About Us

Anglera is building AI agents that automatically turn messy vendor feeds, PDFs, images, and spreadsheets into clean, structured product data. It’s a complex, high-leverage problem at the intersection of LLM orchestration, real-time data pipelines, and practical UX.

We’re YC-backed, led by Stanford AI grads who built the catalog systems at Uber Eats. Today, we power enrichment workflows for millions of SKUs across 20+ major retailers and marketplaces, and we’re scaling faster than ever.

We’re looking for high-agency engineers who want to work directly with customers, understand their workflows deeply, and translate that into clean, elegant, scalable software.

What You’ll Do

• Own systems end-to-end: architect, build, and scale the core AI enrichment platform
• Solve high-value problems fast, without getting bogged down in process and ceremony
• Push the boundaries of what agents can do using LLMs, data pipelines, and creative UX
• Work directly with customers: understand the problem on Monday, design by Tuesday, and ship a solution to production by Friday
• Influence product direction and technical strategy from day one

Who We’re Looking For

• You care more about solving the actual problem than debating frameworks
• You’re tired of corporate bloat, quarterly planning, and playing Jira Tetris
• You prefer daily sprints, fast feedback, and direct customer impact
• You love talking to users as much as writing code
• You believe the best solution is the simplest one that actually works
• You’re curious, autonomous, and driven by outcomes

Must-Have Skills

• Experience building production-grade AI or data-heavy applications
• Strong with Python, TypeScript, Next.js, SQL, or web scraping
• Bonus: Familiarity with LLMs, agents, or multi-modal data pipelines
• Willing to work in-person in San Francisco

Why Anglera

• Build foundational tech at a high-growth, profitable startup
• Work with a team that’s anti-bureaucracy and pro-builder
• Competitive comp + meaningful equity
• Direct line to customers, ownership over roadmap, and zero fluff