Product Designer at Eventual (W22) Building the AI data engine for any modality and scale San Francisco Full-time US citizen/visa only About Eventual About Eventual Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With backing from Y Combinator, Caffeinated Capital, Array .vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started. Please note we are looking for someone who is willing and able to come into our San Francisco office in the Mission district 4 days / week. If that sounds like you, please reach out even if you don't see a specific role listed that matches your skillsets - we'd love to chat! About the role About Eventual Every breakthrough AI application, from foundation models to autonomous vehicles, relies on processing massive volumes of images, video, and complex data. But today’s data platforms (like Databricks and Snowflake) are built on top of tools made for spreadsheet-like analytics, not the petabytes of multimodal data that power AI. As a result, teams waste months on brittle infrastructure instead of conducting research and building their core product. Eventual was founded in 2022 to solve this. Our mission is to make querying any kind of data, images, video, audio, text, as intuitive as working with tables, and powerful enough to scale to production workloads. Our open-source engine, Daft, is purpose-built for real-world AI systems: coordinating with external APIs, managing GPU clusters, and handling failures that traditional engines can’t. Daft already powers critical workloads at companies like Amazon, Mobileye, Together AI, and CloudKitchens. We’ve assembled a world-class team from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and more, quadrupling our size within a year. With Series A and seed funding from Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and top angels from the co-founders of Databricks and Perplexity, we’re looking to double the team now. Join us—Eventual is just getting started. Please note we're looking for individuals who are excited to be a part of a tight-knit team working together 4 days / week in our SF Mission district office. Your Role We're looking to bring on a designer to lead product design for our core product. As a startup, we have a wide product surface area, covering core managed product, open source dashboards, web design, and more. You’ll work with a tight-knit team that values open communication and cross-functional collaboration. Key Responsibilities Rapidly iterate on designs based on user feedback Design highly intuitive products and features for complex workflows Contribute strategic thinking to product features and roadmap Own the overall user experience for a wide product area. Collaborate closely with leadership and customer-facing teams to learn about our users and to brainstorm, define, and implement new features and offerings What We Look For 3-5 years of experience, preferably at a SaaS or data infrastructure company Experience shipping at least one full product or a significant feature as the lead designer Experience iterating with engineers and other team members on both visual and UX designs to get the experience and details just right Great presentation, collaboration and communication skills Empathetic champion for your work’s audience and customers Fluency in Figma and prototyping tools Understanding of the technical limitations and workflow for building web interfaces (CSS/HTML/JS) and native mobile apps (Swift, Kotlin/Java) Perks & Benefits In-person tight knit team with 4x a week in office Competitive comp and startup equity Catered lunches and dinners for SF employees Commuter benefit Team building events & poker nights Health, vision, and dental coverage Flexible PTO Latest Apple equipment 401k plan with match! Technology Our stack is a mix of Python and Rust. We integrate closely with distributed systems such as Ray and storage engines such as Apache Iceberg and AWS S3. Examples of domains that we work in include: Databases: Daft employs modern query planning and optimizations for efficient execution of distributed workloads Enterprise Big Data: Daft integrates with data lake technologies such as Apache Iceberg and Hive, with record-setting I/O throughputs to these storage formats Low-Level System Programming: The execution core of Daft is written in Rust for memory-efficient data processing