Datology AI

Designer

Redwood City

Sponsorship not specified$180k-$250kDetected 62 days ago

Data EngineeringFigmaWireframingDesign SystemsMotion DesignEmail MarketingVideo ProductionResearchLeadershipCommunication

About the role

This is a high-ownership, low-bureaucracy environment.
You will work directly with leadership and have a real say in how DatologyAI looks and feels externally.

Responsibilities

Design marketing assets including social content, one-pagers, decks, email campaigns, and event materials
Create branded swag and physical assets (stickers, merch, conference collateral)
Maintain and evolve brand guidelines as the company grows
Partner with GTM and leadership to produce compelling, on-brand visual content
Design reusable components that scale across our digital interfaces
Support the team with interaction design, wireframes, or visual polish when needed
Collaborate cross-functionally to ensure design consistency across touchpoints
3 - 6 years of design experience, with a strong portfolio spanning marketing and brand work

Requirements

Proficiency in Figma

Nice to have

Background in developer tools, AI, or data infrastructure
Starting pay is based on job-related skills, experience, qualifications, and interview performance.
401(k) plan with a generous 4% company match.
Daily lunches and snacks are provided in our office!
Relocation assistance for employees moving to the Bay Area.
Strong illustration and animation skills, with an eye for how motion and interaction bring a brand to life
Strong visual instincts and attention to detail, with the ability to move quickly without sacrificing quality
Self-directed and comfortable with ambiguity

Compensation

Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Benefits

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

Company info

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.
For more details, check out our recent research on synthetic data scaling (BeyondWeb https://www.datologyai.com/blog/beyondweb) and pretraining with domain-specific data (The Finetuner's Fallacy https://www.datologyai.com/blog/finetuners-fallacy).
We raised a total of $57.5M in two rounds, a Seed and Series A.
This role is based in Redwood City, CA.
We are in office 4 days a week.
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.
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.

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This listing is sourced directly from Datology AI's careers page and normalized into a canonical job model.