San Francisco, CA · On-site · Full-timeCompensation: $120,000–$150,000 + competitive equity
About the Company
Our client is building an AI revenue platform for D2C brands with a heavy e-commerce focus, integrating with major platforms including Shopify, Salesforce Commerce Cloud, and Adobe Commerce. It helps mid-market and enterprise D2C brands build AI automations and tooling that drive more sales on- and off-platform, and runs its own internal analytics to track feature usage and performance. Just a few months old, it's already at $250K ARR and working with brands representing over $50M in GMV, with a comfortable 18+ months of runway and a projected 8x to $2–5M ARR by year-end. It's run by two technical co-founders who still code daily.
Founded 2026 · 1–10 people (Seed) · Industry: AI Tools
The Role
A Backend Engineer with a data-engineering lean, building the data enrichment, normalization, and ingestion pipelines that power the platform, plus the platform infrastructure and tooling that doesn't yet exist.
Tech stack: TypeScript on Fly.io (recently adopted; adaptability valued over deep stack-specific experience).
Requirements
- Strong proficiency using AI coding tools as a primary part of your development workflow (the top priority)
- Solid systems-engineering fundamentals — understands how features work end to end and how to build data layers
- Demonstrated startup experience with genuine ownership of what you built
- Comfortable with a high-intensity pace, 5–6 days a week
- 0–2 years of experience
Nice to Haves
- Fluent, heavy use of AI coding tools as a core part of daily development
- Genuine startup ownership: built and was responsible for real systems, not just features on a larger team
- Comfortable working from ambiguous input (say, a customer-meeting summary) and independently shaping the solution
- E-commerce, D2C, or platform-integration domain exposure
- A track record suggesting the ability to eventually hire and lead a small team
Why Join
- Ground-floor ownership: platform infrastructure, feature engineering, workflows, and observability tooling don't exist yet — you build them from scratch
- Real traction, early: $250K ARR at a few months old, brands worth $50M+ in GMV, 18+ months of runway, and a projected 8x to $2–5M ARR by year-end
- AI-native by default: heavy AI-tool development is the expected way of working, not a novelty
- Direct to the founders: report straight to a technical co-founder on a two-person engineering team
Details
- Location — San Francisco, CA
- Work policy — On-site, 5–6 days/week
- Compensation — $120,000–$150,000 + competitive equity
- Visa sponsorship — Not available
- Employment type — Full-time