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.
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!
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.
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!
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.
$130,000 — $175,000
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