---
title: 'Content Marketing Manager at DatologyAI'
canonical: 'https://feeny.ai/job/content-marketing-manager-datologyai-san-mateo-knnrrtw00qdj'
type: 'job'
last_seen: '2026-09-05'
---

# Content Marketing Manager at DatologyAI

- **Company:** DatologyAI
- **Location:** San Mateo, CA
- **Employment:** full-time
- **Posted:** 2026-06-22
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/datologyai/bccd57a3-6aa4-4421-a340-d27293d78928

## Job description

## 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 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. 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 San Mateo, CA. We are in office 4 days a week.

## ABOUT THE ROLE

As our Content Marketing Manager, you'll run our content flow under the direction of our VP of Marketing. You'll own the content calendar, pull content together with the VP, our agency, and our research team, and make sure it ships at volume.

This is a hands-on creation, production, and coordination role. You're the person who turns a pipeline of ideas and research into a steady stream of published work, and who keeps everyone aligned on what's shipping, when, and in what shape. You'll build the operating rhythm as you run it. We have a lot in flight and a lot worth saying, and we need someone who can bring order to it and keep the work moving!

## WHAT YOU'LL WORK ON

- Content calendar and operating rhythm. Own a rolling content calendar that tracks each piece, its owner, its date, and its status, and keep everyone on schedule against publish dates.
- Content creation. Write and edit clear, credible content across formats, including blog posts, briefs, social copy, and newsletters. Produce strong first drafts of your own and polish others' work to a publishable bar.
- Content production. Turn research and ideas into finished pieces. Run the production pipeline end to end, moving drafts through editing, design, and review so nothing stalls.
- Coordination cross-functionally. Pull content together across everyone involved. Brief and manage our agency, partner with the research team to translate their work for broader audiences, and keep the VP's priorities moving through the pipeline.
- Shipping at volume. Keep a high, consistent cadence of published content without letting quality slip. You're the reason the content engine keeps producing.
- Repurposing and distribution. Reuse and adapt content across channels and formats, and partner with our social lead to get each piece in front of the right audience.
- Blog and website. Publish to the blog, manage the publishing process, and make website updates, including copy changes and media asset updates.
- Notion teamspace. Keep our marketing teamspace current so everyone can rely on it as the single source of truth for content status, timelines, and deliverables.
- Measurement and reporting. Track how content is performing on reach and engagement, and report on it so we can double down on what works.

## ABOUT YOU

- 3–6 years of B2B marketing or content experience, ideally at a technical company working on developer tools, AI infrastructure, data infrastructure, or similar
- A strong writer with clean prose, even on technical topics, who can produce competent first drafts that don't need rewriting
- Proven content production; you've owned a content calendar and shipped at volume without letting quality slip
- Strong project management instinct; comfortable running multiple pieces and workstreams in parallel without dropping balls
- Experience coordinating across stakeholders, including agencies and subject-matter experts such as a research team
- Self-starter mentality so you can take an objective, build a plan, and run with it without waiting for direction
- Curious about AI and ML. You don't need to be a researcher, but you should be able to engage credibly with our research team and translate their work for broader audiences
- Comfortable in Notion, Slack, and modern marketing and content tooling

## Nice to Have

- Experience managing a content agency or external creators
- Familiarity with AI-driven content workflows and modern publishing automation
- Experience supporting founder-led or executive content programs
- A track record of running technical product or research launches end to end
- Experience producing across formats, including video, graphics, and long-form

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!

## COMPENSATION

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $130,000 to $175,000.

- 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.

## About DatologyAI

## Company Overview
- **One-liner**: DatologyAI provides an automated platform that curates training data for deep learning models, helping companies train better AI models faster and more cost-effectively.
- **Entity Type**: Private (Series A)
- **Headquarters**: Redwood City, California, United States
- **Founded**: 2023
- **Founders**: Ari Morcos (CEO), Bogdan Gaza (CTO), Matthew Leavitt

## Core Business
- **Primary industry/industries**: Artificial intelligence, Machine learning infrastructure, Data curation
- **Target customers**: B2B — Enterprises and AI teams training large-scale deep learning models across verticals
- **Mission or purpose statement**: "Democratize AI data curation, allowing every company to easily train its own custom model on the right data without needing to invest massive resources." [datologyai.com](https://www.datologyai.com/about)

## Products & Services
- **DatologyAI Platform**: A fully automated, scalable data curation platform that identifies redundant, noisy, or harmful data points in training datasets. It integrates with existing infrastructure (from blob storage to dataloader), is modality-agnostic (works for text, images, etc.), and requires no labels. The goal is to optimize training efficiency, maximize model performance, and reduce compute costs. [datologyai.com](https://www.datologyai.com/about)

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding of $57.65M [cbinsights.com](https://www.cbinsights.com/company/datologyai)
- **Notable Investors/Partners**: M12 (Microsoft’s venture fund), Amplify Partners, Amazon Alexa Fund [datologyai.com](https://www.datologyai.com/about)
- **Growth Signals**: Founded in 2023 and already raised $57.65M (including a $46M Series A in 2024); backed by top-tier investors; founded by researchers with backgrounds at DeepMind, Meta AI (FAIR), and MosaicML (acquired by Databricks); cutting-edge research (80% novel and unpublished) directly powers the product.

## Competitive Advantages
- **Research-driven product**: The platform is built on frontier research in data curation for deep learning, with the team publishing novel techniques at top conferences (NeurIPS, ICLR).
- **Modality-agnostic & label-free**: Works across data types and doesn’t require labeled data, making it applicable to a wide range of use cases.
- **Deep technical team**: Founders bring expertise from leading AI labs (DeepMind, Meta AI, MosaicML) and large-scale infrastructure experience (Amazon, Twitter).
- **Customer-obsessed and scalable**: Designed to be easy to implement and generalize across models, directly reducing compute costs for customers.

## Strategic Focus
- **Product & research**: Continue to push the boundaries of data curation research and deploy it directly into the product to improve model efficiency and capability.
- **Customer success**: Deeply focus on customer problems and goals to drive adoption and success.
- **Scaling the team**: Actively hiring across engineering, research, sales, and product roles to grow the organization.

## Why Work Here
- **Impactful mission**: Solve the "biggest problem in AI model training" — data quality — with research that has real-world impact.
- **World-class team**: Work alongside researchers and engineers from DeepMind, Meta AI, and MosaicML.
- **Culture of research**: Engineering and research are deeply intertwined; ideas are deployed into production, not just published.
- **In-office culture**: HQ in Redwood City, CA, with a strong in-office expectation ("In-Office" listed for all roles on Built In). [builtin.com](https://builtin.com/company/datologyai)
- **Benefits**: 100% covered health benefits (medical, vision, dental), 401(k) with 4% match, unlimited PTO, $2,000 annual wellness stipend, $1,000 annual L&D stipend, daily lunch/snacks, dinner for late work, relocation assistance. [datologyai.com](https://www.datologyai.com/careers)
- **Fast-paced, high-growth environment**: A chance to grow fast and make a significant impact at a well-funded startup.

## Sources
1. [DatologyAI About Page](https://www.datologyai.com/about)
2. [DatologyAI Careers Page](https://www.datologyai.com/careers)
3. [Built In Company Profile](https://builtin.com/company/datologyai)
4. [CB Insights Company Profile](https://www.cbinsights.com/company/datologyai)
5. [LinkedIn Company Page](https://www.linkedin.com/company/datologyai)

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