkedin.com/company/poolsideai) - **Growth Signals**: Headcount grew 89.1% year-over-year to 165 employees; 19 active job postings (up 171% year-over-year). Operates across 20 countries. [linkedin.com](https://www.linkedin.com/company/poolsideai) ## Competitive Advantages - **Security-first deployment**: Models run entirely within the customer’s VPC or on-premises, ensuring code and data never leave the customer’s control. Role-based access control for humans and agents by default. [poolside.ai](https://www.poolside.ai/) - **Enterprise governance**: Auditability, policy enforcement, and traceability aligned to enterprise review boards and CISO requirements. - **Outcome ownership model**: Poolside takes joint responsibility for adoption and business impact, rather than simply handing off models. - **Specialization in high-consequence software**: Battle-tested in the toughest environments (defense, regulated industries), with a focus on long-horizon reasoning and multi-step planning. ## Strategic Focus - **AGI through software**: The company believes the fastest path to human-level intelligence runs through mastering software engineering, then expanding to other domains. - **Agentic organizations**: Helping enterprises become “agentic organizations” by embedding AI agents across the development lifecycle. - **Continued model scaling**: Investing in foundation model research (pre-training, post-training, reinforcement learning) and infrastructure. - **Global talent acquisition**: Growing a distributed workforce with hubs in the US, UK, France, Netherlands, and other European countries. ## Why Work Here - **High employee satisfaction**: 5.0/5.0 rating on LinkedIn (based on 1 review) across work-life balance, compensation, culture, and career growth. [linkedin.com](https://www.linkedin.com/company/poolsideai) - **Cutting-edge research**: Work alongside world-class talent at a frontier AI lab, solving the hardest problems in software engineering. - **Hybrid/remote flexibility**: The company operates across 20 countries, suggesting a distributed-first approach with regional hubs. - **Growth trajectory**: 89% headcount growth in the past year, with active hiring across engineering (agent harness, pre-training, reinforcement learning, design engineering) and support engineering roles. - **Impactful mission**: Directly contribute to the development of AGI for abundance, starting with transformative enterprise software. ## Sources 1. [poolside.ai](https://www.poolside.ai/) 2. [linkedin.com](https://www.linkedin.com/company/poolsideai) 3. [docs.poolside.ai](https://docs.poolside.ai/get-started/overview) 4. 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