Golden Analytics/AI Engineer
    Golden Analytics logo

    AI Engineer

    Golden Analytics
    Type
    full-time
    Work Style
    onsite
    Location
    Bellevue, WA
    Posted
    July 7, 2026
    Application Deadline
    Deadline passed
    Compensation
    $130,000-$200,000 (DOE)
    Description

    Golden Analytics | LinkedIn Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools -- the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way.

    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 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

    Who 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 have shipped AI-enabled solutions and have guided coding agents to help you move faster.

    Customer Obsessed**** — There's no barrier between you and our users. You have strong product sense and think like a founder. 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.

    Passionate Builders**** — You love what you do. There's fire in your belly for building something meaningful. You want to be on a mission and be part of something that transforms how people work with data.

    YOU MUST COMPLETE THE ASSOCIATED CHALLENGE TO BE CONSIDERED!

    Hiring Managers are reviewing applications on a WEEKLY basis.

    Required Qualifications
    • 5+ years of professional software engineering experience — we're looking for mid-career engineers who bring real-world judgment, not just technical skill
    • Strong full stack development experience — Vite, TypeScript, React, Postgres, Lovable, Supabase (and more as we grow). You don't need deep expertise in every tool, but React and TypeScript should be in your toolkit.
    • Experience building with AI/ML technologies (LLMs, vector databases, coding agents, etc.)
    • Track record of shipping customer-facing products at user-forward, product-led companies — think Canva, Figma, or similar modern tools, not back-office infrastructure
    • Product thinking and design sensibility
    • Comfort with ambiguity and rapid iteration

    Location

    This is an in-person role based in Bellevue, WA. We will consider relocation for exceptional candidates. H-1B visa transfers are supported; we are not sponsoring new H-1B visas at this time.

    Benefits & Perks
    • 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. Compensation is calibrated based on experience and demonstrated skill following the interview process.
    • Embrace new technologies to help be amazing for our customers

    Your Application

    Deadline passed

    Your application starts with a short challenge.

    Challenges
    Golden Analytics logoAbout Golden Analytics

    Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools -- the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way.