Product Designer

Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.

At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (BeyondWeb) and pretraining with domain-specific data (The Finetuner’s Fallacy).

We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models. Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.

This role is based in Redwood City, CA. We are in office 4 days a week.

You'll shape the way users experience our platform from the ground up.

Our users are ML engineers and researchers, and the workflows they run are long, expensive, and technically dense. Your job is to make those systems legible: designing the configuration surfaces, telemetry, and visualizations that let an engineer parameterize a curation pipeline, inspect its behavior at runtime, and evaluate the quality of the dataset it produces.

This role asks for high visual craft, and the ability to take a genuinely complex feature and define a design for it that feels obvious. You'll own the visual quality of what lands in production and partner closely with engineers to get it there. You'll work with leadership, engineering, research, and customers, with a rare opportunity to influence product direction at an early stage.

• Create and design key user-facing features and components of our data curation platform end to end, from concept to production

• Define the design principles for an enterprise platform, and set the bar for clarity and confidence in workflows where the stakes are high

• Establish and evolve an intuitive, scalable design system, style guide, and illustration language so the product scales consistently

• Deliver high quality assets—icons, illustrations, and motion—that hold up across the product

• Create wireframes, prototypes, and high-fidelity designs that balance user needs with real technical constraints

• Conduct user research, usability testing, and analysis to understand pain points and validate design solutions

• Collaborate with engineering and research teams to define both long-term strategy and short-term deliverables

• Help establish our design culture as an early design team member

• 100% covered health benefits (medical, vision, and dental).

• 401(k) plan with a generous 4% company match.

• Unlimited PTO policy

• Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.

• Annual $2,000 wellness stipend.

• Annual $1,000 learning and development stipend.

• Daily lunches and snacks are provided in our office!

• Relocation assistance for employees moving to the Bay Area.