Founding Marketer

About Datalab

Datalab trains models that read documents reliably  world’s most important information is trapped in PDFs, scans, and files that can’t easily be parsed, and getting it out correctly matters. From frontier AI labs like Anthropic to Fortune 500s like Siemens, Datalab is where businesses turn when extraction has to be right.

We hit an 8-figure run rate with a team of 7. We have hundreds of customers across FAANG, frontier AI labs, healthcare, finance, government, and legal. Our tools - chandra, surya, marker, and lift - have 70,000+ Git Hub stars, millions of monthly downloads, and broad developer mindshare. We’re backed by founding members of OpenAI, FAIR, and Hugging Face.

Marketing at Datalab already has real infrastructure behind it. We run a combined launch and content calendar with a defined playbook - channels, owners, and cadence for every release - and we ship two to three launches a week against it. No one here works on marketing full-time, so nobody owns the larger question of how we show up when a developer, a buyer, or an AI agent goes looking for a document parser.

You’d be our first dedicated marketing hire. You’d inherit a working system rather than a blank page, and the job is to make it run reliably, then make it considerably more ambitious. The natural place to build from is our open source work, which reaches a wide audience and currently does less for us than it could.

This is a hands‑on role. On a team of 7, you’ll write the blog post, draft the tweets, restructure the docs page, brief the agency if we hire one, and pull the numbers yourself. We’re looking for someone who has done this work somewhere it was done well, and who wants to keep doing it rather than direct someone else who does.

There is strong potential for this to grow into a leadership role as we hire more people into the marketing team.

An increasing share of our buyers never touch a search results page; they ask a model. We want someone who takes seriously how Datalab gets recommended by LLMs and agents - how our site, docs, and benchmarks are structured, where models pull their answers from, and how any of it gets measured. Nobody has fully figured this out yet, and we’d like you to be the person who works it out here.

If you want to inherit a brand book, a content team, and a defined category, this isn’t the right role. If you want to shape how a technical category gets talked about, with real customers and real distribution to work from, it’s a good one.

A typical week might look like: shipping the launch post for a new open source model, ghostwriting a thread for one of our researchers, editing a vertical explainer on tracked‑changes extraction for legal teams, restructuring a docs page so a model can actually cite it, answering a sharp question in Discord, and digging into why organic signups dipped last week.

• Own our model launches, especially open source. Every release - chandra, surya, marker, lift, and what comes next - should land. You’ll build the assets (launch posts, benchmark write‑ups, demos, docs), coordinate the team’s posts, work HN and Reddit and the ML community, handle press where it’s worth handling, and run the retro afterward so the next one lands harder.

• Take over and scale the content engine. Inherit the calendar, tighten the cadence, and own the strategy and much of the writing. Educational content for developers evaluating us, and vertical‑specific content for the buyers who need to see their own documents in the example - legal, healthcare, financial services, insurance, logistics, government.

• Ghostwrite for the team. Our engineers and researchers know things worth writing about and mostly won’t write it themselves. You’ll draft in…