AI Solutions Engineer

Company: super{set}

Location: San Francisco, CA

Type: Full-time

Level: Junior

Posted: 2026-02-19

About this role

The Role
Kana is an agentic AI platform for marketers. We help enterprise brands find better audiences, optimize campaigns, and stay visible in an AI-driven world - using synthetic data enrichment, AI-powered analytics, and answer engine optimization.


We’re hiring an AI Solutions Builder to work directly with enterprise customers, understand their business problems, and use AI coding agents to build the applications that solve them. Not mockups. Not specs. Working software. This team is a strategic extension of the product. The goal is to convert customer builds into repeatable capabilities. Success is measured by how much learning maps into the platform.


This role didn’t exist two years ago. You’ll use tools like Claude Code, Cursor, and Copilot to design, build, and iterate on full-stack marketing applications within our platform. You’ll review AI-generated code, catch architectural mistakes, debug issues from logs and stack traces, and ship products that meet enterprise quality standards.


You’ll work under the direct guidance of the AI Solutions Lead, contributing to and refining our AI-assisted build methodology.


Hybrid - 4 days/week
What You’ll Actually Do

  • Deliver high-quality marketing applications that customers rely on in production.
  • Sit with enterprise customers to understand their workflows, pain points, and success criteria for marketing applications.
  • Use AI coding agents to design and build end-to-end full-stack applications - audience builders, analytics dashboards, campaign optimization tools - within Kana’s platform.
  • The most important skill in this role is the judgment of knowing when AI output is production-ready and when it needs correction.
  • Review AI-generated code for correctness, performance, and architecture. Spot problems like unindexed queries, bloated API responses, or poorly structured components, then direct the AI to fix them.
  • Debug by reading logs, tracing errors, and understanding enough ...

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