Full Stack Software Engineer (AI Platform)

Company: Collective

Location: San Francisco, CA

Salary: $190k - $214k per year

Type: Full-time

Level: Junior

Posted: 2026-03-05

About this role

About Collective
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.


Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google’s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.


About The Role
We’re looking for an exceptional software engineer to join our AI Platform team. You will have a rare chance to create a core capability from the ground up, integrating Artificial Intelligence, Generative AI, and intelligent agent technologies to influence Collective's operations and growth.


This is an exciting opportunity to develop a foundational feature that will shape how Collective functions and expands. As a senior engineer on this team, you will directly improve productivity, reduce operational hurdles, and help serve our expanding community of entrepreneurs by building innovative AI solutions. This role is critical to achieving non-linear scalability, where our business expansion significantly outpaces increases in operational headcount.


What You'll Do

  • Build end-to-end product features in close partnership with product and design teams.
  • Write high-quality, reliable code that’s easy to maintain and scale.
  • Collaborate with the team to make key architectural decisions that drive scalability.
  • Lead by example, foster a culture of egoless learning, and mentor other engineers.
  • App...

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