Soma Capital Portfolio Jobs

Full-Stack Engineer (AI/Agentic Product)

SellScale

SellScale

Software Engineering, Product, Data Science
San Francisco, CA, USA
USD 120k-180k / year + Equity
Posted on Apr 15, 2025

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Full-Stack Engineer (AI/Agentic Product)

  • Software Development
  • Full-time
  • San Francisco, CA
  • 120K - 180K USD a year

Posted on April 15, 2025

Role

SellScale is building the first Agentic Revenue Org, starting with Selix - an agent for outbound sales.

We are looking for our next Founding Full Stack Software Engineer. This position will be shipping across the stack - backend, frontend, and database. You will quickly get involved with shipping AI/agentic features.

This position is targeting a minimum 1% equity minimum grant.

Requirements

  1. AI interest - including with agentic apps. Production AI experience not required. But, this should not be your first time making an agentic app or calling LLM APIs. Hackathons and extensive side projects are OKAY 👍.

  2. 1 year of work experience - unfortunately, no new grads.

  3. In person - able to work 5 days a week in San Francisco

  4. Solid CS fundamentals - an undergrad degree in CS, and able to ship across the stack:

    • Front-end: React/Typescript

    • Back-end: Python (e.g., Flask, FastAPI, or Django)

    • Database: SQL experience (e.g., Postgres)

  5. Early stage only - interest to join a startup as one of the first N employees

  6. AI-free coding - no vibe coding here! To pass the interview, you’ll be expected to ship with minimal AI use.

Reasons to think twice about applying…

🙅 You are looking for “senior leadership” guidance - be ready to solve your own problems!

🙅 You don't enjoy in-office culture - we work 5 days a week in-person

🙅 You’re looking for larger companies - this is an early, tight, technical team!

Positives

💡 You will make decisions that will take you 10 years at Google to do

💡 There are few other places where you will learn more about building in an agentic / AI than here

💡 You will have a driver’s seat in an Agentic AI startup in the heart of SF, with a mult $bn TAM - enterprise sales spend

Skills

  • Fearlessly works across the entire stack (backend / frontend / design / infra / tooling )

  • Strong Python, JavaScript, React, React Native, Flask, PSQL, and LLM-prompting skills.

  • Great prompting and knowledge of agentic systems (including building your own from scratch)

  • Strong communication skills for our non-technical userbase, and very technical team

  • Strong English as sales, prompting, and LLMs, all deal with language and what to say

Application process

A well-rounded application to test across the stack and against team culture.

  1. Intro call - get to know Selix & the SellScale team.

  2. Take home - Build a full stack agentic app

  3. Technical — Pair-program on your deliverable

  4. Product & pace — Walk through the non-tech side of SellScale - filled with prototyping, WOZing, prompting, and more.

The stack

✅ Front-end: React/Typescript

✅ Back-end: Python (Flask)

✅ Database: PostgresSQL

About SellScale

SellScale is building the first agentic revenue org.

Background: At a business, you’re either building the product or selling it. Enterprise sales spend is a multi-$bn market.

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 databases, 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: NewtonX Case Study

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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