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Eventual is a data infrastructure company building Daft, a distributed data engine purpose-built for multimodal AI. The company is solving a critical bottleneck in Physical AI development: today's data platforms (Databricks, Snowflake) were designed for spreadsheet analytics, not the petabytes of video, lidar, radar, and sensor data that train humanoid robots, autonomous vehicles, and video generation models. As a result, robotics and AI teams spend most of their iteration cycle finding and curating the right data rather than training models.
Founded in 2022 and backed by $30M from top-tier investors (Felicis, CRV, Microsoft M12, Citi, Y Combinator), Eventual is building a video-native index and product surface that collapses the data iteration loop for Physical AI researchers. The company has assembled a world-class team from AWS, Render, Pinecone, and Tesla, with deep expertise in self-driving and AI infrastructure.
As a Fullstack Software Engineer on the Product team, you will own the product interface that researchers actually use every day. You'll design and build the UI for exploring, querying, and curating multimodal datasets—including video playback, clip-level annotation, and visualizations over corpus composition. You'll also design and build the APIs that drive the UI and that customers integrate into their own training stacks and notebooks.
Key responsibilities include: designing the product UI for multimodal data exploration with video playback and annotation; building backend APIs for UI and customer integration; creating analytics to help researchers understand dataset composition, distributions, and training-job provenance; collaborating closely with the Visual Understanding, Dataloading, and Storage teams to keep the product surface fast and thin; sitting with researchers at design-partner labs to gather requirements and ship features in days; and writing high-quality, maintainable code with deliberate tech-debt management.
You should have fullstack engineering experience across web applications, developer-facing products, or data products, with a proven track record of shipping core features with strong user obsession. You need comfort with the full stack: modern frontend frameworks, backend services, APIs, and cloud infrastructure (AWS S3, etc.). Experience taking products from zero to production and the judgment to balance velocity with extensibility is essential. A bias toward shipping—getting a flawed v1 in front of users today rather than speccing a perfect v2 for next month—is critical.
Nice-to-have skills include experience building UIs over data (analytics dashboards, query builders, notebook environments), working with video/image/multimodal content in the browser, background in developer-facing or technical products for ML/AI/data engineering audiences, comfort with Python on the backend (the platform uses Python/Rust), and prior experience collaborating closely with research or technical end users.
The team works 4 days/week in-person in the SF Mission district office. The company offers competitive compensation, meaningful startup equity, catered lunches and dinners, commuter benefits, team-building events, health/vision/dental coverage, flexible PTO, latest Apple equipment, and a 401(k) plan with match.
