Marketing Leader

Reposted 20 Days Ago
Be an Early Applicant
Redwood City, CA, USA
In-Office
190K-230K Annually
Senior level
Artificial Intelligence • Software
The Role
You'll build marketing strategies, produce technical content, promote the company narrative, manage events, and enhance brand visibility. Requires expertise in ML.
Summary Generated by Built In
About the Company

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 blog posts sharing our high-level results for text models and image-text models.

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.

What You’ll Work On

  • Build and lead the marketing function from the ground up, defining strategy, operating cadence, and priorities.

  • Start hands-on as an IC while rapidly building and scaling a high-impact team.

  • Own and evolve the company narrative around data quality as a compute multiplier and data-first model optimization.

  • Produce and oversee high-quality technical and product marketing content for a deeply technical audience.

  • Partner cross-functionally to translate product updates, benchmarks, and customer outcomes into proof points and ROI-driven marketing.

  • Define competitive positioning and equip sales with clear, effective enablement materials.

  • Own events and social channels as focused, high-signal drivers of brand credibility and engagement.

About You

  • 7+ years of marketing experience in technical products, ideally in ML, AI, or deep infrastructure.

  • Proven experience taking complex technical products to market across diverse audiences.

  • Proven ability to build a marketing function from scratch.

  • Comfortable being hands-on early while thinking like a leader.

  • Strong storyteller with technical depth.

  • Highly cross-functional, decisive, and biased toward action.

We offer a comprehensive benefits package to support our employees' well-being and professional growth:

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

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

  • Unlimited PTO policy

  • 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.

Top Skills

AI
Data Curation
Machine Learning
Technical Writing
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The Company
HQ: Redwood City, California
24 Employees
Year Founded: 2023

What We Do

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.

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