About Brainbase Labs

We're building the first AI Workforce.

We believe every company will soon have AI Employees working alongside their human team—handling conversations, operations, and workflows end-to-end. Brainbase is the platform that makes this possible.

In just over a year, we’ve grown from zero to $XM+ ARR, with customers ranging from fast-growing SMBs to Fortune 50 enterprises. We’re well-funded and backed by top investors, and our team is a multi-national team coming from Harvard, Stanford, Berkeley, and more. We care about results, ownership, and hunger.

We're scaling Brainbase Conversational, a platform designed for teams across industries to build, test, deploy, observe, and autonomously improve conversational agents. We're currently live in over ~150 deployments across automotive, hospitality, and enterprise, and want to build out our marketing motion for the product.

About The Role

This is a Founding Marketer role for our Brainbase Conversational product. There is no playbook to follow—you’re helping build our marketing playbook from scratch.

Your job is to build and own our entire marketing motion, with inbound leads as the primary focus. You'll be defining our brand, messaging, and owning our online and social presence.

What You'll Do

• Define Brainbase’s positioning, messaging, and narrative across the website, sales collateral, and product

• Build the initial demand engine: content, events, webinars, partnerships, and experiments that generate real pipeline

• Work hand-in-hand with sales to craft ICPs, refine messaging, and turn objections into assets

• Create thought leadership around AI Employees, applied AI, and the future of work—without hype or fluff

• Launch and scale campaigns across owned and paid channels, iterating aggressively based on signal

• Develop customer stories, case studies, and proof points that make the product feel obvious to buy

• Establish early brand standards (visual, voice, tone) and enforce them with taste and discipline

• Instrument marketing performance and report clearly on what’s working, what’s not, and why

What We're Looking For

We care far more about judgment and taste than years on a resume. That said, you likely have:

• Experience building or owning marketing at an early-stage B2B SaaS or developer-adjacent company

• Strong product marketing instincts—especially in technical or category-defining products

• A track record of shipping campaigns that generate real demand, not vanity metrics

• The ability to turn ambiguous products into clear, compelling stories

• Comfort operating without structure, approval chains, or safety nets

• High personal bar for quality in writing, design, and narrative

Our Values

• Resourceful – You’ve been known to get a lot done with very little, whether it is time, money or compute.
• Resilient – You don’t quit when something is difficult, only when you have realized a better way to do it.
• Decisive – You can make informed decisions under stress with incomplete data, and move on to the next task (no hedging).
• L̶i̶k̶e̶ Love difficult problems – You like working at puzzles, chess or anything that you’re not immediately good at.
• Fun – You can smile/joke/enjoy yourself through the pain and the slog, and can lift up others even when things are objectively not going well.

Why You Should Join: Ownership, Impact, and Growth

This is not a “marketing role.” This is a chance to:

• Define a new category at the exact moment it’s being born

• Have direct influence on product, sales, and company strategy

• Build a function—and a legacy—from first principles

• Work with a small, intense, deeply capable founding team

• Learn what it takes to scale an AI company from zero to inevitability

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Compensation & Benefits

$110k-$170k base

0.2%-0.8% equity

Free Lunch and Dinner

100% paid-for medical, vision, dentist benefits

Our tech stack is divided into two sectors as building the interfaces for businesses to manage their workflows and developing the AI models that run automations.

For our interfaces, we work on the familiar stack of NextJS/React/TypeScript, with MongoDB as our database. We use Tailwind CSS for our styling.

Our backend is dockerized and runs on AWS servers and serverless instances, written in a combination of Node and Python.

For our development, we work with large-language models, primarily in Python, with Pytorch as our preferred ML framework.