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.
We're hiring a Field Marketing Manager to own every event we run! Conferences, leadership's speaking engagements, executive dinners, dinners and events with our investors, webinars, and whatever comes next.
This is a huge ownership role. You'll take an event from a line on the calendar to a flawless day-of experience: sourcing the venue, wrangling vendors, managing the budget, building the run of show, handling registration and logistics, and running the follow-up.
We have a lot in flight, the playbook is being written, and we need someone who can bring order to it and be trusted to run with it!
Conferences and field events. Own our presence end to end: booth, venue, swag, signage, vendors, shipping, staffing, lead capture, and post-event recaps. You handle the logistics so the team can focus on the people they're there to meet.
Leadership's speaking engagements. Source and secure the right speaking opportunities, manage submissions and confirmations, coordinate travel and prep, and run point on-site.
Executive dinners. Plan and run our executive dinners. Find and book the venue, build the guest list with sales and the founders, handle every logistic, execute the night, and drive the follow-up afterward.
Investor dinners and events. Partner with our investors to plan and run co-hosted dinners and events, coordinating across their teams and ours so these come together smoothly and reflect well on everyone involved.
Webinars. Own webinars end to end: platform and setup, run of show, speaker prep, registration, promotion in coordination with the content and social team, live production, and follow-up.
Vendors and budget. Source, negotiate with, and manage vendors, and own event budgets.
Cross-functional coordination. Keep sales, the founders, and leadership aligned on what's happening, when, and what's needed from them, with clear timelines and a single source of truth everyone can rely on.
Measurement and reporting. Track attendance, engagement, pipeline, and ROI across events, and report on what's working so we invest in the events that actually move the business.
3–6 years of field marketing, event marketing, or event production experience, ideally at a B2B technical company such as developer tools, AI infrastructure, data infrastructure, or similar
A proven track record owning events end to end, from sourcing and logistics through day-of execution and follow-up, without needing to be managed through it
Early-stage startup experience; you know what it's like to build the playbook as you execute it
Exceptional project management and organization; you run multiple events in parallel with overlapping timelines and never drop a ball
Detail-oriented in a way that's load-bearing for everyone around you, because the details are what make an event feel effortless
Comfortable interacting directly with founders, executives, investors, and senior guests, with the polish and judgment those rooms require
Strong vendor management and negotiation skills, and comfort owning a budget
Willing to travel for events
Nice to have
Experience running executive or investor dinners and other high-touch, small-format events
A network of venues, vendors, and event partners in the Bay Area and at major industry conferences
Familiarity with webinar and event platforms, registration tooling, and lead capture
Experience running events at a startup or as part of a small, fast-moving marketing team
Don't meet every single requirement? We still encourage you to apply. If you're excited about our mission and eager to learn, we want to hear from you!
At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary range for this position is $170,000 to $230,000
The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.
Benefits:
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.
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.
