Full Stack Software Engineer (AI Agents / Product / Founding / Mid-Sr)
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At a glance
Job overview
SellScale is building AI Agents for non‑technical users and seeks a Full Stack Engineer to tackle SaaS integration, user‑facing features, and AI agent infrastructure as a founding team member.
Skills & qualifications
Skills
Qualifications
Full job description
Role Most agents today are for coding, but 99% of the world aren’t engineers. At SellScale, we’re building AI Agents for non-technical people, starting with the sales org. As we grow, we’re looking for a Full Stack Engineer. You’ll be hopping between classic SaaS integration problems, user-facing requests, and AI agent infrastructure. This position is targeting a minimum 1% equity grant minimum and a $200k base salary minimum. Requirements
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2-5 years work experience at prev startups - you’re familiar in a production capacity and have worked on infrastructure ready to scale.
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Production experience in our tech stack - able to ship across the stack: React/typescript (frontend), Python (backend), SQL (database)
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Early stage ready - interest to join a startup as one of the first N employees as a founding engineer.
Benefits 💡 1-3% equity: there are few other jobs giving this much equity for this tenure/position. 💡 Agentic foundation: we’re a team that’s been working on agents since 2024 and ready to scale 💡 Market: Building a product for the 99% of users who don’t code
Application process Given this is a founding role, there will be a comprehensive process spanning ~7-10 fastest.
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Intro call - talk with the founder, Ishan (CEO)
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Video screen - a 1.5 hr deep dive between Kevin (CTO)
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in-person - come in-person for a worktrial
About SellScale SellScale is building the first agentic sales org. Background: At a business, you’re either building the product or selling it. Sales is the most expensive department - more than engineering, HR, marketing, and more, in large companies. (We wrote an article about it here!) Problem: As businesses grow larger, their sales spend grows disproportionately. Why? Sales—especially outbound—is still human-driven: it’s subjective, hard to measure, and doesn’t scale like code. This is exactly the kind of problem agents are built to solve. Opportunity: With the advent of recent tech like like agentic AI, large language models, vector DBs, and more - future sales is human x machine. Our agent, Selix, has already seen a lot of success. Timing: Right now, we are in the dot-com boom of AI Agents. The agents we' build help solve a businesses’s #1 problem: how to grow revenue. We use Chained LLM thinking and start of the art GTM tools to help companies grow. Want to learn more? Check out our resources below: Reference 1: Tencode Case Study: https://www.sellscale.com/customers/tencode-benefits Reference 2: I’m AI BDR, and I’m Selix (I’m a Mac, I’m a PC Parody) Reference 3: SellScale values
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