Waabi
Senior Product Designer, Autonomy Data & Tooling
San Francisco, CA · Posted Sep 3, 2026
About the role
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai We're seeking a Senior Product Designer to own the human-in-the-loop workflows at the core of how Waabi turns raw driving data into a safer autonomy stack: the software environments where expert human judgment and automation work as one to make every engineer, analyst, operator, and researcher faster. These are the workflows where a human expert and an automated system have to move together: data labeling, map annotation, track testing, and release testing. Your job is to design the environments that make that collaboration fast and high-signal, and then bring shared patterns into the design system for compounding returns across every internal and partner-facing surface. You'll join as the third product designer at Waabi, sitting on the Product, Design & TPM team. You'll be the systems-minded builder who turns one-off UI work into compounding returns across the whole platform. You will… Design data labeling and annotation workflows. You'll design the tools for data curation, internal lightweight labeling, QA, and the feedback loops that connect label quality to model performance. Today this work lives in many surfaces, and your goal will be to unify the workflows to accelerate training data throughput and quality, to continually improve autonomy safety at scale. Design data discovery surfaces and annotation tools. Grow the primary tools for finding, filtering, and curating AV data across logs, events, simulations, and labels. You'll help design the experience that lets triage analysts, systems engineers, autonomy engineers, and ML researchers navigate petabytes of driving and simulated data. You'll also own the design for our map annotation tooling: task management, branch/merge workflows, annotator feedback loops, defect logging, and urban surface street annotation as Waabi expands from highway trucking to urban robotaxi deployments. Ground the work in research. Get out of the tools and into the workflows. Shadow labelers, annotators, triage analysts, and right-seaters in their real environment. Produce qualitative and quantitative insight on where time and signal are lost, and disseminate it so the whole team designs from the same picture of the user. Build and scale Waabi's design system. Work with designers and full-stack engineers to take our nascent system and turn it into a robust, branded component system. This means complex, reusable components: timeline scrubbers, rich multi-select filters, pass/fail summary cards, map visualization primitives, data tables with inline actions. These components serve triage, metrics dashboards, data exploration, mapping, fleet ops, and partner-facing UI. Establish front-end and design infrastructure for tooling self-service. Build the context architecture that lets teams build their own UI with UX best practices baked in. Enable robust prototyping with read-only or snapshot data so teams can iterate without touching production. Ship directly in code. You'll contribute to production React codebases using AI-assisted tools. The shipped product is the deliverable, not a Figma handoff. Qualifications Data-centric workflow designer who builds in code. 5-8+ years designing complex, data-rich tools where the primary interface is structured data: tables, filters, search, dashboards, maps, or annotation tools. You see the cross-tool workflow as your unit of work, not the single screen. You can make dense information scannabl
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