Full Stack Engineer

Golden AnalyticsBellevue, WA

About The Position

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.

Requirements

  • Strong full stack development experience with Vite, TypeScript, React, Postgres, Supabase.
  • 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.

Nice To Haves

  • Geek out over AI tools, coding agents, and modern dev environments.
  • Strive to learn and encode that learning in ways today's development systems can use.
  • Shipped AI-enabled solutions and guided coding agents to move faster.
  • Understand the limits of AI tech but push it to do more.
  • Strong product sense and think like a founder.
  • Understand that the best code delivers the most customer value and is reliably maintainable.
  • Move fast, learn fast, ship fast.
  • Understand that velocity is a feature.
  • Comfortable with iteration, learning from failures, and pivoting quickly.
  • Write scalable code that you can stand behind, but know when to optimize for delivery speed versus perfection.
  • Passionate about building something meaningful and transforming how people work with data.

Responsibilities

  • Build AI-powered features for data preparation, analysis, storytelling, and sharing.
  • Integrate Golden Analytics into customer systems for collaboration, notifications, and purchasing.
  • Engage with customers to gather feedback and translate it into product development.
  • Develop AI-native data analysis, visualizations, and dashboards.
  • Create smart data preparation and enrichment tools.
  • Build natural language interfaces for analytics.
  • Develop real-time collaboration tools.
  • Implement analytics-to-automation workflows.

Benefits

  • Ground floor opportunity at a well-funded startup (backed by top-tier VCs)
  • Work directly with founders and customers
  • Shape product decisions and company culture
  • Competitive salary and equity
  • Embrace new technologies to help be amazing for our customers
  • Doing the best work of your life
  • Actually having fun at your job again
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