Full Stack Engineer

The Role

As a Full Stack Engineer at Golden Analytics, you'll own critical user experiences from end to end. You'll build the AI-powered features that our customers interact with every day - data preparation, analysis, storytelling, sharing and more. You'll integrate Golden Analytics into the systems that help our customers work seamlessly - collaboration, notifications, purchasing, and others. This isn't a role where you hand off specs and wait for feedback. You'll talk to customers in the morning, build in the afternoon, and ship by evening.

What We're Looking For

AI Zealots

• You don't just use AI tools, you geek out over them.
• You're all over coding agents and modern dev environments.
• You strive to learn, and encode that learning in ways today's development systems can use.
• You have shipped AI-enabled solutions and have guided coding agents to help you move faster.
• You know the limits of this tech, but push it to help you do more.

Customer Obsessed

• There's no barrier between you and our users.
• You have strong product sense and think like a founder.
• You understand that the best code is the code that delivers the most customer value, but that you can reliably maintain.
• You're comfortable jumping on customer calls, gathering feedback, and translating that directly into what you build.

Velocity Driven

• You move fast.
• You learn fast.
• You ship fast.
• You understand that velocity is a feature.
• You're comfortable with iteration, learning from failures, and pivoting quickly.
• Perfect is the enemy of shipped.
• You write scalable code that you can stand behind, but you know when to optimize for delivery speed versus perfection.

Passionate Builders

• You love what you do.
• There's fire in your belly for building something meaningful.
• You want to stand with pride next to what you build every day.
• You want to be on a mission and be part of something that transforms how people work with data.

What You'll Build

• AI-native data analysis, visualizations and dashboards
• Smart data preparation and enrichment
• Natural language interfaces for analytics
• Real-time collaboration tools
• Analytics-to-automation workflows

Requirements

• Strong full stack development experience - Vite, TypeScript, React, Postgres, Supabase (and more as we grow)
• Experience building with AI/ML technologies (LLMs, vector databases, coding agents, etc.)
• Track record of shipping customer-facing products
• Product thinking and design sensibility
• Comfort with ambiguity and rapid iteration

Salary Range

• $120,000-$150,000 (Software Engineer)
• $160,000-$190,000 (Senior Software Engineer)
• Plus equity - we're early-stage, so equity is a meaningful part of the offer