Bem | San Francisco, CA | Hybrid
Every major industry is about to rebuild its core operations on AI. The question is whether that AI can be trusted. We are building the answer.
Bem is the production infrastructure for unstructured data. We are pioneering Verified AI: every decision auditable, every output traceable, every error caught and permanently eliminated. While the rest of the industry ships agents that guess and hopes for the best, we built deterministic, composable primitives that Fortune 100s and bootstrapped founders alike trust with their most sensitive operations. We are the rails that AI at scale will run on.
Zero customer churn in a year. 140% NRR. 23x YoY revenue growth. Customers expand usage between 40% and 4x in their first three months. Insurance, finance, logistics, healthcare. Every AI decision on our platform is guardrailed, observable, and traceable.
We are hiring a Mid-Market Account Executive to build the next layer of a commercial engine that is scaling the future of Verified AI.
Our enterprise pipeline is deep. Fortune 100s, global logistics operators, financial institutions, major airlines. Real companies with real budgets buying real infrastructure. But enterprise cycles are long, and we need a mid-market motion that closes faster and creates compounding revenue alongside the big bets. We are looking for someone who can own the $20K-$50K ACV segment and eventually push our self-serve motion down to $7K ACV at high velocity.
This is not an enterprise AE role. You are not going to spend six months on a single deal. You are going to run a high-velocity, systems-driven motion where you close multiple deals per month and build a repeatable playbook that grows with us.
You will own the full mid-market sales cycle from first outreach to close. You will work directly with the founders (Upal and Antonio) to refine our mid-market ICP, test messaging, and build the playbook. You will engage technical buyers, primarily CTOs, VPs of Engineering, and senior engineers, who are evaluating whether to build or buy their unstructured data infrastructure. You will demonstrate that building is a trap and that buying from Bem is the smarter, faster, cheaper path.
You will develop deep fluency in our product so you can hold a room with technical stakeholders. You don't need to be an engineer, but you need to understand APIs, schemas, and data workflows well enough to have a credible conversation with someone who builds software for a living. You will operate in our CRM, track your pipeline religiously, and contribute to the infrastructure that makes our go-to-market engine scalable.
You will sell a product that actually works. That's not a throwaway line. We have zero churn. Customers grow their usage between 40% to 400% in the first three months. You are not going to spend your time managing unhappy customers or explaining away broken promises. You are going to sell something real and watch it land.
You have sold software to technical buyers at high velocity, ideally at a company like MongoDB, Datadog, Twilio, or Snowflake in their SMB or mid-market segment. You know what 15-20 simultaneous qualified opportunities feels like. You are technical enough to understand APIs, schemas, and why a CTO cares about auditability in their AI infrastructure. You listen, map pain to product, and close.
You are organized, direct, and build your own pipeline. You use AI and the latest tools responsibly: to gather intelligence and optimize quality, not for spray and pray. The tools have changed but the fundamentals have not: preparation, relevance, and respect for the buyer's time.
You are tired of selling vapor. You want to sell the infrastructure that the future of AI runs on.
Competitive base salary plus uncapped commission. Meaningful equity in a company approaching Series A with 23x YoY growth, zero churn, and a product that is defining the Verified AI category. Direct access to the founding team. A chance to build a commercial engine from the ground at a company that is building the rails for AI at scale. An office in SoMa, San Francisco.