About us

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 sales motion for the product.

About the role

This is a Founding Sales role for our Brainbase Conversational product. There is no script, process, or systems built—you’re helping build the outbound motion from scratch.

Your job is to generate pipeline. You’ll be on the phones, testing messaging, booking meetings, and feeding real market feedback back into the product and sales motion.

What You’ll Do

• Make 100+ outbound calls per day
• Set 10+ qualified meetings per week and join demos with our leadership team.
• Own CRM hygiene and next steps until deals are closed.
• Rewrite, test, and refine scripts in real time—keep what converts, kill what doesn’t.
• Learn the conversational agent landscape quickly and speak confidently with founders.
• Work closely with leadership to iterate on ICP, messaging, and outreach.
• Work full-time in-person with us in our San Francisco office.

Qualifications

Outbound Sales Experience

• 1–3 years in a BDR/SDR role (or similar), ideally in a tech startup environment.
• Consistently exceeded quota in previous roles
• Comfort with high-volume cold calling, emailing, and LinkedIn outreach.

Technical Tool Proficiency

• Familiarity with lead generation and enrichment tools (ZoomInfo, Clay, Unify, etc.) and CRM systems (Salesforce, HubSpot, etc.).

Data-Driven Mindset

• Solid understanding of key prospecting metrics (contact rates, conversion rates, etc.) and how to optimize them.

Process-Oriented

• Proven ability to build or refine SDR workflows, document procedures, and create repeatable playbooks.
• Experience setting up A/B tests for outreach sequences and tracking success.

What We're Looking For

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

We've scaled from $0-$X million in 1 year with no sales team. We'll end this year at $xx million and you'll be the first on that rocketship.

You will have an enormous amount of ownership, play a serious role in our success, and be primed for promotions to an AE and Leadership.

You shouldn’t join if…

• You’re not comfortable selling a horizontal product.
• You’re not ready to work in ambiguity, without clear structure.
• You’re looking for a safe and easy path. We have a long runway and fast growth — but we’re still an early stage startup. It’ll be hard work (the occasional 60 hour week) with no guarantees.

Compensation & Benefits

• $70k-$120k base with a $125k–$185k OTE.
• Free Lunch and Dinner
• 100% paid-for medical, vision, dentist benefits
• Unlimited PTO

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.